Climate overrides the effects of land use on the functional composition and diversity of mediterranean reptile assemblages.
Cite this dataset
Barnagaud, Jean-Yves; Géniez, Philippe; Cheylan, Marc; Crochet, Pierre-André (2021). Climate overrides the effects of land use on the functional composition and diversity of mediterranean reptile assemblages. [Dataset]. Dryad. https://doi.org/10.5061/dryad.pc866t1mg
Aim: To test the hypothesis that spatial variations in climate and land use explain the distribution and diversity of reptiles’ ecological traits in a biodiversity hotspot of the Mediterranean basin.
Location: French Mediterranean region
Taxon: Reptiles (25 species)
Methods: We defined 288 species assemblages from 27858 opportunistic occurrence records within 10 x 10 km square grid cells. Using a RLQ analysis, we investigated the distribution of nine ecological traits describing reptiles’ reproductive, dietary and behavioural strategies along environmental gradients formed by 10 climatic, topographic and land-use descriptors. After homogenizing survey effort through rarefaction, we used generalized additive models to assess variations in species richness and several measures of functional diversity and composition along these gradients.
Results: Although ecological traits were not structured by environmental gradients at a species level, species richness and all measures of functional diversity varied non-linearly with climate, elevation and secondarily land use. Species richness and body size peaked at intermediate altitudes, indicating a climatic transition zone between Mediterranean and medio-european herpetofaunas. Conversely, functional diversity increased from Mediterranean plains, dominated by urbanization and agriculture, to higher elevations. These changes were associated with shifts towards less productive, more diurnal and more forest-related species.
Main conclusions: Species-scale patterns are insufficient to assess regional variations in ecological traits in space. Our results support the hypothesis that climatic limitations in species’ distributions, rather than environmental filtering, explain the taxonomic and ecological diversity of reptiles at a regional scale. Although secondary to climate, land abandonment has a strong structuring effect which may contribute to homogenize the composition of reptile assemblages.
Readme file : data for Barnagaud et al, Diversity & Distributions, 2020.
These datafiles and R scripts relate to : Barnagaud, JY, Geniez, P, Chelyan, M & Crochet, PA. 2020. Climate overrides the effects of land use on the functional composition and diversity of mediterranean reptile assemblages. Diversity & Distributions.
All the necessary information with respect to the data is provided in the article. It is unwise to use these data without reading the article before, and we strongly encourage any user to get in touch with us ahead.
List of files
Folder “data” contains all the necessary data to run the analyses.
Barnagaud_et_al_DivDib_2020_ecological_traits.txt : ecological trait matrix. See Appendix S2 of the article for the description of traits and acronyms.
Francewgs84.shp : a ESRI shapefile with the contours of France for mapping purpose (not used in the analyses). Downloaded freely from https://www.data.gouv.fr/fr/datasets/contours-des-regions-francaises-sur-openstreetmap/
grid10x10_337cells.shp : a ESRI shapefile with the grid used to define reptile assemblages.
grid_centroids.txt : the centroids of the grid cells used to define reptile assemblages (also present in other datafiles)
occurrence_matrices_observed_rarefied.RData : this datafile is generated by the script “rarefaction.R”
rarefied_observed_diversity_indices.RData : this datafile is generated by the script “rarefaction.R”
reptile_data.RData : tables of the RLQ analysis used in the script “RLQ_analysis.R”. table.L corresponds to the sites*species matrix created by the script “rarefaction.R”. table.Q is the trait matrix reformatted for use with the ade4 library. table.R is the environmental trait matrix.
species_index.txt: index of species’ names and acronyms
Folder “scripts” contains all the necessary R codes to run the analyses.
rarefaction.R : all the necessary computations to create the rarefied species assemblages and compute diversity indices and community-averaged traits.
RLQ_analysis.R performs the coinertia analysis and RLQ analysis, and generates Figures 1 and 2 of the article. Note that these figures have been reworked in Powerpoint for readability (compilation of the multiple panels and addition of variables acronyms.
statistical_analysis.R : performs the generalized additive models to analyse the correlations of diversity indices with environmental gradients and generates figures 3,4 and 5.
Species, variables and traits acronyms are defined in the article.