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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.

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Endangered Species Constrained by Natural and Human Factors: the Case of Brown Bears in Northern Spain

TL;DR: In this paper, the authors developed a conceptual framework for classifying habitat quality that requires the construc- tion of separate habitat models for each key demographic feature; the framework can be applied when the factors that determine different demographic processes differ substantially.
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Rule-based assessment of suitable habitat and patch connectivity for the eurasian lynx

TL;DR: In this article, the authors quantify the amount and location of potentially suitable lynx habitat in Germany, estimate the connectivity between patches of suitable habitat, and evaluate lynx conservation programs.
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Analyzing the spatial structure of a Sri Lankan tree species with multiple scales of clustering.

TL;DR: Clustering at multiple critical scales may be common for plants since many different factors and processes may cause clustering, but this example illustrates the manner in which the use of a specific and complex null hypothesis of spatial structure in point pattern analysis can help to understand the biology of a species and generate specific hypotheses to be further investigated in the field.
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Effects of Matrix Heterogeneity on Animal Dispersal: From Individual Behavior to Metapopulation-Level Parameters

TL;DR: The movement properties during interpatch dispersal in a metapopulation of Iberian lynx is analyzed to build a simulation model to reconstruct individual dispersal events and shows how important it is to consider matrix heterogeneity when it is present.