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Stadtbewohner sind häufig mit multiplen Umweltbelastungen konfrontiert, die Stress erzeugen und zu einem Gesundheitsrisiko werden können. Dennoch ist wenig über das Zusammenwirken multipler Umweltstressoren und über das gesundheitliche Potential natürlicher Ressourcen bekannt. Diese Arbeit untersucht daher das Zusammenwirken multipler Stressoren und das Potential natürlicher Ressourcen hinsichtlich der psychischen Gesundheit. Auf Basis eines theoretischen Rahmenmodells erfolgten drei Studien in Berlin. Mittels Online-Studie wurden die für die Berliner Bevölkerung subjektiv kritischsten Umweltfaktoren identifiziert. Daran schloss sich eine Raumanalyse von Umweltdaten an, um Straßenblocks mit hohem versus geringen multiplen Belastungsgrad als Untersuchungsstandorte auszuwählen. In diesen Wohnblocks erfolgte eine Fragebogen-Studie. An einer Teilstichprobe wurden ergänzend qualitative Daten und Haar-Cortisol als objektiver Indikator für chronischen Stress gewonnen. Es zeigte sich, dass multiple Stressoren oder Ressourcen räumlich und zeitlich kovariieren. Die Bewohner hoch belasteter Blocks verhalten sich gesundheitsschädlicher als die Bewohner gering belasteter Blocks, unterscheiden sich jedoch nicht in ihrer Gesundheit. Allerdings besteht ein Zusammenhang zwischen der wahrgenommenen Luftverschmutzung und der subjektiven Gesundheit. Zudem weisen Personen, die sich durch Luftverschmutzung beeinträchtigter, belästigter oder gefährdeter fühlen, höhere Cortisol-Niveaus auf. Dieser Zusammenhang besteht nur bei objektiv hoher, nicht aber bei geringer Luftbelastung, was chronischen Umweltstress mit gesundheitlichen Folgen nahelegt. Schließlich sind der Blick auf eine hohe Quantität unterschiedlicher Vegetationsarten von der Wohnung aus, und die regelmäßige Nutzung spezifischer Grünflächen mit geringerem Cortisol-Niveau und teilweise mit höherer Lebenszufriedenheit assoziiert. Es werden mögliche Implikationen für eine nachhaltige Stadtentwicklung diskutiert. / City residents are often exposed to multiple environmental burdens that may cause stress and thereby pose a health risk. However, little is known about the co-occurrence of stressors, and on the health potential of natural resources. Thus, the aim of this study is to investigate the co-occurrence of multiple environmental burdens and the potential of natural resources with respect to the mental health of city residents. Based on a comprehensive theoretical model three consecutive studies were conducted in Berlin. An online survey facilitated the identification of critical local environmental factors. Subsequently a spatial analysis was conducted using a Geographic Information System in order to select neighborhood street blocks with high versus low multiple burden levels. A household survey was conducted in the selected study sites that additionally assessed the perceived level of other locally relevant burdens. Qualitative data and hair cortisol level as an objective indicator of chronic stress, were supplemented in a subsample. Results showed that either multiple stressors co-occurr or multiple resources are co-present. Residents from high-burden blocks behave in a less healthy manner than residents from low-burden blocks, but they do not differ in regard to health. However, perceived air pollution is related to perceived health. Moreover, individuals who feel more impaired, annoyed, or at risk by air pollution have higher cortisol levels. This relation exists with a high level of objective air pollution only, while no such relation exists when objective air pollution is low. This finding suggests chronic environmental stress with detrimental health consequences. Finally, residents whose homes have views onto high amounts of diverse kinds of vegetation, as well as who regularly use a park or a vegetated way have lower cortisol levels and partly report higher life satisfaction. The results have implications for sustainable urban development.

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In this thesis, a conceptual framework and related methodological approaches for complex system design are developed and tested. The approaches are based on insights from the fields of Systems Engineering (SE) and System-of-Systems Engineering (SoSE), as well as Natural Resources Management (NRM). The focus of this thesis is on: 1) the development of the System-of-Systems Design Framework “FRESCO”, 2) the development of a methodological framework for participatory systems design, 3) the application of the framework in two case studies, and 4) the development of an evaluation scheme to qualitatively measure the effectiveness of the methodological framework. The overall objectives of this doctoral dissertation are to highlight synergies between SE and NRM and to develop a methodological framework for designing decision making processes in a human-nature-technology context. The complexity of coupled and complex adaptive systems (CAS) such as the Water-Energy-Food Nexus (WEF-Nexus) and sustainability strategies, influences the design of decision-making processes and strategy building. Integrated process design which is promoted by the developed frameworks can assist in such tasks on an urban, regional, and national level.

Modern agriculture is causing a wide range of environmental problems. By regulating the agricultural sector, human societies try to find a balance between enabling the production of food and public goods and preventing negative consequences for the environment. In the European Union this is mainly achieved through the Common Agricultural Policy (CAP). Since many of the environmental indicators are still showing negative trends, an ongoing evaluation and adaptation of the policy instruments included in the CAP is asked for. At the same time, the field of policy evaluation is more and more incorporating a behavioral economic perspective on human behavior, one that deviates from the homo oeconomicus model that has long dominated research in this area. This thesis presents a study on “Behavioral Economics of Agri-Environmental Policies” by combining themes from agricultural and environmental economics with methods and perspectives from behavioral and experimental economics. It thereby contributes to the emerging field of behavioral agricultural economics. Specifically, it aims to shed light on the behavioral drivers of pro-environmental decisions of farmers and how these insights can be used to evaluate and adapt the CAP. With a lab-in-the-field experiment with farmers from Lower Saxony in Germany, an influence of the framing of the farmers’ societal role, their self-identity, as well as control aversion and feelings of warm glow on farmers’ behavior was uncovered. From a policy perspective, the results of this thesis provide a case for the continued use of both mandatory and voluntary policy instruments. Furthermore, with a Principal Components and Cluster Analysis, a multi-facetted picture of different farmer self-identities prevalent in the sample population was revealed. Based on a literature review, the thesis also provides an analysis of how behaviorally-informed interventions might increase the environmental performance of the CAP in the future.