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We use a novel sea-ice lead climatology for the winters of 2002/03 to 2020/21 based on satellite observations with 1 km2 spatial resolution to identify predominant patterns in Arctic wintertime sea-ice leads. The causes for the observed spatial and temporal variabilities are investigated using ocean surface current velocities and eddy kinetic energies from an ocean model (Finite Element Sea Ice–Ice-Shelf–Ocean Model, FESOM) and winds from a regional climate model (CCLM) and ERA5 reanalysis, respectively. The presented investigation provides evidence for an influence of ocean bathymetry and associated currents on the mechanic weakening of sea ice and the accompanying occurrence of sea-ice leads with their characteristic spatial patterns. While the driving mechanisms for this observation are not yet understood in detail, the presented results can contribute to opening new hypotheses on ocean–sea-ice interactions. The individual contribution of ocean and atmosphere to regional lead dynamics is complex, and a deeper insight requires detailed mechanistic investigations in combination with considerations of coastal geometries. While the ocean influence on lead dynamics seems to act on a rather long-term scale (seasonal to interannual), the influence of wind appears to trigger sea-ice lead dynamics on shorter timescales of weeks to months and is largely controlled by individual events causing increased divergence. No significant pan-Arctic trends in wintertime leads can be observed.
The microbial enzyme alkaline phosphatase contributes to the removal of organic phosphorus compounds from wastewaters. To cope with regulatory threshold values for permitted maximum phosphor concentrations in treated wastewaters, a high activity of this enzyme in the biological treatment stage, e.g., the activated sludge process, is required. To investigate the reaction dynamics of this enzyme, to analyze substrate selectivities, and to identify potential inhibitors, the determination of enzyme kinetics is necessary. A method based on the application of the synthetic fluorogenic substrate 4-methylumbelliferyl phosphate is proven for soils, but not for activated sludges. Here, we adapt this procedure to the latter. The adapted method offers the additional benefit to determine inhibition kinetics. In contrast to conventional photometric assays, no particle removal, e.g., of sludge pellets, is required enabling the analysis of the whole sludge suspension as well as of specific sludge fractions. The high sensitivity of fluorescence detection allows the selection of a wide substrate concentration range for sound modeling of kinetic functions.
- Fluorescence array technique for fast and sensitive analysis of high sample numbers
- No need for particle separation – analysis of the whole (diluted) sludge suspension
- Simultaneous determination of standard and inhibition kinetics
Redox-driven biogeochemical cycling of iron plays an integral role in the complex process network of ecosystems, such as carbon cycling, the fate of nutrients and greenhouse gas emissions. We investigate Fe-(hydr)oxide (trans)formation pathways from rhyolitic tephra in acidic topsoils of South Patagonian Andosols to evaluate the ecological relevance of terrestrial iron cycling for this sensitive fjord ecosystem. Using bulk geochemical analyses combined with micrometer-scale-measurements on individual soil aggregates and tephra pumice, we document biotic and abiotic pathways of Fe released from the glassy tephra matrix and titanomagnetite phenocrysts. During successive redox cycles that are controlled by frequent hydrological perturbations under hyper-humid climate, (trans)formations of ferrihydrite-organic matter coprecipitates, maghemite and hematite are closely linked to tephra weathering and organic matter turnover. These Fe-(hydr)oxides nucleate after glass dissolution and complexation with organic ligands, through maghemitization or dissolution-(re)crystallization processes from metastable precursors. Ultimately, hematite represents the most thermodynamically stable Fe-(hydr)oxide formed under these conditions and physically accumulates at redox interfaces, whereas the ferrihydrite coprecipitates represent a so far underappreciated terrestrial source of bio-available iron for fjord bioproductivity. The insights into Fe-(hydr)oxide (trans)formation in Andosols have implications for a better understanding of biogeochemical cycling of iron in this unique Patagonian fjord ecosystem.
Regional climate models are a valuable tool for the study of the climate processes and climate change in polar regions, but the performance of the models has to be evaluated using experimental data. The regional climate model CCLM was used for simulations for the MOSAiC period with a horizontal resolution of 14 km (whole Arctic). CCLM was used in a forecast mode (nested in ERA5) and used a thermodynamic sea ice model. Sea ice concentration was taken from AMSR2 data (C15 run) and from a high-resolution data set (1 km) derived from MODIS data (C15MOD0 run). The model was evaluated using radiosonde data and data of different profiling systems with a focus on the winter period (November–April). The comparison with radiosonde data showed very good agreement for temperature, humidity, and wind. A cold bias was present in the ABL for November and December, which was smaller for the C15MOD0 run. In contrast, there was a warm bias for lower levels in March and April, which was smaller for the C15 run. The effects of different sea ice parameterizations were limited to heights below 300 m. High-resolution lidar and radar wind profiles as well as temperature and integrated water vapor (IWV) data from microwave radiometers were used for the comparison with CCLM for case studies, which included low-level jets. LIDAR wind profiles have many gaps, but represent a valuable data set for model evaluation. Comparisons with IWV and temperature data of microwave radiometers show very good agreement.
Influence of Ozone and Drought on Tree Growth under Field Conditions in a 22 Year Time Series
(2022)
Studying the effect of surface ozone (O3) and water stress on tree growth is important for planning sustainable forest management and forest ecology. In the present study, a 22-year long time series (1998–2019) on basal area increment (BAI) and fructification severity of European beech (Fagus sylvatica L.) and Norway spruce (Picea abies (L.) H.Karst.) at five forest sites in Western Germany (Rhineland Palatinate) was investigated to evaluate how it correlates with drought and stomatal O3 fluxes (PODY) with an hourly threshold of uptake (Y) to represent the detoxification capacity of trees (POD1, with Y = 1 nmol O3 m−2 s−1). Between 1998 and 2019, POD1 declined over time by on average 0.31 mmol m−2 year−1. The BAI showed no significant trend at all sites, except in Leisel where a slight decline was observed over time (−0.37 cm2 per year, p < 0.05). A random forest analysis showed that the soil water content and daytime O3 mean concentration were the best predictors of BAI at all sites. The highest mean score of fructification was observed during the dry years, while low level or no fructification was observed in most humid years. Combined effects of drought and O3 pollution mostly influence tree growth decline for European beech and Norway spruce.
Measurements of the atmospheric boundary layer (ABL) structure were performed for three years (October 2017–August 2020) at the Russian observatory “Ice Base Cape Baranova” (79.280° N, 101.620° E) using SODAR (Sound Detection And Ranging). These measurements were part of the YOPP (Year of Polar Prediction) project “Boundary layer measurements in the high Arctic” (CATS_BL) within the scope of a joint German–Russian project. In addition to SODAR-derived vertical profiles of wind speed and direction, a suite of complementary measurements at the observatory was available. ABL measurements were used for verification of the regional climate model COSMO-CLM (CCLM) with a 5 km resolution for 2017–2020. The CCLM was run with nesting in ERA5 data in a forecast mode for the measurement period. SODAR measurements were mostly limited to wind speeds <12 m/s since the signal was often lost for higher winds. The SODAR data showed a topographical channeling effect for the wind field in the lowest 100 m and some low-level jets (LLJs). The verification of the CCLM with near-surface data of the observatory showed good agreement for the wind and a negative bias for the 2 m temperature. The comparison with SODAR data showed a positive bias for the wind speed of about 1 m/s below 100 m, which increased to 1.5 m/s for higher levels. In contrast to the SODAR data, the CCLM data showed the frequent presence of LLJs associated with the topographic channeling in Shokalsky Strait. Although SODAR wind profiles are limited in range and have a lot of gaps, they represent a valuable data set for model verification. However, a full picture of the ABL structure and the climatology of channeling events could be obtained only with the model data. The climatological evaluation showed that the wind field at Cape Baranova was not only influenced by direct topographic channeling under conditions of southerly winds through the Shokalsky Strait but also by channeling through a mountain gap for westerly winds. LLJs were detected in 37% of all profiles and most LLJs were associated with channeling, particularly LLJs with a jet speed ≥ 15 m/s (which were 29% of all LLJs). The analysis of the simulated 10 m wind field showed that the 99%-tile of the wind speed reached 18 m/s and clearly showed a dipole structure of channeled wind at both exits of Shokalsky Strait. The climatology of channeling events showed that this dipole structure was caused by the frequent occurrence of channeling at both exits. Channeling events lasting at least 12 h occurred on about 62 days per year at both exits of Shokalsky Strait.
Anpassung an den Klimawandel stellt eine komplexe gesellschaftliche Herausforderung dar und hat Bezug zu steuerungstheoretischen Fragen um Governance. Klimaanpassung zeichnet sich aus durch die Zusammenarbeit staatlicher und nicht-staatlicher Akteure, netzwerkartige Strukturen, flexible Steuerungsmechanismen sowie formelle und informelle Koordinationsstrukturen. Für die erfolgreiche Gestaltung von Klimaanpassungspolitik müssen vielfältige Akteurs- und Interessenskonstellationen berücksichtigt werden.
Ziel der vorliegenden Studie ist es, das Traben-Trarbacher Akteurs- und Stakeholdernetzwerk aus Perspektive der Klimaanpassung zu analysieren. Ein besonderer Fokus liegt hierbei auf den regionalwirtschaftlich bedeutenden Sektoren Weinbau und Tourismus, die integriert und im Kontext von kommunalen, regionalen und überregionalen Strukturen betrachtet werden. Im Rahmen der Analyse wurden das Beziehungsgeflecht, die Reichweite und Diversität des Netzwerks sowie die Zusammensetzung der Akteurslandschaft dargestellt. Darüber hinaus konnten wichtige Schlüsselakteure, potenzielle Multiplikatoren, Interdependenzen zwischen Weinbau und Tourismus sowie Informations- und Wissensquellen identifiziert werden.
Die Ergebnisse der Stakeholderanalyse geben wichtige Hinweise darauf, welche Akteure in Steuerungsprozesse von Klimaanpassung einbezogen und welche lokalen Gegebenheiten und Beziehungen hierbei berücksichtig werden müssen. Besonders die Zusammensetzung der Akteure hat entscheidenden Einfluss auf den Verlauf und Erfolg der Steuerung von Klimaanpassung. Die vorliegende Stakeholderanalyse schafft also eine wichtige Grundlage zur Etablierung eines Governance-Netzwerks für die Erarbeitung und Erprobung von Klimawandelanpassungsmaßnahmen in Traben-Trarbach und der Moselregion. Damit dient die Analyse der langfristigen Verankerung von Klimaanpassung in der Region und kann auch als Anregung für weitere Kommunen genutzt werden, die vor ähnlichen Herausforderungen stehen wie Traben-Trarbach.
Dieser Maßnahmenkatalog stellt Anpassungsoptionen für den Weinbau an der Mittelmosel vor. Die gemeinsam mit lokalen Akteur*innen erarbeiteten Maßnahmen zielen erstens darauf ab, konkrete Handlungsoptionen zur Anpassung des Weinbaus an den Klimawandel aufzuzeigen. Zweitens sollen durch strukturelle Maßnahmen bestehende regionalspezifische Herausforderungen adressiert und die generellen Anpassungskapazitäten der Akteur*innen an der Mittelmosel gestärkt werden.
Anpassung an den Klimawandel ist eine Zukunftsaufgabe. Auch für den Tourismussektor in der Moselregion.
Der vorliegende Bericht gibt einen Überblick zu den Chancen und Risiken, die im Rahmen des Klimawandels für den Weintourismus an der Mittelmosel entstehen. Mit Hilfe einer SWOT-Analyse wurden am Beispiel der im Projekt Mosel-AdapTiV kooperierenden Kommune Tra-ben-Trarbach exemplarisch die Auswirkungen für eine Vielzahl traditioneller Weinbauorte an der Mittelmosel untersucht.
Als touristische Destination ist die Region Mittelmosel von vielfältigen Auswirkungen des Klimawandels betroffen. Eine Verschiebung der Vegetationsperioden, Extremereignisse wie Starkregen oder Hitzeperioden werden das Leben und Wirtschaften in der Region grundlegend verändern. Diese Klimawirkfolgen treffen mit weiteren regionalökonomischen, soziokulturellen und umweltbezogenen Veränderungen zusammen. Daraus gehen Risiken und zum Teil auch Chancen für den Weintourismus und dessen Vermarktung einher. Wie wir in der Studie zeigen, sind Chancen (beispielsweise durch die Verlängerung der Sommersaison durch veränderte Mitteltemperaturen) aber häufig mit Risiken verbunden (beispielsweise für die identitätsstiftende Weinkulturlandschaft und den beliebten charakteristischen Riesling). Beide Aspekte, die Chancen sowie die Risiken zu untersuchen, ist Gegenstand der SWOT Analyse. Sie hat das Ziel, lokale und regionale Akteure des Tourismus sowie der Stadt- und Regio-nalentwicklung zu sensibilisieren und zu informieren und dazu anzuregen, geeignete Anpas-sungsstrategien zu entwickeln.
Anpassung an die Auswirkungen des Klimawandels bedeutet, sich mit den Folgen zu befassen, Risiken in verschiedenen Sektoren und Handlungsfeldern zu minimieren und sich auf veränderte klimatische Bedingungen in der Zukunft einzustellen. Im Rahmen dessen sollten kon-krete Anpassungsmaßnahmen entwickelt und implementiert werden. Dieser Bericht enthält erste Handlungsempfehlungen. Sie setzen bei der touristischen Vermarktung an, um Chancen wie verlängerte Wärmeperioden oder ein erweitertes Angebotsportfolio nutzen zu können. Zum Minimieren von Risiken empfehlen sich Ansätze wie die Sensibilisierung und Information der Akteur*innen, sowie konkrete Maßnahmen, bspw. zur Reduktion von Hitzestress. Diese Handlungsempfehlungen sollen nicht zuletzt den Akteur*innen vor Ort als Leitfaden zur Kli-mawandelanpassung im Traben-Trarbacher (Wein-)Tourismus dienen. Die Erkenntnisse dieses Berichts dienen als entsprechende Grundlage.
Dieser Bericht basiert auf einer Auswertung relevanter Literatur, der Analyse örtlicher und überregionaler Tourismuskonzepte sowie mehreren qualitativen Interviews mit Akteur*innen vor Ort. Er bildet eine Basis für die weitere Projektarbeit und soll dabei helfen, sektorenübergreifende, langfristige und ganzheitliche Anpassungsstrategien zu entwickeln.
A model-based temperature adjustment scheme for wintertime sea-ice production retrievals from MODIS
(2022)
Knowledge of the wintertime sea-ice production in Arctic polynyas is an important requirement for estimations of the dense water formation, which drives vertical mixing in the upper ocean. Satellite-based techniques incorporating relatively high resolution thermal-infrared data from MODIS in combination with atmospheric reanalysis data have proven to be a strong tool to monitor large and regularly forming polynyas and to resolve narrow thin-ice areas (i.e., leads) along the shelf-breaks and across the entire Arctic Ocean. However, the selection of the atmospheric data sets has a large influence on derived polynya characteristics due to their impact on the calculation of the heat loss to the atmosphere, which is determined by the local thin-ice thickness. In order to overcome this methodical ambiguity, we present a MODIS-assisted temperature adjustment (MATA) algorithm that yields corrections of the 2 m air temperature and hence decreases differences between the atmospheric input data sets. The adjustment algorithm is based on atmospheric model simulations. We focus on the Laptev Sea region for detailed case studies on the developed algorithm and present time series of polynya characteristics in the winter season 2019/2020. It shows that the application of the empirically derived correction decreases the difference between different utilized atmospheric products significantly from 49% to 23%. Additional filter strategies are applied that aim at increasing the capability to include leads in the quasi-daily and persistence-filtered thin-ice thickness composites. More generally, the winter of 2019/2020 features high polynya activity in the eastern Arctic and less activity in the Canadian Arctic Archipelago, presumably as a result of the particularly strong polar vortex in early 2020.
Extension of an Open GEOBIA Framework for Spatially Explicit Forest Stratification with Sentinel-2
(2022)
Spatially explicit information about forest cover is fundamental for operational forest management and forest monitoring. Although open-satellite-based earth observation data in a spatially high resolution (i.e., Sentinel-2, ≤10 m) can cover some information needs, spatially very high-resolution imagery (i.e., aerial imagery, ≤2 m) is needed to generate maps at a scale suitable for regional and local applications. In this study, we present the development, implementation, and evaluation of a Geographic Object-Based Image Analysis (GEOBIA) framework to stratify forests (needleleaved, broadleaved, non-forest) in Luxembourg. The framework is exclusively based on open data and free and open-source geospatial software. Although aerial imagery is used to derive image objects with a 0.05 ha minimum size, Sentinel-2 scenes of 2020 are the basis for random forest classifications in different single-date and multi-temporal feature setups. These setups are compared with each other and used to evaluate the framework against classifications based on features derived from aerial imagery. The highest overall accuracies (89.3%) have been achieved with classification on a Sentinel-2-based vegetation index time series (n = 8). Similar accuracies have been achieved with classification based on two (88.9%) or three (89.1%) Sentinel-2 scenes in the greening phase of broadleaved forests. A classification based on color infrared aerial imagery and derived texture measures only achieved an accuracy of 74.5%. The integration of the texture measures into the Sentinel-2-based classification did not improve its accuracy. Our results indicate that high resolution image objects can successfully be stratified based on lower spatial resolution Sentinel-2 single-date and multi-temporal features, and that those setups outperform classifications based on aerial imagery only. The conceptual framework of spatially high-resolution image objects enriched with features from lower resolution imagery facilitates the delivery of frequent and reliable updates due to higher spectral and temporal resolution. The framework additionally holds the potential to derive additional information layers (i.e., forest disturbance) as derivatives of the features attached to the image objects, thus providing up-to-date information on the state of observed forests.
Soil organic matter (SOM) is an indispensable component of terrestrial ecosystems. Soil organic carbon (SOC) dynamics are influenced by a number of well-known abiotic factors such as clay content, soil pH, or pedogenic oxides. These parameters interact with each other and vary in their influence on SOC depending on local conditions. To investigate the latter, the dependence of SOC accumulation on parameters and parameter combinations was statistically assessed that vary on a local scale depending on parent material, soil texture class, and land use. To this end, topsoils were sampled from arable and grassland sites in south-western Germany in four regions with different soil parent material. Principal component analysis (PCA) revealed a distinct clustering of data according to parent material and soil texture that varied largely between the local sampling regions, while land use explained PCA results only to a small extent. The PCA clusters were differentiated into total clusters that contain the entire dataset or major proportions of it and local clusters representing only a smaller part of the dataset. All clusters were analysed for the relationships between SOC concentrations (SOC %) and mineral-phase parameters in order to assess specific parameter combinations explaining SOC and its labile fractions hot water-extractable C (HWEC) and microbial biomass C (MBC). Analyses were focused on soil parameters that are known as possible predictors for the occurrence and stabilization of SOC (e.g. fine silt plus clay and pedogenic oxides). Regarding the total clusters, we found significant relationships, by bivariate models, between SOC, its labile fractions HWEC and MBC, and the applied predictors. However, partly low explained variances indicated the limited suitability of bivariate models. Hence, mixed-effect models were used to identify specific parameter combinations that significantly explain SOC and its labile fractions of the different clusters. Comparing measured and mixed-effect-model-predicted SOC values revealed acceptable to very good regression coefficients (R2=0.41–0.91) and low to acceptable root mean square error (RMSE = 0.20 %–0.42 %). Thereby, the predictors and predictor combinations clearly differed between models obtained for the whole dataset and the different cluster groups. At a local scale, site-specific combinations of parameters explained the variability of organic carbon notably better, while the application of total models to local clusters resulted in less explained variance and a higher RMSE. Independently of that, the explained variance by marginal fixed effects decreased in the order SOC > HWEC > MBC, showing that labile fractions depend less on soil properties but presumably more on processes such as organic carbon input and turnover in soil.
The process of land degradation needs to be understood at various spatial and temporal scales in order to protect ecosystem services and communities directly dependent on it. This is especially true for regions in sub-Saharan Africa, where socio economic and political factors exacerbate ecological degradation. This study identifies spatially explicit land change dynamics in the Copperbelt province of Zambia in a local context using satellite vegetation index time series derived from the MODIS sensor. Three sets of parameters, namely, monthly series, annual peaking magnitude, and annual mean growing season were developed for the period 2000 to 2019. Trend was estimated by applying harmonic regression on monthly series and linear least square regression on annually aggregated series. Estimated spatial trends were further used as a basis to map endemic land change processes. Our observations were as follows: (a) 15% of the study area dominant in the east showed positive trends, (b) 3% of the study area dominant in the west showed negative trends, (c) natural regeneration in mosaic landscapes (post shifting cultivation) and land management in forest reserves were chiefly responsible for positive trends, and (d) degradation over intact miombo woodland and cultivation areas contributed to negative trends. Additionally, lower productivity over areas with semi-permanent agriculture and shift of new encroachment into woodlands from east to west of Copperbelt was observed. Pivot agriculture was not a main driver in land change. Although overall greening trends prevailed across the study site, the risk of intact woodlands being exposed to various disturbances remains high. The outcome of this study can provide insights about natural and assisted landscape restoration specifically addressing the miombo ecoregion.
Measurements of dust emissions and the modeling of dissipation dynamics and total values are related to great uncertainties. Agricultural activity, especially soil cultivation, may be an essential component to calculate and model local and regional dust dynamics and even connect to the global dust cycle. To budget total dust and to assess the impact of tillage, measurement of mobilized and transported dust is an essential but rare basis. In this study, a simple measurement concept with Modified Wilson and Cook samplers was applied for dust measurements on a small temporal and spatial scale on steep-slope vineyards in the Moselle area. Without mechanical impact, a mean horizontal flux of 0.01 g m2 min−1 was measured, while row tillage produced a mean horizontal flux of 5.92 g m2 min−1 of mobilized material and 4.18 g m2 min−1 emitted dust from site (=soil loss). Compared on this singular-event basis, emissions during tillage operations generated 99.89% of total emitted dust from the site under low mean wind velocities. The results also indicate a differing impact of specific cultivation operations, mulching, and tillage tools as well as the additional influence of environmental conditions, with highest emissions on dry soil and with additional wind impact. The dust source function is strongly associated with cultivation operations, implying highly dynamic but also regular and thus predictable and projectable emission peaks of total suspended particles. Detailed knowledge of the effects of mechanical impulses and reliable quantification of the local dust emission inventory are a basis for analysis of risk potential and choice of adequate management options.
The larval stage of the European fire salamander (Salamandra salamandra) inhabits both lentic and lotic habitats. In the latter, they are constantly exposed to unidirectional water flow, which has been shown to cause downstream drift in a variety of taxa. In this study, a closed artificial creek, which allowed us to keep the water flow constant over time and, at the same time, to simulates with predefined water quantities and durations, was used to examine the individual movement patterns of marked larval fire salamanders exposed to unidirectional flow. Movements were tracked by marking the larvae with VIAlpha tags individually and by using downstream and upstream traps. Most individuals showed stationarity, while downstream drift dominated the overall movement pattern. Upstream movements were rare and occurred only on small distances of about 30 cm; downstream drift distances exceeded 10 m (until next downstream trap). The simulated flood events increased drift rates significantly, even several days after the flood simulation experiments. Drift probability increased with decreasing body size and decreasing nutritional status. Our results support the production hypothesis as an explanation for the movements of European fire salamander larvae within creeks.
Low-level jets (LLJs) are climatological features in polar regions. It is well known that katabatic winds over the slopes of the Antarctic ice sheet are associated with strong LLJs. Barrier winds occurring, e.g., along the Antarctic Peninsula may also show LLJ structures. A few observational studies show that LLJs occur over sea ice regions. We present a model-based climatology of the wind field, of low-level inversions and of LLJs in the Weddell Sea region of the Antarctic for the period 2002–2016. The sensitivity of the LLJ detection on the selection of the wind speed maximum is investigated. The common criterion of an anomaly of at least 2 m/s is extended to a relative criterion of wind speed decrease above and below the LLJ. The frequencies of LLJs are sensitive to the choice of the relative criterion, i.e., if the value for the relative decrease exceeds 15%. The LLJs are evaluated with respect to the frequency distributions of height, speed, directional shear and stability for different regions. LLJs are most frequent in the katabatic wind regime over the ice sheet and in barrier wind regions. During winter, katabatic LLJs occur with frequencies of more than 70% in many areas. Katabatic LLJs show a narrow range of heights (mostly below 200 m) and speeds (typically 10–20 m/s), while LLJs over the sea ice cover a broad range of speeds and heights. LLJs are associated with surface inversions or low-level lifted inversions. LLJs in the katabatic wind and barrier wind regions can last several days during winter. The duration of LLJs is sensitive to the LLJ definition criteria. We propose to use only the absolute criterion for model studies.
Digital technologies have become central to social interaction and accessing goods and services. Development strategies and approaches to governance have increasingly deployed self-labelled ‘smart’ technologies and systems at various spatial scales, often promoted as rectifying social and geographic inequalities and increasing economic and environmental efficiencies. These have also been accompanied with similarly digitalized commercial and non-profit offers, particularly within the sharing economy. Concern has grown, however, over possible inequalities linked to their introduction. In this paper we critically analyse the role of sharing economies’ contribution to more inclusive, socially equitable
and spatially just transitions. Conceptually, this paper brings together literature on sharing economies, smart urbanism
and just transitions. Drawing on an explorative database of sharing initiatives within the cross-border region of Luxembourg and Germany, we discuss aspects of sustainability as they relate to distributive justice through spatial accessibility, intended benefits, and their operationalization. The regional analysis shows the diversity of sharing models, how they are appropriated in different ways and how intent and operationalization matter in terms of potential benefits.
Results emphasize the need for more fine-grained, qualitative research revealing who is, and is not, participating and
benefitting from sharing economies.
Amphibian diversity in the Amazonian floating meadows: a Hanski core-satellite species system
(2021)
The Amazon catchment is the largest river basin on earth, and up to 30% of its waters flow across floodplains. In its open waters, floating plants known as floating meadows abound. They can act as vectors of dispersal for their associated fauna and, therefore, can be important for the spatial structure of communities. Here, we focus on amphibian diversity in the Amazonian floating meadows over large spatial scales. We recorded 50 amphibian species over 57 sites, covering around 7000 km along river courses. Using multi-site generalised dissimilarity modelling of zeta diversity, we tested Hanski's core-satellite hypothesis and identified the existence of two functional groups of species operating under different ecological processes in the floating meadows. ‘Core' species are associated with floating meadows, while ‘satellite' species are associated with adjacent environments, being only occasional or accidental occupants of the floating vegetation. At large scales, amphibian diversity in floating meadows is mostly determined by stochastic (i.e. random/neutral) processes, whereas at regional scales, climate and deterministic (i.e. niche-based) processes are central drivers. Compared with the turnover of ‘core' species, the turnover of ‘satellite' species increases much faster with distances and is also controlled by a wider range of climatic features. Distance is not a limiting factor for ‘core' species, suggesting that they have a stronger dispersal ability even over large distances. This is probably related to the existence of passive long-distance dispersal of individuals along rivers via vegetation rafts. In this sense, Amazonian rivers can facilitate dispersal, and this effect should be stronger for species associated with riverine habitats such as floating meadows.
Background
The morphology of anuran larvae is suggested to differ between species with tadpoles living in standing (lentic) and running (lotic) waters. To explore which character combinations within the general tadpole morphospace are associated with these habitats, we studied categorical and metric larval data of 123 (one third of which from lotic environments) Madagascan anurans.
Results
Using univariate and multivariate statistics, we found that certain combinations of fin height, body musculature and eye size prevail either in larvae from lentic or lotic environments.
Conclusion
Evidence for adaptation to lotic conditions in larvae of Madagascan anurans is presented. While lentic tadpoles typically show narrow to moderate oral discs, small to medium sized eyes, convex or moderately low fins and non-robust tail muscles, tadpoles from lotic environments typically show moderate to broad oral discs, medium to big sized eyes, low fins and a robust tail muscle.
The state-of-the-art finite element software Plaxis 3D was applied in a real-world study site of the Turaida castle mound to investigate the slope stability of the mound and understand the mechanisms triggering landslides there. During the simulation, the stability of the castle mound was analysed and the most landslide-susceptible zones of hillslopes were determined. The 3D finite-element stability analysis has significant advantages over conventional 2D limit-equilibrium methods where locations of 2D stability sections are arbitrarily selected. Two modelling scenarios of the slope stability were elaborated considering deep-seated slides in bedrock and shallow landslides in the colluvial material of slopes. The model shows that shallow slides in colluvium are more probable. In the finite-element model, slope failure occurs along the weakest zone in colluvium, similarly to the situation observed in previous landslides in the study site. The physical basis of the model allows results to be obtained very close to natural conditions and delivers valuable insight in triggering mechanisms of landslides.
