Das Wissen über Distanzen zwischen Objekten in unserer Umwelt versetzt uns in die Lage, Wege wiederzufinden oder zu entscheiden, welcher von zwei verschiedenen Wegen schneller zum Ziel führt. Zur Frage, wie diese Informationen im Gedächtnis abgespeichert werden, gibt es unterschiedliche Modellvorstellungen. Ziel dieser Arbeit war es, diese Modelle auf experimentellem Wege gegeneinander zu testen. Die Versuchspersonen lernten Routen, indem sie durch virtuelle Umgebungen am Computermonitor navigierten. Anschließend sollten sie aus dem Gedächtnis Distanzen zwischen einzelnen Objekten in der gelernten Umgebung einschätzen. Der Zeitbedarf für diese Schätzungen wurde verwendet, um Rückschlüsse auf die zugrunde liegende Raumrepräsentation zu ziehen. In einem ersten Teil der Arbeit wurde untersucht, wie Distanzen entlang von Wegen repräsentiert sind. Die Ergebnisse stützen die Auffassung, daß diese Schätzungen durch mentales Absuchen einer kartenähnlichen Repräsentation zustande kommen. In einem zweiten Teil der Arbeit wurde untersucht, welche Repräsentationsform Menschen in die Lage versetzt, Luftliniendistanzen zwischen Orten zu schätzen. Die Reaktionszeiten deuten darauf hin, daß diese Distanzen nicht während der Schätzung aus den Weglängen rekonstruiert werden, sondern ebenfalls durch ein Absuchen kartenartiger Repräsentationen ermittelt werden. Die Ergebnisse widersprechen somit der Auffassung, daß die Wiedergabe räumlicher Relationen aus dem Gedächtnis durch eine Verknüpfung explizit kodierter Relationen geschieht, die beim räumlichen Lernen perzeptiv zugänglich sind. Vielmehr ist davon auszugehen, daß schon bei der Enkodierung ein hohes Maß an räumlicher Integration stattfindet.

In modern society poverty is understood not as a state of absolute economic deprivation but as an extreme case of social inequality, as "poverty in affluence", and the concept of poverty is multidimensional, containing subjective and objective dimensions as well as multiple deprivations. As poverty is often associated with stigmatisation and social exclusion one may therefore assume that the poor are socially isolated. Arguments supporting a relation between social isolation and poverty come from poverty and segregation research and from theories of social exclusion and social closure. Using data from the German Socio-Economic Panel (GSOEP) the author shows that poverty leads to loneliness and that the poor are restricted in the realisation of certain social contacts. Among the poor subgroups can be identified whose social integration is precarious and the transition to social isolation fluent. People who cannot cope with economic hardship as well as those in persistent poverty are more likely to be affected by the consequences of poverty on social relationships than others and this is especially true for the poorest among the poor. Although the findings do not suggest that poverty directly leads to social isolation, they demonstrate that the poor face a high risk of being isolated and that certain aspects associated with poverty (i.e. persistence of poverty) may lead to complete and ongoing isolation.

Soil and water conservation are cross-sectional assignments. The respective objectives of the individual interest groups cause conflicts of use and lead to different assessments of the soil's potential. Necessary decisions and the practical implementation of soil and water conservation measures require the use of data. These data, which are both spatial and temporal, characterise past, present and, in the case of predictions, also future environmental conditions. The multitude of relevant data necessitates the use of geographic information systems as an instrument for successful resource management. With the use of problem-oriented case studies, it was possible to show that an improved understanding of the system is necessary for both optimisation of the site-specific resource management within the framework of Precision Farming and for the assessment of local to regional conflicts of use with regard to land usage and soil and water conservation. By changing the method, sufficient respective measures regarding documentation, prevention and risk assessment were able to be introduced and implemented. With the objective of practical implementation of a sustainable resource management, the possibilities of short- to long-term initiation of self-organised systems through the networking of available (geo-)information as well as the respective interest groups involved in the conflict of use formed the focal point of this investigation. The creation of networks linking agriculture, water extractors and nature conservation promotes necessary synergies and emergences, due to increased communication. Not the conveyance of knowledge alone, but rather new forms of understanding cause the interest groups involved to change their behaviour, thus facilitating efficient resource management for the interests of soil and water conservation.

By means of complex interaction-processes sea ice not only modifies the regional climate in the ocean-atmosphere-sea-ice system but also the general circulation of the atmosphere and the ocean's circulation. Besides a strong interannual variability sea-ice extent shows an arcticwide significant negative trend during the last two decades with maximum rates in spring and summer. These are often linked to (small-scale) processes in the Siberian Arctic and the Laptev Sea, respectively. The objective of this thesis is the expansion of the understanding of the processes concerning atmosphere-sea-ice interactions on the regional scale during the summer from 1979 to 2002 in the Arctic with a special emphasis on the Laptev Sea. To achieve this, numerical simulations of the regional climate model HIRHAM4 are used in conjunction with ground- and satellite-based observational data. A precondition for the numerical experiments and the realistic reproduction of atmospheric processes is an improved lower boundary forcing dataset for HIRHAM4 based on observational datasets, which is developed, validated and described. To investigate the effects of the sea-ice distribution, its properties and small-scale features on the atmosphere, HIRHAM4 is used in sensitivity studies systematically with different model settings, each of which incorporates the lower boundary forcing data in a different manner. Even little changes in the lower boundary forcing fields, while retaining the lateral boundary forcing, are sufficient to cause the model to produce significantly different atmospheric circulation patterns relative to the control simulations which use standard forcings and settings. Cyclone activity, which is a special focus of this study, is also altered. The mean atmospheric circulation patterns and the near-surface air temperature distribution can be reproduced more realistically with the new forcing dataset, which is shown by validation experiments with observational data. The biggest relative impact, besides an altered sea-ice coverage and distribution, can be reached by using sea-ice concentrations instead of a binary sea-ice mask. By utilizing sea-ice drift data, dynamic and thermodynamic processes can be partially separated from each other to investigate the development of sea-ice anomalies in the Laptev Sea. They depend on a time-critical succession of atmospheric conditions and the properties of sea ice during May and August. Positive air temperature anomalies are identified to be the key driving factors for the development of negative sea-ice anomalies. They are found to be a result of enhanced short-wave radiation balances, which are coupled to high pressure areas and intermediate anticyclones. The polynyas during early summer seem to have an important influence too. Because of lower process rates, the wind-induced sea-ice drift is enhancing and damping the development of the sea-ice area anomalies, but it cannot cause an anomaly all by itself. A precise separation of the effectiveness of the sea-ice transport and the melting rates is not possible due to the available data.