Environmental Data: Data on wild bee taxonomic and functional diversit...
Description
Raw data supporting the paper "Countrywide wild bee taxonomic and functional diversity reveal a spatial mismatch between alpha and beta-diversity facets ac...
Citation
Casanelles Abella, J., Fournier, B., Fontana, S., Moretti, M. (2022). Data on wild bee taxonomic and functional diversity in Switzerland. EnviDat. https://www.doi.org/10.16904/envidat.337.
Resources
Taxonomic and functional metrics in the community plots
Response data used for the modeling. Lat: latitude community plot Lon: longitude community plot Richness: species richness Shannon: Shannon diversity index FDis: functional dispersion TOP: Trait Onion Peeling (functional richness) TED: Trait Even Distribution (functional evenness) LCBD_taxo: local community contributions to taxonomic beta diversity LCBD_fun: local community contributions to functional beta diversity ITD: community weighted means inter-tegula distance feeding_specialization: community weighted means feeding specialization tong_length: community weighted means tongue length phenostart: community weighted means start of the phenology phenoduration: community weighted means duration of the phenoloy cleptoparasite: community weighted means cleptoparasites belowgound: community weighted means proportion belowground solitary: community weighted means proportion solitary
Taxonomic and functional metrics in the community plotsProtected areas
Protected areas considered, divided in three groups and rasters: protected areas sensu stricto, protected areas sensu lato and all protected areas
Protected areasVariable importance, model evaluation, partial dependence plots
The compress file containes a set of txt files with the variable importance, the model evaluation metrics and the partial dependence plots of each of the responses used (alpha and beta taxonomic and functional diversity metrics; community weighted means of 8 functional traits)
Variable importance, model evaluation, partial dependence plotsSpatial environmental predictors and responses
The .zip file contains the rasters of the environmental predictors and the predicted responses: - **Environmental predictors.**: - The raster on the climate contains the PCA axes on the CHELSA variables. - The raster on resource availability contains the PCA axes on plant communities - The raster on land-use contains the land-use composition at 2500 m. - The raster on beekeeping intensity contains thedensity of hives within 2500 m - **Responses**: - The predicted responses (alpha and beta taxonomic and functional metrics and the traits) without masking the waterbodies, used in the analyses (Diversity_stack_revised_Selected_descriptors.tif). It contains a stack of 20 responses in this order: "belowgound", "cleptoparasite","FDis", "feeding_specialization", "FEve", "FRic", "InvSimpson", "ITD","LCBD_fun" ,"LCBD_taxo","phenoduration", "phenostart", "Rao", "Richness", "Shannon", "Simpson","solitary", "TED", "tong_length", "TOP". "FEve", "FRic", "InvSimpson","Rao", "Simpson" were not included in the linked paper. - The predicted responses (alpha and beta taxonomic and functional metrics and the traits) masking the waterbodies (masked.stack.all.diversity.tiff). It includes a stack of 15 responses (excludes "FEve", "FRic", "InvSimpson","Rao", "Simpson").
Spatial environmental predictors and responsesElevation and waterbodies
Zip file containing two rasters: the digital elevation model of Switzerland and the waterbodies of Switzerland.
Elevation and waterbodiesWild bee trait data
Text file containing the scores of the 8 used traits. The data originates from the European trait database (compiler: Stuart Roberts; pollinator loss module of the EU- FP6 ALARM project).
Wild bee trait data