Intense, southward low-level winds are common in Nares Strait, between Ellesmere Island and northern Greenland. The steep topography along Nares Strait leads to channelling effects, resulting in an along-strait flow. This research study presents a 30-year climatology of the flow regime from simulations of the COSMO-CLM climate model. The simulations are available for the winter periods (November–April) 1987/88 to 2016/17, and thus, cover a period long enough to give robust long-term characteristics of Nares Strait. The horizontal resolution of 15 km is high enough to represent the complex terrain and the meteorological conditions realistically. The 30-year climatology shows that LLJs associated with gap flows are a climatological feature of Nares Strait. The maximum of the mean 10-m wind speed is around 12 m s-1 and is located at the southern exit of Smith Sound. The wind speed is strongly related to the pressure gradient. Single events reach wind speeds of 40 m s-1 in the daily mean. The LLJs are associated with gap flows within the narrowest parts of the strait under stably stratified conditions, with the main LLJ occurring at 100–250 m height. With increasing mountain Froude number, the LLJ wind speed and height increase. The frequency of strong wind events (>20 m s-1 in the daily mean) for the 10 m wind shows a strong interannual variability with an average of 15 events per winter. Channelled winds have a strong impact on the formation of the North Water polynya.
Introduction:In patients with common variable immunodeficiency (CVID),immunological response is compromised. Knowledge about COVID‐19 in CVIDpatients is sparse. We, here, synthesize current research addressing the level ofthreat COVID‐19posestoCVIDpatientsandthebest‐known treatments.
Method:Review of 14 publications.
Results:The number of CVID patients with moderate to severe (~29%) andcritical infection courses (~10%), and the number of fatal cases (~13%), areincreased compared to the general picture of COVID‐19 infection. However,this might be an overestimate. Systematic cohort‐wide studies are lacking, andasymptomatic or mild cases among CVID patients occur that can easily remainunnoticed. Regular immunoglobulin replacement therapy was administered inalmost all patients, potentially explaining why the numbers of critical and fatalcases were not higher. In addition, the application of convalescent plasma wasdemonstrated to have positive effects.
Conclusions:COVID‐19 poses an elevated threat to CVID patients. However,only systematic studies can provide robust information on the extent of thisthreat. Regular immunoglobulin replacement therapy is beneficial to combatCOVID‐19 in CVID patients, and best treatment after infection includes theuse of convalescent plasma in addition to common medication.
Natural hazards are diverse and uneven in time and space, therefore, understanding its complexity is key to save human lives and conserve natural ecosystems. Reducing the outputs obtained after each modelling analysis is key to present the results for stakeholders, land managers and policymakers. So, the main goal of this survey was to present a method to synthesize three natural hazards in one multi-hazard map and its evaluation for hazard management and land use planning. To test this methodology, we took as study area the Gorganrood Watershed, located in the Golestan Province (Iran). First, an inventory map of three different types of hazards including flood, landslides, and gullies was prepared using field surveys and different official reports. To generate the susceptibility maps, a total of 17 geo-environmental factors were selected as predictors using the MaxEnt (Maximum Entropy) machine learning technique. The accuracy of the predictive models was evaluated by drawing receiver operating characteristic-ROC curves and calculating the area under the ROC curve-AUCROC. The MaxEnt model not only implemented superbly in the degree of fitting, but also obtained significant results in predictive performance. Variables importance of the three studied types of hazards showed that river density, distance from streams, and elevation were the most important factors for flood, respectively. Lithological units, elevation, and annual mean rainfall were relevant for detecting landslides. On the other hand, annual mean rainfall, elevation, and lithological units were used for gully erosion mapping in this study area. Finally, by combining the flood, landslides, and gully erosion susceptibility maps, an integrated multi-hazard map was created. The results demonstrated that 60% of the area is subjected to hazards, reaching a proportion of landslides up to 21.2% in the whole territory. We conclude that using this type of multi-hazard map may be a useful tool for local administrators to identify areas susceptible to hazards at large scales as we demonstrated in this research.
With the ongoing trend towards deep learning in the remote sensing community, classical pixel based algorithms are often outperformed by convolution based image segmentation algorithms. This performance was mostly validated spatially, by splitting training and validation pixels for a given year. Though generalizing models temporally is potentially more difficult, it has been a recent trend to transfer models from one year to another, and therefore to validate temporally. The study argues that it is always important to check both, in order to generate models that are useful beyond the scope of the training data. It shows that convolutional neural networks have potential to generalize better than pixel based models, since they do not rely on phenological development alone, but can also consider object geometry and texture. The UNET classifier was able to achieve the highest F1 scores, averaging 0.61 in temporal validation samples, and 0.77 in spatial validation samples. The theoretical potential for overfitting geometry and just memorizing the shape of fields that are maize has been shown to be insignificant in practical applications. In conclusion, kernel based convolutions can offer a large contribution in making agricultural classification models more transferable, both to other regions and to other years.
Energy transition strategies in Germany have led to an expansion of energy crop cultivation in landscape, with silage maize as most valuable feedstock. The changes in the traditional cropping systems, with increasing shares of maize, raised concerns about the sustainability of agricultural feedstock production regarding threats to soil health. However, spatially explicit data about silage maize cultivation are missing; thus, implications for soil cannot be estimated in a precise way. With this study, we firstly aimed to track the fields cultivated with maize based on remote sensing data. Secondly, available soil data were target-specifically processed to determine the site-specific vulnerability of the soils for erosion and compaction. The generated, spatially-explicit data served as basis for a differentiated analysis of the development of the agricultural biogas sector, associated maize cultivation and its implications for soil health. In the study area, located in a low mountain range region in Western Germany, the number and capacity of biogas producing units increased by 25 installations and 10,163 kW from 2009 to 2016. The remote sensing-based classification approach showed that the maize cultivation area was expanded by 16% from 7305 to 8447 hectares. Thus, maize cultivation accounted for about 20% of the arable land use; however, with distinct local differences. Significant shares of about 30% of the maize cultivation was done on fields that show at least high potentials for soil erosion exceeding 25 t soil ha−1 a−1. Furthermore, about 10% of the maize cultivation was done on fields that pedogenetically show an elevated risk for soil compaction. In order to reach more sustainable cultivation systems of feedstock for anaerobic digestion, changes in cultivated crops and management strategies are urgently required, particularly against first signs of climate change. The presented approach can regionally be modified in order to develop site-adapted, sustainable bioenergy cropping systems.
The parameterization of ocean/sea-ice/atmosphere interaction processes is a challenge for regional climate models (RCMs) of the Arctic, particularly for wintertime conditions, when small fractions of thin ice or open water cause strong modifications of the boundary layer. Thus, the treatment of sea ice and sub-grid flux parameterizations in RCMs is of crucial importance. However, verification data sets over sea ice for wintertime conditions are rare. In the present paper, data of the ship-based experiment Transarktika 2019 during the end of the Arctic winter for thick one-year ice conditions are presented. The data are used for the verification of the regional climate model COSMO-CLM (CCLM). In addition, Moderate Resolution Imaging Spectroradiometer (MODIS) data are used for the comparison of ice surface temperature (IST) simulations of the CCLM sea ice model. CCLM is used in a forecast mode (nested in ERA5) for the Norwegian and Barents Seas with 5 km resolution and is run with different configurations of the sea ice model and sub-grid flux parameterizations. The use of a new set of parameterizations yields improved results for the comparisons with in-situ data. Comparisons with MODIS IST allow for a verification over large areas and show also a good performance of CCLM. The comparison with twice-daily radiosonde ascents during Transarktika 2019, hourly microwave water vapor measurements of first 5 km in the atmosphere and hourly temperature profiler data show a very good representation of the temperature, humidity and wind structure of the whole troposphere for CCLM.
Laboratory landslide experiments enable the observation of specific properties of these natural hazards. However, these observations are limited by traditional techniques: frequently used high-speed video analysis and wired sensors (e.g. displacement). These techniques lead to the drawback that either only the surface and 2D profiles can be observed or wires confine the motion behaviour. In contrast, an unconfined observation of the total spatiotemporal dynamics of landslides is needed for an adequate understanding of these natural hazards.
The present study introduces an autonomous and wireless probe to characterize motion features of single clasts within laboratory-scale landslides. The Smartstone probe is based on an inertial measurement unit (IMU) and records acceleration and rotation at a sampling rate of 100 Hz. The recording ranges are ±16 g (accelerometer) and ±2000∘ s−1 (gyroscope). The plastic tube housing is 55 mm long with a diameter of 10 mm. The probe is controlled, and data are read out via active radio frequency identification (active RFID) technology. Due to this technique, the probe works under low-power conditions, enabling the use of small button cell batteries and minimizing its size.
Using the Smartstone probe, the motion of single clasts (gravel size, median particle diameter d50 of 42 mm) within approx. 520 kg of a uniformly graded pebble material was observed in a laboratory experiment. Single pebbles were equipped with probes and placed embedded and superficially in or on the material. In a first analysis step, the data of one pebble are interpreted qualitatively, allowing for the determination of different transport modes, such as translation, rotation and saltation. In a second step, the motion is quantified by means of derived movement characteristics: the analysed pebble moves mainly in the vertical direction during the first motion phase with a maximal vertical velocity of approx. 1.7 m s−1. A strong acceleration peak of approx. 36 m s−2 is interpreted as a pronounced hit and leads to a complex rotational-motion pattern. In a third step, displacement is derived and amounts to approx. 1.0 m in the vertical direction. The deviation compared to laser distance measurements was approx. −10 %. Furthermore, a full 3D spatiotemporal trajectory of the pebble is reconstructed and visualized supporting the interpretations. Finally, it is demonstrated that multiple pebbles can be analysed simultaneously within one experiment. Compared to other observation methods Smartstone probes allow for the quantification of internal movement characteristics and, consequently, a motion sampling in landslide experiments.
The study analyzes the long-term trends (1998–2019) of concentrations of the air pollutants ozone (O3) and nitrogen oxides (NOx) as well as meteorological conditions at forest sites in German midrange mountains to evaluate changes in O3 uptake conditions for trees over time at a plot scale. O3 concentrations did not show significant trends over the course of 22 years, unlike NO2 and NO, whose concentrations decreased significantly since the end of the 1990s. Temporal analyses of meteorological parameters found increasing global radiation at all sites and decreasing precipitation, vapor pressure deficit (VPD), and wind speed at most sites (temperature did not show any trend). A principal component analysis revealed strong correlations between O3 concentrations and global radiation, VPD, and temperature. Examination of the atmospheric water balance, a key parameter for O3 uptake, identified some unusually hot and dry years (2003, 2011, 2018, and 2019). With the help of a soil water model, periods of plant water stress were detected. These periods were often in synchrony with periods of elevated daytime O3 concentrations and usually occurred in mid and late summer, but occasionally also in spring and early summer. This suggests that drought protects forests against O3 uptake and that, in humid years with moderate O3 concentrations, the O3 flux was higher than in dry years with higher O3 concentrations.
Although gravitropism forces trees to grow vertically, stems have shown to prefer specific orientations. Apart from wind deforming the tree shape, lateral light can result in prevailing inclination directions. In recent years a species dependent interaction between gravitropism and phototropism, resulting in trunks leaning down-slope, has been confirmed, but a terrestrial investigation of such factors is limited to small scale surveys. ALS offers the opportunity to investigate trees remotely. This study shall clarify whether ALS detected tree trunks can be used to identify prevailing trunk inclinations. In particular, the effect of topography, wind, soil properties and scan direction are investigated empirically using linear regression models. 299.000 significantly inclined stems were investigated. Species-specific prevailing trunk orientations could be observed. About 58% of the inclination and 19% of the orientation could be explained by the linear models, while the tree species, tree height, aspect and slope could be identified as significant factors. The models indicate that deciduous trees tend to lean down-slope, while conifers tend to lean leeward. This study has shown that ALS is suitable to investigate the trunk orientation on larger scales. It provides empirical evidence for the effect of phototropism and wind on the trunk orientation.
Soil degradation due to erosion is a significant worldwide problem at different spatial (from pedon to watershed) and temporal scales. All stages and factors in the erosion process must be detected and evaluated to reduce this environmental issue and protect existing fertile soils and natural ecosystems. Laboratory studies using rainfall simulators allow single factors and interactive effects to be investigated under controlled conditions during extreme rainfall events. In this study, three main factors (rainfall intensity, inclination, and rainfall duration) were assessed to obtain empirical data for modeling water erosion during single rainfall events. Each factor was divided into three levels (− 1, 0, + 1), which were applied in different combinations using a rainfall simulator on beds (6 × 1 m) filled with soil from a study plot located in the arid Sistan region, Iran. The rainfall duration levels tested were 3, 5, and 7 min, the rainfall intensity levels were 30, 60, and 90 mm/h, and the inclination levels were 5, 15, and 25%. The results showed that the highest rainfall intensity tested (90 mm/h) for the longest duration (7 min) caused the highest runoff (62 mm3/s) and soil loss (1580 g/m2/h). Based on the empirical results, a quadratic function was the best mathematical model (R2 = 0.90) for predicting runoff (Q) and soil loss. Single-factor analysis revealed that rainfall intensity was more influential for runoff production than changes in time and inclination, while rainfall duration was the most influential single factor for soil loss. Modeling and three-dimensional depictions of the data revealed that sediment production was high and runoff production lower at the beginning of the experiment, but this trend was reversed over time as the soil became saturated. These results indicate that avoiding the initial stage of erosion is critical, so all soil protection measures should be taken to reduce the impact at this stage. The final stages of erosion appeared too complicated to be modeled, because different factors showed differing effects on erosion.
Up-to-date information about the type and spatial distribution of forests is an essential element in both sustainable forest management and environmental monitoring and modelling. The OpenStreetMap (OSM) database contains vast amounts of spatial information on natural features, including forests (landuse=forest). The OSM data model includes describing tags for its contents, i.e., leaf type for forest areas (i.e., leaf_type=broadleaved). Although the leaf type tag is common, the vast majority of forest areas are tagged with the leaf type mixed, amounting to a total area of 87% of landuse=forests from the OSM database. These areas comprise an important information source to derive and update forest type maps. In order to leverage this information content, a methodology for stratification of leaf types inside these areas has been developed using image segmentation on aerial imagery and subsequent classification of leaf types. The presented methodology achieves an overall classification accuracy of 85% for the leaf types needleleaved and broadleaved in the selected forest areas. The resulting stratification demonstrates that through approaches, such as that presented, the derivation of forest type maps from OSM would be feasible with an extended and improved methodology. It also suggests an improved methodology might be able to provide updates of leaf type to the OSM database with contributor participation.
Climate change is expected to cause mountain species to shift their ranges to higher elevations. Due to the decreasing amounts of habitats with increasing elevation, such shifts are likely to increase their extinction risk. Heterogeneous mountain topography, however, may reduce this risk by providing microclimatic conditions that can buffer macroclimatic warming or provide nearby refugia. As aspect strongly influences the local microclimate, we here assess whether shifts from warm south-exposed aspects to cool north-exposed aspects in response to climate change can compensate for an upward shift into cooler elevations.
The presence of sea ice leads in the sea ice cover represents a key feature in polar regions by controlling the heat exchange between the relatively warm ocean and cold atmosphere due to increased fluxes of turbulent sensible and latent heat. Sea ice leads contribute to the sea ice production and are sources for the formation of dense water which affects the ocean circulation. Atmospheric and ocean models strongly rely on observational data to describe the respective state of the sea ice since numerical models are not able to produce sea ice leads explicitly. For the Arctic, some lead datasets are available, but for the Antarctic, no such data yet exist. Our study presents a new algorithm with which leads are automatically identified in satellite thermal infrared images. A variety of lead metrics is used to distinguish between true leads and detection artefacts with the use of fuzzy logic. We evaluate the outputs and provide pixel-wise uncertainties. Our data yield daily sea ice lead maps at a resolution of 1 km2 for the winter months November– April 2002/03–2018/19 (Arctic) and April–September 2003–2019 (Antarctic), respectively. The long-term average of the lead frequency distributions show distinct features related to bathymetric structures in both hemispheres.
The parameterization of the boundary layer is a challenge for regional climate models of the Arctic. In particular, the stable boundary layer (SBL) over Greenland, being the main driver for substantial katabatic winds over the slopes, is simulated differently by different regional climate models or using different parameterizations of the same model. However, verification data sets with high-resolution profiles of the katabatic wind are rare. In the present paper, detailed aircraft measurements of profiles in the katabatic wind and automatic weather station data during the experiment KABEG (Katabatic wind and boundary-layer front experiment around Greenland) in April and May 1997 are used for the verification of the regional climate model COSMO-CLM (CCLM) nested in ERA-Interim reanalyses. CCLM is used in a forecast mode for the whole Arctic with 15 km resolution and is run in the standard configuration of SBL parameterization and with modified SBL parameterization. In the modified version, turbulent kinetic energy (TKE) production and the transfer coefficients for turbulent fluxes in the SBL are reduced, leading to higher stability of the SBL. This leads to a more realistic representation of the daily temperature cycle and of the SBL structure in terms of temperature and wind profiles for the lowest 200 m.
Roof and wall slates are fine-grained rocks with slaty cleavage, and it is often difficult to determine their mineral composition. A new norm mineral calculation called slatecalculation allows the determination of a virtual mineral composition based on full chemical analysis, including the amounts of carbon dioxide (CO2), carbon (C), and sulfur (S). Derived norm minerals include feldspars, carbonates, micas, hydro-micas, chlorites, ore-minerals, and quartz. The mineral components of the slate are assessed with superior accuracy compared to the petrographic analysis based on the European Standard EN 12326. The inevitable methodical inaccuracies in the calculations are limited and transparent. In the present paper, slates, shales, and phyllites from worldwide occurrences were examined. This also gives an overview of the rocks used for discontinuous roofing and external cladding.
Der vorliegende Bericht gibt einen Überblick zu den wichtigsten Faktoren, welche durch ihre Interaktionen die Vulnerabilität des Weinbaus an der Mittelmosel vor dem Hintergrund des Klimawandels bestimmen. Hierbei steht die im Projekt Mosel-AdapTiV kooperierende Kommune Traben-Trarbach exemplarisch für eine Vielzahl von Weinbauorten im Untersuchungsgebiet. Neben den direkten klimawandelinduzierten Auswirkungen im Weinbau wird ein besonderer Fokus auf den regionalspezifischen Kontext der Mittelmosel gelegt. Die sich aus dieser Betrachtung ergebenden sozioökonomischen, politisch-administrativen und kulturellen Faktoren der „kontextuellen Vulnerabilität“ werden identifiziert und hinsichtlich ihrer Wirkung auf Problembewusstsein, regionale Anpassungskapazitäten und konkretes Anpassungshandeln bewertet.
Die vorliegende Analyse kontextueller Vulnerabilität des Weinbausektors an der Mittelmosel zeigt, dass trotz eines ausgeprägten Problembewusstseins gegenüber Klimawandelfolgen eine Vielzahl regionalspezifischer Faktoren die Anpassungskapazitäten der Akteur*innen begrenzen. Als konkrete Faktoren sind die traditionellen Betriebsformen vor dem Hintergrund des fortschreitenden Strukturwandels, eine stetige Erweiterung des Aufgabenspektrums der Winzer*innen, die Abhängigkeit von Riesling als regionale Leitsorte sowie die fehlende finanzielle Ausstattung der Kommunen, die Möglichkeiten für eine transformative Anpassungspolitik eingrenzen zu nennen. Aus dem Zusammenspiel dieser unterschiedlichen Faktoren ergeben sich nur gering ausgeprägte kommunale und lokale Anpassungskapazitäten.
Empirisch basiert der Bericht auf einer Auswertung relevanter Literatur, verschiedener Datenquellen sowie mehreren qualitativen Interviews mit Akteur*innen vor Ort. Ebenfalls baut er auf den Ergebnissen eines Lehrforschungsprojekts der Universität Trier aus den Jahren 2016/17 auf (Bruns, 2020).
Im Rahmen eines Lehrforschungsprojekts setzten sich Studierende der Angewandten Geographie an der Universität Trier über zwei Semester in den Jahren 2016 und 2017 mit der Anpassung an den Klimawandel im Weinbau auseinander. Ziel des Lehrforschungsprojektes war es, besser zu verstehen wie Winzer*innen den Klimawandel wahrnehmen, welche Rolle der Klimawandel in (betrieblichen) Entscheidungen spielt und welche Anpassungspraktiken bereits beobachtbar sind.Der vorliegende Bericht fasst einige Ergebnisse der empirischen Untersuchung knapp zusammen.
Phylogeographic analyses point to long-term survival on the spot in micro-endemic Lycian salamanders
(2020)
Lycian salamanders (genus Lyciasalamandra) constitute an exceptional case of microendemism of an amphibian species on the Asian Minor mainland. These viviparous salamanders are confined to karstic limestone formations along the southern Anatolian coast and some islands. We here study the genetic differentiation within and among 118 populations of all seven Lyciasalamandra species across the entire genus’ distribution. Based on circa 900 base pairs of fragments of the mitochondrial 16SrDNA and ATPase genes, we analysed the spatial haplotype distribution as well as the genetic structure and demographic history of populations. We used 253 geo-referenced populations and CHELSA climate data to infer species distribution models which we projected on climatic conditions of the Last Glacial Maximum (LGM). Within all but one species, distinct phyloclades were identified, which only in parts matched current taxonomy. Most haplotypes (78%) were private to single populations. Sometimes population genetic parameters showed contradicting results, although in several cases they indicated recent population expansion of phyloclades. Climatic suitability of localities currently inhabited by salamanders was significantly lower during the LGM compared to recent climate. All data indicated a strong degree of isolation among Lyciasalamandra populations, even within phyloclades. Given the sometimes high degree of haplotype differentiation between adjacent populations, they must have survived periods of deteriorated climates during the Quaternary on the spot. However, the alternative explanation of male biased dispersal combined with a pronounced female philopatry can only be excluded if independent nuclear data confirm this result.
For grape canopy pixels captured by an unmanned aerial vehicle (UAV) tilt-mounted RedEdge-M multispectral sensor in a sloped vineyard, an in situ Walthall model can be established with purely image-based methods. This was derived from RedEdge-M directional reflectance and a vineyard 3D surface model generated from the same imagery. The model was used to correct the angular effects in the reflectance images to form normalized difference vegetation index (NDVI)orthomosaics of different view angles. The results showed that the effect could be corrected to a certain scope, but not completely. There are three drawbacks that might restrict a successful angular model construction and correction: (1) the observable micro shadow variation on the canopy enabled by the high resolution; (2) the complexity of vine canopies that causes an inconsistency between reflectance and canopy geometry, including effects such as micro shadows and near-infrared (NIR) additive effects; and (3) the resolution limit of a 3D model to represent the accurate real-world optical geometry. The conclusion is that grape canopies might be too inhomogeneous for the tested method to perform the angular correction in high quality.
In order to discuss potential sustainability issues of expanding silage maize cultivation in Rhineland-Palatinate, spatially explicit monitoring is necessary. Publicly available statistical records are often not a sufficient basis for extensive research, especially on soil health, where risk factors like erosion and compaction depend on variables that are specific to every site, and hard to generalize for larger administrative aggregates. The focus of this study is to apply established classification algorithms to estimate maize abundance for each independent pixel, while at the same time accounting for their spatial relationship. Therefore, two ways to incorporate spatial autocorrelation of neighboring pixels are combined with three different classification models. The performance of each of these modeling approaches is analyzed and discussed. Finally, one prediction approach is applied to the imagery, and the overall predicted acreage is compared to publicly available data. We were able to show that Support Vector Machine (SVM) classification and Random Forests (RF) were able to distinguish maize pixels reliably, with kappa values well above 0.9 in most cases. The Generalized Linear Model (GLM) performed substantially worse. Furthermore, Regression Kriging (RK) as an approach to integrate spatial autocorrelation into the prediction model is not suitable in use cases with millions of sparsely clustered training pixels. Gaussian Blur is able to improve predictions slightly in these cases, but it is possible that this is only because it smoothes out impurities of the reference data. The overall prediction with RF classification combined with Gaussian Blur performed well, with out of bag error rates of 0.5% in 2009 and 1.3% in 2016. Despite the low error rates, there is a discrepancy between the predicted acreage and the official records, which is 20% in 2009 and 27% in 2016.
Harvesting of silage maize in late autumn on waterlogged soils may result in several ecological problems such as soil compaction and may subsequently be a major threat to soil fertility in Europe. It was hypothesized that perennial energy crops might reduce the vulnerability for soil compaction through earlier harvest dates and improved soil stability. However, the performance of such crops to be grown on soil that are periodically waterlogged and implications for soil chemical and microbial properties are currently an open issue. Within the framework of a two-year pot experiment we investigated the potential of the cup plant (Silphium perfoliatum L.), Jerusalem artichoke (Helianthus tuberosus), giant knotweed (Fallopia japonicum X bohemica), tall wheatgrass (Agropyron elongatum), and reed canary grass (Phalaris arundinacea) for cultivation under periodically waterlogged soil conditions during the winter half year and implications for soil chemical and biological properties. Examined perennial energy crops coped with periodical waterlogging and showed yields 50% to 150% higher than in the control which was never faced with waterlogging. Root formation was similar in waterlogged and non-waterlogged soil layers. Soil chemical and microbial properties clearly responded to different soil moisture treatments. For example, dehydrogenase activity was two to four times higher in the periodically waterlogged treatment compared to the control. Despite waterlogging, aerobic microbial activity was significantly elevated indicating morphological and metabolic adaptation of the perennial crops to withstand waterlogged conditions. Thus, our results reveal first evidence of a site-adapted biomass production on periodical waterlogged soils through the cultivation of perennial energy crops and for intense plant microbe interactions.
A satellite-based climatology of wind-induced surface temperature anomalies for the Antarctic
(2019)
It is well-known that katabatic winds can be detected as warm signatures in the surface temperature over the slopes of the Antarctic ice sheets. For appropriate synoptic forcing and/or topographic channeling, katabatic surges occur, which result in warm signatures also over adjacent ice shelves. Moderate Resolution Imaging Spectroradiometer (MODIS) ice surface temperature (IST) data are used to detect warm signatures over the Antarctic for the winter periods 2002–2017. In addition, high-resolution (5 km) regional climate model data is used for the years of 2002 to 2016. We present a case study and a climatology of wind-induced IST anomalies for the Ross Ice Shelf and the eastern Weddell Sea. The IST anomaly distributions show maxima around 10–15K for the slopes, but values of more than 25K are also found. Katabatic surges represent a strong climatological signal with a mean warm anomaly of more than 5K on more than 120 days per winter for the Byrd Glacier and the Nimrod Glacier on the Ross Ice Shelf. The mean anomaly for the Brunt Ice Shelf is weaker, and exceeds 5K on about 70 days per winter. Model simulations of the IST are compared to the MODIS IST, and show a very good agreement. The model data show that the near-surface stability is a better measure for the response to the wind than the IST itself.
Abstract: Thermal infrared (TIR) multi-/hyperspectral and sun-induced fluorescence (SIF) approaches together with classic solar-reflective (visible, near-, and shortwave infrared reflectance (VNIR)/SWIR) hyperspectral remote sensing form the latest state-of-the-art techniques for the detection of crop water stress. Each of these three domains requires dedicated sensor technology currently in place for ground and airborne applications and either have satellite concepts under development (e.g., HySPIRI/SBG (Surface Biology and Geology), Sentinel-8, HiTeSEM in the TIR) or are subject to satellite missions recently launched or scheduled within the next years (i.e., EnMAP and PRISMA (PRecursore IperSpettrale della Missione Applicativa, launched on March 2019) in the VNIR/SWIR, Fluorescence Explorer (FLEX) in the SIF). Identification of plant water stress or drought is of utmost importance to guarantee global water and food supply. Therefore, knowledge of crop water status over large farmland areas bears large potential for optimizing agricultural water use. As plant responses to water stress are numerous and complex, their physiological consequences affect the electromagnetic signal in different spectral domains. This review paper summarizes the importance of water stress-related applications and the plant responses to water stress, followed by a concise review of water-stress detection through remote sensing, focusing on TIR without neglecting the comparison to other spectral domains (i.e., VNIR/SWIR and SIF) and multi-sensor approaches. Current and planned sensors at ground, airborne, and satellite level for the TIR as well as a selection of commonly used indices and approaches for water-stress detection using the main multi-/hyperspectral remote sensing imaging techniques are reviewed. Several important challenges are discussed that occur when using spectral emissivity, temperature-based indices, and physically-based approaches for water-stress detection in the TIR spectral domain. Furthermore, challenges with data processing and the perspectives for future satellite missions in the TIR are critically examined. In conclusion, information from multi-/hyperspectral TIR together with those from VNIR/SWIR and SIF sensors within a multi-sensor approach can provide profound insights to actual plant (water) status and the rationale of physiological and biochemical changes. Synergistic sensor use will open new avenues for scientists to study plant functioning and the response to environmental stress in a wide range of ecosystems.
