Social and ecological networks supporting biodiversity and food security

Projekt: Forschung

Projektbeteiligte

Beschreibung

SENet is funded by a Horizon 2020/Marie Sklodowska-Curie Incoming Fellowship. The Fellow is Arvid Bergsten from Sweden. Leuphana is acting as host institution and Professor Joern Fischer as scientific mentor.
Project description:
Halting biodiversity decline and ensuring food security are urgent and interconnected challenges. A. Bergsten will study how social and ecological structures in interaction generate tradeoffs and synergies between food security and biodiversity conservation. SENet has two aims: A) to identify ecological and socioeconomic structures that benefit or harm food security and biodiversity conservation in a rural, poor study landscape, and B) to develop an integrated network model capable of predicting such effects in similar settings worldwide. Globally, SENet will be the first research to apply (graph-theoretic) network analysis to understand synergies and tradeoffs in the food security–biodiversity nexus. A. Bergsten will develop the integrated model using data from a landscape in Ethiopia, where agricultural expansion and humanwildlife
conflicts are driving deforestation. SENet differs from existing approaches that concentrate on increasing agricultural output and overlook that social and ecological outcomes are interdependent and cannot be understood separately. In contrast, Bergsten´s method focuses on the food security of rural villages and on the factors that prompt farmers to clear or to plant forest, to change crops, to migrate elsewhere, etc., i.e., on farmers' decisions that affect both food security and biodiversity. In this context, A. Bergsten will use systematic network analysis to show how farmers are connected through food trade, knowledge exchange and other socioeconomic processes, but also how their crop fields are linked to forests and human–wildlife conflicts. The implementation of SENet will draw on his skills in network analysis and Leuphana´s research excellence on the biodiversity of agricultural landscapes, including the ongoing fieldwork in his study area. This setup ensures a theoretical and empirical foundation for Bergsten´s network models, and a forum for communicating the results to non-academic actors in Ethiopia and Europe.
AkronymSENet
StatusAbgeschlossen
Zeitraum15.01.1617.03.18

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  1. Profanität
  2. Experiences of i-Kiribati with labor mobility schemes
  3. Attitudes towards computers and information technology at three universities in Germany, Belgium, and the U.S.
  4. Rosa
  5. SAMT
  6. Doing Gender – Doing Space – Doing Body
  7. The multimedial challenge
  8. Accounting for Eco-Efficiency
  9. Multiphoton ionization of magnesium and calcium atoms by short and intense laser pulses
  10. Guidance for assessing interregional ecosystem service flows
  11. A holistic approach to studying social-ecological systems and its application to Southern Transylvania
  12. Preserving Soils for Life
  13. Governance Challenges at the Interface of Food Security and Biodiversity Conservation
  14. LCSA in the regions - state of the art, mainstreaming conditions and upscaling approaches
  15. Resolving conflicts between people and over time in the transformation toward sustainability
  16. Leverage points for sustainability transformation
  17. A Matter of Framing: Analyzing Value Communication in Sustainable Business Models
  18. Flavonoids as benign substitutes for more harmful synthetic chemicals - effects of flavonoids and their transformation products on algae
  19. Measuring Variation in Gaze Following Across Communities, Ages, and Individuals
  20. Self-regulatory thought across time and domains
  21. Asking elaborate questions: Focus groups and the management of spontaneity
  22. Principles for knowledge co-production in sustainability research
  23. Perspective as Practice. Renaissance Cultures of Optics, (About the development of optics and perspective between the fifteenth and seventeenth centuries) (TECHNE 1) Dupré, Sven (ed.): Brepols, Turnhout 2019
  24. Artificial empathy in healthcare chatbots