Issam-Ali MOINDJIE

The objective of my internship was to analyze the interactions between ecosystem services (ES) in France using exploratory spatial data analysis tools. Then using spatial modeling, determine the factors (land use and biophysical variables) responsible for this interdependence. The last part aimed to understand how land uses are influenced by economic (land prices, etc.), demographic (population density) variables.
Following my internship, I was able to continue on a 3 months fixed-term contract within the UMR Economie Publique, where I was able to initiate a research paper from my internship report. We have generalized the approach to other ES and we have simulated the impact of land use change scenarios on ES. The preliminary results of this work in progress show that (1) land use and biophysical variables are good predictors of most ES (2) taking spatial autocorrelation into account improves the quality of the predictions of our models (3) the forest is the most favorable land use for the provision of regulatory ES compared to other land uses (agriculture, pasture, urban and others). Finally, we simulate two scenarios of land use change and show how the increase in forest area would favor the provision of multiple regulatory ES.