Background
In light of the current biodiversity crisis, DNA barcoding is developing into an essential tool to quantify state shifts in global ecosystems. Current barcoding protocols often rely on short amplicon sequences, which yield accurate identification of biological entities in a community but provide limited phylogenetic resolution across broad taxonomic scales. However, the phylogenetic structure of communities is an essential component of biodiversity. Consequently, a barcoding approach is required that unites robust taxonomic assignment power and high phylogenetic utility. A possible solution is offered by sequencing long ribosomal DNA (rDNA) amplicons on the MinION platform (Oxford Nanopore Technologies).
Findings
Using a dataset of various animal and plant species, with a focus on arthropods, we assemble a pipeline for long rDNA barcode analysis and introduce a new software (MiniBar) to demultiplex dual indexed Nanopore reads. We find excellent phylogenetic and taxonomic resolution offered by long rDNA sequences across broad taxonomic scales. We highlight the simplicity of our approach by field barcoding with a miniaturized, mobile laboratory in a remote rainforest. We also test the utility of long rDNA amplicons for analysis of community diversity through metabarcoding and find that they recover highly skewed diversity estimates.
Conclusions
Sequencing dual indexed, long rDNA amplicons on the MinION platform is a straightforward, cost-effective, portable, and universal approach for eukaryote DNA barcoding. Although bulk community analyses using long-amplicon approaches may introduce biases, the long rDNA amplicons approach signifies a powerful tool for enabling the accurate recovery of taxonomic and phylogenetic diversity across biological communities.
The trophic niche is a life trait that identifies the consumer’s position in a local food web. Several factors, such as ontogeny, competitive ability and resource availability contribute in shaping species trophic niches. To date, information on the diet of European Hydromantes salamanders are only available for a limited number of species, no dietary studies have involved more than one species of the genus at a time, and there are limited evidences on how multiple factors interact in determining diet variation. In this study we examined the diet of multiple populations of six out of the eight European cave salamanders, providing the first data on the diet for five of them. In addition, we assessed whether these closely related generalist species show similar diet and, for each species, we tested whether season, age class or sex influence the number and the type of prey consumed. Stomach condition (empty/full) and the number of prey consumed were strongly related to seasonality and to the activity level of individuals. Empty stomachs were more frequent in autumn, in individuals far from cave entrance and in juveniles. Diet composition was significantly different among species. Hydromantes imperialis and H. supramontis were the most generalist species; H. flavus and H. sarrabusensis fed mostly on Hymenoptera and Coleoptera Staphylinidae, while H. genei and H. ambrosii mostly consumed Arachnida and Endopterygota larvae. Furthermore, we detected seasonal shifts of diet in the majority of the species examined. Conversely, within each species, we did not find diet differences between females, males and juveniles. Although being assumed to have very similar dietary habits, here Hydromantes species were shown to be characterized by a high divergence in diet composition and in the stomach condition of individuals.
In the context of accelerated global socio-environmental change, the Water-Energy-Food Nexus has received increasing attention within science and international politics by promoting integrated resource governance. This study explores the scientific nexus debates from a discourse analytical perspective to reveal knowledge and power relations as well as geographical settings of nexus research. We also investigate approaches to socio-nature relations that influence nexus research and subsequent political implications. Our findings suggest that the leading nexus discourse is dominated by natural scientific perspectives and a neo-Malthusian framing of environmental challenges. Accordingly, the promoted cross-sectoral nexus approach to resource governance emphasizes efficiency, security, future sustainability, and poverty reduction. Water, energy, and food are conceived as global trade goods that require close monitoring, management and control, to be achieved via quantitative assessments and technological interventions. Within the less visible discourse, social scientific perspectives engage with the social, political, and normative elements of the Water-Energy-Food Nexus. These perspectives criticize the dominant nexus representation for itsmanagerial, neoliberal, and utilitarian approach to resource governance. The managerial framing is critiqued for masking power relations and social inequalities, while alternative framings acknowledge the political nature of resource governance and socio-nature relations. The spatial dimensions of the nexus debate are also discussed. Notably, the nexus is largely shaped by western knowledge, yet applied mainly in specific regions of the Global South. In order for the nexus to achieve integrative solutions for sustainability, the debate needs to overcome its current discursive and spatial separations. To this end, we need to engage more closely with alternative nexus discourses, embrace epistemic pluralism and encourage multi-perspective debates about the socio-nature relations we actually intend to promote.
Background: The growing production and use of engineered AgNP in industry and private households make increasing concentrations of AgNP in the environment unavoidable. Although we already know the harmful effects of AgNP on pivotal bacterial driven soil functions, information about the impact of silver nanoparticles (AgNP) on the soil bacterial community structure is rare. Hence, the aim of this study was to reveal the long-term effects of AgNP on major soil bacterial phyla in a loamy soil. The study was conducted as a laboratory incubation experiment over a period of 1 year using a loamy soil and AgNP concentrations ranging from 0.01 to 1 mg AgNP/kg soil. Effects were quantified using the taxon-specific 16S rRNA qPCR.
Results: The short-term exposure of AgNP at environmentally relevant concentration of 0.01 mg AgNP/kg caused significant positive effects on Acidobacteria (44.0%), Actinobacteria (21.1%) and Bacteroidetes (14.6%), whereas beta-Proteobacteria population was minimized by 14.2% relative to the control (p ≤ 0.05). After 1 year of exposure to 0.01 mg AgNP/kg diminished Acidobacteria (p = 0.007), Bacteroidetes (p = 0.005) and beta-Proteobacteria (p = 0.000) by 14.5, 10.1 and 13.9%, respectively. Actino- and alpha-Proteobacteria were statistically unaffected by AgNP treatments after 1-year exposure. Furthermore, a statistically significant regression and correlation analysis between silver toxicity and exposure time confirmed loamy soils as a sink for silver nanoparticles and their concomitant silver ions.
Conclusions: Even very low concentrations of AgNP may cause disadvantages for the autotrophic ammonia oxidation (nitrification), the organic carbon transformation and the chitin degradation in soils by exerting harmful effects on the liable bacterial phyla.
This thesis is focused on improving the knowledge on a group of threatened species, the European cave salamanders (genus Hydromantes). There are three main sections gathering studies dealing with different topics: Ecology (first part), Life traits (second part) and Monitoring methodologies (third part). First part starts with the study of the response of Hydromantes to the variation of climatic conditions, analysing 15 different localities throughout a full year (CHAPTER I; published in PEERJ in August 2015). After that, the focus moves on identify which is the operative temperature that these salamander experience, including how their body respond to variation of environmental temperature. This study was conducted using one of the most advanced tool, an infrared thermocamera, which gave the opportunity to perform detailed observation on salamanders body (CHAPTER II; published in JOURNAL OF THERMAL BIOLOGY in June 2016). In the next chapter we use the previous results to analyse the ecological niche of all eight Hydromantes species. The study mostly underlines the mismatch between macro- and microscale analysis of ecological niche, showing a weak conservatism of ecological niches within the evolution of species (CHAPTER III; unpublished manuscript). We then focus only on hybrids, which occur within the natural distribution of mainland species. Here, we analyse if the ecological niche of hybrids shows divergences from those of parental species, thus evaluating the power of hybrids adaptation (CHAPTER IV; unpublished manuscript). Considering that hybrids may represent a potential threat for parental species (in terms of genetic erosion and competition), we produced the first ecological study on an allochthonous mixed population of Hydromantes, analysing population structure, ecological requirements and diet. The interest on this particular population mostly comes by the fact that its members are coming from all three mainland Hydromantes species, and thus it may represent a potential source of new hybrids (CHAPTER V; accepted in AMPHIBIA-REPTILIA in October 2017). The focus than moves on how bioclimatic parameters affect species within their distributional range. Using as model species the microendemic H. flavus, we analyse the relationship between environmental suitability and local abundance of the species, also focusing on all intermediate dynamics which provide useful information on spatial variation of individual fitness (CHAPTER VI; submitted to SCIENTIFIC REPORTS in November 2017). The first part ends with an analysis of the interaction between Hydromantes and Batracobdella algira leeches, the only known ectoparasite for European cave salamanders. Considering that the effect of leeches on their hosts is potentially detrimental, we investigated if these ectoparasites may represent a further threat for Hydromantes (CHAPTER VII; submitted to INTERNATIONAL JOURNAL FOR PARASITOLOGY: PARASITES AND WILDLIFE in November 2017). The second part is related to the reproduction of Hydromantes. In the first study we perform analyses on the breeding behaviour of several females belonging to a single population, identifying differences and similarities occurring in cohorting females (CHAPTER VIII; published in NORTH-WESTERN JOURNAL OF ZOOLOGY in December 2015). In the second study we gather information from all Hydromantes species, analysing size and development of breeding females, and identifying a relationship between breeding time and climatic conditions (CHAPTER IX; submitted to SALAMANDRA in June 2017). In the last part of this thesis, we analyse two potential methods for monitoring Hydromantes populations. In the first study we evaluate the efficiency of the marking method involving Alpha tags (CHAPTER X; published in SALAMANDRA in October 2017). In the second study we focus on evaluating N-mixtures models as a methodology for estimating abundance in wild populations (CHAPTER XI; submitted to BIODIVERSITY & CONSERVATION in October 2017).
Production of biomass feedstock for methanation in Europe has focused on silages of maize and cereals. As ecological awareness has increased in the last several years, more attention is being focused on perennial energy crops (PECs). Studies of specific PECs have shown that their cultivation may enhance agrobiodiversity and increase soil organic carbon stocks while simultaneously providing valuable feedstock for methanation. This study was designed to compare soil quality indicators under annual energy crops (AECs), PECs and permanent grassland (PGL) on the landscape level in south-western Germany. At a total 25 study sites, covering a wide range of parent materials, the cropping systems were found adjacent to each other. Stands were commercially managed, and PECs included different species such as the Cup Plant, Tall Wheatgrass, Giant Knotweed, Miscanthus, Virginia Mallow and Reed Canary Grass. Soil sampling was carried out for the upper 20 cm of soil. Several soil quality indicators, including soil organic carbon (Corg), soil microbial biomass (Cmic), and aggregate stability, showed that PECs were intermediate between AEC and PGL systems. At landscape level, mean Corg content for (on average) 6.1-year-old stands of PEC was 22.37 (±7.53) g kg1, compared to 19.23 (±8.08) and 32.08 (±10.11) for AEC and PGL. Cmic contents were higher in PECs (356 ± 241 lgCg1) compared to AECs (291 ± 145) but significantly lower than under PGL (753 ± 417). The aggregate stability increased by almost 65% in PECs compared to AEC but was still 57% lower than in PGL. Indicator differences among cropping systems were more pronounced when inherent differences in the parent material were accounted for in the comparisons. Overall, these results suggest that the cultivation of PECs has positive effects on soil quality indicators. Thus, PECs may offer potential to make the production of biomass feedstock more sustainable.
The availability of data on the feeding habits of species of conservation value may be of great importance to develop analyses for both scientific and management purposes. Stomach flushing is a harmless technique that allowed us to collect extensive data on the feeding habits of six Hydromantes species. Here, we present two datasets originating from a three-year study performed in multiple seasons (spring and autumn) on 19 different populations of cave salamanders. The first dataset contains data of the stomach content of 1,250 salamanders, where 6,010 items were recognized; the second one reports the size of the intact prey items found in the stomachs. These datasets integrate considerably data already available on the diet of the European plethodontid salamanders, being also of potential use for large scale meta-analyses on amphibian diet.
Leeches can parasitize many vertebrate taxa. In amphibians, leech parasitism often has potential detrimental effects including population decline. Most of studies on the host-parasite interactions involving leeches and amphibians focus on freshwater environments, while they are very scarce for terrestrial amphibians. In this work, we studied the relationship between the leech Batracobdella algira and the European terrestrial salamanders of the genus Hydromantes, identifying environmental features related to the presence of the leeches and their possible effects on the hosts. We performed observation throughout Sardinia (Italy), covering the distribution area of all Hydromantes species endemic to this island. From September 2015 to May 2017, we conducted >150 surveys in 26 underground environments, collecting data on 2629 salamanders and 131 leeches. Water hardness was the only environmental feature correlated with the presence of B. algira, linking this leech to active karstic systems. Leeches were more frequently parasitizing salamanders with large body size. Body Condition Index was not significantly different between parasitized and non-parasitized salamanders. Our study shows the importance of abiotic environmental features for host-parasite interactions, and poses new questions on complex interspecific interactions between this ectoparasite and amphibians.
Ziel der Dissertation ist es, den Hochwasserschutz und das Management extremer Hoch-wasser für das Einzugsgebiet der Isar zu verbessern mit Hinblick darauf, wie sich vorhandene und neu zu schaffende Retentionsräume mit optimaler Wirkung für das gesamte Flusssystem einsetzen lassen. Dafür sind Kenntnisse über extreme Ereignisse und deren Auswirkung auf die betrachteten Einzugsgebiete notwendig. Großskalige Niederschläge in Mitteleuropa werden überwiegend durch Vb-artige Zugbahnen ausgelöst. Die Relevanz für Bayern zeigt die Auswertung des neuesten Kataloges der Vb-Zugbahnen für den Zeitraum 1959 bis 2015. In den Monaten April bis Oktober haben Vb-Zugbahnen zu ca. 30 % der beobachten Hochwasser beigetragen. Im Sommer führt sogar jedes zweite Vb-Tief zu Hochwasser. Im Donaueinzugsgebiet können 50 % der 20 größten Hochwasser direkt auf Vb-Zugbahnen zurückgeführt werden, weitere 25 % durch ähnliche Zugbahnen oder auf eine Vb aktiven Phase. Über die Hälfe der größten Hochwasser traten dabei in Bezug zu einer Serie von Vb-Tiefs auf. 60 % der Vb-Zugbahnen sind Teil einer Serie von Vb-Tiefs. Aus wiederkehrenden Niederschlägen persistenter Zugbahnen resultieren mehrgipflige Hochwasserwellen, die insbesondere für Rückhalteräume betrachtet werden müssen (DIN 19700). Die Detailuntersuchung erfolgt unter besonderer Beachtung der Untersuchungen zu den Vb-Zugbahnen. Das Isareinzugsgebiet mit 8900 km-² besitzt mit den Seen im Voralpenland große natürliche Retentionsräume und mit dem Sylvensteinspeicher im alpinen Einzugsgebiet den größten staatlichen Speicher Bayerns. Für die Wirkungsanalyse von gekoppelten Hoch-wasserrückhalteräumen in komplexen Einzugsgebieten müssen Ganglinien mit einem Nie-derschlag-Abfluss-Modell generiert werden, die den Wellenablauf des Hochwassers im ge-samten Einzugsgebiet repräsentieren. Die Dissertation analysiert, wie sich der Einsatz ver-schiedener Verfahren zur Vorgabe der Eingangsniederschläge auswirkt. Dabei liegt der Schwerpunkt der Untersuchung auf dem Niederschlagsverlauf. Es wird ein Verfahren zur Ableitung von Ganglinien aus standardisierten beobachteten Niederschlagsverläufen entwi-ckelt. Die Hochwasserganglinien, generiert aus synthetischen Niederschlagsverläufen der Bemessung, werden am Beispiel des Sylvensteinspeichers mit den drei größten abgelaufe-nen Hochwasserereignissen verglichen und diskutiert, ob mit dem neuen Verfahren die Cha-rakteristik der beobachten Hochwasser besser wiedergeben wird. Der Fokus liegt dabei auf der Wellenüberlagerung. Es kann für das ganze Gebiet gezeigt werden, dass die mit der neuen Methode standardisierten beobachteten Niederschlagsverläufe besser geeignet sind, die Wellenüberlagerung wiederzugeben, da zeitliche Unterschiede durch die Staueffekte an den Alpen berücksichtigt werden, wie sie bei Vb-Zugbahn geprägten Niederschlägen entste-hen. Es kann daher bei ähnlichen Fragestellungen empfohlen werden, diese Methode in der Praxis als Variante hinzuzuziehen, um die natürlichen Prozesse repräsentativer zu beschrei-ben. Für die Simulation mit dem N-A-Modell LARSIM werden die Unsicherheiten durch Varianten-rechnungen gezeigt. Es hat sich herausgestellt, dass nicht nur der Niederschlagsverlauf und die Vorbedingungen des Ereignisses eine große Auswirkung auf die Kalibrierung der Ab-flussbeiwerte im N-A-Modell haben, sondern auch das gewählte Flood-Routing-Verfahren und die Gerinnerauheit. Schließlich wird die Bewertung der potenziellen Standorte durchgeführt. Es wird berechnet, wo das Hochwasser zurückgehalten werden muss, um sowohl eine lokale Reduktion des Hochwasserscheitels, als auch gleichzeitig eine möglichst große Schutzwirkung für das Ge-samtsystem zu ermöglichen. Priorisiert werden Rückhaltestandorte, die praktisch umsetzbar sind und den größten Nutzen haben. Die Untersuchung einer Doppelwelle, die durch eine Serie von Vb-Zugbahnen entstehen kann, zeigt, wie die Einschätzung potenzieller Standorte verändern kann. Der alpine und zum Teil der voralpine Raum reagieren mit kurzen steilen Ganglinien und sind gegenüber Doppelwellen weniger sensitiv, weil kaum Wellenüberlagerung entsteht. Für den Sylvensteinspeicher, der im alpinen Raum liegt, können daher kurze Niederschlagspausen für eine schnelle Entlastung des Speicherraumes genutzt werden. Un-terhalb von Seen mit einem großen Retentionsvermögen erzeugen Doppelwellen aufgrund der langen Retentionsäste durch die Wellenüberlagerung deutlich höhere Abflüsse als Ein-zelwellen. Rückhalt an der oberen Isar ist unter diesen Kriterien am optimalsten. Empfohlene Maßnahmen - ohne Bauaufwand - konnten bereits umgesetzt werden und verbessern den Hochwasserschutz und das Hochwassermanagement an der Isar. Die Auswertungen zeigen, dass in den Monaten April, Mai, September und Oktober die Hochwasserereignisse in Folge von Vb-Zugbahnen im Zuge der Klimaveränderung häufiger und in den Sommermonaten extremer werden könnten.
Dry tropical forests are facing massive conversion and degradation processes and they are the most endangered forest type worldwide. One of the largest dry forest types are Miombo forests that stretch across the Southern African subcontinent and the proportionally largest part of this type can be found in Angola. The study site of this thesis is located in south-central Angola. The country still suffers from the consequences of the 27 years of civil war (1975-2002) that provides a unique socio-economic setting. The natural characteristics are a representative cross section which proved ideal to study underlying drivers as well as current and retrospective land use change dynamics. The major land change dynamic of the study area is the conversion of Miombo forests to cultivation areas as well as modification of forest areas, i.e. degradation, due to the extraction of natural resources. With future predictions of population growth, climate change and large scale investments, land pressure is expected to further increase. To fully understand the impacts of these dynamics, both, conversion and modification of forest areas were assessed. By using the conceptual framework of ecosystem services, the predominant trade-off between food and timber in the study area was analyzed, including retrospective dynamics and impacts. This approach accounts for products that contribute directly or indirectly to human well-being. For this purpose, data from the Landsat archive since 1989 until 2013 was applied in different study area adapted approaches. The objectives of these approaches were (I) to detect underlying drivers and their temporal and spatial extent of impact, (II) to describe modification and conversion processes that reach from times of armed conflicts over the ceasefire and the post-war period and (III) to provide an assessment of drivers and impacts in a comparative setting. It could be shown that major underlying drivers for the conversion processes are resettlement dynamics as well as the location and quality of streets and settlements. Furthermore, forests that are selectively used for resource extraction have a higher chance of being converted to a field. Drivers of forest degradation are on one hand also strongly connected to settlement and infrastructural structures. But also to a large extent to fire dynamics that occur mostly in more remote and presumably undisturbed forest areas. The loss of woody biomass as well as its slow recovery after the abandonment of fields could be quantified and stands in large contrast to the amount of potentially cultivated food that is necessarily needed. The results of the thesis support the fundamental understanding of drivers and impacts in the study area and can thus contribute to a sustainable resource management.
Water-deficit stress, usually shortened to water- or drought stress, is one of the most critical abiotic stressors limiting plant growth, crop yield and quality concerning food production. Today, agriculture consumes about 80-90% of the global freshwater used by humans and about two thirds are used for crop irrigation. An increasing world population and a predicted rise of 1.0-2.5-°C in the annual mean global temperature as a result of climate change will further increase the demand of water in agriculture. Therefore, one of the most challenging tasks of our generation is to reduce the amount water used per unit yield to satisfy the second UN Sustainable Development Goal and to ensure global food security. Precision agriculture offers new farming methods with the goal to improve the efficiency of crop production by a sustainable use of resources. Plant responses to water stress are complex and co-occur with other environmental stresses under natural conditions. In general, water stress causes plant physiological and biochemical changes that depend on the severity and the duration of the actual plant water deficit. Stomatal closure is one of the first responses to plant water stress causing a decrease in plant transpiration and thus an increase in plant temperature. Prolonged or severe water stress leads to irreversible damage to the photosynthetic machinery and is associated with decreasing chlorophyll content and leaf structural changes (e.g., leaf rolling). Since a crop can already be irreversibly damaged by only mild water deficit, a pre-visual detection of water stress symptoms is essential to avoid yield loss. Remote sensing offers a non-destructive and spatio-temporal method for measuring numerous physiological, biochemical and structural crop characteristics at different scales and thus is one of the key technologies used in precision agriculture. With respect to the detection of plant responses to water stress, the current state-of-the-art hyperspectral remote sensing imaging techniques are based on measurements of thermal infrared emission (TIR; 8-14 -µm), visible, near- and shortwave infrared reflectance (VNIR/SWIR; 0.4-2.5 -µm), and sun-induced fluorescence (SIF; 0.69 and 0.76 -µm). It is, however, still unclear how sensitive these techniques are with respect to water stress detection. Therefore, the overall aim of this dissertation was to provide a comparative assessment of remotely sensed measures from the TIR, SIF, and VNIR/SWIR domains for their ability to detect plant responses to water stress at ground- and airborne level. The main findings of this thesis are: (i) temperature-based indices (e.g., CWSI) were most sensitive for the detection of plant water stress in comparison to reflectance-based VNIR/SWIR indices (e.g., PRI) and SIF at both, ground- and airborne level, (ii) for the first time, spectral emissivity as measured by the new hyperspectral TIR instrument could be used to detect plant water stress at ground level. Based on these findings it can be stated that hyperspectral TIR remote sensing offers great potential for the detection of plant responses to water stress at ground- and airborne level based on both TIR key variables, surface temperature and spectral emissivity. However, the large-scale application of water stress detection based on hyperspectral TIR measures in precision agriculture will be challenged by several problems: (i) missing thresholds of temperature-based indices (e.g., CWSI) for the application in irrigation scheduling, (ii) lack of current TIR satellite missions with suitable spectral and spatial resolution, (iii) lack of appropriate data processing schemes (including atmosphere correction and temperature emissivity separation) for hyperspectral TIR remote sensing at airborne- and satellite level.
Diese Arbeit konzentriert sich auf die Darstellung gemeinsamer Projekte von Hotelunternehmen und Hochschulen mit hotelspezifischen Studienangeboten. Infolge der demografischen Entwicklungen sowie des Wertewandels gewinnen Personalgewinnung und Mitarbeiterloyalisierung zunehmend an Bedeutung und werden zu einem Wettbewerbsparameter der Hotellerie. Für diese essentielle Herausforderung sind Hotelbetriebe mit engagierter Mitarbeiterförderung gefragt. Viele Hochschulen haben neue Studiengänge im Tourismus, Event- oder Hotelmanagementbereich praxisorientiert aufgelegt, um der Skepsis der Hotellerie entgegen zu wirken und um zugleich den Erwartungen der Studenten gerecht zu werden. Viele der Studenten wären potenzielle Auszubildende, die sich bei der Abwägung allerdings für die Studienoption entschieden haben. Daher ist es wichtig, in enger Kooperation mit den hierzu passenden Institutionen und Bildungsträgern, vor allem praxisnahe Studienmodelle für sich verändernde Erwartungen der Bewerber mit modernen Lehrinhalten zu entwickeln und erfolgreich am Markt zu platzieren. Daher verfolgt diese Arbeit den Ansatz, adäquate Kriterien und Faktoren für den Erfolg vertraglich vereinbarter Kooperationen zwischen Hotelketten und Hochschulen zu analysieren und daraus Handlungsempfehlungen abzuleiten. Die große Anzahl an Kooperationen macht deutlich, dass die Notwendigkeit für die Hotellerie, sich im Bereich der Mitarbeitergewinnung, -bindung und -entwicklung mit akademischen Partnern zusammen zu schließen, bei einer ansteigenden Zahl von Hotelgruppen nachvollzogen wird. Durch die zurückhaltende Vermarktung vieler Kooperationsmodelle ist deren Bekanntheit jedoch begrenzt und dadurch auch deren positive Auswirkungen auf das Image der Hotellerie. Gleichwohl sind in der Bildungslandschaft steigende Studentenzahlen und eine Vermehrung der Studiengänge bei gleichzeitig gravierender Abnahme der Zahl berufsfachlich Ausgebildeter erkennbar. Die Kooperationsmodelle sind daher ein sinnvolles Instrument, um auf diese Marktentwicklungen zu reagieren, wobei ihre Bedeutung primär von Unternehmen mit strategischer Personalpolitik erkannt wird. Daraus wurde die "Typologie privilegierter Bildungspartnerschaften" mit einer Bandbreite von zehn Kooperationstypen entwickelt. Damit werden unterschiedliche Intensitäten der partnerschaftlichen Bildungselemente ebenso deutlich wie ein individualisiertes "Faktoren-Phasenmodell", dass die Prozessstruktur der Kooperationsentwicklung abbildet. Je nach Enge der Zusammenarbeit, nach Unternehmens- und Hochschulphilosophie und entsprechend der Erfahrungen mit Kooperationen entstehen vor allem Verpflichtungen und Herausforderungen in der aktiven Gestaltung und verlässlichen Kommunikation in einem Kooperationsmodell. Eine Schlüsselrolle nimmt der persönlich verantwortliche Koordinator ein, der als Garant für eine effiziente Organisation und Professionalität angesehen wird. Daraus ableitend sind die Erfolgsfaktoren im ASP-Modell herausgefiltert worden: Attraktivität, Sicherheit und Persönlichkeit machen den Erfolg einer privilegierten Bildungspartnerschaft aus. Bestätigt wurde zudem, dass die Erfahrung der beiden Partner einer Kooperation zueinander passen muss und eine klare Zielvereinbarung mit Fixierung der Pflichten und Aufgaben erforderlich ist. Ein hoher Qualitätsanspruch, Transparenz und Prozesseffizienz ergänzen dies und machen deutlich, dass der Bildungsbereich als Teil der Personalpolitik eines Unternehmens sensibel und anspruchsvoll zugleich ist. Die Verankerung auf der Führungsebene eines Unternehmens ist entscheidend, um durch ein Signal nach innen und außen den Stellenwert einer Bildungsallianz zu verdeutlichen. Wenn aus Lernen und Wissen wirtschaftliche Vorteile erarbeitet werden können, wird Bildung noch mehr als Markenkern eines guten Arbeitgebers interpretiert. Auf dieser Grundlage wird der Gedanke der Personalentwicklung durch den Ansatz fortwährender Mitarbeiterbildung perfektioniert und der Lösungsansatz einer "privilegierten Bildungspartnerschaft" legt den Grundstein dafür. Nachwuchskräfteförderung wird zum strategischen Mittel der Mitarbeiterbindung und zur Vermeidung kostenintensiver Vakanzen, zudem sichern Netzwerke Fachwissen und stärken das Unternehmensimage. Mit privilegierten Bildungspartnerschaften werden geeignete Modelle vorgestellt, um einsatzfreudige Mitarbeiter zu halten und sie gleichzeitig auf den nächsten Karriereschritt vorzubereiten. Die vorliegende Ausarbeitung liefert einen Diskussionsbeitrag zum besseren gegenseitigen Verständnis einer Symbiose aus Hotelkette und Hochschule im Bildungsbereich sowie erfolgreiche Konzeptideen für vielfältige Netzwerkstrukturen.
