You will be in charge of developing predictive indicators of the impact of agricultural landscape structure (composition and configuration) and cropping/grassland systems (tillage, pesticide and fertilizer use, grassland management etc.) on biodiversity. These indicators will be based on a model taking in to account the effect of management options at field and landscape levels, as well as their interactions, on richness or abundance of different taxonomic groups (birds, wild bees, earthworms, plants etc.). This model will be built using a combination of data mining and literature review. The latter will allow filling gaps left by the data mining approach (e.g. lack of variability in the percentage of organic fields). The literature research will focus on the most recent knowledge on the effects of landscape variables and practices on biodiversity, as well as interactions between field and landscape management variables. The validity of the model will be tested by comparing its output with in-situ data on biodiversity. A sensitivity analysis will also be conducted to assess how uncertainties in the weight of management options and their interactions may impact model outcomes. Biodiversity indicators will be included in the integrated assessment and modelling platform MAELIA (https://www.maelia-iam.fr/) to carry out dynamic multicriteria assessment of farming system sustainability.
You will be in charge of conducting the following tasks, in interaction with the scientists of the project: conducting the literature search, collating and analysing data sets, developing the operational model, conducting sensitivity analysis; publishing and presenting the method and the tool in international congress.
You will be based at the LAE unit (Laboratory Agronomy and Environment) at the INRAE Grand-Est Colmar center. Within LAE, you will join a group of researchers working on the agroecological transition of agricultural systems by characterizing, modelling, evaluating and studying trade-off between bioeconomic and agroecological goals (Axis 3).
The research work will be carried out as part of the EMOTIONS project (2025-2028), funded by the French Agency for Ecological Transition and the CEDRE (2026-2030) project funded by the Agralife Agency steered by INRAE to coordinate the French research on agriculture. The project will be run by Christian Bockstaller and Olivier Therond (INRAE-LAE), in collaboration with Clélia Sirami (INRAE-Dynafor).
For further details and to apply: https://jobs.inrae.fr/en/ot-27108
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