Perspectives in Ecology and Conservation Perspectives in Ecology and Conservation
Nat Con 2016;14:99-105 DOI: 10.1016/j.ncon.2016.07.001
Research Letters
Range maps and checklists provide similar estimates of taxonomic and phylogenetic alpha diversity, but less so for beta diversity, of Brazilian Atlantic Forest anurans
Fernando R. da Silvaa,, , Diogo B. Proveteb, Bradford A. Hawkinsc
a Department of Environmental Sciences, Universidade Federal de São Carlos (UFSCar), Sorocaba, SP, Brazil
b CNPq Post-doctoral Fellow, Department of Biological and Environmental Sciences, University of Gothenburg, Göteborg, Sweden
c Department of Ecology & Evolutionary Biology, University of California, Irvine, United States
Received 14 September 2015, Accepted 18 July 2016

Macroecological and biogeographical studies have assumed that range map data should be used only at coarser grains due to false presences (errors of commission) at small grains. This has been explored using mostly species richness, underrepresenting other potentially informative biodiversity metrics. Here, we evaluated these issues by quantifying the extent to which taxonomic and phylogenetic alpha and beta diversity patterns calculated using anuran range maps at three cell sizes (1×1km, 5×5km, and 10×10km) differ from the patterns calculated based on checklists in 14 protected areas along the southern range of the Brazilian Atlantic Forest. We found that range maps and checklists generated reasonably similar spatial richness patterns in all cell sizes (r0.80 in all cases) and slightly weaker, but still correlated alpha phylogenetic diversity patterns (0.78r0.81). We also found that taxonomic (r0.76) and phylogenetic (r0.68) beta diversities had lower correlations than alpha spatial patterns. Therefore, range maps have value in documenting alpha biodiversity patterns, as well as beta diversity at more marginal levels, for tropical species at scales relevant to local conservation efforts.

Amphibians, Distribution maps, Protected areas, Spatial autocorrelation, Survey data