This study aims to estimate the cotton yield at the field and regional level via the APSIM/OZCOT crop model, using an optimization-based recalibration approach based on the state variable of the cotton canopy - the leaf area index (LAI), derived from atmospherically corrected Landsat-8 OLI remote sensing images in 2014. First, a local sensitivity and global analysis approach was employed to test the sensitivity of cultivar, soil and agronomic parameters to the dynamics of the LAI. After sensitivity analyses, a series of sensitive parameters were obtained. Then, the APSIM/OZCOT crop model was calibrated by observations over a two-year span (2006-2007) at the Aksu station, combined with these sensitive cultivar parameters and the current understanding of cotton cultivar parameters. Third, the relationship between the observed in-situ LAI and synchronous perpendicular vegetation indices derived from six Landsat-8 OLI images covering the entire growth stage was modelled to generate LAI maps in time and space. Finally, the Particle Swarm Optimization (PSO) and general-purpose optimization approach (based on Nelder-Mead algorithm) were used to recalibrate four sensitive agronomic parameters (row spacing, sowing density per row, irrigation amount and total fertilization) according to the minimization of the root-mean-square deviation (RMSE) between the simulated LAI from the APSIM/OZCOT model and retrieved LAI from Landsat-8 OLI remote sensing images. After the recalibration, the best simulated results compared with observed cotton yield were obtained. The results showed that: (1) FRUDD, FLAI and DDISQ were the major cultivar parameters suitable for calibrating the cotton cultivar. (2) After the calibration, the simulated LAI performed well with an RMSE and mean absolute error (MAE) of 0.45 and 0.33, respectively, in 2006 and 0.46 and 0.41, respectively, in 2007. The coefficient of determination between the observed and simulated LAI was 0.83 and 0.97, respectively, in 2006 and 2007. The Pearson- correlation coefficient was 0.913 and 0.988 in 2006 and 2007, respectively, with a significant positive correlation between the simulated and observed LAI. The difference between the observed and simulated yield was 776.72 kg/ha and 259.98 kg/ha in 2006 and 2007, respectively. (3) Cotton cultivation in 2014 was obtained using three Landsat-8 OLI images - DOY136 (May), DOY 168 (June) and DOY 200 (July) - based on the phenological differences in cotton and other vegetation types. (4) The yield estimation after the assimilation closely approximated the field-observed values, and the coefficient of determination was as high as 0.82, after recalibration of the APSIM/OZCOT model for ten cotton fields. The difference between the observed and assimilated yields for the ten fields ranged from 18.2 to 939.7 kg/ha. The RMSE and MAE between the assimilated and observed yield was 417.5 and 303.1 kg/ha, respectively. These findings provide scientific evidence for the feasibility of coupled remote sensing and APSIM/OZCOT model at the field level. (5) Upscaling from field level to regional level, the assimilation algorithm and scheme are both especially important. Although the PSO method is very efficient, the computational efficiency is also the shortcoming of the assimilation strategy on a regional scale. Comparisons between the PSO and general-purpose optimization method (based on the Nelder-Mead algorithm) were implemented from the RSME, LAI curve and computational time. The general-purpose optimization method (based on the Nelder-Mead algorithm) was used for the regional assimilation between remote sensing and the APSIM/OZCOT model. Meanwhile, the basic unit for regional assimilation was also determined as cotton field rather than pixel. Moreover, the crop growth simulation was also divided into two phases (vegetative growth and reproductive growth) for regional assimilation. (6) The regional assimilation at the vegetative growth stage between the remote sensing derived and APSIM/OZCOT model-simulated LAI was implemented by adjusting two parameters: row spacing and sowing density per row. The results showed that the sowing density of cotton was higher in the southern part than in the northern part of the study area. The spatial pattern of cotton density was also consistent with the reclamation from 2001 to 2013. Cotton fields after early reclamation were mainly located in the southern part while the recent reclamation was located in the northern part. Poor soil quality, lack of irrigation facilities and woodland belts of cotton fields in the northern part caused the low density of cotton. Regarding the row spacing, the northern part was larger than the southern part due to the variation of two agronomic modes from military and private companies. (7) The irrigation and fertilization amount were both used as key parameters to be adjusted for regional assimilation during the reproductive growth period. The result showed that the irrigation per time ranged from 58.14 to 89.99 mm in the study area. The spatial distribution of the irrigation amount is higher in the northern part while lower in southern study area. The application of urea fertilization ranged from 500.35 to 1598.59 kg/ha in the study area. The spatial distribution of fertilization was lower in the northern part and higher in the southern part. More fertilization applied in the southern study area aims to increase the boll weight and number for pursuing higher yields of cotton. The frequency of the RSME during the second assimilation was mainly located in the range of 0.4-0.6 m2/m2. The estimated cotton yield ranged from 1489 to 8895 kg/ha. The spatial distribution of the estimated yield is also higher in the southern part than the northern study area.
This paper describes the concept of the hyperspectral Earth-observing thermal infrared (TIR) satellite mission HiTeSEM (High-resolution Temperature and Spectral Emissivity Mapping). The scientific goal is to measure specific key variables from the biosphere, hydrosphere, pedosphere, and geosphere related to two global problems of significant societal relevance: food security and human health. The key variables comprise land and sea surface radiation temperature and emissivity, surface moisture, thermal inertia, evapotranspiration, soil minerals and grain size components, soil organic carbon, plant physiological variables, and heat fluxes. The retrieval of this information requires a TIR imaging system with adequate spatial and spectral resolutions and with day-night following observation capability. Another challenge is the monitoring of temporally high dynamic features like energy fluxes, which require adequate revisit time. The suggested solution is a sensor pointing concept to allow high revisit times for selected target regions (1"5 days at off-nadir). At the same time, global observations in the nadir direction are guaranteed with a lower temporal repeat cycle (>1 month). To account for the demand of a high spatial resolution for complex targets, it is suggested to combine in one optic (1) a hyperspectral TIR system with ~75 bands at 7.2"12.5 -µm (instrument NEDT 0.05 K"0.1 K) and a ground sampling distance (GSD) of 60 m, and (2) a panchromatic high-resolution TIR-imager with two channels (8.0"10.25 -µm and 10.25"12.5 -µm) and a GSD of 20 m. The identified science case requires a good correlation of the instrument orbit with Sentinel-2 (maximum delay of 1"3 days) to combine data from the visible and near infrared (VNIR), the shortwave infrared (SWIR) and TIR spectral regions and to refine parameter retrieval.
Dry tropical forests undergo massive conversion and degradation processes. This also holds true for the extensive Miombo forests that cover large parts of Southern Africa. While the largest proportional area can be found in Angola, the country still struggles with food shortages, insufficient medical and educational supplies, as well as the ongoing reconstruction of infrastructure after 27 years of civil war. Especially in rural areas, the local population is therefore still heavily dependent on the consumption of natural resources, as well as subsistence agriculture. This leads, on one hand, to large areas of Miombo forests being converted for cultivation purposes, but on the other hand, to degradation processes due to the selective use of forest resources. While forest conversion in south-central rural Angola has already been quantitatively described, information about forest degradation is not yet available. This is due to the history of conflicts and the therewith connected research difficulties, as well as the remote location of this area. We apply an annual time series approach using Landsat data in south-central Angola not only to assess the current degradation status of the Miombo forests, but also to derive past developments reaching back to times of armed conflicts. We use the Disturbance Index based on tasseled cap transformation to exclude external influences like inter-annual variation of rainfall. Based on this time series, linear regression is calculated for forest areas unaffected by conversion, but also for the pre-conversion period of those areas that were used for cultivation purposes during the observation time. Metrics derived from linear regression are used to classify the study area according to their dominant modification processes.rnWe compare our results to MODIS latent integral trends and to further products to derive information on underlying drivers. Around 13% of the Miombo forests are affected by degradation processes, especially along streets, in villages, and close to existing agriculture. However, areas in presumably remote and dense forest areas are also affected to a significant extent. A comparison with MODIS derived fire ignition data shows that they are most likely affected by recurring fires and less by selective timber extraction. We confirm that areas that are used for agriculture are more heavily disturbed by selective use beforehand than those that remain unaffected by conversion. The results can be substantiated by the MODIS latent integral trends and we also show that due to extent and location, the assessment of forest conversion is most likely not sufficient to provide good estimates for the loss of natural resources.
Die organische Bodensubstanz (OBS) ist eine fundamentale Steuergröße aller biogeochemischen Prozesse und steht in engem Zusammenhang zu Kohlenstoffkreisläufen und globalem Klima. Die derzeitige Herausforderung der Ökosystemforschung ist die Identifizierung der für die Bodenqualität relevanten Bioindikatoren und deren Erfassung mit Methoden, die eine nachhaltige Nutzung der OBS in großem Maßstab überwachen und damit zu globalen Erderkundungsprogrammen beitragen können. Die fernerkundliche Technik der Vis-NIR Spektroskopie ist eine bewährte Methode für die Beurteilung und das Monitoring von Böden, wobei ihr Potential bezüglich der Erfassung biologischer und mikrobieller Bodenparameter bisher umstritten ist. Das Ziel der vorgestellten Arbeit war die quantitative und qualitative Untersuchung der OBS von Ackeroberböden mit unterschiedlichen Methoden und variierender raumzeitlicher Auflösung sowie die anschließende Bewertung des Potentials non-invasiver, spektroskopischer Methoden zur Erfassung ausgewählter Parameter dieser OBS. Dafür wurde zunächst eine umfassende lokale Datenbank aus chemischen, physikalischen und biologischen Bodenparametern und dazugehörigen Bodenspektren einer sehr heterogenen geologischen Region mit gemäßigten Klima im Südwesten Deutschlands erstellt. Auf dieser Grundlage wurde dann das Potential der Bodenspektroskopie zur Erfassung und Schätzung von Feld- und Geländedaten ausgewählter OBS Parameter untersucht. Zusätzlich wurde das Optimierungspotential der Vorhersagemodelle durch statistische Vorverarbeitung der spektralen Daten getestet. Die Güte der Vorhersagewahrscheinlichkeit gebräuchlicher fernerkundlicher Bodenparameter (OC, N) konnte für im Labor erhobene Hyperspektralmessungen durch statistische Optimierungstechniken wie Variablenselektion und Wavelet-Transformation verbessert werden. Ein zusätzliches Datenset mit mikrobiellen/labilen OBS Parametern und Felddaten wurde untersucht um zu beurteilen, ob Bodenspektren zur Vorhersage genutzt werden können. Hierzu wurden mikrobieller Kohlenstoff (MBC), gelöster organischer Kohlenstoff (DOC), heißwasserlöslicher Kohlenstoff (HWEC), Chlorophyll α (Chl α) und Phospholipid-Fettsäuren (PLFAs) herangezogen. Für MBC und DOC konnte abhängig von Tiefe und Jahreszeit eine mittlere Güte der Vorhersagewahrscheinlichkeit erreicht werden, wobei zwischen hohen und niedrigen Konzentration unterschieden werden konnte. Vorhersagen für OC und PLFAs (Gesamt-PLFA-Gehalt sowie die mikrobiellen Gruppen der Bakterien, Pilze und Algen) waren nicht möglich. Die beste Prognosewahrscheinlichkeit konnte für das Chlorophyll der Grünalgen an der Bodenoberfläche (0-1cm Bodentiefe) erzielt werden, welches durch Korrelation mit MBC vermutlich auch für dessen gute Vorhersagewahrscheinlichkeit verantwortlich war. Schätzungen des Gesamtgehaltes der OBS, abgeleitet durch OC, waren hingegen nicht möglich, was der hohen Dynamik der mikrobiellen OBS Parameter an der Bodenoberfläche zuzuschreiben ist. Das schränkt die Repräsentativität der spektralen Messung der Bodenoberfläche zeitlich ein. Die statistische Optimierungstechnik der Variablenselektion konnte für die Felddaten nur zu einer geringen Verbesserung der Vorhersagemodelle führen. Die Untersuchung zur Herkunft der organischen Bestandteile und ihrer Auswirkungen auf die Quantität und Qualität der OBS konnte die mikrobielle Nekromasse und die Gruppe der Bodenalgen als zwei mögliche weitere signifikante Quellen für die Entstehung und Beständigkeit der OBS identifizieren. Insgesamt wird der mikrobielle Beitrag zur OBS höher als gemeinhin angenommen eingestuft. Der Einfluss mikrobieller Bestandteile konnte für die OBS Menge, speziell in der mineralassoziierten Fraktion der OBS in Ackeroberböden, sowie für die OBS Qualität hinsichtlich der Korrelation von mikrobiellen Kohlenhydraten und OBS Stabilität gezeigt werden. Die genaue Quantifizierung dieser OBS Parameter und ihre Bedeutung für die OBS Dynamik sowie ihre Prognostizierbarkeit mittels spektroskopischer Methoden ist noch nicht vollständig geklärt. Für eine abschließende Beurteilung sind deshalb weitere Studien notwendig.
Avoiding aerial microfibre contamination of environmental samples is essential for reliable analyses when it comes to the detection of ubiquitous microplastics. Almost all laboratories have contamination problems which are largely unavoidable without investments in clean-air devices. Therefore, our study supplies an approach to assess background microfibre contamination of samples in the laboratory under particle-free air conditions. We tested aerial contamination of samples indoor, in a mobile laboratory, within a laboratory fume hood and on a clean bench with particles filtration during the examining process of a fish. The used clean bench reduced aerial microfibre contamination in our laboratory by 96.5%. This highlights the value of suitable clean-air devices for valid microplastic pollution data. Our results indicate, that pollution levels by microfibres have been overestimated and actual pollution levels may be many times lower. Accordingly, such clean-air devices are recommended for microplastic laboratory applications in future research work to significantly lower error rates.
Global human population growth is associated with many problems, such asrnfood and water provision, political conflicts, spread of diseases, and environmental destruction. The mitigation of these problems is mirrored in several global conventions and programs, some of which, however, are conflicting. Here, we discuss the conflicts between biodiversity conservation and disease eradication. Numerous health programs aim at eradicating pathogens, and many focus on the eradication of vectors, such as mosquitos or other parasites. As a case study, we focus on the "Pan African Tsetse and Trypanosomiasis Eradication Campaign," which aims at eradicating a pathogen (Trypanosoma) as well as its vector, the entire group of tsetse flies (Glossinidae). As the distribution of tsetse flies largely overlaps with the African hotspots of freshwater biodiversity, we argue for a strong consideration of environmental issues when applying vector control measures, especially the aerial applications of insecticides.rnFurthermore, we want to stimulate discussions on the value of speciesrnand whether full eradication of a pathogen or vector is justified at all. Finally, we call for a stronger harmonization of international conventions. Proper environmental impact assessments need to be conducted before control or eradication programs are carried out to minimize negative effects on biodiversity.
Erosion durch Regen und Wind schädigt fruchtbare Bodensubstanz irreversibel, verursacht weltweit riesige ökologische und sozio-ökonomische Schäden und ist eines der Hauptanliegen bezüglich Ökosystemdienstleistungen und Nahrungsmittelsicherheit. Die Quantifizierung von Abtragsraten ist immer noch höchst spekulativ, und fehlende empirische Daten führen zu großen Unsicherheiten von Risikoanalysemodellen. Als ein wesentlicher Grund für diese Unsicherheiten wird in dieser Arbeit die Prozesse der Beeinflussung von Wassererosion durch Wind und, im Speziellen, die Erosionsleistung von windbeeinflussten Regentropfen im Gegensatz zu windlosen Tropfen inklusive unterschiedlicher Oberflächenparameter beleuchtet. Der Forschungsansatz war experimentell-empirisch und beinhaltete die Entwicklung und Formulierung der Forschungshypothesen, die Konzeption und Durchführung von Experimenten mit einem mobilen Wind-Regenkanal, die Probenverarbeitung und Analyse sowie Interpretation der Daten. Die Arbeit gliedert sich in die Teile 1. "Bodenerosionsexperimente zu windbeeinflusstem Regen auf autochthonen und naturähnlichen Böden", 2. "Experimente zu Substratpartikeltransport durch windbeeinflussten Tropfenschlag" und 3. "Zusammenführung der Freiland- und Labortests". 1. Tests auf autochthonen degradierten Böden im semiariden Südspanien sowie auf kohäsionslosem sandigen Substrat wurden durchgeführt, um die relativen Auswirkungen von windbeeinflusstem Regen auf Oberflächenabflussbildung und Erosion zu untersuchen und zu quantifizieren. In der überwiegenden Anzahl der Versuche wurde klar eine Erhöhung der Erosionsraten festgestellt, was die Forschungshypothese, windbeeinflusster Regen sei erosiver als windloser Regen, deutlich bestätigte. Neben den stark erhöhten wurden auch niedrigere Abtragswerte gemessen, was zum einen die ausnehmende Relevanz der Oberflächenstrukturen und damit von in-situ- Experimenten belegte, zum anderen auf eine Erhöhung der Variabilität der Erosionsprozesse deutete. Diese Variabilität scheint zuzunehmen mit der Erhöhung der beteiligten Faktoren. 2. Ein sehr spezialisiertes Versuchsdesign wurde entwickelt und eingesetzt, um explizite Messungen der Tropfenschlagprozesse mit und ohne Windeinfluss durchzuführen. Getestet wurden die Erosionsagenzien Regen, Wind und windbeeinflusster Regen sowie drei Neigungen, drei Rauheiten und zwei Substrate. Alle Messergebnisse zeigten eine klare windinduzierte Erhöhung der Erosion um bis zu zwei Größenordnungen gegenüber windlosem Tropfenschlag und Wind. Windbeeinflusster Regen wird durch die gesteigerte Transportmenge und Weite als wesentlicher Erosionsfaktor bestätigt und ist damit ein Schlüsselparameter bei der Quantifizierung von globaler Bodenerosion, Erstellung von Sedimentbudgets und bei der Erforschung von Connectivity. Die Daten sind von hervorragender Qualität und sowohl für anspruchsvollere Analysemethoden (multivariate Statistik) als auch für Modellierungsansätze geeignet. 3. Eine Synthese aus Feld- und Laborversuchen (darunter auch ein bis dato unveröffentlichtes Versuchsset) inklusive einer statistischen Analyse bestätigt WDR als den herausragenden Faktor, der alle anderen Faktoren überlagert. Die Zusammenführung der beiden komplementären Experimentgruppen bringt die Forschungsreihe zu windbeeinflusstem Regen auf eine weiterführende Ebene, indem die Messergebnisse in einen ökologischen Zusammenhang gesetzt werden. Eine vorsichtige Projektion auf Landschaftsebene ermöglicht einen Einblick in die Risikobewertung von Bodenerosion durch windbeeinflussten Regen. Es wird deutlich, dass er sich gerade auch im Zusammenhang mit den durch den Klimawandel verstärkt auftretenden Regensturmereignissen katastrophal auf Bodenerosionsraten auszuwirken kann und dringend in die Bodenerosionsmodellierung integriert werden muss.
In recent decades, the Arctic has been undergoing a wide range of fast environmental changes. The sea ice covering the Arctic Ocean not only reacts rapidly to these changes, but also influences and alters the physical properties of the atmospheric boundary layer and the underlying ocean on various scales. In that regard, polynyas, i.e. regions of open water and thin ice within thernclosed pack ice, play a key role as being regions of enhanced atmosphere-ice-ocean interactions and extensive new ice formation during winter. A precise long-term monitoring and increased efforts to employ long-term and high-resolution satellite data is therefore of high interest for the polar scientific community. The retrieval of thin-ice thickness (TIT) fields from thermal infrared satellite data and atmospheric reanalysis, utilizing a one-dimensional energy balance model, allows for the estimation of the heat loss to the atmosphere and hence, ice-production rates. However, an extended application of this approach is inherently connected with severe challenges that originate predominantly from the disturbing influence of clouds and necessary simplifications in the model set-up, which all need to be carefully considered and compensated for. The presented thesis addresses these challenges and demonstrates the applicability of thermal infrared TIT distributions for a long-term polynya monitoring, as well as an accurate estimation of ice production in Arctic polynyas at a relatively high spatial resolution. Being written in a cumulative style, the thesis is subdivided into three parts that show the consequent evolution and improvement of the TIT retrieval, based on two regional studies (Storfjorden and North Water (NOW) polynya) and a final large-scale, pan-Arctic study. The first study on the Storfjorden polynya, situated in the Svalbard archipelago, represents the first long-term investigation on spatial and temporal polynya characteristics that is solely based on daily TIT fields derived from MODIS thermal infrared satellite data and ECMWF ERA-Interim atmospheric reanalysis data. Typical quantities such as polynya area (POLA), the TIT distribution, frequencies of polynya events as well as the total ice production are derived and compared to previous remote sensing and modeling studies. The study includes a first basic approach that aims for a compensation of cloud-induced gaps in daily TIT composites. This coverage-correction (CC) is a mathematically simple upscaling procedure that depends solely on the daily percentage of available MODIS coverage and yields daily POLA with an error-margin of 5 to 6 %. The NOW polynya in northern Baffin Bay is the main focus region of the second study, which follows two main goals. First, a new statistics-based cloud interpolation scheme (Spatial Feature Reconstruction - SFR) as well as additional cloud-screening procedures are successfully adapted and implemented in the TIT retrieval for usage in Arctic polynya regions. For a 13-yr period, results on polynya characteristics are compared to the CC approach. Furthermore, an investigation on highly variable ice-bridge dynamics in Nares Strait is presented. Second, an analysis of decadal changes of the NOW polynya is carried out, as the additional use of a suite of passive microwave sensors leads to an extended record of 37 consecutive winter seasons, thereby enabling detailed inter-sensor comparisons. In the final study, the SFR-interpolated daily TIT composites are used to infer spatial and temporal characteristics of 17 circumpolar polynya regions in the Arctic for 2002/2003 to 2014/2015. All polynya regions combined cover an average thin-ice area of 226.6 -± 36.1 x 10-³ km-² during winter (November to March) and yield an average total wintertime accumulated ice production of about 1811 -± 293 km-³. Regional differences in derived ice production trends are noticeable. The Laptev Sea on the Siberian shelf is presented as a focus region, as frequently appearing polynyas along the fast-ice edge promote high rates of new ice production. New affirming results on a distinct relation to sea-ice area export rates and hence, the Transpolar Drift, are shown. This new high-resolution pan-Arctic data set can be further utilized and build upon in a variety of atmospheric and oceanographic applications, while still offering room for further improvements such as incorporating high-resolution atmospheric data sets and an optimized lead-detection.
Determining the exact position of a forest inventory plot—and hence the position of the sampled trees—is often hampered by a poor Global Navigation Satellite System (GNSS) signal quality beneath the forest canopy. Inaccurate geo-references hamper the performance of models that aim to retrieve useful information from spatially high remote sensing data (e.g., species classification or timber volume estimation). This restriction is even more severe on the level of individual trees. The objective of this study was to develop a post-processing strategy to improve the positional accuracy of GNSS-measured sample-plot centers and to develop a method to automatically match trees within a terrestrial sample plot to aerial detected trees. We propose a new method which uses a random forest classifier to estimate the matching probability of each terrestrial-reference and aerial detected tree pair, which gives the opportunity to assess the reliability of the results. We investigated 133 sample plots of the Third German National Forest Inventory (BWI, 2011"2012) within the German federal state of Rhineland-Palatinate. For training and objective validation, synthetic forest stands have been modeled using the Waldplaner 2.0 software. Our method has achieved an overall accuracy of 82.7% for co-registration and 89.1% for tree matching. With our method, 60% of the investigated plots could be successfully relocated. The probabilities provided by the algorithm are an objective indicator of the reliability of a specific result which could be incorporated into quantitative models to increase the performance of forest attribute estimations.
Earth observation (EO) is a prerequisite for sustainable land use management, and the open-data Landsat mission is at the forefront of this development. However, increasing data volumes have led to a "digital-divide", and consequently, it is key to develop methods that account for the most data-intensive processing steps, then used for the generation and provision of analysis-ready, standardized, higher-level (Level 2 and Level 3) baseline products for enhanced uptake in environmental monitoring systems. Accordingly, the overarching research task of this dissertation was to develop such a framework with a special emphasis on the yet under-researched drylands of Southern Africa. A fully automatic and memory-resident radiometric preprocessing streamline (Level 2) was implemented. The method was applied to the complete Angolan, Zambian, Zimbabwean, Botswanan, and Namibian Landsat record, amounting 58,731 images with a total data volume of nearly 15 TB. Cloud/shadow detection capabilities were improved for drylands. An integrated correction of atmospheric, topographic and bidirectional effects was implemented, based on radiative theory with corrections for multiple scatterings, and adjacency effects, as well as including a multilayered toolset for estimating aerosol optical depth over persistent dark targets or by falling back on a spatio-temporal climatology. Topographic and bidirectional effects were reduced with a semi-empirical C-correction and a global set of correction parameters, respectively. Gridding and reprojection were already included to facilitate easy and efficient further processing. The selection of phenologically similar observations is a key monitoring requirement for multi-temporal analyses, and hence, the generation of Level 3 products that realize phenological normalization on the pixel-level was pursued. As a prerequisite, coarse resolution Land Surface Phenology (LSP) was derived in a first step, then spatially refined by fusing it with a small number of Level 2 images. For this purpose, a novel data fusion technique was developed, wherein a focal filter based approach employs multi-scale and source prediction proxies. Phenologically normalized composites (Level 3) were generated by coupling the target day (i.e. the main compositing criterion) to the input LSP. The approach was demonstrated by generating peak, end and minimum of season composites, and by comparing these with static composites (fixed target day). It was shown that the phenological normalization accounts for terrain- and land cover class-induced LSP differences, and the use of Level 2 inputs enables a wide range of monitoring options, among them the detection of within state processes like forest degradation. In summary, the developed preprocessing framework is capable of generating several analysis-ready baseline EO satellite products. These datasets can be used for regional case studies, but may also be directly integrated into more operational monitoring systems " e.g. in support of the Reducing Emissions from Deforestation and Forest Degradation (REDD) incentive. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Trier University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.
The development of our society contributed to increased occurrence of emerging substances (pesticides, pharmaceuticals, personal care products, etc.) in wastewater. Because of their potential hazard on ecosystems and humans, Wastewater Treatment Plants (WWTPs) need to adapt to better remove these compounds. Technology or policy development should however comply with sustainable development, e.g. based on Life Cycle Assessment (LCA) metrics. Nevertheless, the reliability or consistency of LCA results can sometimes be debatable. The main objective of this work was to explore how LCA can better support the implementation of innovative wastewater treatment options, in particular including removal benefits. The method was applied to support solutions for pharmaceuticals elimination from wastewater, regarding: (i) UV technology design, (ii) choice of advanced technology and (iii) centralized or decentralized treatment policy. The assessment approach followed by previous authors based on net impacts calculation seemed very promising to consider both environmental effects induced by treatment plant operation and environmental benefits obtained from pollutants removal. It was therefore applied to compare UV configuration types. LCA outcomes were consistent with degradation kinetics analysis. For the comparison of advanced technologies and policy scenarios, the common practice (net impacts based on EDIP method) was compared to other assessments, to better consider elimination benefits. First, USEtox consensus was applied for the avoided (eco)toxicity impacts, in combination with the recent method ReCiPe for generated impacts. Then, an eco-efficiency indicator (EFI) was developed to weigh the treatment efforts (generated impacts based on EDIP and ReCiPe methods) by the average removal efficiency (overcoming (eco)toxicity uncertainty issues). In total, the four types of comparative assessment showed the same trends: (i) ozonation and activated carbon perform better than UV irradiation, and (ii) no clear advantage distinguished between policy scenarios. It cannot be however concluded that advanced treatment of pharmaceuticals is not necessary because other criteria should be considered (risk assessment, bacterial resistance, etc.) and large uncertainties were embedded in calculations. Indeed, a significant part of this work was dedicated to the discussion of uncertainty and limitations of the LCA outcomes. At the inventory level, it was difficult to model technology operation at development stage. For impact assessment, the newly developed characterization factors for pharmaceuticals (eco)toxicity showed large uncertainties, mainly due to the lack of data and quality for toxicity tests. The use of information made available under REACH framework to develop CFs for detergent ingredients tried to cope with this issue but the benefits were limited due to the mismatch of information between REACH and USEtox method. The highlighted uncertainties were treated with sensitivity analyses to understand their effects on LCA results. This research work finally presents perspectives on the use of transparently generated data (technology inventory and (eco)toxicity factors) and further development of EFI indicator. Also, an accent is made on increasing the reliability of LCA outcomes, in particular through the implementation of advanced techniques for uncertainty management. To conclude, innovative technology/product development (e.g. based on circular economy approach) needs the involvement of all types of actors and the support from sustainability metrics.
