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Educational researchers have intensively investigated students" academic self-concept (ASC) and self-efficacy (SE). Both constructs are part of the competence-related self-perceptions of students and are considered to support students" academic success and their career development in a positive manner (e.g., Abele-Brehm & Stief, 2004; Richardson, Abraham, & Bond, 2012; Schneider & Preckel, 2017). However, there is a lack of basic research on ASC and SE in higher education in general, and in undergraduate psychology courses in particular. Therefore, according to the within-network and between-network approaches of construct validation (Byrne, 1984), the present dissertation comprises three empirical studies examining the structure (research question 1), measurement (research question 2), correlates (research question 3), and differentiation (research question 4) of ASC and SE in a total sample of N = 1243 psychology students. Concerning research question 1, results of confirmatory factor analysis (CFAs) implied that students" ASC and SE are domain-specific in the sense of multidimensionality, but they are also hierarchically structured, with a general factor at the apex according to the nested Marsh/Shavelson model (NMS model, Brunner et al., 2010). Additionally, psychology students" SE to master specific psychological tasks in different areas of psychological application could be described by a 2-dimensional model with six factors according to the Multitrait-Multimethod (MTMM)-approach (Campbell & Fiske, 1959). With regard to research question 2, results revealed that the internal structure of ASC and SE could be validly assessed. However, the assessment of psychology students" SE should follow a task-specific measurement strategy. Results of research question 3 further showed that both constructs of psychology students" competence-related self-perceptions were positively correlated to achievement in undergraduate psychology courses if predictor (ASC, SE) corresponded to measurement specificity of the criterion (achievement). Overall, ASC provided substantially stronger relations to achievement compared to SE. Moreover, there was evidence for negative paths (contrast effects) from achievement in one psychological domain on ASC of another psychological domain as postulated by the internal/external frame of reference (I/E) model (Marsh, 1986). Finally, building on research questions 1 to 3 (structure, measurement, and correlates of ASC and SE), psychology students" ASC and SE were be differentiated on an empirical level (research question 4). Implications for future research practices are discussed. Furthermore, practical implications for enhancing ASC and SE in higher education are proposed to support academic achievement and the career development of psychology students.
Monetary Policy During Times of Crisis - Frictions and Non-Linearities in the Transmission Mechanism
(2017)
For a long time it was believed that monetary policy would be able to maintain price stability and foster economic growth during all phases of the business cycle. The era of the Great Moderation, often also called the Volcker-Greenspan period, beginning in the mid 1980s was characterized by a decline in volatility of output growth and inflation among the industrialized countries. The term itself is first used by Stock and Watson (2003). Economist have long studied what triggered the decline in volatility and pointed out several main factors. An important research strand points out structural changes in the economy, such as a decline of volatility in the goods producing sector through better inventory controls and developments in the financial sector and government spending (McConnell2000, Blanchard2001, Stock2003, Kim2004, Davis2008). While many believed that monetary policy was only 'lucky' in terms of their reaction towards inflation and exogenous shocks (Stock2003, Primiceri2005, Sims2006, Gambetti2008), others reveal a more complex picture of the story. Rule based monetary policy (Taylor1993) that incorporates inflation targeting (Svensson1999) has been identified as a major source of inflation stabilization by increasing transparency (Clarida2000, Davis2008, Benati2009, Coibion2011). Apart from that, the mechanics of monetary policy transmission have changed. Giannone et al. (2008) compare the pre-Great Moderation era with the Great Modertation and find that the economies reaction towards monetary shocks has decreased. This finding is supported by Boivin et al. (2011). Similar to this, Herrera and Pesavento (2009) show that monetary policy during the Volcker-Greenspan period was very effective in dampening the effects of exogenous oil price shocks on the economy, while this cannot be found for the period thereafter. Yet, the subprime crisis unexpectedly hit worldwide economies and ended the era of Great Moderation. Financial deregulation and innovation has given banks opportunities for excessive risk taking, weakened financial stability (Crotty2009, Calomiris2009) and led to the build-up of credit-driven asset price bubbles (SchularickTaylor2012). The Federal Reserve (FED), that was thought to be the omnipotent conductor of price stability and economic growth during the Great Moderation, failed at preventing a harsh crisis. Even more, it did intensify the bubble with low interest rates following the Dotcom crisis of the early 2000s and misjudged the impact of its interventions (Taylor2009, Obstfeld2009). New results give a more detailed explanation on the question of latitude for monetary policy raised by Bernanke and suggest the existence of non-linearities in the transmission of monetary policy. Weise (1999), Garcia and Schaller (2002), Lo and Piger (2005), Mishkin (2009), Neuenkirch (2013) and Jannsen et al. (2015) find that monetary policy is more potent during times of financial distress and recessions. Its effectiveness during 'normal times' is much weaker or even insignificant. This prompts the question if these non-linearities limit central banks ability to lean against bubbles and financial imbalances (White2009, Walsh2009, Boivin2010, Mishkin2011).
