Carsten F. Dormann

TL;DR: It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.

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: This review uses knowledge gained from human‐modified landscapes to suggest eight hypotheses, which it hopes will encourage more systematic research on the role of landscape composition and configuration in determining the structure of ecological communities, ecosystem functioning and services.

TL;DR: It is shown that biotic interactions have clearly left their mark on species distributions and realised assemblages of species across all spatial extents, and is called for for accelerated collection of spatially and temporally explicit species data.

TL;DR: A new, free software is introduced calculating a large spectrum of network indices, visualizing bipartite networks and generating null models, and enables ecologists to readily contrast their findings with null model expectations for many different questions, thus separating statistical inevitability from ecological process.