It is generally assumed that the temperature increase associated with global climate change will lead to increased thunderstorm intensity and associated heavy precipitation events. In the present study it is investigated whether the frequency of thunderstorm occurrences will in- or decrease and how the spatial distribution will change for the A1B scenario. The region of interest is Central Europe with a special focus on the Saar-Lor-Lux region (Saarland, Lorraine, Luxembourg) and Rhineland-Palatinate.Daily model data of the COSMO-CLM with a horizontal resolution of 4.5 km is used. The simulations were carried out for two different time slices: 1971"2000 (C20), and 2071"2100 (A1B). Thunderstorm indices are applied to detect thunderstorm-prone conditions and differences in their frequency of occurrence in the two thirty years timespans. The indices used are CAPE (Convective Available Potential Energy), SLI (Surface Lifted Index), and TSP (Thunderstorm Severity Potential).The investigation of the present and future thunderstorm conducive conditions show a significant increase of non-thunderstorm conditions. The regional averaged thunderstorm frequencies will decrease in general, but only in the Alps a potential increase in thunderstorm occurrences and intensity is found. The comparison between time slices of 10 and 30 years length show that the number of gridpoints with significant signals increases only slightly. In order to get a robust signal for severe thunderstorm, an extension to more than 75 years would be necessary.
Mechanisch-biologisch behandelte Abfälle zeigen im Vergleich mit unbehandelten Siedlungsabfällen völlig veränderte geomechanische Eigenschaften auf. Das Emissionspotenzial ist weitgehend reduziert. Dies erforderte eine Anpassung der Deponietechnik bezüglich Materialeinbau und Deponiebetrieb. Um sowohl das Deponieverhalten der mechanisch-biologisch behandelten Abfälle sowie das verbleibende Emissionspotenzial beurteilen zu können, wurde in dieser Arbeit ein breit angelegtes Untersuchungsprogramm im Deponiefeld umgesetzt, welches zum Ziel hat, das Langzeitverhalten des mechanisch-biologisch behandelten Abfalls im Deponiefeld zu beschreiben. Hieraus wurden Empfehlungen für Deponiebetreiber abgeleitet, die eine langfristige Sicherung der gesetzlichen Anforderungen an das Ablagern von MBA-Material gewährleisten. Somit wird der Forderung nach einem nachhaltigen Schutz der Umwelt Rechnung getragen. Eine solche Sicherung ermöglicht einen langfristig ökonomisch und ökologisch tragbaren Deponiebetrieb und somit die nötige Planungssicherheit für Deponiebetreiber. rnDie bisherigen Erfahrungen haben gezeigt, dass MBA-Deponien unter den beschriebenen Bedingungen ohne größere Probleme betrieben werden können. Durch die mechanisch-biologische Behandlung wurde jedoch der gesamte Bereich der Ablagerung neu definiert. rnSchwerpunkt des Untersuchungsprogramms war die Untersuchung der Temperatur- und Feuchtigkeitsentwicklung im Deponiekörper, der daraus resultierenden Auswirkungen auf die Zusammensetzung und Menge des Deponiegases sowie die Beurteilung der geotechnischen Erfordernisse an das abzulagernde Material und das Deponiefeld. Hierbei stand die Untersuchung von Porenwasserdrücken im Vordergrund. Die Ergebnisse haben gezeigt, dass die Temperaturniveaus im Deponiekörper mit ca. 16-25-°C etwas unter den von DSR lagen. Die Deponiegaszusammensetzung weicht ebenfalls etwas von den Ergebnissen aus DSR ab. Die Deponiegasmenge liegt im erwarteten Bereich und lässt Rückschlüsse auf das Gasphasenmodell zu. An den Zuordnungskriterien konnten keine wesentlichen Veränderungen oder Abbauraten bezogen auf das Ursprungsmaterial beobachtet werden. Die Anforderungen an den Einbau von mechanisch-biologisch behandelten Abfällen sollten weiterhin unter der Maßgabe: verdichteter Dünnschichteinbau, Profilierung mit 5-10% Gefälle, Einbauwassergehalt 30-35 %, geringstmögliche Einbaufläche und einer arbeitstägigen Abdeckung des Deponiefeldes mit wasserundurchlässigem Material in regenintensiven Monaten und im Winter erfolgen. Ein Deponiebetrieb nach den Vorgaben des Anhanges 5, Nr. 6 der Deponieverord-nung, nach dem ein Deponiebetreiber den Anfall von Sickerwasser so gering zu halten hat, wie dies nach dem Stand der Technik möglich ist, ist somit umsetzbar. Aufgrund der geringen Sickerwassermengen und des verdichteten Materialeinbaus stellt der Deponiekörper mit MBA-Material kein umweltrelevantes Gefährdungspotenzial bezogen auf die Deponiegasemissionen dar, insofern nach Abschluss des Deponiekörpers eine Methanoxidationsschicht als Oberflächenabdichtung aufgebracht wird.
Besides well-known positive aspects of conservation tillage combined with mulching, a drawback may be the survival of phytopathogenic fungi like Fusarium species on plant residues. This may endanger the health of the following crop by increasing the infection risk for specific plant diseases. In infected plant organs, these pathogens are able to produce mycotoxins like deoxynivalenol (DON). Mycotoxins like DON persist during storage, are heat resistant and of major concern for human and animal health after consumption of contaminated food and feed, respectively. Among fungivorous soil organisms, there are representatives of the soil fauna which are obviously antagonistic to a Fusarium infection and the contamination with mycotoxins. Earthworms (Lumbricus terrestris), collembolans (Folsomia candida) and nematodes (Aphelenchoides saprophilus) provide a wide range of ecosystem services including the stimulation of decomposition processes which may result in the regulation of plant pathogens and the degradation of environmental contaminants. Several investigations under laboratory conditions and in the field were conducted to test the following hypotheses: (1) Fusarium-infected and DON-contaminated wheat straw provides a more attractive food substrate than non-infected control straw (2) the introduced soil fauna reduce the biomass of F. culmorum and the content of DON in infected wheat straw under laboratory and field conditions (3) the species interaction of the introduced soil fauna enhances the degradation of Fusarium biomass and DON concentration in wheat straw; (4) the degradation efficiency of soil fauna is affected by soil texture. The results of the present thesis pointed out that the degradation performance of the introduced soil fauna must be considered as an important contribution to the biological control of plant diseases and environmental pollutants. As in particular L. terrestris revealed to be the driver of the degradation process, earthworms contribute to a sustainable control of fungal pathogens like Fusarium and its mycotoxins in wheat straw, thus reducing the risk of plant diseases and environmental pollution as ecosystem services.
Exposure to fine and ultra-fine environmental particles is still a problem of concern in many industrialized parts of the world and the intensified use of nanotechnology may further increase exposure to small particles. Since many years air pollution is recognized as a critical problem in western countries, which led to rigorous regulation of air quality and the introduction of strict guidelines. However, the upper thresholds for particulates in ambient air recommended by the world health organization are often exceeded several times in newly industrialized countries. Such high levels of air pollution have the potential to induce adverse effects on human health. The response triggered by air pollutants is not limited to local effects of the respiratory system but is often systemic, resulting in endothelial dysfunction or atherosclerotic malady. The link between air pollution and cardiovascular disease is now accepted by the scientific community but the underlying mechanisms responsible for the pro-atherogenic potential still need to be unraveled in detail. Based on the results from in- vivo and in vitro studies the production of reactive oxygen species due to exposure to particles is the most important mechanism to explain the observed adverse effects. However, the doses that were applied in many in vivo and in vitro studies are far beyond the range of what humans are exposed to and there is the need for more realistic exposure studies. Complex in vitro coculture systems may be valuable tools to study particle-induced processes and to extrapolate effects of particles on the lung. One of the objectives of this PhD thesis was the establishment and further improvement of a complex coculture system initially described by Alfaro-Moreno et al. [1]. The system is composed of an alveolar type-II cell line (A549), differentiated macrophage-like cells (THP-1), mast cells (HMC-1) and endothelial cells (EA.hy 926), seeded in a 3D-orientation on a microporous membrane to mimic the cell response of the alveolar surface in vitro in conjunction with native aerosol exposure (VitrocellTM chamber). The tetraculture system was carefully characterized to ensure its performance and repeatability of results. The spatial distribution of the cells in the tetraculture was analyzed by confocal laser scanning microscopy (CLSM), showing a confluent layer of endothelial and epithelial cells on both sides of the Transwellâ„¢. Macrophage-like cells and mast cells can be found on top of the epithelial cells. The latter cells formed colonies under submerged conditions, which disappeared at the air-liquid-interface (ALI). The VitrocellTM aerosol exposure system was not significantly influencing the viability. Using this system, cells were exposed to an aerosol of 50 nm SiO2-Rhodamine nanoparticles (NPs) in PBS. The distribution of the NPs in the tetraculture after exposure was evaluated by CLSM. Fluorescence from internalized particles was detected in CD11b-positive THP-1 cells only. Furthermore, all cell lines were found to be able to respond to xenobiotic model compounds, such as benzo[a]pyrene (B[a]P) or 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) with the upregulation of CYP1 mRNA. With this tetraculture system the response of the endothelial part of the alveolar barrier was studied in- vitro in a still realistic exposure scenario representing the conditions for a polluted situation without direct exposure of endothelial cells. After exposure to diesel exhaust particulate matter (DEPM) the expression of different anti-oxidant target genes and inflammatory genes such as NAD(P)H dehydrogenase quinone 1 (NQO1), superoxide dismutase 1 (SOD1) and heme oxygenase 1 (HMOX1), as well as the nuclear translocation nuclear factor erythroid-derived 2 (Nrf2) was evaluated. In addition, the potential of DEPM to induce the upregulation of CYP1A1 mRNA in the endothelium was analyzed. DEPM exposure led not to an upregulation of the anti-oxidant or inflammatory target genes, but to clear nuclear translocation of Nrf2. The endothelial cells responded to the DEPM treatment also with the upregulation of CYP1A1 mRNA and nuclear translocation of the aryl hydrocarbon receptor (AhR). Overall, DEPM triggered a response in the endothelial cells after indirect exposure of the tetraculture system to low doses of DEPM, underlining the sensitivity of ALI exposure systems. The use of the tetraculture together with the native aerosol exposure equipment may finally lead to a more realistic judgment regarding the hazard of new compounds and/or new nano-scaled materials in the future. For the first time, it was possible to study the response of the endothelial cells of the alveolar barrier in vitro in a realistic exposure scenario avoiding direct exposure of endothelial cells to high amounts of particulates.
Im Fokus der Ursachenanalyse der zunehmenden Homogenisierung von Biozönosen und des weltweiten Artenverlustes steht neben dem Flächennutzungs- und Klimawandel vorrangig auch die durch den Menschen verursachte Einbringung gebietsfremder, invasiver Arten. Aufgrund ihrer Charakteristika bilden diese Arten einen wichtigen Schnittpunkt von Ökologie, Ökonomie und Soziologie in Theorie und Praxis und erfahren folglich im Zuge der weltweit steigenden Anzahl von biologischen Invasionen zunehmend eine rechtliche Regulierung. Eine grundsätzliche Herausforderung in der Invasionsforschung liegt in der Identifikation von Faktoren, die Verbreitung, Dynamik und Erfolg der Arten erklären, um anhand dieses Wissens ihr Risiko für das Ökosystem als auch hinsichtlich ökonomischer und gesundheitlicher Aspekte abschätzen zu können. Eine Einschätzung der Invasivität der Art zur Ableitung von Handlungsstrategien und zur rechtlichen Einstufung erfolgt anhand von Risikoanalysen, deren kriterienbasierte Bewertung eine Reihe wissenschaftlicher Fakten voraussetzen. Um mögliche Ausbreitungswege- und barrieren zu identifiziert und Faktoren herauszustellen, welche die erfolgreiche Etablierung und Ausbreitung des Nordamerikanischen Waschbären in Deutschland und Europa erklären, wird in dieser Dissertation unter Verwendung populationsgenetischer Methoden die Ausbreitung der Art rekonstruiert. Darüberhinaus wird in dieser Arbeit die Bedeutung von Verbreitungsmodellen als Analyse- und Präventions-Instrument in der naturschutzfachlichen Risikoabschätzung verdeutlicht und zudem die Problematik einer Risikoabschätzung auf Grundlage einer lückenhaften Wissensbasis erläutert. Der rechtliche Schwerpunkt der Dissertation widmet sich der Regulierung der Haltung von IAS, die als ein aktiver und dominanter Einbringungsweg insbesonders für gebietsfremde Wirbeltierarten zählt und für die hier betrachtete Modellart nachweislich von hoher Bedeutung ist. Die gewonnenen Erkenntnisse geben Hilfestellung zur Einstufung der Invasivität der Art und zur Beurteilung eines Handlungsbedarfes.
Seit 2005 wird auf der Deponie Muertendall (Luxemburg) der Wasserhaushalt einer Oberflächenabdeckung anhand eines Testfeldes untersucht. Die Deponie wurde 1979 in Betrieb genommen. 1991 wurde sie erstmals geschlossen, da ihre Kapazität ausgeschöpft war. Anschließend wurde die Deponie saniert und mit einer Basisabdichtung ausgestattet. Der sanierte Altmüllkörper wurde mit einer 80 cm starken Oberflächenabdeckung versehen. In diesem Bereich der Deponie wurde 2005 ein Testfeld angelegt, um den Wasserhaushalt der Abdeckung zu untersuchen. Ziel dieser Arbeit ist es den Wasserhaushalt der derzeitigen Abdeckung zu bilanzieren und ihre Wasserdurchlässigkeit zu beurteilen. Die Auswertung der Daten zeigt, dass zwischen 30 und 66% des Niederschlages jährlich unterhalb der Abdeckung als Drainageabfluss auftreten. Deutlich zu erkennen ist eine jahreszeitliche Abhängigkeit mit höheren Abflüssen im Winter. Der auftretende Oberflächenabfluss ist vernachlässigbar. In Hinblick auf die Wasserdurchlässigkeit ist die auf der Deponie bestehende Abdeckung nicht geeignet um die Sickerwassermengen deutlich zu minimieren. Da der Wasserhaushalt von Oberflächenabdeckungen die biologischen Abbauprozesse im Deponiekörper maßgeblich beeinflusst, wurden auf der Deponie ebenfalls Untersuchungen am Altmüllkörper durchgeführt, um Rückschlüsse auf den Fortschritt der biologischen Abbauprozesse zu gewinnen. Die ermittelten Wassergehalte im Deponiekörper liegen bei nur 33 Gew. % und sind somit nicht optimal für die biologischen Abbauprozesse. Der untersuchte Altmüll besteht zum Großteil nur noch aus der Fraktion <20 mm als Resultat der biologischen Abbauprozesse. Der übrige Teil besteht größtenteils aus Stoffgruppen, die nur noch schwer biologisch abbaubar sind. Weitere chemisch- physikalische Untersuchungen zeigen, dass im Altmüll immer noch Organik vorhanden ist, die aber durch die biologischen Abbauprozesse nur noch schwer abgebaut werden kann. Aus den gewonnen Ergebnissen werden Vorschläge für die endgültige Abdeckung der Deponie Muertendall gemacht.
Floods are hydrological extremes that have enormous environmental, social and economic consequences.The objective of this thesis was a contribution to the implementation of a processing chain that integrates remote sensing information into hydraulic models. Specifically, the aim was to improve water elevation and discharge simulations by assimilating microwave remote sensing-derived flood information into hydraulic models. The first component of the proposed processing chain is represented by a fully automated flood mapping algorithm that enables the automated, objective, and reliable flood extent extraction from Synthetic Aperture Radar images, providing accurate results in both rural and urban regions. The method operates with minimum data requirements and is efficient in terms of computational time. The map obtained with the developed algorithm is still subject to uncertainties, both introduced by the flood mapping algorithm and inherent in the image itself. In this work, particular attention was given to image uncertainty deriving from speckle. By bootstrapping the original satellite image pixels, several synthetic images were generated and provided as input to the developed flood mapping algorithm. From the analysis performed on the mapping products, speckle uncertainty can be considered as a negligible component of the total uncertainty. In the final step of the proposed processing chain real event water elevations, obtained from satellite observations, were assimilated in a hydraulic model with an adapted version of the Particle Filter, modified to work with non-Gaussian distribution of observations. To deal with model structure error and possibly biased observations, a global and a local weight variant of the Particle Filter were tested. The variant to be preferred depends on the level of confidence that is attributed to the observations or to the model. This study also highlighted the complementarity of remote sensing derived and in-situ data sets. An accurate binary flood map represents an invaluable product for different end users. However, deriving from this binary map additional hydraulic information, such as water elevations, is a way of enhancing the value of the product itself. The derived data can be assimilated into hydraulic models that will fill the gaps where, for technical reasons, Earth Observation data cannot provide information, also enabling a more accurate and reliable prediction of flooded areas.
Die Arbeit untersucht das Potential kleiner unbemannter Luftfahrtsysteme (UAS) in Landwirtschaft und Archäologie. Der Begriff UAS beinhaltet dabei: Fluggerät, Antriebsmechanismus, Sensorik, Bodenstation, Kommunikationsmittel zwischen Bodenstation und Fluggerät und weiteres Equipment. Aufgrund ihrer Flexibilität, fanden UAS seit der Jahrtausendwende eine blühende Entwicklung. Um die wachsende Weltbevölkerung zu ernähren, muss die landwirtschaftliche Produktion sensibel und nachhaltig intensiviert werden, um Nahrungssicherheit für alle zu gewährleisten und weitere Boden- und Landdegradation zu vermeiden. Präzisionslandwirtschaft umfasst technologische Verbesserungen hin zur effizienteren und weniger schädlichen landwirtschaftlichen Praxis. Hierbei ist die Verfügung über zeitnahe, leicht zugängliche hoch aufgelöste räumliche Daten eine Voraussetzung für die Nahrungsmittelproduktion. UAS schließen hier die Lücke zwischen Bodendaten und teuren bemannten Luftfahrtsysteme und selteneren Satellitenbildern. Die Vorteile der UAS-Daten liegen in der ad-hoc Akquisition großmaßstäbiger Fernerkundungsdaten, den geringeren Kosten gegenüber der bemannten Systeme und einer relativen Wetterunabhängigkeit, da auch unter Wolken geflogen werden kann. Den größten Anteil innerhalb der UAS stellen die Mini-UAS (Abfluggewicht von 5kg) und dabei vertikale Start- und Landesysteme. Diese können über Untersuchungsgebieten schweben, sind dadurch jedoch langsamer und eher geeignet für kleinere Flächen. Flugregularien und die Integration in den bemannten Luftraum werden derzeit europaweit harmonisiert und in den Mitgliedstaaten umgesetzt. Die Hauptziele dieser Arbeit lagen in der Evaluierung wie Schlüsselparametern landwirtschaftlicher Nutzpflanzen (Chlorophyll-, Stickstoffgehalt, Erntemenge, sonnendinduzierter Chlorophyll-Fluoreszenz) mittels UAS abgeleitet und wie UAS-Daten für archäologische Aufklärung genutzt werden können. Dazu wurde ein Quadrokopter (md4-1000, microdrones GmbH) mit einer digitalen Spiegelreflexkamera, einem Multispektralsensor (MiniMCA-6, Tetracam Inc.) und einer Thermalkamera (UCM, Zeiss) ausgestattet. Eine Sensitivitätsanalyse führte zur Ableitung geeigneter Wellenlängenbereiche und untersuchte bidirektionale und Flughöheneffekte auf das Multispektralsignal. Die Studie beschreibt außerdem die Vorgehensweise bei Bildaufnahme und Vorprozessierung mit besonderem Schwerpunkt auf die Multispektralkamera (530-900 nm). Die Vorprozessierung beinhaltet die Korrektur von Sensorfehlern (Linsenverzeichnung, Vignettierung, Kanalkalibrierung), die radiometrische Kalibrierung über eine empirische Korrektur mit Hilfe von Referenzspektren, Atmosphärenkorrektur und schließlich die geometrische Verarbeitung unter Verwendung von Structure from Motion Programme zur Generierung von Punktwolkenmodellen bis hin zum digitalen Orthophotomosaik und Höhenmodell in Zentimeterauflösung. In einer Weinbergsstudie (2011, 2012) wurden geeignete Beobachtungswinkel für die Untersuchung des Einflusses von Bodenbearbeitungsstrategien auf das Multispektralsignal evaluiert. Schrägichtaufnahmen von 45-° Beobachtungswinkel gegenüber Nadir waren am besten geeignet zur Ableitung pflanzenphysiolgischer Parameter und multispektraler Unterscheidung von Bodenbearbeitungstypen. So konnten Chlorophyll-Gehalte über Regressionsanalysen über mehrere saisonale Aufnahmen mit einem kreuzvalidierten R-² von 0.65, Stickstoffgehaltsindex von 0.76 (2012) und Ernte mit 0.84 (2011) und für verschiedene Zeitpunkte nach der Blüte (0.87) und während der Reifephase (0.73) ermittelt werden. Desweiteren wurde die (Fs) in einem Stickstoff-Düngung-Experiment bei Zuckerrüben von Multispektral-, Indizes und Thermaldaten untersucht (HyFlex-Kampagne 2012). Zuckerrübenvarietäten konnten spektral und thermal unterschieden werden, die Fluoreszenzindizes waren wetterbedingt, weniger erfolgreich. Außerdem konnte der Tagesgang der Fs trotz instabiler Einstrahlungsverhältnisse am Morgen abgeleitet werden. Die Werte waren jedoch gegenüber Bodenmessungen um ein Vielfaches erhöht. Archäologische Fernerkundung durch UAS wird bereits seit Jahren (z.B. mit Fesselballons) durchgeführt. Die Mustererkennung profitiert von der spektralen Ausdehnung vom menschlichen Auge hin zu multispektralen, neuerdings auch hyperspektralen Sensoren. Studien in Los Bañales, Spanien, zeigten die Möglichkeiten des Informationsgewinns durch Bildverarbeitung von UAS-Daten: vermutliche historische Siedlungsmuster konnten durch Landoberflächenklassifikation von Multispektraldaten mittels Support Vector Machines und Bestandsmusterdetektion beschrieben werden. Um qualitative hochwertige, hochaufgelöste UAS-Daten zu erhalten, sollten die Daten mit hoher Überlappung (80%) und auch Schrägsicht akquiriert und ggf. durch Referenzmessungen zur radiometrischen Kalibrierung und GPS-Messungen für geometrische Referenzierung ergänzt werden.
Diese Untersuchungen beinhalten eine Diskussion von Hintergründen, Konzepten und Herausforderungen der aktuellen Qualitätsdiskussion im tertiären Tourismusbildungs-system des südlichen Afrikas. Dabei werden Fragen wie: "Welche Aspekte haben in diesen Ländern zu einer verstärkten Fokussierung auf Qualität geführt?", "Inwieweit lassen sich Erkenntnisse zu Qualitätsentwicklungen aus westlichen Industrienationen auf afrikanische Länder wie z.B. Namibia übertragen?", als auch "Welche Qualitätskriterien werden in der tertiären namibischen Tourismusbildungsinstitutionen als wichtig erachtet?" diskutiert. In diesen Untersuchungen wird diskursiv aufgezeigt, dass sich in vielen Ländern des südlichen Afrikas aufgrund rechtlicher Rahmenbedingungen in der tertiären Tourismus-bildung unterschiedliche Qualitätsansätze etablieren konnten. Eine fundierte Analyse der stark wachsenden Tourismusdestination Namibia als ausgewählte Fallstudie dient dabei als Basis zur Erarbeitung eines spezifischen Qualitätsinstruments. Neben einer Analyse der bestehende Situation versuchen diese vorliegenden Untersuchungen, einen konstruktiven Beitrag zur Qualtätsentwicklung in der namibischen tertiären Tourismusbildung zu liefern. So steht denn auch als Ziel die Erarbeitung eines namibiaspezifischen Qualitätsinstrumentes im Mittelpunkt des Interesses. Zu dessen Entwicklung wird als zentrale Methode eine angepasste Form des Delphi-Verfahrens angewendet, bei welchem eine breite Anzahl relevanter Stakeholder der namibischen tertiären Tourismusbildung eingebunden ist.
Die zukünftige Landwirtschaft steht vor großen Herausforderungen: Zum einen sollen mit knapper werdenden Ressource wie Wasser und Boden mehr Menschen ernährt, die Wirtschaftlichkeit gesteigert und Pflanzen zur Energiegewinnung sowie für die Industrie erzeugt werden. Zum anderen sollen Umweltbelastungen deutlich verringert werden, damit die Landwirtschaft nicht ihre eigene Grundlage zerstört und Anpassungsstrategien für das zukünftige Klima gefunden werden. Die Erstellung eines Modells, mit deren Hilfe die Auswirkungen von Klimavariabilität, Standortbedingung, verschiedenartiger Kultivierung, Umwelteinflüsse und nachhaltigem Wirtschaften auf das Pflanzenwachstum simuliert werden können, also eine ökonomisch-ökologischen Bewertung vorgenommen werden kann, ist daher das Hauptziel vorliegender Dissertation. Zur Erlangung dieses Ziels sollte ein ökologisches (STICS) und ein ökonomische Modell (Produktionsfunktion) miteinander gekoppelt werden. Eine Sensitivitätsanalyse des Pflanzenwachstumsmodells STICS verdeutlicht, dass dieses Modell geeignet ist den Einfluss unterschiedlicher Bewirtschaftungsmethoden und Klimakenngrößen auf das Pflanzenwachstum bzw. den Ertrag sowie die Bodenfruchtbarkeit, z.B. über die Nitratauswaschung, realitätsnah abzubilden. Die Voraussetzung dafür ergibt sich auch aus dem Verwenden des statistischen Klimamodells WETTREG 2010, welches hochaufgelöste Klimadaten, die in Anzahl der Klimaelemente und zeitlicher Auflösung der Messreihen von Klimastationen gleichen, liefert. Die natürliche Variabilität des Klimas wird damit gut widergeben und Aussagen über zukünftiges Wachstum und Pflanzenentwicklung sowie Auswirkungen von Extremwetterlagen berechenbar. Die Ergebnisse des Pflanzenwachstumsmodells dienen als Grundlage einer Produktionsfunktion des Cobb-Douglas-Typs. Der graphische Zusammenhang, die Verteilung der Produktionsfaktoren und die Regressionsergebnisse zeigen allerdings, dass eine einfache lineare Regression zur Bestimmung der Funktion auf Mittel- und Summenwertbasis zu schlechten Ergebnissen, insbesondere hinsichtlich der Anpassung an Extremereignisse, führt. Die Klimafaktoren Niederschlag bzw. Wasser und Temperatur, aber auch die Nachhaltigkeit im Sinne der Erhaltung der Bodenfruchtbarkeit können in der Funktion nicht eindeutig bestimmt werden. Anhand von Simulationen mit künstlichen Klimadaten, d.h. stetig steigenden Temperaturen und immer gleicher Verteilung des Niederschlags (gute und schlechte Verteilung), konnten die Fehlerquellen herauskristallisiert und die fehlenden Faktoren in der Produktionsfunktion gefunden werden. Ein Lösungsansatz ist das Einbeziehen von Stressindizes für Wasser- und Stickstoffmangel, welche die zeitliche Verteilung von Niederschlag und Temperatur bzw. deren Auswirkungen auf das Pflanzenwachstum darstellen. Zudem ist über den Stickstoffstress die Verfügbarkeit von Nitrat für die Pflanze ableitbar und kann in der Produktionsfunktion miteinbezogen werden. Die Ergebnisse der Regression mit Berücksichtigung der Wasser- und Stickstoffstressindizes zeigen deutlich bessere Ergebnisse. Die Variabilität kann deutlich erhöht und die zeitliche Verteilung von Niederschlag und Temperatur sowie die Bodenfruchtbarkeit berücksichtigt werden. Allerdings ist die Anpassung gerade in den extremen Bereichen (überdurchschnittlich niedrige oder hohe Ernten) zu systematisch. Das Pflanzenwachstumsmodell wird demnach nicht durch eine einfache Produktionsfunktion ersetzbar, da es wichtige Informationen zu Ertrag, Einfluss der Klimavariabilität auf den Ertrag, Umwelteinflüssen, wie Stickstoffaustrag, oder Stressindizes liefert. Vielmehr wird erst durch Verwendung des Pflanzenwachstumsmodells die direkte Abhängigkeit zwischen Bewirtschaftung, Ertrag und Nachhaltigkeit im Sinne der Erhaltung der Bodenfruchtbarkeit bzw. der Vermeidung hoher Nitratauswaschung deutlich. Eine nicht angepasste Bewirtschaftung, z.B. Überdüngung und/oder hohe Bewässerung, führt sowohl zu mehr Nitrataustrag als auch zu niedrigerem Ertrag sowie höheren Kosten. Deutlich wird die Unersetzbarkeit des Pflanzenwachstumsmodells durch eine einfache Kostenanalyse. Hierbei konnte die Unrentabilität sehr intensiver Bewirtschaftung und Rentabilität einer zusätzlichen Bewässerung nur unter Berücksichtigung der Nitratauswaschung und klimatischer Gegebenheiten herausgestellt werden. Erst durch das Zusammenspiel von ökologischem und ökonomischem Modell werden die Auswirkungen von Klimavariabilität, Standortbedingung, verschiedenartiger Kultivierung und nachhaltigem Wirtschaften auf das Pflanzenwachstum berechenbar. Eine ökologisch-ökonomische Bewertung, wie die Beurteilung von Auswirkungen bestimmter Klimaelemente (Wasser, Temperatur) auf Pflanzenwachstum und Ertrag, Adaptionsstrategien, effizienter und ressourcenschonender Bewirtschaftung, Rentabilität, Umweltbelastung oder Nachhaltigkeit wird damit letztendlich möglich.
