Résumé
R script to define species that are potential key contributor to a given ecosystem service.Step 1: The goal is to model a given ecosystem service (Y) according to Environmental (E) and Socio-Economic conditions (SE) and species richness (R); to check its relevance according to its explanatory power and to save its Akaike Information Criterion (AIC_M0) as a reference for the next.Step2: The goal is to identify species key for the studied ecosystem service (Y) adding each candidate species (presence-absence) as an additional explanatory variable to M0 to compute model M1 and its associated AIC (AIC_M1). Finally, a species is declared as a key potential contributor to the ecosystem service if ΔAIC (AIC_M0-AIC_M1) > 4 and if its partial effect is positive (positive coefficient in the model).Here we apply this framework to define the "key fish species" for fish biomass and live coral cover.Code by Eva Maire (eva.maire@umontpellier.fr). Last update on 2018-06-26. This code provides results of analysis used in Maire, E., Villéger, S., Graham, N., Hoey, A., Cinner, J.,Ferse, S., Aliaume, C, Booth, D., Feary, D., Kulbicki, M., Sandin, S., Vigliola, L. & Mouillot, D. (2018). Community-wide scan identifies fish species associated to coral reef services globally. Proceedings B.