Data from: Deciphering the drivers of negative species-genetic diversity correlation in Alpine amphibians
Marchesini, Alexis, University of Padua
Vernesi, Cristiano, University of Milan
Battisti, Andrea, University of Padua
Ficetola, Gentile Francesco, Grenoble Alpes University
Published Oct 02, 2018 on Dryad.
Cite this dataset
Marchesini, Alexis; Vernesi, Cristiano; Battisti, Andrea; Ficetola, Gentile Francesco (2018). Data from: Deciphering the drivers of negative species-genetic diversity correlation in Alpine amphibians [Dataset]. Dryad. https://doi.org/10.5061/dryad.689110r
The evolutionary and ecological importance of neutral and adaptive genetic diversity is widely recognized. Nevertheless, genetic diversity is rarely assessed for conservation planning, which often implicitly assumes a positive correlation between species and genetic diversity. Multiple drivers can cause the co-variation between the genetic diversity of one species and the richness of the whole communities, and explicit tests are needed to identify the processes that can determine species-genetic diversity correlations (SGDC). Here we tested whether intrapopulation genetic diversity (at neutral loci) and species richness co-vary in the amphibian communities of a southern Alpine region (Trentino, Italy), using the common frog (Rana temporaria) as focal species for the study of genetic diversity. We also analyzed ecological similarity, niche overlap and interspecific interactions between the species, to unravel the processes determining SGDC. The neutral genetic diversity of common frogs was negatively related to species richness. The negative SGDC was probably due to an opposite influence of environmental gradients on the two levels of biodiversity, since the focal species and the other amphibians differ in ecological preferences, particularly in terms of thermal optimum. Conversely, we did not find evidence for a role of interspecific interactions in the negative SGDC. Our findings stress that species richness cannot be used as a universal proxy for genetic diversity, and only combining SGDC with analyses on the determinants of biodiversity can allow to identify the processes determining the relationships between genetic and species diversity.
Microsatellite data for the common frog (Rana temporaria) in Genepop format
Amphibian distributional dataset used in MaxEnt modeling and niche overlap analyses (regional dataset: Trentino (Italy); coordinate system: lat/long WGS84).
Environmental variables used in SEM, MaxEnt modeling and niche overlap analyses (raster files: mean annual temperature, annual precipitation, anthropized areas, coniferous forests, broad-leaved forest, water areas, geological substrate, slope; shapefile: roads network; coordinate system: lat/long WGS84).