Evapotranspiration (ET) is one of the most important variables in hydrological studies. In the ET process, energy exchange and water transfer are involved. ET consists of transpiration and evaporation. The amount of plants transpiration dominates in ET. Especially in the forest regions, the ratio of transpiration to ET is in general 80-90 %. Meteorological variables, vegetation properties, precipitation and soil moisture are critical influence factors for ET generation. The study area is located in the forest area of Nahe catchment (Rhineland-Palatinate, Germany). The Nahe catchment is highly wooded. About 54.6 % of this area is covered by forest, with deciduous forest and coniferous forest are two primary types. A hydrological model, WaSiM-ETH, was employed for a long-term simulation from 1971-2003 in the Nahe catchment. In WaSiM-ETH, the potential evapotranspiration (ETP) was firstly calculated by the Penman-Monteith equation, and subsequently reduced according to the soil water content to obtain the actual evapotranspiration (ETA). The Penman-Monteith equation has been widely used and recommended for ETP estimation. The difficulties in applying this equation are the high demand of ground-measured meteorological data and the determination of surface resistance. A method combined remote sensing images with ground-measured meteorological data was also used to retrieve the ETA. This method is based on the surface properties such as surface albedo, fractional vegetation cover (FVC) and land surface temperature (LST) to obtain the latent heat flux (LE, corresponding to ETA) through the surface energy balance equation. LST is a critical variable for surface energy components estimation. It was retrieved from the TM/ETM+ thermal infrared (TIR) band. Due to the high-quality and cloudy-free requirements for TM/ETM+ data selection as well as the overlapping cycle of TM/ETM+ sensor is 16 days, images on only five dates are available during 1971-2003 (model ran) " May 15, 2000, July 05, 2001, July 19, August 04 and September 21 in 2003. It is found that the climate conditions of 2000, 2001 and 2003 are wet, medium wet and dry, respectively. Therefore, the remote sensing-retrieved observations are noncontinuous in a limited number over time but contain multiple climate conditions. Aerodynamic resistance and surface resistance are two most important parameters in the Penman-Monteith equation. However, for forest area, the aerodynamic resistance is calculated by a function of wind speed in the model. Since transpiration and evaporation are separately calculated by the Penman-Monteith equation in the model, the surface resistance was divided into canopy surface resistance rsc and soil surface resistance rse. rsc is related to the plants transpiration and rse is related to the bare soil evaporation. The interception evaporation was not taken into account due to its negligible contribution to ET rate under a dry-canopy (no rainfall) condition. Based on the remote sensing-retrieved observations, rsc and rse were calibrated in the WaSiM-ETH model for both forest types: for deciduous forest, rsc = 150 sm−1, rse = 250 sm−1; for coniferous forest, rsc = 300 sm−1, rse = 650 sm−1. We also carried out sensitivity analysis on rsc and rse. The appropriate value ranges of rsc and rse were determined as (annual maximum): for deciduous forest, [100,225] sm−1 for rsc and [50,450] sm−1 for rse; for coniferous forest, [225,375] sm−1 for rsc and [350,1200] sm−1 for rse. Due to the features of the observations that are in a limited number but contain multiple climate conditions, the statistical indices for model performance evaluation are required to be sensitive to extreme values. In this study, boxplots were found to well exhibit the model performance at both spatial and temporal scale. Nush-Sutcliffe efficiency (NSE), RMSE-observations standard deviation ratio (RSR), percent bias (PBIAS), mean bias error (MBE), mean variance of error distribution (S2d), index of agreement (d), root mean square error (RMSE) were found as appropriate statistical indices to provide additional evaluation information to the boxplots. The model performance can be judged as satisfactory if NSE > 0.5, RSR ≤ 0.7, PBIAS < -±12, MBE < -±0.45, S2d < 1.11, d > 0.79, RMSE < 0.97. rsc played a more important role than rse in ETP and ETA estimation by the Penman-Monteith equation, which is attributed to the fact that transpiration dominates in ET. The ETP estimation was found the most correlated to the relative humidity (RH), followed by air temperature (T), relative sunshine duration (SSD) and wind speed (WS). Under wet or medium wet climate conditions, ETA estimation was found the most correlated to T, followed by RH, SSD and WS. Under a water-stress condition, there were very small correlations between ETA and each meteorological variable.
Climate change and habitat fragmentation modify the natural habitat of many wetland biota and lead to new compositions of biodiversity in these ecosystems. While the direct effects of climate are often well known, indirect effects due to biotic interactions remain poorly understood. The water meadow grasshopper, Chorthippus montanus, is a univoltine habitat specialist, which is adapted to permanently moist habitats. Land use change and drainage led to highly fragmented populations of this generally flightless species. In large parts of the Palaearctic Ch. montanus occurs sympatrically with its widespread congener, the meadow grasshopper Chorthippus parallelus. Due to their close relationship and their similar songs, hybridization is likely to occur in syntopic populations. Such a species pair of a habitat specialist and a habitat generalist represents an ideal model system to examine the role of ongoing climate change and an accumulation of extreme climatic events on the life history strategies, population dynamics and inter-specific interactions. In Chapter I a laboratory experiment was conducted to identify the impact of environmental factors on intra-specific life-history traits of Ch. montanus. Like other Orthoptera species, Ch. montanus follows a converse temperature size rule. In line with the dimorphic niche hypothesis, which states that sexual size dimorphism evolved in response to the different sexual reproductive roles, both sexes showed different responses to increasing density at lower temperatures. Males attained smaller body sizes at high densities, whereas females had a prolonged development time. This is the first evidence for a sex-specific phenotypic plasticity in Ch. montanus. Females benefit from the prolonged development as their reproductive success depends on the size and number of egg clutches they may produce. By contrast, the reproductive success of males depends on the chance to fertilize virgin females, which increases with faster development. This may become a disadvantage for Ch. montanus as an intraspecific phenology shift may increase hybridization risk with the sibling species. Despite the widespread assumption that hybridization between two sympatric species is rare due to complete reproductive barriers, the genetic analyses of 16 populations (Chapter II) provided evidence for wide prevalence of hybridization between both species in the wild. As no complete admixture was found in the examined population, it is assumed that hybridization only occurs in ecotones between wetlands and drier parts. Reproductive barriers (habitat isolation, behavior, phenology) seem to prevent the genetic swamping of Ch. montanus populations. Although a behavioral experiment showed that mate choice presents an important reproductive barrier between both species, the experiment also revealed that reproductive barriers could be altered by environmental change (e.g. increasing heterospecific frequency). Chapter III analyzes the impact of extreme climatic events on population dynamics and interspecific hybridization. A mark-recapture analysis combined with weather records over five years provides evidence that the embryonic development in Ch. montanus is vulnerable to extreme climatic events. Strong population declines in Ch. montanus lead to a disequilibrium between Ch. montanus and Ch. parallelus populations and increases the risk of hybridization. The highest hybridization risk was found in the first weeks of a season, when both species had an overlapping phenology. Furthermore, hybrids were generally localized at the edge of the Ch. montanus distribution with higher heterospecific encounter probabilities. The hybridization rate reached up to 19.6%. The genetic analyses in Chapter II and III show that hybridization differentially affects specialists and generalists. While generalists may benefit from hybridization by an increasing genetic diversity, such a positive correlation was not found for Ch. montanus. The results underline the importance of reproductive barriers for the co-existence of these sympatric species. However, climate change and other anthropogenic disturbances alter reproductive barriers and promote hybridization, which may threaten small populations by genetic displacement. As anthropogenic hybridization is recognized as a major threat to biodiversity, it should be considered in environmental law and policy. In Chapter IV the role of hybrids and hybridization in three levels of law and the historical backgrounds of hybrids becoming a part of legal instruments is analyzed. Due to legal uncertainties and the complexity of this topic a legal assessment of hybrids is challenging and argues for species-specific approaches. Nonetheless, existing legal norms provide a suitable basis, but need to be specified. Finally, this chapter discusses different opportunities for the management of hybrids and hybridization in a conservation perspective and their necessity.
In Mitteleuropa steigt der Anteil befestigter und damit zumeist undurchlässiger Oberflächen durch Flächenerschließung und Urbanisierung stetig. Die Verdichtung und Befestigung natürlicher Oberflächen und das einhergehende Sammeln und Abführen des Niederschlagswassers vergrößert nicht nur den Oberflächenabfluss, sondern reduziert auch die Grundwasserneubildung. Das an Regenwettertagen anfallende Oberflächenwasser von befestigten Flächen wird zwar in den Kanalnetzen gesammelt, kann jedoch nicht vollständig zur Kläranlage abgeführt werden. Das überschüssige Wasser im Kanalsystem wird dann an neuralgischen Punkten dem nächstgelegenen Gewässer zugeleitet. Auf diese Weise gelangt eine große Bandbreite an Substanzen in die Gewässer und beeinflusst den natürlichen Stoffhaushalt. Häufig sind kleine und mesoskalige Gewässersysteme in Ballungsräumen mit einem hohen Versiegelungsgrad betroffen. Neben der schadlosen Ableitung des Ereignisabflusses tritt im Zuge der Umsetzung der Europäischen Wasserrahmenrichtlinie (WRRL, 2000/60/EG) das Ziel des guten ökologischen und chemischen Zustandes des Gewässers in den Vordergrund. Mit Blick auf die Reduktion von angereichertem und vermischtem Niederschlagswasser in den Gewässern ist das Niederschlagswassermanagement das wichtigste Instrument. Die vorliegende Arbeit betrachtet beispielhaft zwei mesoskalige, urban geprägte Gewässer in der Großregion Luxemburg-Trier, die luxemburgische Mess und den deutschen Olewiger Bach. Dabei werden ebenfalls zwei unmittelbar durch Trenn- und Mischwasserkanalisation beeinflusste Teileinzugsgebiete des Olewiger Bachs untersucht. Ziel ist es, die Auswirkungen der urbanen Einleitungen an Regenwettertagen in den verschiedenen Phasen der Hochwasserwelle (Anstieg, Plateau und Rezessionsast) zu analysieren. Ein Schwerpunkt wird dabei auf den Nachweis anthropogener Spurenstoffe sowie wiederkehrende Strukturen im Wellenverlauf gelegt. Die Untersuchung der urban geprägten Bäche erfolgt mit zeitlich hochaufgelösten Einzelstichproben. Im Gegensatz zur gängigen Beprobung mittels volumen-proportionaler Mischproben kann mit diesem Ansatz der Einfluss der anthropogenen Systeme auf Hydro- und Chemographen im Hochwasserereignis analysiert werden. Auch Stoßbelastungen werden besser erfasst und abgebildet. In allen Untersuchungsgebieten werden in jeder Hochwasserwelle anthropogene Spurenstoffe nachgewiesen. Die Konzentrationen variieren sowohl während eines Hochwasserereignisses, als auch im Vergleich zwischen Ereignissen erheblich. Die nachgewiesenen Maximalkonzentrationen in Mess und Olewiger Bach übersteigen die mittleren Gehalte der einzelnen Spurenstoffe um das zwei bis 30-fache. Einige Pestizidgehalte in der Mess überschreiten zudem zeitweise die Grenzwerte der Umweltqualitätsnormen Richtlinie (UQN, 2008/105/EG). Die größten stofflichen Belastungen in Form maximaler Spurenstoffgehalte treten in der Regel bei mäßigen Niederschlagsereignissen in Kombination mit geringem Basisabfluss im Gewässer auf. Die Gesamtfracht hingegen steigt meist mit der Ereignisfülle. Die hydraulischen und stoffrelevanten Auswirkungen an der Schnittstelle von Kanal und Gewässer lassen sich in vielen urban geprägten Bächen wiederfinden. Diese Einleitungen an Regenwettertagen sind bedeutsam für die Komplexität des Abflussverhaltens sowie die Chemodynamik der betroffenen Vorfluter. Die Ergebnisse zeigen, dass es zukünftig mit Blick auf ein erfolgreiches Einzugsgebietsmanagement notwendig ist, die Niederschlagswasserbewirtschaftung in die Maßnahmenplanung einzubeziehen. Bei urbanen Gewässern muss darauf geachtet werden, dass die Maßnahmen zur Verbesserung des chemischen und ökologischen Zustandes nach der WRRL nicht im Konflikt mit der schadlosen Ableitung des Niederschlagswassers stehen. Vor allem hinsichtlich der stofflichen Dynamik, welche in der Regel mittels volumenproportionaler Mischproben untersucht wird, besteht weiterer Forschungsbedarf.
Amphibien sind weltweit stark bedroht, was neben anderen Gründen auch durch Umweltverschmutzung bedingt scheint, wobei hier oft der vermehrte Einsatz von Agrochemikalien hervorgehoben wird. Obwohl landwirtschaftlich genutzte Gebiete meistens stark anthropogen verändert sind, beherbergen sie dennoch viele Amphibienpopulationen. Diese müssen hier oftmals persistieren, weil ihre ursprünglichen Lebensräume für die Landwirtschaft umgestaltet wurden und werden. Neben direkter Habitatzerstörung und "degradierung sowie mechanischen Bearbeitungsprozessen in der Landwirtschaft kann sich der Einsatz von Agrochemikalien, insbesondere von Pestiziden, stark negativ auf die dortigen Amphibien auswirken. Zwar sind aufgrund mangelnder Datenlage bisher keine kausalen Zusammenhänge zwischen Populationsrückgängen und Pestizideinsätzen nachgewiesen, jedoch können Amphibien über verschiedene direkte und indirekte Wege geschädigt werden. Eine Vielzahl von Studien zeigte bereits unterschiedlichste adverse Effekte auf der Individualebene. In der vorliegenden Arbeit wurden wichtige Fragestellungen zu diesem Themengebiet aufgegriffen. Der potenzielle Einfluss von Pestizideinsätzen auf Amphibien, besonders im Freiland, stellt ein komplexes Arbeitsfeld dar, so dass verschiedene methodische Ansätze angewendet wurden, um auf verschiedene Fragestellungen einzugehen. Im ersten Teil der vorliegenden Arbeit wurden zwei methodisch unterschiedliche Risikobewertungen durchgeführt. Es wurde auf die Fragestellung eingegangen, welche Effekte von glyphosatbasierten Herbiziden, welche weltweit den größten Absatz besitzen, auf Amphibien dokumentiert sind und welche Endpunkte am besten geeignet sind, um adverse Effekte nachzuweisen. Dazu wurde eine systematische Literaturübersicht und Meta-Analyse aller publizierten Studien durchgeführt. In einer zweiten Risikobewertung wurde ein GIS-basierter Ansatz angewendet, um das Expositionsrisiko der Amphibienarten des Anhangs II der europäischen Fauna-Flora-Habitat-Richtlinie (Arten von gemeinschaftlichem Interesse) gegenüber Pestiziden in ihren speziell ausgewiesenen Schutzgebieten abzuschätzen. Im zweiten Teil der vorliegenden Arbeit wurden Laborexperimente mit Embryonen und Larven zweier Anuren-Modellorganismen und einem, amphibientoxikologisch bisher noch nicht untersuchten und häufig angewendeten, Herbizid durchgeführt. Der dritte Teil der vorliegenden Arbeit beinhaltet die Ergebnisse zweier Freilandstudien. Es wurde überprüft, ob Anurenlarven aufgrund der Wahrscheinlichkeit der Ausbildung von Deformationen (was im Labor einen gut studierten Endpunkt darstellt) als Bioindikatoren für die Belastung von Kleingewässern mit Agrochemikalien geeignet sind. In der zweiten Freilandstudie wurde überprüft, ob drei einheimische Amphibienarten Kleinstgewässer meiden, welche mit umweltrelevanten Konzentrationen verschiedener Stoffe kontaminiert wurden. Im rechtswissenschaftlichen Teil der Arbeit wurde darauf eingegangen, wie hoch die unterschiedlichen Umsetzungsstandards der europäischen Wasserrahmenrichtlinie respektive des nationalen Wasserhaushaltsgesetzes in den Ländern bezüglich des Schutzes von Kleingewässern, welche fast alle heimischen Amphibienarten zur Reproduktion benötigen, durch Gewässerrandstreifenschutz ist.
Seit seiner Unabhängigkeit erfreut sich Namibia als Reiseziel weltweit wachsender Beliebtheit, wodurch der Tourismus wirtschaftlich einen hohen Stellenwert hat. Zugleich lebt ein Großteil der Bevölkerung in Armut und ist zumeist noch immer von der Landwirtschaft abhängig. Diese dominiert flächenmäßig, zur Wertschöpfung und zur Entwicklung des Landes vermag sie allerdings nur wenig beizutragen. Kam im ariden Namibia ehemals nur Ranching als Landnutzung in Frage, sehen sich Landbesitzer wegen verschlechterter Rahmenbedingungen heute gezwungen, weitere Einkommensquellen zu erschließen. Naturtourismus ist eine der Alternativen. Ausgerechnet die wirtschaftlichen Schwächen der ländlichen Regionen mit naturnahen Landschaften, geringer anthropogener Überformung und der Abwesenheit von Industrie ermöglichen einzigartige Naturerlebnisse und stellen damit die Grundlage für Naturtourismus dar. Im Fokus der vorliegenden Studie stehen daher die Landnutzungen Ranching und Naturtourismus, die beide auf dem natürlichen Potenzial des Landes basieren und zugleich räumlich um die gleichen Flächen konkurrieren. Ziel ist die Bewertung der Auswirkungen beider Landnutzungen im Vergleich, um somit die für einen Raum am besten geeignete Nutzungsoption zu identifizieren und Verbesserungspotentiale bei der Ausgestaltung der untersuchten Landnutzungen aufzuzeigen. Die Erkenntnisse aus der einschlägigen Fachliteratur legen die Hypothese nahe, dass Naturtourismus im Vergleich zum Ranching die besser geeignete Landnutzung darstellt. Den theoretischen Rahmen zur Identifizierung der besser geeigneten Landnutzung bildet das Nachhaltigkeitskonstrukt, das wie jedes andere Theorem nicht unmittelbar mess- oder beobachtbar, sondern nur indirekt mit Hilfe von Indikatoren operationalisierbar ist. Die Mehrzahl der 34 insgesamt verwendeten Indikatoren entstammt dem Set der Vereinten Nationen. Alle verwendeten Indikatoren fanden Anwendung in einer für diese Arbeit auf Unternehmensebene adaptierten Version. Um den physischen wie humangeographischen Besonderheiten Namibias (Verfügbarkeit von Wasser, Namibia als Entwicklungsland etc.) gerecht zu werden, wurden zusätzliche Indikatoren für den regionalen Kontext der Studie konzipiert. Entsprechend dem Erkenntnisinteresse, unter Nachhaltigkeitsaspekten die am besten geeignete Landnutzung zu identifizieren, wurden anhand eines umfangreichen methodischen Kanons die empirischen Untersuchungen durchgeführt. Ausgangspunkt hierfür waren Erhebungen in Namibia, die in der Etosha-Region unmittelbar südlich der Kommunalgebiete stattfanden. Methodisch kamen dafür vorrangig quantitative Methoden zum Einsatz, wobei standardisierte Fragebögen als primäre Erhebungsinstrumente konzipiert wurden. Diese wurden von Expertengesprächen, Beobachtungen, Kartierungen und Sekundärdatenanalysen flankiert. Die Erkenntnisse aus den Erhebungen erlauben Aussagen für weite Gebiete Namibias mit vergleichbaren Bedingungen. So bestehen - entsprechend der Forschungshypothese - eindeutige Vorteile des Naturtourismus gegenüber dem Ranching hinsichtlich der betrachteten Landnutzungsauswirkungen, womit der Naturtourismus unter Nachhaltigkeitsaspekten die besser geeignete Landnutzung ist. Vor allem im Bereich der Sozialindikatoren überzeugen die Auswirkungen: Soziale Sicherheit, Wohnbedingungen (Elektrizität, Sanitäreinrichtungen, Wasserversorgung etc.), sozio-ökonomische Aufstiegschancen und die Mitarbeiterzufriedenheit sind zugunsten des Naturtourismus zu werten. Auch im Ökonomischen liegen die Vorteile bei dieser Landnutzung, wobei ein Aspekt negativ auffällt: Vor allem in puncto Regionalökonomie besteht im Tourismus Verbesserungsbedarf. Denn sowohl die Angestelltenrekrutierung als auch die Versorgung mit Waren und Dienstleistungen erfolgt mehrheitlich überregional. Dahingehend sind die Auswirkungen des Ranching als vorteilhafter anzusehen. Wie die Erhebungen ferner belegen, nimmt die Bedeutung des ausschließlichen Ranching aufgrund von Rentabilitätsproblemen auf kommerziellem Farmland sukzessive ab, stattdessen weisen Ländereien zumeist mehr als nur ein wirtschaftliches Standbein auf. Daher ist hinsichtlich der Landreform zu kritisieren, dass Neufarmer - wenn überhaupt - nur auf das Ranching vorbereitet werden. Wie die Erhebungen zeigen: eine wenig zeitgemäße Landnutzungsstrategie. Ein im Rahmen der Arbeit entwickeltes und ihr beiliegendes Farmrentabilitätstool verdeutlicht auf Basis einer Vielzahl vom Nutzer veränderlicher Einstellungen, wie schwierig die rentable Bewirtschaftung von Ranches heute ist.
Gerade in der heutigen Zeit im Spannungsfeld zwischen der globalen Klimaveränderung und einer stetig wachsenden Weltbevölkerung wird es immer wichtiger, die Oberflächenprozesse quantifizieren zu können. In fünf Untersuchungsgebieten in Deutschland, Luxemburg und Spanien wurden experimentelle Geländemessmethoden zur Quantifizierung von Oberflächenabflussbildung und Bodenerosion eingesetzt. Je nach geographischer Lage der Testgebiete sind unterschiedliche Einflussgrößen wichtig für die Abflussreaktion und den Bodenabtrag. Jahreszeit und Vorfeuchte des Bodens können zu verschiedenen Systemzuständen führen und damit die Oberflächenabflussbildungs- und Bodenerosionsraten beeinflussen. Die Verwendung von experimentellen Messmethoden (Beregnungen) ermöglicht es uns, die Reaktion derselben Flächen bei unterschiedlichen Ausgangsbedingungen auf ein und dasselbe (simulierte) Niederschlagsereignis zu messen. Durch die Kombination mit Geländekartierungen und GIS-Auswertungen wird eine qualitative Übertragung der punktuellen Messergebnisse auf die Fläche ermöglicht. In den beiden Untersuchungsgebieten in Deutschland wurden häufig hydrophobe Eigenschaften der Böden festgestellt. Durch diese Hydrophobizität dringt ein Teil des Niederschlagswassers gar nicht bis zum Mineralboden durch, sondern wird in der Streuschicht gehalten oder fließt innerhalb der Streuschicht ab. Dies führt zu einer Erhöhung der Oberflächenabflussraten. Auch der Einfluss der Landnutzung auf die Intensität der Oberflächenprozesse konnte für die Testgebiete in Deutschland und Luxemburg nachgewiesen werden. Auf Wegen und Fahrspuren, sowie auf Ackerflächen wurden die höchsten Oberflächenabfluss- und Bodenabtragsraten gemessen. Aber auch hydrophobe Waldstandorte zeigten hohe Oberflächenabflussraten, allerdings keinen nennenswerten Bodenabtrag, weil die Humusauflage die Bodenoberfläche schützt. Die im Rahmen dieser Arbeit verwendeten Rinnenerosionsversuche ermöglichen es, die Effizienz natürlicher Erosionsrinnen zu messen und zu vergleichen. Durch die Verwendung von beiden Methoden, Beregnung und Rinnenerosionsversuch, können die im Rinneneinzugsgebiet gemessenen Abtragsraten und -mengen mit den Abtragswerten der Erosionsrinne selbst verglichen werden. Insgesamt kann festgestellt werden, dass die Ergebnisse der experimentellen Messungen in Kombination mit einer Kartierung der aktuellen Geomorphodynamik sowie der Auswertung großmaßstäbiger Luftbilder, eine Quantifizierung der aktuellen Prozessdynamik ermöglichen.
Evaluation of desalination techniques for treating the brackish water of Olushandja sub-basin
(2014)
The groundwater of Olushandja sub-basin as part of Cuvelai basin in central-northern Namibia is saline with TDS content varying between 4,000ppm to 90,000ppm. Based on climatic conditions, this region can be classified as a semi-arid to arid region with an annual rainfall during summer time varying between 200mm to 500mm. The mean annual evaporation potential is about 2,800mm, which is much higher than the annual rainfall. The southern block of this sub-basin is of low population density. It has not been covered by the supply networks for electricity and water. Therefore, the inhabitants are forced to use the untreated groundwater from the hand-dug wells for their daily purposes. This groundwater is not safe for human consumption and therefore needs to be desalinated for that purpose. The goal of this thesis has been to select a suitable desalination technology for that region. The technology to be selected is from those which use renewable energy sources, which have capacity of production from 10m3 to 100m3 per day, which are simple and robust against existing harsh environmental conditions and have already been implemented successfully in some place. Based on these criteria, the technologies which emerged from the literature are: multistage flashing (MSF), multi effect distillation (MED), multi effect humidification (MEH), membrane distillation (MD), reverse osmosis (RO) and electro dialysis reversed (ED). Out of these technologies, RO &amp; ED are based on membrane techniques and MSF, MED &amp; MEH use thermal processes whereas MD technology uses a hybrid process of thermal and membrane techniques for desalinating the water. For evaluation of technical performance, environmental sustainability and financial feasibility of the above mentioned desalination techniques, the following criteria have been used: gained output ratio, recovery rate, pretreatment requirements, sensitivity to feed water quality, post treatment, operating temperature, operating pressure, scaling and fouling potential, corrosion susceptibility, brine disposal, prime energy requirement, mechanical and electrical power output, heat energy, running costs and water generation costs. The data regarding the performance standards of the successfully implemented desalination techniques have been obtained from the literature of performance benchmarks. The Utility Value Analysis Tool of the Rafter-Group of Multi-Criteria Analysis (MCA) has been used for measuring the performance score of a technology. To perform the utility analysis, an evaluation matrix has to be constructed through the following procedures: selection of the decision options (or assessment groups), identification of the evaluation criteria, measurement of performance and transformation of the units. Then the criteria under the objective groups are assigned a level of importance for determining their weights.To perform the sensitivity analysis the level of importance of a criterion is changed by giving more weight or rate to the assessment group of interest (or study). Within the assessment group of interests, the best performing desalination technology has been selected according to the outcome of the sensitivity analysis. The important conclusions of this study are the identification of the capabilities of thermal and membrane based small scale desalination technologies and their applicability based on site specific needs. The sensitivity analysis indicates that the MED technology is the most environmental friendly technology that uses minimum energy and produces least concentrated brine for disposal. The ED technology has emerged to be technically suitable, but it is only applicable when source water has less than 12.000 ppm salt content. The MSF process has favorable thermal efficiency and it is insensitive to feed water quality. Its major drawbacks are energy needs and post treatment requirements that affected its net score. The MD and MSF process have scored the lowest for the technical and economic assessment groups and are concluded not to be suitable for Olushandja sub-basin. The MEH process is cheaper and technically more appropriate than the MED in the two assessment groups. Based on the above mentioned evaluations, this study concluded that Olushandja sub-basin needs more data collection on the geological profile, distinctive identification of aquifers and evidence on the interaction between the aquifers. From the best available data obtained, it could not be established with certainty where the highest level of salinity can be found in the profile, or how the geological profile is layered. More data on ground water quality for spatial overview of the trends and pattern of the sub-basin will be useful in drawing better conclusion on the specific desalination technology needed which is suitable for a specified village or living space.
