T
Thorsten Wiegand
Researcher at Helmholtz Centre for Environmental Research - UFZ
Publications - 184
Citations - 14938
Thorsten Wiegand is an academic researcher from Helmholtz Centre for Environmental Research - UFZ. The author has contributed to research in topics: Spatial ecology & Population. The author has an hindex of 58, co-authored 177 publications receiving 13151 citations. Previous affiliations of Thorsten Wiegand include University of California, Davis & Chinese Academy of Sciences.
Papers
More filters
Journal ArticleDOI
Spatial patterns of an endemic Mediterranean palm recolonizing old fields.
TL;DR: It seems that the spatial patterns and dispersal strategies of the dwarf palm make it a successful plant for new habitat colonization, and can help to develop management strategies to recover plant populations.
Journal ArticleDOI
Intertwined effects of defaunation, increased tree mortality and density compensation on seed dispersal
TL;DR: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Journal ArticleDOI
Spatial distribution of communal nests in a colonial breeding bird: benefits without costs?
TL;DR: It is suggested, that colonies of P. socius consist of several nests on adjacent trees forming a cluster of subcolonies, and a strategy to avoid costs due to increasing colony size is suggested.
Journal ArticleDOI
Network science applied to forest megaplots: tropical tree species coexist in small-world networks.
TL;DR: The application of network analysis to forest ecology provides a new approach in biodiversity research to quantify spatial neighborhood structures for better understanding interactions between tree species.
Journal ArticleDOI
An analysis of forest biomass sampling strategies across scales
TL;DR: In this paper, the authors investigated the conditions under which a limited number of sample plots conform to this assumption and showed that these nonrandom locations lead to a much higher sampling intensity being required.