SENet · Social and ecological networks supporting biodiversity and food security
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2016-01-15 → 2018-03-17
- EU contribution
- €171,461
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
Lines connect the coordinator with its partners.
Results in brief
Social and ecological networks supporting biodiversity and food security
Sustainability issues cannot be separated from their social and biophysical context, and collaborative governance responses to interdependent sustainability issues are inherently complex. Previous empirical research has not adequately captured whether or not collaboration networks are matching the patterns among multiple sustainability issues that are interdependent and thus influencing each other, such as livelihoods, infrastructure, food security, biodiversity and land use. Failing to address this match or mismatch increases the risk that the policies and management responses will be inefficient or have unforeseen and even adverse consequences. In the Jimma zone, a rural area in southwest Ethiopia, I investigated if and how different types of collaborative institutions improved how interlinked sustainability issues are managed (objective B), with focused studies on biodiversity conservation and food security in poor farming households (objective A). Objective A was to investigate if and how informal small-group traditional collaboration among smallholder farmers influenced their food sovereignty and crop choices. Collaboration is generally assumed to have many positive effects, but little research has actually measured the outcomes. I made 183 household interviews to investigate three types of traditional informal ways of collaboration, in which farmers help with each other’s crops, and mitigate and share crop losses by joint planning, cultivating and by crop guarding against animal pest. In the local language Oromoo these institutions are called the didaro, the dado and daboo. Among my research questions were: To what extent and under which conditions is the dado, daboo and didaro improving household food security and diversity? Who gets to mobilize cooperative labor and what are the individual and structural barriers for participating? Among the preliminary conclusions are that traditional collaboration improved household food security, significantly reduced crop losses to wild animals, facilitated social learning and trust, but at the cost of a slightly limited individual freedom over crop choice. Objective B included two main tasks: • To design a conceptual and analytical model of how governance gaps arise when collaborative governance responses fail to recognize how sustainability issues and actors are interlinked. I did this by modelling the intersection of two networks: an actor-collaboration network, and a network of interlinked societal issues (Fig.1–2). • To identify critical governance gaps in southwest Ethiopia consisting of 60 actors and 38 sustainability issues, by applying my network model (Fig.3–4). I differentiated between integrative governance gaps that arise when interdependent issues are managed in separation without recognizing their interdependencies, versus collaborative gaps that arise when actors working on common issues do not collaborate (Fig.2). One of my conclusions is that it that actors and policymakers should, in order to be cost-effective, (re)allocate resources to the most pressing governance gaps, which I in southwest Ethiopia identified as: forest and wildlife issues (collaborative gaps), and the access provision of finance, transportation, schools, food and crop markets (integrative gaps, see Fig. 4–5).
Data: CORDIS, © European Union
Project objective
Halting biodiversity decline and ensuring food security are urgent and interconnected challenges. I 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. I will develop the integrated model using data from a landscape in Ethiopia, where agricultural expansion and human-wildlife 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, my 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, I 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 my skills in network analysis and the host’s research excellence on the biodiversity of agricultural landscapes, including their ongoing fieldwork in my study area. This setup ensures a theoretical and empirical foundation for my network models, and a forum for communicating my results to non-academic actors in Ethiopia and Europe.
Original text from CORDIS.
Participants
- LEUPHANA UNIVERSITAT LUNEBURG · LUNEBURGCoordinatorGermany
Links
Data: CORDIS, © European Union