Digital libraries have become a central aspect of our live. They provide us with an immediate access to an amount of data which has been unthinkable in the past. Support of computers and the ability to aggregate data from different libraries enables small projects to maintain large digital collections on various topics. A central aspect of digital libraries is the metadata -- the information that describes the objects in the collection. Metadata are digital and can be processed and studied automatically. In recent years, several studies considered different aspects of metadata. Many studies focus on finding defects in the data. Specifically, locating errors related to the handling of personal names has drawn attention. In most cases the studies concentrate on the most recent metadata of a collection. For example, they look for errors in the collection at day X. This is a reasonable approach for many applications. However, to answer questions such as when the errors were added to the collection we need to consider the history of the metadata itself. In this work, we study how the history of metadata can be used to improve the understanding of a digital library. To this goal, we consider how digital libraries handle and store their metadata. Based in this information we develop a taxonomy to describe available historical data which means data on how the metadata records changed over time. We develop a system that identifies changes to metadata over time and groups them in semantically related blocks. We found that historical meta data is often unavailable. However, we were able to apply our system on a set of large real-world collections. A central part of this work is the identification and analysis of changes to metadata which corrected a defect in the collection. These corrections are the accumulated effort to ensure data quality of a digital library. In this work, we present a system that automatically extracts corrections of defects from the set of all modifications. We present test collections containing more than 100,000 test cases which we created by extracting defects and their corrections from DBLP. This collections can be used to evaluate automatic approaches for error detection. Furthermore, we use these collections to study properties of defects. We will concentrate on defects related to the person name problem. We show that many defects occur in situations where very little context information is available. This has major implications for automatic defect detection. We also show that properties of defects depend on the digital library in which they occur. We also discuss briefly how corrected defects can be used to detect hidden or future defects. Besides the study of defects, we show that historical metadata can be used to study the development of a digital library over time. In this work, we present different studies as example how historical metadata can be used. At first we describe the development of the DBLP collection over a period of 15 years. Specifically, we study how the coverage of different computer science sub fields changed over time. We show that DBLP evolved from a specialized project to a collection that encompasses most parts of computer science. In another study we analyze the impact of user emails to defect corrections in DBLP. We show that these emails trigger a significant amount of error corrections. Based on these data we can draw conclusions on why users report a defective entry in DBLP.
