Janine Bolliger

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: The sensitivity of the nine landscape functions to changes in land use was assessed and it was found that most European regions maintain their capacity to provide the selected services under any of the four scenarios, although in some cases at other locations within the region.

TL;DR: In this article, the authors present the dynamic, spatially explicit, grid-based and spatially linked forest-landscape model TreeMig, which is able to produce landscape patterns resulting from both, endogenous dynamics and exogenous drivers and is suitable for a range of different applications.

TL;DR: In this paper, the authors focus on the role of spatial planning in urban land change and propose a research agenda to further develop the understanding of these three components and their interconnections as well as their application in quantitative land-change modelling approaches for urban regions.

TL;DR: In this paper, a survey of the literature on remote sensing data products available to ecological modelers interested in improving predictions of species range dynamics under global change is presented, focusing on the key biophysical processes underlying the distribution of species in the Anthropocene including climate variability, changes in land cover, and disturbances.