Dans une perspective du développement touristique durable du territoire d'Agadir / région Souss Massa Draa (Maroc), qu'est un territoire touristique offrant un produit balnéaire diversifié et généralement consolidé par une offre en matière du tourisme rural. Ce travail de recherche vise la mise en œuvre d"un management environnemental adapté à la situation locale, conforme aux normes internationales et à l'apporté des entreprises touristiques y opérant. Ainsi, la réalisation d"un diagnostic environnemental est une étape fondamentale et se fera à l'aide de quatre différents outils d'enquête (Observation, guide d"entretien, grille d'évaluation et questionnaires). Cependant, il va falloir choisir les cas leadeurs en la matière - s'ils existent - pour les présenter aux managers afin de les sensibiliser concrètement à la nécessité d'adopter un management environnemental au sein de leurs structures et de prendre ces cas sélectionnés comme modèles. Cette étude a permis de tirer les conclusions suivantes : - Une maturité du territoire d'étude de la région SMD, lui permettra de s"inscrire dans une démarche de développement touristique durable à travers l'adoption d'un management environnemental en passant par l"assurance de la qualité des services. - La qualité des services est satisfaisante au sein des EHT étudiés et relevant du milieu urbain. En revanche, en milieu rural elle à rehausser en soulignant qu'ils sont dotés d'un paysage régional remarquable et exceptionnel. - Les responsables interviewés n'ont cité que les impacts positifs de leurs activités sur l"environnement (Création d'emplois, promotion de l'économie et de la culture locales, financement des événements à caractère social...). - Une faible existence du Management environnemental au sein des EHT étudiés (4,16 % l'échantillonnage dispose d'une politique environnementale). Ainsi que à l'issue de l'évaluation deux cas ont été proposés comme modèles en la matière. - La charte et le Manuel comme de deux solutions locales visant la promotion du Management Environnemental. Actuellement, la charte a été mise en Å“uvre en milieu rural dans une perspective de la généraliser sur la totalité du territoire régional voire même national. Enfin, cette étude a apporté une réponse à la problématique et aux hypothèses de recherche et a permis par la même occasion de proposer des outils visant l'instauration et/ou la promotion du management environnemental à l'échelle régionale.
A sustainable development of forests and their ecosystem services requires the monitoring of the forests" state and changes as well as the prediction of their future development. To achieve the latter, eco-physiological forest growth models are usually applied. These models require calibration and validation with forestry reference data. This data includes forest structural parameters such as tree height or stem diameter which are easy to measure and can be used to estimate the core model parameters, i.e. the tree- biomass pools. The methods traditionally applied to derive the structural parameters are mainly manual and time-consuming. Hence, the in situ data acquisition is inefficient and limited in its ability to capture the vertical and horizontal variability in stand structure. Ground-based remote sensing bears the potential to overcome the limitations of the traditional methods. As they can be automated, ground-based remote sensing methods allow a much more efficient data acquisition and a larger spatial coverage. They are also able to capture forest structure in its three dimensions. Nevertheless, at present further research is required, in particular with respect to the practical integration of ground-based remote sensing data into forest growth models as well as regarding factors influencing the structural parameter retrieval from this data. Therefore, the goal of this PhD thesis was to investigate the influencing factors of two ground-based remote sensing methods (terrestrial laser scanning and hemispherical photography), which have not or only scarcely been studied to date. In addition, the use of forest structural parameters derived from these methods for the calibration of a forest growth model was assessed. Both goals were achieved. The results of this thesis could contribute significantly to a comprehensive assessment of ground-based remote sensing and its potential to derive the forest structural parameters. However, the use of these methods to calibrate forest growth models proved to be limited. An optimized data sampling design is expected to eliminate the major limitations, though. Furthermore, the combination of ground-based, airborne, and satellite remote sensing sensors was suggested to provide an optimized framework for the general integration of remotely sensed data into forest growth models. This combination of remote sensing observations at different scales will contribute greatly to a modern forest management with the purpose of warranting a sustainable forest development even under growing economic and ecological pressures.
Das übergeordnete Ziel dieser Dissertation ist die Untersuchung der aktuellen Geomorphodynamik in den Gullyeinzugsgebieten der Souss-Ebene, Südmarokko. Eine Sonderstellung nehmen besonders in der Taroudant-Region die durch land-levelling Maßnahmen beeinflussten Flächen ein. Anhand von experimentellen Feldmethoden werden verschiedene Prozesse der Bodenerosion aufgenommen und bewertet. Mittels Luftbildmonitoring mit einer Drohne erfolgt eine Analyse des Gullywachstums. Durch eine Zusammenführung der Methodenkombination kann ein Gesamtbild der aktuellen geomorphologischen Prozessdynamik im Souss erstellt werden. Mit Zerfall der Zuckerindustrie Ende des 17. Jahrhunderts setzt im Souss Becken aufgrund der nahezu vollständigen Abholzung der Arganwälder die lineare Bodenerosion ein. Mit der Transformation von traditioneller Landwirtschaft zu modernen Zitrusfrucht- und Gemüseplantagen, beginnt Anfang der 1960er Jahre ein sehr dynamischer Landnutzungswandel. Die Expansion der Anbauflächen, die von Wadi- und Gullysystemen tief zerschnittenen sind, wird durch Planierungsmaßnahmen vorangetrieben. Auf den planierten Flächen entwickeln sich durch die Verdichtung des Bodens, das Entfernen von Vegetationsbedeckung sowie Krustenbildung auf dem schluffig-lehmigen Substrat bei Starkniederschlagsereignissen zumeist erneut Gullys. Die rasche lineare Zerschneidung bedroht weitere Anbauflächen. Eine nachhaltige Entwicklung auf diesen Flächen ist daher fraglich. Durch starke Verschlämmung nach Niederschlägen bilden sich auf den planierten Flächen sehr schnell physikalische Bodenkrusten aus. Ihre Mikromorphologie ist aufgrund der Belastungen mit schwerem Gerät sowie mehrfacher Erosions- und Akkumulationszyklen durch Plattenstruktur und Vesikel geprägt, wodurch die Infiltrationskapazität des Bodens verringert wird. Diese Auswirkungen können durch Messungen mit dem Einringinfiltrometer bestätigt werden. Sie zeigen auf ungestörten Flächen durchschnittlich eine 2,6-fach höhere Infiltrationsrate als auf planierten Flächen. Durch eine Inventarisierung der Bodeneigenschaften und Oberflächencharakteristika kann ihre signifikante Veränderung nach Planierungsmaßnahmen identifiziert werden. So zeigen planierte Flächen hohe Anteile an Bodenverkrustung und wenig Vegetationsbedeckung auf. Ungestörte Flächen sind dagegen weniger verkrustet und stärker mit Vegetation bedeckt. Zudem kann eine Kompaktion der oberen Bodenschicht nachgewiesen werden. Diese Faktoren wirken auf die Oberflächenabflussbildung und den Sedimentabtrag ein. Die Ergebnisse von 122 Niederschlagssimulationen mit einer Kleinberegnungsanlage zeigen einen signifikanten Anstieg der mittleren Oberflächenabflüsse und Sedimentfrachten (1,4-, bzw. 3,5-mal höher) auf planierten im Gegensatz zu ungestörten Testflächen. Mithilfe des Gullymonitorings wird die Entwicklung eines kompletten Gullys durch Starkniederschlagsereignisse auf einer planierten Fläche detektiert. Dabei wird in einem 3,5 ha großen Einzugsgebiet etwa 1080 t Bodenmaterial erodiert. Hier wurde errechnet, dass Gullyerosion für 91 % des gesamten Bodenverlustes im Einzugsgebiet verantwortlich ist. Die Fläche dient nur als Lieferant des Erosionsagens Wasser. Das Verfüllen des ursprünglichen Gullysystems mit Material der umliegenden Hänge führt zu einer Erniedrigung der Geländehöhe von durchschnittlich über 5 cm. Auf ungestörten Flächen wird dagegen nur ein geringes Gullywachstum verzeichnet. Die vorgestellte Methodenkombination lässt eine gezielte Beschreibung der aktuellen Geomorphodynamik in den Einzugsgebieten der Souss-Ebene zu. Durch die land-levelling Maßnahmen wird die Prozessdynamik signifikant erhöht. Eine Verminderung der Vegetationsbedeckung, schnelle Krustenbildung sowie Bodenkompaktion unterstützen hohe Oberflächenabflussbildung und Sedimentabtrag. Durch lineare Konzentration des Abflusses wird rapide Gullyerosion gefördert. Ganze Gullysysteme können sich auf Planierungsflächen durch nur ein einziges Starkniederschlagsereignis ausbilden. Dadurch sind Anbauflächen, Gebäude und Infrastruktur gefährdet.
Mankind has dramatically influenced the nitrogen (N) fluxes between soil, vegetation, water and atmosphere " the global N cycle. Increasing intensification of agricultural land use, caused by the growing demand for agricultural products, has had major impacts on ecosystems worldwide. Particularly nitrogenous gases such as ammonia (NH3) have increased mainly due to industrial livestock farming. Countries with high N deposition rates require a variety of deposition measurements and effective N monitoring networks to assess N loads. Due to high costs, current "conventional"-deposition measurement stations are not widespread and therefore provide only a patchy picture of the real extent of the prevailing N deposition status over large areas. One tool that allows quantification of the exposure and the effects of atmospheric N impacts on an ecosystem is the use of bioindicators. Due to their specific physiology and ecology, especially lichens and mosses are suitable to reflect the atmospheric N input at ecosystem level. The present doctoral project began by investigating the general ability of epiphytic lichens to qualify and quantify N deposition by analysing both lichens and total N and δ15N along a gradient of different N emission sources and severity. The results showed that this was a viable monitoring method, and a grid-based monitoring system with nitrophytic lichens was set up in the western part of Germany. Finally, a critical appraisal of three different monitoring techniques (lichens, mosses and tree bark) was carried out to compare them with national relevant N deposition assessment programmes. In total 1057 lichen samples, 348 tree bark samples, 153 moss samples and 24 deposition water samples, were analysed in this dissertation at different investigation scales in Germany.The study identified species-specific ability and tolerance of various epiphytic lichens to accumulate N. Samples of tree bark were also collected and N accumulation ability was detected in connection with the increased intensity of agriculture, and according to the presence of reduced N compounds (NHx) in the atmosphere. Nitrophytic lichens (Xanthoria parietina, Physcia spp.) have the strongest correlations with high agriculture-related N deposition. In addition, the main N sources were revealed with the help of δ15N values along a gradient of altitude and areas affected by different types of land use (NH3 density classes, livestock units and various deposition types). Furthermore, in the first nationwide survey of Germany to compare lichens, mosses and tree bark samples as biomonitors for N deposition, it was revealed that lichens are clearly the most meaningful monitor organisms in highly N affected regions. Additionally, the study shows that dealing with different biomonitors is a difficult task due to their variety of N responses. The specific receptor surfaces of the indicators and therefore their different strategies of N uptake are responsible for the tissue N concentration of each organism group. It was also shown that the δ15N values depend on their N origin and the specific N transformations in each organism system, so that a direct comparison between atmosphere and ecosystems is not possible.In conclusion, biomonitors, and especially epiphytic lichens may serve as possible alternatives to get a spatially representative picture of the N deposition conditions. Furthermore, bioindication with lichens is a cost-efficient alternative to physico-chemical measurements to comprehensively assess different prevailing N doses and sources of N pools on a regional scale. They can at least support on-site deposition instruments by qualification and quantification of N deposition.
Vor dem Hintergrund des globalen Klimawandels stellt die energetische Verwertung von Biomasse (NaWaRo, Bioenergie) eine Option zur Minderung der globalen Treibhausgas-Emissionen dar. Im Jahr 2011 betrug der Anteil der Bioenergie am deutschen Endenergieverbrauch 8,2 %. Zur Einhaltung politischer Klimaschutzziele ist von einer Ausweitung der NaWaRo-Anbaufläche auszugehen. Aus Sicht des vorsorgenden Bodenschutzes ist dabei relevant, dass mit dem Biomasseanbau sowohl positive als auch negative Effekte für das Schutzgut Boden einhergehen können. Befürchtet werden u.a. ein weiterer Rückgang der (Boden-)Biodiversität in den Agrarlandschaften sowie eine Reduktion der organischen Kohlenstoffvorräte des Bodens (Verlust an Bodenqualität, Quelle für Treibhausgase) infolge der Intensivierung der landwirtschaftlichen Bodennutzung. Dahingegen könnten extensive Landnutzungsformen jedoch bspw. auch zu einer Förderung der Biodiversität beitragen. Für die zukünftige Ausrichtung des Biomasseanbaus ist daher eine umfassende Evaluation der vorhandenen Anbausysteme notwendig. Anhand der Energiepflanzen Raps, Mais und Miscanthus wurden im Rahmen der vorliegenden Arbeit die Effekte des Biomasseanbaus auf die für die Bodenfunktionen relevanten Schlüsselfaktoren Boden-Biodiversität und Humusgehalt ermittelt. Raps und Mais waren im Vergleich zu Miscanthus durch eine geringere Biodiversität gekennzeichnet. Langjähriger Miscanthus-Anbau führte zudem zu einer C-Akkumulation im Boden. Ein weiterer Schwerpunkt lag in der Quantifizierung der Netto-Energieerträge, der Energieeffizienz sowie des Treibhausgas-Minderungspotenzials der Anbausysteme. Alle bilanzierten Energiepflanzen-Anbausysteme erzielten Energiegewinne und führten zu einer Reduktion der Treibhausgasemissionen. Den naturwissenschaftlichen Studien schloss sich eine Analyse der gegenwärtigen Regelungen zur guten fachlichen Praxis (gfP) als zentralem Steuerungselement des vorsorgenden Bodenschutzes an. Diese diente zur Klärung der Frage, ob es hinsichtlich des Biomasseanbaus einer NaWaRo-spezifischen Konkretisierung der Grundsätzekataloge zur gfP im Recht der Landwirtschaft bedarf. Auf den Ergebnissen der natur- und rechtswissenschaftlichen Studien aufbauend wurden die mit der energetischen Verwertung von Biomasse einhergehenden Effekte auf die Schutzgüter Boden und Klima anhand des internen Zielkonfliktes des -§ 1 Abs. 3 Nr. 2 und 4 BNatSchG, welcher exemplarisch für das Spannungsfeld zwischen Landwirtschaft und Naturschutz steht, bewertet. Insgesamt ist der Ausbau der erneuerbaren Energien ein geeignetes und erforderliches Mittel zum Schutze des Klimas und der Luft. Sofern die Grundsätze der gfP zum Schutze des Bodens konsequent umgesetzt werden, muss der Anbau nachwachsender Rohstoffe zur Bioenergie-Produktion in diesem Zusammenhang als allgemein verhältnismäßig, im Besonderen aber auch als angemessene Maßnahme hinsichtlich der sonstigen Anforderungen des Bodenschutzes, angesehen werden. Den Abschluss der Arbeit bildet ein nicht als abschließend zu verstehender Katalog NaWaRo-spezifischer sowie allgemeiner Konkretisierungsvorschläge zur guten fachlichen Praxis.
In der Dissertation "Kartographische Medien zur Entscheidungsunterstützung: empirische Untersuchungen georäumlicher Visualisierungen im Rahmen des Trierer Kommunalhaushalts" werden kartographische Medien im Hinblick auf die Funktion der Entscheidungsunterstützung bei der Aufstellung eines Kommunalhaushalts untersucht. Die Akteure der Haushaltsaufstellung können in drei Gruppen aufgeteilt werden: Bürger, Politiker und Verwaltungsmitarbeiter. Die grundlegende Fragestellung der Arbeit lautet: Wie muss ein räumliches Finanzauskunftssystem gestaltet sein, um die Beteiligten in verschiedenen Phasen des Entscheidungsprozesses bestmöglich zu unterstützen? Ziel ist dabei die modellhafte Entwicklung eines nutzerorientierten kommunalen Finanzauskunftssystems. Zur Erstellung der kartographischen Medien werden zunächst die Ausgaben des Trierer Kommunalhaushalts georeferenziert und mit Hilfe von Karten visualisiert. Die Georeferenzierung erfolgt dabei über die theoretische Herleitung der Raumwirkung einzelner Haushaltspositionen, die vom Grundsatz her sehr kleinräumig, gesamtstädtisch oder auch regional wirken können. Theoretisch lassen sich 79% der Ausgabepositionen des Finanzhaushalts und 45% der Ausgabepositionen des Ergebnishaushalts 2009 räumlich verorten. Einschränkungen der Georeferenzierungsquote ergeben sich aus der Datenverfügbarkeit der Stadtverwaltung Trier. Die erzeugten Kartendarstellungen unterscheiden sich im Hinblick auf die Komplexität der dargestellten Inhalte. Zum Einsatz kommen verschiedene kartographische Modellformen sowie unterschiedliche Darstellungsformen der Legende (verbal und numerisch). Der Studie besteht aus zwei empirischen Untersuchungsreihen: einer Online-Befragung und einem Bildschirmexperiment mit eye tracking und Logfile-Aufzeichnung. Diese haben gezeigt, dass die Unterschiede zwischen den drei Akteursgruppen nicht entscheidend sind. Die generelle Haltung der Probanden zur Relevanz des Raumbezugs ist vielmehr ausschlaggebend dafür, ob das Medium Karte positiv angenommen wird oder nicht. Während die Relevanz des Kriteriums "Raum" bei Entscheidungen nachgewiesen wurde, bleibt die Frage nach dessen Gewichtung innerhalb diverser Einflussgrößen kommunal-politischer Entscheidungen offen. Kartographische Medien können eine sinnvolle Unterstützung im Entscheidungsprozess darstellen, bedürfen jedoch je nach Art der Fragestellung und dementsprechend vom Nutzer durchzuführenden räumlichen Operationen einer Kombination mit Texten und/oder Tabellen. Der Bedarf an Nutzerunterstützung steigt mit der Komplexität der räumlichen Operationen: das Bilden von Mustern ist für die Nutzer mit erheblich mehr Blickaufwand verbunden als das Identifizieren von Werten in der Karte. Generell stellt die Komplexität des Informationsgehalts für die Probanden keinen Hinderungsgrund dar, mit kartographischen Medien zu arbeiten. Vielmehr müssen sich die dargestellten Inhalte an den Interessen der Akteure orientieren. Beim Betrachten der Kartendarstellungen spielen Erfahrungen im Georaum eine wesentliche Rolle. Die Untersuchung konnte zeigen, dass das Raumwissen der Probanden jedoch oft mangelhaft ist. Kartographische Medien können dabei helfen, das Raumwissen auch in Bezug auf die Verteilung von Merkmalen im Raum zu steigern. Die Probanden steuerten in der empirischen Erhebung viele Anregungen zur Gestaltung eines interaktiven Systems bei, die darauf hinweisen, dass eine nutzerorientierte Systemgestaltung zwingend erforderlich ist, wenn möglichst viele Akteure von einem kommunalen Finanzauskunftssystem profitieren sollen.
High-resolution projections of the future climate are required to assess climate change realistically at a regional scale. This is in particular important for climate change impact studies since global projections are much too coarse to represent local conditions adequately. A major concern is thereby the change of extreme values in a warming climate due to their severe impact on the natural environment, socio-economical systems and the human health. Regional climate models (RCMs) are, however, able to reproduce much of those local features. Current horizontal resolutions are about 18-25km, which is still too coarse to directly resolve small-scale processes such as deep-convection. For this reason, projections of a possible future climate were simulated in this study with the regional climate model COSMO-CLM at horizontal resolutions of 4.5km and 1.3km for the region of Saarland-Lorraine-Luxemburg and Rhineland-Palatinate for the first time. At a horizontal scale of about 1km deep-convection is treated explicitly, which is expected to improve particularly the simulation of convective summer precipitation and a better resolved orography is expected to improve near surface fields such as 2m temperature. These simulations were performed as 10-year long time-slice experiments for the present climate (1991"2000), the near future (2041"2050) and the end of the century (2091"2100). The climate change signals of the annual and seasonal means and the change of extremes are analysed with respect to precipitation and 2m temperature and a possible added value due to the increased resolution is investigated. To assess changes in extremes, extreme indices have been applied and 10- and 20-year return levels were estimated by "peak-over-threshold" models. Since it is generally known that model output of RCMs should not directly be used for climate change impact studies, the precipitation and temperature fields were bias-corrected with several quantile-matching methods. Among them is a new developed parametric method which includes an extension for extreme values and is hence expected to improve the correction. In addition, the impact of the bias-correction on the climate change signals and on the extreme value statistics was investigated. The results reveal a significant warming of the annual mean by about +1.7 -°C until 2041"2050 and +3.7 -°C until 2091"2100, but considerably stronger signals of up to +5 -°C in summer in the Rhine Valley. Furthermore, the daily variability increases by about +0.8 -°C in summer but decreases by about -0.8 -°C in winter. Consequently, hot extremes increase moderately until the mid of the century but strongly thereafter, in particular in the Rhine Valley. Cold extremes warm continuously in the complete domain in the next 100 years but strongest in mountainous areas. The change signals with regard to annual precipitation are of the order -±10% but not significant. Significant, however, are a predicted increase of +32% of the seasonal precipitation in autumn until 2041"2050 and a decrease of -28% in summer until 2091-2100. No significant changes were found for days with intensities > 20 mm/day, but the results indicate that extremes with return periods ≤2 years increase as well as the frequency and duration of dry periods. The bias-corrections amplified positive signals but dampened negative signals and considerably reduced the power of detection. Moreover, absolute values and frequencies of extremes were altered by the correction but change signals remained approximately constant. The new method outperformed other parametric methods, in particular with regard to extreme value correction and related extreme indices and return levels. Although the bias correction removed systematic errors, it should be treated as an additional layer of uncertainty in climate change studies. Finally, the increased resolution of 1.3km improved predominantly the representation of temperature fields and extremes in terms of spatial heterogeneity. The benefits for summer precipitation were not as clear due to a severe dry-bias in summer, but it could be shown that in principle the onset and intensity of convection improves. This work demonstrates that climate change will have severe impacts in this investigation area and that in particular extremes may change considerably. An increased resolution provides thereby an added value to the results. These findings encourage further investigations, for other variables as for example near-surface wind, which will be more feasible with growing computing resources. These analyses should, however, be repeated with longer time series, different RCMs and anthropogenic scenarios to determine the robustness and uncertainty of these results more extensively.
Veterinary antibiotics are released to arable agricultural soil together with manure, including nutrients, organic matter, and microorganisms. Previously, the effects of antibiotic-contaminated manure on soil microbial community activity, function, structure, and resistance have been reported under controlled experimental conditions. This thesis further evaluated the antimicrobial effects as influenced by different manure compositions, soil microhabitats and moisture regimes, plants, and different distances to roots. Microbial community responses were determined by phenotypic phospholipid fatty acid (PLFA) and genotypic 16S rRNA gene fragment analyses. (Chapter 3) demonstrates that medication of pigs with difloxacin (DIF) and sulfadiazine (SDZ) alters the molecular-chemical pattern of slurries, confounding the detection of a consistent antibiotic effect in bulk and respective rhizosphere soil. This was evaluated in a 63-day mesocosm experiment considering typical agricultural manure applications to maize planted soil. Fecal bacteria were detected even 14 days after manure amendment. Manure of DIF- and SDZ-medicated pigs clearly affected the microbial community in mesocosm bulk and rhizosphere soil, temporarily matching antibiotic effects reported in previous studies. (Chapter 4) discusses the influences of different soil microhabitats on antibiotic fate and the effects on soil microflora. Total extractable SDZ was more than two-fold larger in earthworm burrows and soil macroaggregate surfaces compared to bulk soil or the interior fraction of aggregates. Furthermore, soil microbial communities were affected by a combination of soil microhabitat and treatment, which was reflected by different structural and functional community responses to SDZ in laboratory and under field conditions. (Chapter 5) evaluates if SDZ effects on microbial communities are more pronounced in soils which undergo periodic changes in soil moisture by drying-rewetting dynamics compared to soils without such moisture fluctuations. This was tested in a 49-day climate chamber soil pot experiment grown with grass. Manure-amended pots without or with SDZ contamination were incubated under a dynamic moisture regime with repeated drying and rewetting changes of more than twenty percent maximum water holding capacity compared to the control moisture regime. The microbial biomass, but less pronouncedly the community structure, showed an increased responsiveness to the combined stress of SDZ and dynamic moisture changes in the laboratory. Similar responses were documented under field conditions. (Chapter 6) indicated adverse effects of SDZ on root geotropism, number of lateral roots, and water uptake by plants in a 40-day greenhouse experiment with willow and maize grown in soil with environmentally relevant and worst-case antibiotic contamination. (Chapter 7) showed that the associated microbial community responded to a combination of plant species, distance to the root, and antibiotic spiking concentration. In highly antibiotic-contaminated soils, the structural and functional responses of the microbial community were dominated by indirect antibiotic effects on plants and roots.
Die Dissertation widmet sich der Eisenbahninfrastruktur des Raumes Saarland-Lothringen-Luxemburg mit ihrer hohen Netzdichte sowie der Frage, wie diese Bahnstrecken besser genutzt werden können. Möglichkeiten, wie diese Strecken durch innovative, insbesondere aber durch grenzüberschreitende Angebote im Schienen-¬verkehr besser genutzt werden können, werden aufgezeigt. Ziel ist es zu zeigen, welche Potenziale der Schienenverkehr auf Basis der vorhandenen Bahninfrastruktur als Alternative zum dominierenden Straßenverkehr bieten könnte. Der Grenzraum SaarLorLux wird dazu porträtiert, einschließlich einer historischen Genese des Bahnsystems. Dieser historische Rückblick ist kartographisch aufbereitet. Die wechselhafte politische und wirtschaftliche Geschichte des Grenzraumes, insbesondere seine Montanindustrie haben den Untersuchungsraum und die Entwicklung seiner Eisenbahnen entscheidend geprägt. Neben den neuen und schnellen Korridor-Verbindungen nach Paris und Frankfurt wird auch eine gegenläufige Entwicklung aufgezeigt, die zu einem Einbruch der Fernverkehrsqualität für SaarLorLux geführt hat. Auch beim Güterverkehr ist ein Niedergang zu beobachten, gerade im Bereich der Güter in der Montanindustrie. Die Analyse des Bestandsnetzes der gesamten Verkehrsinfrastruktur einschließlich Luftfahrt, Schifffahrt und Straßenverkehr im SaarLorLux-Raum zeigt auf, welche Standards und Verbindungsqualitäten hier vorhanden sind. Ein Schwerpunkt der Betrachtung ist der Frage gewidmet, wie durch angebotsorientierte, aber auch durch organisatorische Maßnahmen die grenzüberschreitende Zusammenarbeit im Schienenregionalverkehr optimiert werden kann. Am Beispiel eines Ringverkehrs Luxemburg-Metz-Saarbrücken-Trier-Luxemburg (Q_Intracity) zeigt der Autor, welche Chancen sich ergäben, wenn die grenzüberschreitende Kooperation ausgeweitet würde. Weitere Vorschläge betreffen die Reaktivierung von derzeit kaum genutzten oder stillgelegten Bahnstrecken sowie die Verlängerung des bestehenden Nahverkehrs über die Grenze hinweg. Für den Saar-Rossel-Raum im Eurodistrikt Saarbrücken-Forbach erläutert die Abhandlung beispielhaft, wie ein neues Stadtbahnangebot die grenzüberschreitende und umwelt-¬freundliche Mobilität stärken kann. Dabei spielt die Wiedernutzung stillgelegter Bahnstrecken der ehemaligen lothringischen Kohlebahn HBL und des Bahnnetzes links der Saar eine große Rolle. Die vorgelegte Arbeit skizziert auch Verbesserungen für den Fernverkehr: Die Abhandlung umreißt die technischen Möglichkeiten, um vorhandene Bahnstrecken zeitgemäß auszurüsten. Die Elektromobilität spielt hierbei eine besondere Rolle Das Schließen von Lücken bei der Elektrifizierung vermag die Kapazitäten der Bahnstrecken deutlich auszudehnen und gerade auch dem Güterverkehr neue und günstigere Wege zu erschließen. Die ermittelte Elektrifizierung von rund dreihundert Kilometern an bestehenden Strecken im Unter-¬suchungsraum ermöglichte beispielsweise, den regelmäßigen Dieselbetrieb auf einem Netz von fast 500 Kilometern durch elektrische Traktion zu ersetzen. Ausgehend von der Analyse der Organisationsstruktur im Schienenverkehr und mit Blick auf die heterogene Struktur der Aufgabenträger im Schienenpersonennahverkehr schlägt der Autor vor, eine grenzüberschreitend agierende Instanz mit Verantwortung für den regionalen Nahverkehr zu schaffen. Diese sollte sich an dem Rechtsrahmen eines Europäischen Verbundes für Territoriale Zusammenarbeit (EVTZ) ausrichten und dazu beitragen, dass Angebote im bestellten Schienen-¬personennahverkehr nicht mehr an den Grenzen der Zuständigkeitsbereiche von Aufgabenträgern enden. Ein weiterer Vorschlag umfasst die Schaffung einer Infrastruktur-Sicherungs- und Entwicklungs-¬gesellschaft für den Schienen-verkehr. Ihre Aufgabe sollte die akteursüber-¬greifende Initiative sein mit dem Ziel, vorhandene aber aus der Nutzung genommene Bahnstrecken vor dem Verfall zu retten und für eine spätere Nutzung aufzuwerten. Die Abhandlung beinhaltet eine erste Kostenschätzung und eine erste Priorisierung der vorgeschlagenen technischen, infrastrukturellen und administrativen Maßnahmen. Das Leitmotiv ist dabei Erhalt vor Neubau. Neubaustrecken sind nur in geringem Umfang von 32 Kilometern vorgesehen, wohingegen auf rund 165 Kilometern bestehender Trassen ein Personen-¬verkehrsangebot wieder aufgenommen werden sollte und mindestens 50 neue Bahnhöfe und Haltestellen zu errichten sind. Der Autor ermittelt einen Bedarf von rund 500 Kilometern, um Strecken mit moderner Leit- und Sicherungstechnik, Funkbetrieb und Gleiswechselbetrieb zu modernisieren. Die Dissertation versteht sich als ersten Beitrag, um für den SaarLorLux-Raum einen Masterplan Schiene zu verwirklichen. Die Abhandlung beinhaltet 147 überwiegend kartographische Abbildungen und 23 Tabellen. Im Anhang greift ein Kartendossier im Format DIN A 3 15 Karten aus der Abhandlung großformatig auf.
