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1. Reconciling conservation and socioeconomic development goals is key to sus- tainability but remains a source of fierce debate. Protected areas (PAs) are be- lieved to play an essential role in achieving these seemingly conflicting goals. Yet, there is limited evidence as to whether PAs are actually achieving the two goals simultaneously. 2. Here, we investigate when and to what extent synergies or trade- offs between biodiversity conservation and local socioeconomic development occur. To ex- plore these relationships, we collected data across a wide range of socioeco- nomic settings through face-to-face survey with PA managers from 114 African and European PAs using structured questionnaire. 3. We found synergies between biodiversity conservation and socioeconomic development for 62% of the PAs, albeit with significant differences between African (55%) and European PAs (75%). Moreover, the sustainability of PAs in conserving biodiversity was strongly correlated with the empowerment of the PA management and the involvement of local communities in PA planning and decision-making processes. 4. Our results demonstrate that for PAs to promote synergies between biodiver- sity conservation and local socioeconomic development, and to enhance their long-term sustainability, they should invest in the empowerment of their respec- tive management and involvement of local communities in their planning and management activities

Hunting and its impacts on wildlife are typically studied regionally, with a particular focus on the Global South. Hunting can, however, also undermine rewilding efforts or threaten wildlife in the Global North. Little is known about how hunting manifests under varying socioeconomic and ecological contexts across the Global South and North. Herein, we examined differences and commonalities in hunting characteristics across an exemplary Global South-North gradient approximated by the Human Development Index (HDI) using face-to-face interviews with 114 protected area (PA) managers in 25 African and European countries. Generally, we observed that hunting ranges from the illegal, economically motivated, and unsustainable hunting of herbivores in the South to the legal, socially and ecologically motivated hunting of ungulates within parks and the illegal hunting of mainly predators outside parks in the North. Commonalities across this Africa-Europe South-North gradient included increased conflict-related killings in human-dominated landscapes and decreased illegal hunting with beneficial community conditions, such as mutual trust resulting from community involvement in PA management. Nevertheless, local conditions cannot outweigh the strong effect of the HDI on unsustainable hunting. Our findings highlight regional challenges that require collaborative, integrative efforts in wildlife conservation across actors, while identified commonalities may outline universal mechanisms for achieving this goal.

Despite conservation commitments, most countries still lack large-scale biodiversity monitoring programs to track progress toward agreed targets. Monitoring program design is frequently approached from a top-down, data-centric perspective that ignores the socio-cultural context of data collection. A rich landscape of people and organizations, with a diversity of motivations and expertise, independently engages in biodiversity monitoring. This diversity often leads to complementarity in activities across places, time periods, and taxa. In this Perspective, we propose a framework for aligning different efforts to realize large-scale biodiversity monitoring through a networked design of stakeholders, data, and biodiversity schemes. We emphasize the value of integrating independent biodiversity observations in conjunction with a backbone of structured core monitoring, thereby fostering broad ownership and resilience due to a strong partnership of science, society, policy, and individuals. Furthermore, we identify stakeholder-specific barriers and incentives to foster joint collaboration toward effective large-scale biodiversity monitoring.

The dissertation builds a bridge from the social-philosophical works of Hobbes, Rousseau, and Smith to current game theoretical models explaining social order to two empirical applications in a rural region of Guinea. The work focuses on the central role of natural resources for human societies and uses two empirical studies to test general hypotheses on the drivers of the sustainable exploitation and the equitable distribution of natural resources. The work strictly follows a quantitative empirical approach. After discussing the methodological foundations of statistical causal analysis in a first step, the various approaches are evaluated in a simulation study. Finally, the most successful of these approaches finds its application in the analysis of the empirical data, which was collected during field research in Guinea. In the observational study, socioeconomic data are combined with environmental data to model the influence of humans on the occurrence of wild species that are exploited for economic purposes in the study area. In the experimental study, socioeconomic data is linked to experimental data from a resource distribution game to identify factors affecting the people’s behavior when sharing a common natural resource. Both the exploitation of wild species and the sharing of a natural resource show that the social context is crucial for the understanding of human behavior, as postulated by Hobbes, Rousseau, and Smith: reputation, market integration, inequality and homogeneity of the population, as well as the salience of moral norms and property rights are essential dimensions., Die Dissertation widmet sich der zentralen Rolle von natürlichen Ressourcen für menschliche Gesellschaften. Anhand zweier empirischer Studien werden allgemeine Hypothesen zu den Determinanten der nachhaltigen Ausbeutung und gerechten Verteilung von natürlichen Ressourcen getestet. Dabei wird in der Arbeit eine Brücke von den Werken der Sozialphilosophen Hobbes, Rousseau und Smith, über aktuelle spieltheoretische Modelle zur Erklärung sozialer Ordnung, hin zu zwei empirischen Anwendungen in einer ländlichen Region Guineas geschlagen. Die Arbeit folgt strikt einem empirischen quantitativen Ansatz. Nach der Erörterung der methodischen Grundlagen der statistischen Kausalanalyse werden die verschiedenen Ansätze im Rahmen einer Simulationsstudie evaluiert. Schließlich findet der erfolgreichste dieser Ansätze in der Auswertung der Daten, die bei der Feldforschung in Guinea erhoben wurden, Anwendung. In der Beobachtungsstudie werden sozioökonomische Daten mit ökologischen Daten verknüpft, um den Einfluss der Menschen auf das Vorkommen von wilden Arten, die zu ökonomischen Zwecken ausgebeutet werden, im Untersuchungsgebiet zu modellieren. In der Experimentalstudie werden sozioökonomische Daten mit Experimentaldaten aus einem Ressourcenverteilungsspiel verknüpft, um Faktoren zu identifizieren, welche sich auf das Verhalten von Menschen beim Teilen einer gemeinsamen natürlichen Ressource auswirken. Sowohl für die Ausbeutung der wilden Arten, wie auch für das gemeinsame Teilen einer natürlichen Ressource gilt, dass der soziale Kontext für das Verhalten der Menschen von großer Relevanz ist, wie von Hobbes, Rousseau und Smith postuliert: Reputation, Marktintegration, Ungleichheit und Homogenität der Bevölkerung sowie die Salienz moralischer Normen und Eigentumsrechte sind entscheidende Dimensionen.