2023
CHARBONNEL ANAIS et al., « Data and code to model the marine distribution of the European sturgeon by joining global change and recovery scenarios », Recherche Data Gouv, ID : 10.57745/YV4CP8
Data and R Code for the manuscript entitled "Travelling away from home? Joining global change and recovery scenarios to anticipate the marine distribution of diadromous fish" published in Ecological Indicators. This deposit contains : 1/ The pdf file (Read_me.pdf) describing in more details Data and R Code as well as the study conducted; 2/ The CSV data file (DATASET_sturio.csv) including the data frame with presences (1990-2022) and pseudo-absences of the European sturgeon, and the five final variables selected in the final ensemble model. Future environmental variables used to make projections are also displayed for three temporal periods: FUTUR1 (2023-2052), FUTUR2 (2047-2076) and FUTUR3 (2070-2099). This file also contains the dispersal variables (i.e. distance to home) used to make projections in twelve river systems (10 currently unoccupied rivers with simulated stocking and 2 rivers with currently sustained population), to simulate recovery scenarios. The grid cell resolution is 10 x 10 km; 3/ The R Code (Script_Calibrate_Project_Ensemble_Models.R) including data input and formatting, the ensemble modelling approach as well as the projections under scenarios of global change and population recovery, using the R package 'biomod2'.