Recent vegetation shifts in the French Alps with winners outnumbering losers
Creators
- 1. Conservatoire Botanique National Alpin
-
2.
Laboratoire d'Écologie Alpine
- 3. CNRS en Alpes
Description
Description of the data and file structure
File1:
cbna_df.csv
Description: Raw dataset from the Conservatoire Botanique National Alpin.
Columns:
id_observation: ID for each observations.
time_period: Time period of the observation. The raw dataset contains 7 time period, but the first one was removed for the analysis.
cd_ref: National (France) taxonomic references.
x_centroid: Longitute (Lambert 93) of the centroid (5x5km).
y_centroid: Latitude (Lambert 93) of the centroid (5x5km).
File2:
Frescalo_output.csv
Description: This file is derived from file 1 after the Frescalo algorithm. It corresponds to a time series of the "frequency" changes for each species.
Columns:
Species: Corresponds to the cd_ref from the file1.
Time: Time period. Correspond to the time period column of the file1 (here time are numerical).
TFactor: TFactor estimation from the Frescalo algorithm.
StDev: Standart deviation associated to each time factor (estimated from Frescalo).
File3:
status_sp.csv
Description: This file is derived from file 2. After applying bayesian multilevel models, we get the species status (e.g., winner, loser or stable).
Columns:
species: Corresponds to the cd_ref from the file1.
slope: Estimate of the slope value from the bayesian model.
error: Error associated to the slope value.
status group: Final group (i.e., winner, loser, stable, data deficient, non signif-change).