Thorsten Wiegand

TL;DR: In this article, a spatially explicit and individual-based population model for the dynamics of brown bears (Ursus arctos) after a reintroduction program in Austria is presented.

TL;DR: This work synthesizes current LDG hypotheses, uncovering their eco-evolutionary mechanisms, hidden assumptions, and commonalities, and proposes mechanistic eco-Evolutionary modeling and an inferential approach that makes use of geographic, phylogenetic, and trait-based patterns to assess the relative importance of different processes for generating the LDG.

TL;DR: In this paper, a grid-and simulation-based approach was used to extend point pattern analysis to deal with plants of finite size and irregular shape, and compared the results of their approach with that of the conventional point approximation.

TL;DR: It is shown that the Australian gap patterns share with their Namibian counterparts the same characteristics but are driven by a different biomass–water feedback, support the applicability of this theory to wider contexts of spatial self-organization in ecology.

TL;DR: The authors' spatial point pattern analyses detected the existence of surprising spatial structures, such as double‐cluster and superposition patterns, and they allowed for a detailed quantification of their properties, and are confident that a combination of advanced point pattern analysis with field data will allow for significant advances in establishing the link between spatial patterns and processes.