Robert J. Wilson

TL;DR: In this paper, the authors describe six different statistical approaches to infer correlates of species distributions, for both presence/absence (binary response) and species abundance data (poisson or normally distributed response), while accounting for spatial autocorrelation in model residuals: autocovariate regression; spatial eigenvector mapping; generalised least squares; (conditional and simultaneous) autoregressive models and generalised estimating equations.

TL;DR: It is reported that two butterfly species have increased the variety of habitat types that they can colonize, and that two bush cricket species show increased fractions of longer-winged (dispersive) individuals in recently founded populations.

TL;DR: It is shown that lower elevational limits for 16 butterfly species in central Spain have risen on average by 212‚m in 30 years, accompanying a 1.3‚°C rise in mean annual temperature, which represents an average reduction in habitable area by one-third.

TL;DR: The results suggest that climate warming, combined with habitat loss and other drivers of biological change, could lead to significant losses in ecological diversity in mountains and other regions where species encounter their lower latitudinal-range margins.

TL;DR: A global and multitaxon metaanalysis is performed to show that empirical evidence for the realized effects of climate change supports predictions of future extinction risk, and suggests that anthropogenic climate change is now a major threat to global biodiversity.