Complex agroecosystems can play a key role for maintaining and enhancing the provision of multiple nature benefits, also known as Ecosystem Services. The development of such systems requires a holistic approach, considering social and ecological dimensions. In my research I combine participatory and ecological methods to understand and explore the transition towards more sustainable and diversified agroecosystems.
Currently, we lack understanding of the incentives that farmers have to manage agrobiodiversity and the consequences of management for functional diversity and the provision of multiple ES. A farm typology will be conducted in the region to understand how socio-economic factors influence and relate to biodiversity in the agroecosystems. Together with farmers, the main ES for each land use unit will be identified and prioritized using Fuzzy Cognitive Maps.
In sequence, different ecosystems processes and properties related to the selected services will be quantified in the field. In parallel, tree and herb species presence and relative abundances will be combined with species functional trait data to estimate functional diversity properties for the selected landscape units. Different indexes of (functional) diversity will be then related to the selected ES.