Pränatal, postnatal und aktuell auftretende chronische Stressbelastung sind bedeutsame Risikofaktoren für mentale und körperliche Beeinträchtigungen im Erwachsenenalter. Ziel dieser Dissertationsschrift ist es, den Einfluss von Stress im Lebenslauf (pränatale, postnatale, aktuelle Stressbelastung) auf verschiedene Erschöpfungsvariablen und Depressivität zu analysieren und mögliche Mediatoreffekte von aktuell auftretendem Stress auf Assoziationen zwischen pränatalem bzw. postnatalem Stress und Erschöpfung bzw. Depressivität zu bestimmen. Zur Prüfung dieser Fragestellung wurden Daten von chronisch gestressten Lehrpersonen (N = 186; 67,70% weiblich) ohne Diagnose für eine psychische Erkrankung sowie von Hausarzt- (N = 473; 59% weiblich) und Klinikpatienten (N = 284; 63,7% weiblich) mit mindestens einer stressbezogenen mentalen Gesundheitsstörung erhoben. Prä-postnataler Stress, subjektive Erschöpfung und Depressivität wurden in allen Stichproben erfasst, aktuelle Stressbelastung und Poststresssymptome in den Patientenstichproben. Zusätzlich wurden konzeptuelle Endophänotypen als psychobiologisches Erschöpfungsmaß in beiden Patientenstichproben sowie Übernachtaktivität des parasympathischen Nervensystems als Maß vagaler Erholung in der Hausarztstichprobe operationalisiert. Bei den Lehrpersonen wurde anhand univariater Varianzanalysen analysiert, ob Lehrkräfte mit frühkindlicher Belastung unterschiedliche Erschöpfungs- bzw. Depressionswerte aufwiesen im Vergleich zu Lehrkräften ohne frühkindliche Belastung. In den Patientenstichproben wurden multiple und binärlogistische Regressionsmodelle verwendet, um Assoziationen zwischen pränatalem, postnatalem sowie aktuellem Stress mit Erschöpfung, Depressivität, den konzeptuellen Endophänotypen der Neuropattern-Diagnostik sowie Übernachtaktivität des parasympathischen Nervensystems (nur bei Hausarztpatienten) zu prüfen. Mögliche Mediatoreffekte aktueller Stressbelastung auf Assoziationen zwischen pränatalem und postnatalem Stress mit Erschöpfung, Depressivität, der konzeptuellen Endophänotypen bzw. der Übernachtaktivität des parasympathischen Nervensystems (nur bei Hausarztpatienten) wurden bestimmt. Ad hoc wurde mittels zusätzlich ein möglicher Moderatoreffekt von pränatalem Stress auf die Assoziation zwischen aktuellem Stress und der Übernachtherzrate getestet. Pränataler Stress war bei sonst gesunden Lehrkräften mit einer stärker ausgeprägten Gratifikationskrise und höherer emotionaler Erschöpfung assoziiert. Postnataler Stress ging mit höheren Werten für Depressivität, Anstrengungs-Belohnungs-Ungleichgewicht, der MBI Gesamtskala, emotionaler Erschöpfung und vitaler Erschöpfung einher. Sowohl bei Hausarzt- als auch bei Klinikpatienten waren aktuelle psychosoziale Belastung und aktuelle Beeinträchtigung durch Lebensereignisse mit Depressivität, Erschöpfung und Poststress assoziiert. Bei Hausarztpatienten sagte aktuelle Stressbelastung eine erhöhte Odds Ratio der Noradrenalin-Hypoaktivität sowie Serotonin-Hyperreaktivität vorher; bei Klinikpatienten für Noradrenalin-Hypoaktivität. Des Weiteren zeigten Hausarztpatienten mit starker psychosozialer Belastung erhöhte parasympathische Aktivität über Nacht. Bei Hausarztpatienten ist hoher pränataler Stress assoziiert mit wahrgenommener psychosozialer Belastung, aktuellen Lebensereignissen und Poststresssymptomen. Pränataler Stress ging mit einer verringerten vagalen Aktivität einher. Weiter ist postnataler Stress assoziiert mit Depressivität, wahrgenommener psychosozialer Belastung, aktuellen Lebensereignissen, Erschöpfung und Poststresssymptomen sowie einem erhöhten Odds Ratio für die Noradrenalin-Hypoaktivität sowie mit CRH-Hyperaktivität. Die Assoziationen zwischen pränatalem bzw. postnatalem Stress und Poststress, Erschöpfung, Depressivität und Noradrenalin-Hypoaktivität wurden signifikant durch aktuelle Stressbelastung mediiert. Die Assoziation zwischen aktuellem Stress und parasympathischer Aktivität über Nacht wurde durch pränatalen Stress moderiert: Bei geringer bis mittlerer nicht aber bei hoher pränataler Belastung ging eine hohe psychosoziale Belastung mit erhöhter Übernachtaktivität des parasympathischen Nervensystems einher. Bei Klinikpatienten zeigten sich keine signifikanten Zusammenhänge zwischen pränatalem bzw. postnatalem Stress und Erschöpfung bzw. Depressivität. Pränataler Stress kann trophotrope Funktionen beeinträchtigen und damit die Vulnerabilität für Erschöpfung und Depressivität erhöhen. Fortgesetzte postnatale und aktuelle Stressbelastung erhöhen den kumulativen Stress im Lebenslauf einer Person und tragen zu psychobiologischen Dysfunktionen sowie Erschöpfung und Depressivität bei.
