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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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Pattern-oriented modeling of agent-based complex systems: lessons from ecology

TL;DR: This paper argues that recent advances in ecological modeling have come together in a general strategy that provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity.
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Rings, circles, and null-models for point pattern analysis in ecology

TL;DR: It is demonstrated that large-scale heterogeneity of a point-pattern biases Ripley's K-function at smaller scales, and it is shown that it can be removed when applying methods that account for first-order effects.
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Identification of 100 fundamental ecological questions

TL;DR: 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.
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Global patterns of tropical forest fragmentation

TL;DR: Almost 130 million forest fragments in three continents are identified that show surprisingly similar power-law size and perimeter distributions as well as fractal dimensions, suggesting that forest fragmentation is close to the critical point of percolation.
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Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and application

TL;DR: Using the pattern-oriented approach to its full potential will require a major paradigm shift in the strategies of modeling and data collection, and it is argued that more emphasis must be placed on observing and documenting relevant patterns in addition to attempts to obtain direct estimates of model parameters.