Richard G. Davies

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 demonstrated that hotspots of species richness, threat and endemism do not show the same geographical distribution and this suggests that, even within a single taxonomic class, different mechanisms are responsible for the origin and maintenance of different aspects of diversity.

TL;DR: It is shown that low-velocity areas are essential refuges for Earth’s many small-ranged species and the association between endemism and velocity was weakest in the highly vagile birds and strongest in the weakly dispersing amphibians, linking dispersal ability to extinction risk due to climate change.

TL;DR: In this article, the authors studied the relationship between urban form and the following measures of ecosystem performance: availability and patch characteristics of tree cover, gardens and green space; storm-water run-off; maximum temperature; carbon sequestration.

TL;DR: In this article, the authors measured distance along the transport network to public green space available to households in Sheffield, and compared this with the distribution of private garden space, and used a geodemographic database, Mosaic UK, to examine how access to green space varies across different sectors of society.