Die Untersuchung widmet sich dem Verhältnis von Kunst und Fernsehen in Deutschland seit den 1960er Jahren bis heute unter Berücksichtigung des gesellschaftlichen und künstlerischen Diskurses. In den 1960er Jahren begann die Zusammenarbeit von Künstlern und dem Fernsehen mit Projekten wie "Black Gate Cologne" oder Gerry Schums "Fernsehgalerie" äußerst vielversprechend. In enger Zusammenarbeit mit den Fernsehverantwortlichen wurden Sendungen speziell für die Ausstrahlung im Fernsehen produziert und auch als Fernsehkunst gesendet. Die Akzeptanz und Resonanz auf diese Projekte waren jedoch nach anfänglicher Euphorie bescheiden bis ablehnend. Allerdings führte dies nicht zu einem Scheitern und einer Rückverlagerung der Kunst in den Präsentationsort Museum oder Galerie, sondern zu einer Weiterentwicklung der Fernsehkunst bis in die heutige Zeit. Fernsehkunst hat sich ihrem Aufführungs- und Produktionskontext, aber auch bei der Wahl ihrer Themen der jeweiligen Epoche mit ihren technischen und kommunikativen Möglichkeiten sowie dem gesellschaftlichen Diskurs zu öffentlichkeitsrelevanten Themen anpasst. Fernsehkunst ist stets ein Spiegel der aktuellen Diskurse in Kunst und Gesellschaft. In der bisherigen Forschung wurde Fernsehkunst als gescheitert und damit als nicht mehr existent angesehen. Die Stigmatisierung des Fernsehens als reines Unterhaltungs- und Informationsmedium führte dazu, dass Fernsehkunst als Begriff und als Kunstgattung im öffentlichen und im wissenschaftlichen Diskurs nicht vorkam. Die typologische und inhaltliche Analyse hat jedoch gezeigt, dass Fernsehkunst in klarer Abgrenzung zur Videokunst auch gegenwärtig existiert.
Nos recherches ont exploré l’espace transculturel dans la dramaturgie québécoise contemporaine. Notre travail a été principalement basé sur le concept de transgressivité de Bertrand Westphal [WESTPHAL : 2007] et la notion de transculturalité proposée par Wolfgang Welsch [WELSCH : 1999].
La réflexion menée par Welsch nous a inspiré dans l’établissement des trois grands axes de notre analyse, autour desquels se sont articulées les dimensions transculturelles superposées : l’axe syncrétique, l’axe intime et l’axe cosmopolite. Ces axes ont déterminé le choix de notre corpus, provenant de l’époque transculturelle du Québec entre 1975 et 1995. L’axe syncrétique s’est dessiné à partir de la présence de cultures modernes interconnectées, où les façons de vivre ne se limitent pas aux frontières culturelles nationales. Elles les « transgressent » et se retrouvent dans d’autres cultures. L’axe intime découle de ce que les individus – le(s) Moi(s) – sont des hybrides culturels, chaque individu se formant par des attachements multiples. Ils interagissent entre eux, créant ainsi une transculturalité interne. L’axe cosmopolite renferme une dimension qui représente de nombreuses façons de vivre et diverses vies culturelles qui s’interpénètrent mutuellement. Elles interagissent entre elles, mais aussi avec des espaces considérés comme étant hors du contexte transculturel.
Nous avons tenu à développer notre projet autour des prémisses théoriques de la géocritique. Cela nous a conduit à établir une grille d’analyse spécifique afin de découvrir le mode de fonctionnement de l’espace humain transculturel. L’analyse s’est basée uniquement sur le texte dramatique. Des dispositifs inspirés de la géocritique ont dévoilé quelques caractéristiques primordiales des dimensions transculturelles superposées de la diversité québécoise.
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.
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.
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.