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Dive into the research topics where Thorsten Wiegand is active.

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Featured researches published by Thorsten Wiegand.


Journal of Ecology | 2013

Identification of 100 fundamental ecological questions

William J. Sutherland; Robert P. Freckleton; H. Charles J. Godfray; Steven R. Beissinger; Tim G. Benton; Duncan D. Cameron; Yohay Carmel; David A. Coomes; Tim Coulson; Mark Emmerson; Rosemary S. Hails; Graeme C. Hays; Dave J. Hodgson; Michael J. Hutchings; David Johnson; Julia P. G. Jones; Matthew James Keeling; Hanna Kokko; William E. Kunin; Xavier Lambin; Owen T. Lewis; Yadvinder Malhi; E. J. Milner-Gulland; Ken Norris; Albert B. Phillimore; Drew W. Purves; Jane M. Reid; Daniel C. Reuman; Ken Thompson; Justin M. J. Travis

Summary 1. Fundamental ecological research is both intrinsically interesting and provides the basic knowledge required to answer applied questions of importance to the management of the natural world. The 100th anniversary of the British Ecological Society in 2013 is an opportune moment to reflect on the current status of ecology as a science and look forward to high-light priorities for future work.


The American Naturalist | 1999

Finding the Missing Link between Landscape Structure and Population Dynamics: A Spatially Explicit Perspective

Thorsten Wiegand; Kirk A. Moloney; Javier Naves; Felix Knauer

We construct and explore a general modeling framework that allows for a systematic investigation of the impact of changes in landscape structure on population dynamics. The essential parts of the framework are a landscape generator with independent control over landscape composition and physiognomy, an individual‐based spatially explicit population model that simulates population dynamics within heterogeneous landscapes, and scale‐dependent landscape indices that depict the essential aspects of landscape that interact with dispersal and demographic processes. Landscape maps are represented by a grid of \documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \usepackage[OT2,OT1]{fontenc} \newcommand\cyr{ \renewcommand\rmdefault{wncyr} \renewcommand\sfdefault{wncyss} \renewcommand\encodingdefault{OT2} \normalfont \selectfont} \DeclareTextFontCommand{\textcyr}{\cyr} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} \landscape


The American Naturalist | 2007

Species Associations in a Heterogeneous Sri Lankan Dipterocarp Forest

Thorsten Wiegand; Savithri Gunatilleke; Nimal Gunatilleke


Ecology Letters | 2011

Statistical inference for stochastic simulation models – theory and application

Florian Hartig; Justin M. Calabrese; Björn Reineking; Thorsten Wiegand; Andreas Huth

50\times 50


The American Naturalist | 2004

Effects of Matrix Heterogeneity on Animal Dispersal: From Individual Behavior to Metapopulation‐Level Parameters

Eloy Revilla; Thorsten Wiegand; Francisco Palomares; Pablo Ferreras; Miguel Delibes


Archive | 2011

Statistical inference for stochastic simulations models : theory and application

Florian Hartig; Justin M. Calabrese; Björn Reineking; Thorsten Wiegand; Andreas Huth

\end{document} cells and consist of good‐quality, poor‐quality, or uninhabitable matrix habitat cells. The population model was shaped in accordance to the biology of European brown bears (Ursus arctos), and demographic parameters were adjusted to yield a source‐sink configuration. Results obtained with the spatially explicit model do not confirm results of earlier nonspatial source‐sink models where addition of sink habitat resulted in a decrease of total population size because of dilution of high‐quality habitat. Our landscape indices, which describe scale‐dependent correlation between and within habitat types, were able to explain variations in variables of population dynamics (mean number of females with sink home ranges, mean number of females with source home ranges, and mean dispersal distance) caused by different landscape structure. When landscape structure changed, changes in these variables generally followed the corresponding change of an appropriate landscape index in a linear way. Our general approach incorporates source‐sink dynamics as well as metapopulation dynamics, and the population model can easily be modified for other species groups.


Ecological Applications | 2002

RULE-BASED ASSESSMENT OF SUITABLE HABITAT AND PATCH CONNECTIVITY FOR THE EURASIAN LYNX

Stephanie Schadt; Felix Knauer; Petra Kaczensky; Eloy Revilla; Thorsten Wiegand; Ludwig Trepl

We used point pattern analysis to examine the spatial distribution of 46 common tree species (diameter at breast height >10 cm) in a fully mapped \documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \usepackage[OT2,OT1]{fontenc} \newcommand\cyr{ \renewcommand\rmdefault{wncyr} \renewcommand\sfdefault{wncyss} \renewcommand\encodingdefault{OT2} \normalfont \selectfont} \DeclareTextFontCommand{\textcyr}{\cyr} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} \landscape


Ecology | 2007

Analyzing the spatial structure of a Sri Lankan tree species with multiple scales of clustering.

Thorsten Wiegand; Savitri Gunatilleke; Nimal Gunatilleke; Toshinori Okuda


Proceedings of the National Academy of Sciences of the United States of America | 2008

Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations

Eloy Revilla; Thorsten Wiegand

500\times 500


Ecosystems | 2004

Do Grasslands Have a Memory: Modeling Phytomass Production of a Semiarid South African Grassland

Thorsten Wiegand; H.A. Snyman; Klaus Kellner; José M. Paruelo

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Andreas Huth

Helmholtz Centre for Environmental Research - UFZ

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Stephan Getzin

Helmholtz Centre for Environmental Research - UFZ

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Eloy Revilla

Spanish National Research Council

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Xugao Wang

Chinese Academy of Sciences

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Zhanqing Hao

Chinese Academy of Sciences

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