Die Notwendigkeit einer ökologischen Aufwertung kleiner urbaner Gewässer und damit einer effektiven Siedlungswasserwirtschaft ist in den Fokus gerückt und wurde zum Bestandteil der Wasserrahmenrichtlinie ( 2000/60/EG). Die Zunahme von Regenwassermanagementsystemen und die Renaturierung kanalisierter Gewässerabschnitte führt zu einer Integration von Flüssen und Bächen in das städtische Umfeld. Diese Arbeit fokussiert die zeitlich hochaufgelöste Analyse des Stofftransports während Abflussereignissen in mesoskaligen Einzugsgebieten. Es wird untersucht, ob die Landnutzung und die Entwässerungssysteme von Siedlungsflächen, die Abflusssdynamik und die Stoffkonzentrationen beeinflussen. Beleuchtet wird, inwieweit naturnahe Regenwassermanagementsysteme in Siedlungsgebieten den natürlichen Wasserhaushalt erhalten und eine Gewässerbelastung reduzieren. Untersucht werden die Schadstoffdynamiken und -frachten dreier verschiedener Einzugsgebiete, ähnlich hinsichtlich Einzugsgebietsgröße, Topographie und klimatischen Bedingungen, aber unterschiedlich in Landnutzung und Entwässerungssystemen. Darüber hinaus wird der Einfluss der Ableitungsart des Regenwassers aus den Siedlungsgebieten auf die Abflussdynamik und die Schadstoffverlagerung auf unterschiedlichen Skalen untersucht. Abflussganglinien und Chemographen aller Gewässer zeigen große Schwankungen während und zwischen Hochwasserereignissen. Kurzfristige Konzentrationen sind sehr hoch und können nur mittels zeitlich hochaufgelöster Beprobung bestimmt werden. Frachten und mittlere Ereigniskonzentrationen weisen eine hohe Variabilität in Abhängigkeit von vorangehenden hydro-klimatischen Bedingungen auf. Erhöhte Schadstoffkonzentrationen treten in einem ländlich geprägten Einzugsgebiet in Verbindung mit Regenfällen durch Remobilisierung von Schadstoffen aus der Kanalisation auf. In einem städtisch geprägten Vorfluter sind Schadstoffbelastungen mit dem Basisabfluss aufgrund sanitärer Fehlanschlüsse und Kläranlageneinleitungen das ganze Jahr über bedeutsam. Ein biologischer Test zur Bestimmung östrogener Aktivität zeigt, dass die Toxizität von der Kläranlagentechnologie und deren Elimination östrogener Wirkstoffe abhängt. Saisonale Effekte, durch steigende östrogene Aktivität im Sommer und abnehmende Aktivität im Winter aufgrund der Verdünnung durch Boden- und Grundwasser, konnten beobachtet werden. Dezentrale Regenrückhalte führen zum Erhalt des quasi-natürlichen Wasserhaushaltes und zur Dämpfung von Abflussspitzen im Vorfluter. Die Beprobung der Zuläufe und des Ablaufes einer Retentionsfläche zeigt die Reduktion der Maximalkonzentrationen sowie der jährlichen Frachten von Xenobiotika. Mit zunehmender Einzugsgebietsgröße nimmt die Anzahl und Diversität der Entwässerungssysteme zu. Die Skalenabhängigkeit der Gewässerbelastung ergibt sich aus dem Vorhandensein und Zusammenwirken von Misch- und Trennkanalisationen, sowie Regenwassermanagementsysteme, und Kläranlageneinläufen. Vor allem Mischwasserkanalüberläufe führen zu einer hydraulischen Belastung sowie zu hohen Momentankonzentrationen der Xenobiotika. Regenwassermanagementsysteme tragen zu einer deutlichen Reduktion der chemischen und hydraulischen Belastung des Gewässers bei. Dies führt zu einer Entlastung der Vorfluter und zu einem besseren ökologischen Zustand, wie durch die Wasserrahmenrichtlinie gefordert.
A big challenge for agriculture in the 21st century is the provision of food safety to fast growing world- population, which not only demands the well utilisation of the available agricultural resources but also to develop new advancements in the mass production of food crops. Wheat is the third largest food crop of the world and Pakistan is the eighth largest wheat producing country globally. Rice is the second most important staple food of Pakistan after wheat, grown in all provinces of the country. Maize is the world- top ranking food crop followed by wheat and rice. The harvested produts have to be stored in different types of storage structures on small or large scale for food as well as seed purpose. In Pakistan, the harvested grains are stored for the whole year till the introduction of fresh produce in order to ensure the regular food supply throughout the year. However, it is this extended storage period making the commodity more vulnerable to insect attacks. Rhyzopertha dominica (Coleoptera: Bostrychidae), Cryptolestes ferrugineus (Coleoptera: Laemophloeidae), Tribolium castaneum (Coleoptera: Tenebrionidae) and Liposcelis spp. (Psocoptera: Liposcelididae) are the major and most damaging insect pests of stored products all around the world. Various management strategies have been adopted for stored grain insect pests mostly relying upon the use of a broad spectrum of insecticides, but the injudicious use of these chemicals raised various environmental and human health related issues, which necessitate the safe use of the prevailing control measures and evaluation of new and alternative control methods. The application of new chemical insecticides, microbial insecticides (particularly entomopathogenic fungi) and the use of inert dusts (diatomaceous earths) is believed amongst the potential alternatives to generally used insecticides in stored grain insect management system. In the current investigations, laboratory bioassays conducted to evaluate the effects of combining Imidacloprid (new chemistry insecticide) with and without Protect-It (diatomaceous earth formulation) against R. dominica, L. paeta, C. ferrugineus and T. castaneum, on three different grain commodities (i.e. wheat, maize and rice) revealed differences in adult mortality levels among grains and insect species tested. Individually, Imidacloprid was more effective as compared with Protect-It alone and the highest numbers of dead adults were recorded in wheat. The insecticidal efficacy of B. bassiana with Protect-It and DEBBM was also assessed against all test insect species under laboratory conditions. The findings of these studies revealed that the more extended exposure period and the higher combined application rate of B. bassiana and DEs provided the highest mortality of the test insect species. The progeny emergence of each insect species was also greatly suppressed where the highest dose rates of the combined treatments were applied. The residual efficacy of all three control measures Imidacloprid, B. bassiana and DEBBM formulation was also evaluated against all test insect species. The bioassays were carried out after grain treatments and monthly for 6 months. The results indicated that the adult mortality of each test insect species was decreased within the six month storage period, and the integarted application of the test grain protectants enhanced the mortality rates than their alone treatments. The maximum mortality was noted in the combined treatment of DEBBM with Imidacloprid. At the end, the effectiveness of B. bassiana, DEBBM and Imidacloprid applied alone as well as in combinations, against all above mentioned test insect species was also evaluated under field conditions in trials conducted in four districts of Punjab, Pakistan. For each district, a significant difference was observed between treatments, while the combined treatments gave better control of test species as compared with them alone. The least number of surviving adults and minimum percentage of grain damage was observed for the DEBBM and Imidacloprid combination, but DEBBM with B. bassiana provided the best long-term protection as compared with the remaining treatments.
Um die weiterhin ansteigende Weltbevölkerung auch zukünftig mit Nahrungsmitteln und anderen wichtigen Rohstoffen zu versorgen, bedarf es einer immer größeren Nutzungsausweitung der Landwirtschaft auf natürliche Flächen. Im Jahre 2009 wurde ein Drittel der Landoberfläche der Erde bereits landwirtschaftlich genutzt. In jüngster Zeit kommt der Landwirtschaft zusätzlich eine wichtige Bedeutung als Energielieferant zu. Ein weiter steigender Flächenbedarf ist die Konsequenz dieser Entwicklung. Dies führt zum Verlust von Habitaten und somit zu einer starken Fragmentierung der Landschaft. Die direkten und indirekten Auswirkungen dieser Entwicklung auf den weltweiten Biodiversitätsrückgang werden mittlerweile als eine der Hauptursachen für den Rückgang vieler Arten anerkannt. Auch der Gesetzgeber hat dieses Problem erkannt und versucht dem entgegenzuwirken. In der vorliegenden Arbeit wird durch einen multiplen Methodenansatz der Einfluss der Habitatfragmentierung auf die Konnektivität der Populationen von zwei unterschiedlich mobilen Insektenarten untersucht. Als Modelarten wurden eine wenig mobile Heuschreckenart (Chorthippus montanus) und ein hoch mobiler Tagfalter (Brenthis ino) ausgewählt, welche beide an feuchte Grünländer gebunden sind. Für C. montanus wurde gezeigt, dass die Art nur ein sehr eingeschränktes Mobilitätspotenzial besitzt und stark an ihr Habitat gebunden ist. Daher ist eine Durchquerung von ungeeigneten Lebensräumen als äußerst unwahrscheinlich zu erachten. Eine Studie zur Mobilität und dem Verhalten von Brenthis ino belegt eine starke Philopatrie für eine nicht territoriale Insektenart. Zusätzlich zu den Fang-Wiederfang-Untersuchungen im Freiland wurden populations- und landschaftsgenetische Analysen durchgeführt. Die populationsgenetischen Analysen zeigen eine starke Isolation der Populationen von C. montanus, während zwischen den untersuchten Populationen von B. ino eine gute Konnektivität besteht. Mittels der landschaftsgenetischen Analyse wird gezeigt, dass Wälder und bebaute Flächen für beide Arten substanzielle Genefluss-Barrieren darstellen. Basierend auf einer GIS gestützten Analyse wird dargelegt, dass eine lokal ausreichende Vernetzung von Grünländern in Rheinland-Pfalz durch den Biotopverbund existiert. Die Berücksichtigung der Konnektivität bei der Auswahl und Ausgestaltung der Instrumente zur rechtlichen Sicherung und Umsetzung des Biotopverbundes (-§ 21 BNatSchG) bergen großes Potenzial zum Schutz von Grünländern. Ferner wird gezeigt, dass die Landschaftsplanung zwar ein geeignetes Instrument zur Erarbeitung des Biotopverbundes ist, aber kein Instrument zur rechtlichen Sicherung desselbigen im Sinne des -§ 21 Abs. 4 BNatSchG sein kann.
Anlass dieser vorliegenden Arbeit ist die genannte Reformierung der Lehrerausbildung in Deutschland im Zusammenhang mit der europäischen Bologna-Reform an den Universitäten und pädagogischen Hochschulen während der letzten zehn Jahre. Nach einer Auseinandersetzung mit den Zielen und den daraus resultierenden Reformbestrebungen wird der Fokus der Forschungsarbeit auf das Bundesland Rheinland-Pfalz gerichtet, um dort das Duale Studien- und Ausbildungskonzept für angehende Lehrerinnen und Lehrer genauer zu beleuchten. Die Vorgehensweise der Forschungsarbeit gliedert sich in drei Bereiche. Auf der einen Seite wird durch die Arbeit die strukturelle Umsetzung der Lehrerausbildungsreform an den vier Universitäten in Rheinland-Pfalz (Kaiserslautern, Koblenz-Landau, Mainz und Trier) transparent gemacht. Dieser Schritt ist erforderlich, um zunächst den Ist-Stand der Ausbildung im Fach Geographie zu erfassen und damit sowohl die Gemeinsamkeiten als auch die spezifischen Merkmale der einzelnen Studienstandorte abbilden zu können. Eine sich anschließende Befragung der Studierenden liefert als Ergänzung zur ermittelten deskriptiven Grundlage zur Studiensituation weitere Erkenntnisse aus den Bereichen der Modularisierung des Studiums, der fachlichen und fachdidaktischen Grundlagenvermittlung, den praktischen Studienanteilen und der eigenen Kompetenzeinschätzung. Die Rückmeldungen der Experten, die das Reformkonzept an den Standorten landesweit umsetzen, geben im Rahmen dieser Arbeit weitere ergänzende Impulse. Gerade im Hinblick auf die Diskussion um die Stärken und Schwächen der bisher umgesetzten Reformziele und die Einschätzung zu den Entwicklungsmöglichkeiten können direkte Rückmeldungen der Akteure aus der ersten und zweiten Phase der Ausbildung wichtige Ergänzungen liefern. Dazu werden einige Ergebnisse der Experteninterviews zusammenfassend dargestellt. Abschließend werden wesentliche Schlussfolgerungen der gesamten Forschungsarbeit, insbesondere Empfehlungen für zukünftige Entwicklungsperspektiven und Forschungsfelder dargelegt.
Die Dissertation beschreibt den Bewerber als Kunden eines Unternehmens und das damit verbundene Erleben während der Bewerbungsphase. Die Gesamteindrücke des Bewerbers werden auch als Candidate Experience bezeichnet. Die theoretische Herangehensweise der Arbeit orientiert sich am Marketingkonzept Customer Experience Management (CEM), welches den Kunden in den Mittelpunkt der Betrachtung stellt. Neben der theoretischen Herleitung wurde für die empirische Datengrundlage ein vielfältiges Methodenspektrum gewählt, um sowohl die Kundensicht zu beleuchten als auch die Unternehmensseite. Die Analyse zeigt, dass Standards bzw. selbstverständliche Verhaltensregeln (Recruiting-Basics) in der Interaktion mit dem Bewerber noch lange nicht von allen Unternehmen eingehalten werden, was teilweise zu Unzufriedenheit und negativen Kommentaren im Social Web führt. Die unmittelbare Veröffentlichung und Verbreitung von Kommentaren im Internet bieten aus Sicht der Unternehmen Risiken, aber auch Chancen. Die Ergebnisse der Arbeit zeigen, dass Candidate Experience in einem durch den Fachkräftemangel bedingten "Arbeitnehmermarkt" zur Notwendigkeit wird. Es entsteht ein Umwerben von Talenten, wodurch sich der bisherige Recruiting-Ansatz umdreht. Ein modernes Recruiting kennzeichnet sich dabei durch eine aktive Ansprache der potentiellen Bewerber. Als Konsequenz dieser Entwicklung sollte das Recruiting ganzheitlich auf Maßnahmen ausgerichtet werden, die gemäß eines abgeleiteten Candidate-Experience-Management-Ansatz den persönlichen Dialog mit dem Kandidaten fördern, Orientierung und Transparenz schaffen sowie relevante Informationen aus Kundensicht bereitstellen. Dazu kann bereits eine Karriereseite mit kundenorientierten Inhalten beitragen. Weiterhin gilt der erlebte persönliche Dialog mit den Unternehmensvertretern als entscheidend. Im Hinblick auf die Erkenntnisse der Arbeit ist es für die Zukunft empfehlenswert, sowohl im Wettbewerb um die besten Talente als auch hinsichtlich einer positiven Reputation on und offline alle Kontaktpunkte des Bewerbers mit dem Unternehmen zu identifizieren und zu analysieren. Das positive Bewerbererlebnis kann dabei auf Basis der Identifizierung kritischer Kundenkontaktpunkte und gleichzeitiger Implementierung von Maßnahmen gestaltet werden. Als Strukturierungshilfe dient ein durch den Verfasser entwickeltes Prozessmodell, welches in der Praxis auf Basis einer Fallstudie angewendet wurde. Um Erwartungen von Bewerbern nicht nur zu erfüllen, sondern zu übertreffen, gilt es zusätzlich kreative Maßnahmen zu implementieren, die auch eine zunehmende Weiterempfehlungs-bereitschaft fördern. Insgesamt lässt sich hinsichtlich der Erwartungshaltung der Bewerber konstatieren, dass ein Unternehmen auch bei den jungen Akademikern der Generation Y punkten kann, wenn es sich in einem ersten Schritt zunächst auf die Einhaltung der Recruiting-Basics konzentriert.
Geographic ranges of species and their determinants are of great interest in the field of biogeography and are often studied in terms of the species" ecological niches. In this context, the range of a species is defined by the accessibility of an area, abiotic factors and biotic interactions, which affect a species" distributions with different intensities across spatial scales. Parapatry describes a distributional pattern in which the ranges of two species meet along sharp range limits with narrow contact zones. Such parapatric range limits are determined by changing abiotic conditions along sharp environmental gradients or can result from interspecific resource competition. However, it has been shown that often the interplay of abiotic conditions and species interactions determine parapatry. The geographic ranges of the land salamanders, Salamandra salamandra and S. atra, narrowly overlap in the European Alps with only few syntopic localities and to date, the cause of parapatry is unknown. The goal of this thesis was thus to identify the importance of abiotic and biotic factors for their parapatric range limits at different spatial scales. On a broad spatial scale, the role of climate for the parapatric range limits of the species was investigated within three contact zones in Switzerland. Climatic conditions at species" records were analysed and species distribution modelling techniques were used to explore the species" climatic niches and to quantify the interspecific niche overlap. Furthermore, it was tested whether the parapatric range limit coincides with a strong climatic gradient. The results revealed distinct niches for the species as well as the presence of strong climatic gradients which could explain the parapatric range limits of the species. Yet, there was a moderate interspecific niche overlap in all contact zones indicating that the species may co-occur and interact with each other in areas where they both find adequate conditions. Comparison among contact zones revealed geographic variation in the species" niches as well as in the climatic conditions at their records suggesting that the species can occur in a much wider range of conditions than they actually do. These findings imply that climate represents a main factor for the species" parapatric range limits. Yet, interspecific niche overlap and the geographic variation provide indirect evidence that interspecific interaction may also affect their spatial distribution. To test whether competition restricts the species" ranges on the habitat scale and to understand local syntopic co-occurrence of the salamanders within their contact zones, site-occupancy modelling was used. This approach allowed to find the habitat predictors that best explain the species" local distribution. While the slope of the site positively affected the occupancy probability of S. salamandra, no tested predictor explained that of S. atra. Also, there was no effect of the occurrence of one species on the occupancy probability of the other providing no evidence for competition. Should competition occur, it does not lead to spatial segregation of the species on this scale. Because biotic interactions most significantly affect the ranges of species on small spatial scales, the microhabitat conditions at locations of the species within syntopic contact zones were compared and a null model analysis was applied to determine their niche overlap. Resource selection probability function models were used to assess those attributes that affect the species" habitat selections. The results revealed species-specific microhabitat preferences related to leaf litter cover, tree number and that the species were active at different temperatures as well as times of the day. The high degree of diurnal activity of S. atra may be due to its preference of forest floor microhabitats that long remain suitable during daytime. Besides, there was a great niche overlap for shelters indicating that the species may compete for this resource. Differential habitat selection and the use of the available shelters at different times of the day may minimize species interactions and allow their local co-occurrence within contact zones. To identify whether the potential infection with the pathogenic chytrid fungus could serve as an alternative biotic explanation for the range margins of S. atra, several populations throughout its range were screened for infection. Since the occurrence of this pathogen was detected mostly at lower altitudes of the Alps, it may confine the range of S. atra to higher elevations. Because chytrid was not detected in any of the samples, the pathogen unlikely plays a role in determining its range limits. Overall, these findings underline the complexity of mechanisms that determine the range margins of parapatric species and provide an important basis for subsequent studies regarding the determinants of the parapatric distribution of the two salamander species.
Chemical communication in the reproductive behaviour of Neotropical poison frogs (Dendrobatidae)
(2013)
Chemical communication is the evolutionary oldest communication system in the animal kingdom that triggers intra- and interspecific interactions. It is initiated by the emitter releasing either a signal or a cue that causes a reaction of the receiving individual. Compared to other animals there are relatively few studies regarding chemical communication in anurans. In this thesis the impact of chemical communication on the behaviour of the poison frog Ranitomeya variabilis (Dendrobatidae) and its parental care performance was investigated. This species uses phytotelmata (small water bodies in plants) for both clutch and tadpole depositions. Since tadpoles are cannibalistic, adult frogs do not only avoid conspecifics when depositing their eggs but also transport their tadpoles individually into separated phytotelmata. The recognition of already occupied phytotelmata was shown to be due to chemical substances released by the conspecific tadpoles. In order to gain a deeper comprehension about the ability of adult R. variabilis to generally recognize and avoid tadpoles, in-situ pool choice experiments were conducted, offering chemical substances of tadpole of different species to the frogs (Chapter I). It turned out that they were able to recognize all species and avoid their chemical substances for clutch depositions. However, for tadpole depositions only dendrobatid tadpoles occurring in phytotelmata were avoided, while those species living in rivers were not. Additionally, the chemical substances of a treefrog tadpole (Hylidae) were recognized by R. variabilis. Yet, they were not avoided but preferred for tadpole depositions; thus these tadpoles might be recognized as a potential prey for the predatory poison frog larvae. One of the poison frog species which was avoided for both tadpole and clutch depositions, was the phytotelmata breeding Hyloxalus azureiventris. The chemical substances released by its tadpoles were analysed together with those of the R. variabilis tadpoles (Chapter II). After finding a suitable solid-phase extraction sorbent (DSC-18), the active chemical compounds from the water of both tadpole species were extracted and fractionated. In order to determine which fractions triggered the avoidance behaviour of the frogs, in-situ bioassays were conducted. It was found that the biologically active compounds differed between both species. Since the avoidance of the conspecific tadpoles is not advantageous to the releaser tadpoles (losing a potential food resource) the chemicals released by them might be defined as chemical cues. However, as it turned out that the avoidance of the heterospecific tadpoles was not triggered by a mere byproduct based on the close evolutionary relationship between the two species, the chemical compounds released by H. azureiventris tadpoles might be defined as chemical signals (being advantageous to the releasing tadpoles) or, more specifically as synomones, interspecificly acting chemicals that are advantageous for both emitter and receiver (since R. variabilis avoids a competition situation for its offspring, too). Another interspecific communication system investigated in this thesis was the avoidance of predator kairomones (Chapter III). Using chemical substances from damselfly larvae, it could be shown that R. variabilis was unable to recognize and avoid kairomones of these tadpole predators. However, when physically present, damselfly larvae were avoided by the frogs. For the recognition of conspecific tadpoles in contrast, chemical substances were necessary, since purely visible artificial tadpole models were not avoided. If R. variabilis is also capable to chemically communicate with adult conspecifics was investigated by presenting chemical cues/signals of same-sex or opposite-sex conspecifics to the frogs (Chapter IV). It was suggested that males would be attracted to chemical substances of females and repelled by those of conspecific males. But instead all individuals showed avoidance behaviour towards the conspecific chemicals. This was suggested to be an artefact due to confinement stress of the releaser animals, emitting disturbance cues that triggered avoidance behaviour in their conspecifics. The knowledge gained about chemical communication in parental care thus far, was used to further investigate a possible provisioning behaviour in R. variabilis. In-situ pool-choice experiments with chemical cues of conspecific tadpoles were carried out throughout the change from rainy to dry season (Chapter V). With a changepoint analysis, the exact seasonal change was defined and differences between frogs" choices were analysed. It turned out that R. variabilis does not avoid but prefer conspecific cues during the dry season for tadpole depositions, what might be interpreted as a way to provide their tadpoles with food (i.e. younger tadpoles) in order to accelerate their development when facing desiccation risk. That tadpoles were also occasionally fed with fertilized eggs could be shown in a comparative study, where phytotelmata that contained a tadpole deposited by the frogs themselves received more clutch depositions than freshly erected artificial phytotelmata containing unfamiliar tadpoles (i.e. their chemical cues; Chapter VI). Conducting home range calculations with ArcGIS, it turned out that R. variabilis males showed unexpectedly strong site fidelity, leading to the suggestion that they recognize their offspring by phytotelmata location. However, in order to test if R. variabilis is furthermore able to perform chemical offspring recognition, frogs were confronted in in-situ pool-choice experiments with chemical cues of single tadpoles that were found in their home ranges (Chapter VII). Genetic kinship analyses were conducted between those tadpoles emitting the chemical cues and those deposited together with or next to them. The results, however, indicated that frogs did not choose to deposit their offspring with or without another tadpole due to relatedness, i.e. kin recognition by chemical cues could not be confirmed in R. variabilis.
Comparing the results of the phylogeographies of the four species included in this thesis, some accordances have been found, even though certain patterns are only represented in one or two species. In all cases, the findings of the studied species strongly support the existence of forests or forest-like ecosystems beyond the classic forest refugia in the Mediterranean areas (Iberian, Apennine and Balkan peninsulas) during glacial times. However, evidence of glacial refugial areas in Southeastern Europe, especially the Balkans, have been found in this study as well. The analysed populations of Aposeris foetida, Melampyrum sylvaticum and Erebia euryale showed high genetic diversity values and mostly higher private fragments in this area, which is a strong indicator for centres of glacial survival during Würm and, regarding the results of M. sylvaticum, even during the Riss ice age. Three of the analysed species (A. foetida, M. sylvaticum and Colias palaeno) supported a second main glacial refuge area located along the Northern Alps. Again, high genetic diversity values and the uniqueness of the populations living in this region today prove the importance of this area as a glacial centre of survival. Those results confirm several recently published studies on forest species and strongly indicate the persistence of forest-like structures or even forests during the ice ages along the foothills of the Northern Alps. Additionally, the persistence of C. palaeno in this area furthermore supports the existence of peatlands north of the Alps, at least during the last glacial. The results of M. sylvaticum and E. euryale further indicate the vicinity of the Tatra Mountains as core areas for glacial survival. However, the genetic patterns found for E. euryale are ambiguous. Due to an intermediate position of two genetic lineages (originating in the Eastern Alps and Southeastern Europe), the Tatras could also reflect a postglacial mixture zone of those lineages. Moreover, the glacial and postglacial importance of this area for woodland species was accentuated, supporting other phylogeographic studies published. Besides the congruities among the results of the study species, some unique patterns and therefore further potential glacial refugia have also been illuminated in this thesis. For instance, the calcicole species, A. foetida, most probably had further survival area at both sides of the Dinaric Alps, supported by high genetic diversity values and a high number of private fragments found in Croatian populations. Furthermore, the surroundings of the German Uplands and the margin of the Southern Alps provided suitable conditions for glacial survival for M. sylvaticum, while the Eastern and Southeastern Alpine region most probably sheltered the Large Ringlet E. euryale during ice ages. Additionally, this butterfly species survived at least the glaciation along the foothills of the Massif Central, whose present populations showed a unique genetic lineage and their genetic diversity values have been measurably higher than in other populations for this species. Finally, a large and continuous Würm distribution is highly likely south of the Fennoscandian glaciers in Central Europe for C. palaeno, which might indicate extended peatland areas during Würm glacial. With all the patterns found in this study, the understanding of glacial persistence of forest, respectively forest-like structures and peatlands during Würm or even Riss glacial in Europe could be advanced. The congruencies among the analysed woodland and bog species illustrate the importance and location of extra-Mediterranean refugia for European mountain forests and the glacial presence of Central European peatlands. Thus, already postulated theories could be supported and further pieces of the overall puzzle could be added. The varieties of the different survival centres once more clarified that further phylogeographic studies on mountain forest of different habitat requirements and especially peatland species have to be implemented to get a clearer picture of the glacial history of these habitats.