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Samuel A. Cushman
Researcher at United States Forest Service
Publications - 106
Citations - 9624
Samuel A. Cushman is an academic researcher from United States Forest Service. The author has contributed to research in topics: Population & Biology. The author has an hindex of 27, co-authored 66 publications receiving 8286 citations. Previous affiliations of Samuel A. Cushman include United States Department of Agriculture & University of Oxford.
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Multivariate statistics for wildlife and ecology research
TL;DR: In this paper, the authors presented an approach for the detection of anomalous clusters based on principal components analysis (PCA) and cluster clustering, and the results showed that PCA is more accurate than other clustering techniques.
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Effects of habitat loss and fragmentation on amphibians: A review and prospectus
TL;DR: Rigorous understanding of the effects of habitat loss and fragmentation on amphibians will require species-specific, multi-scale, mechanistic investigations, and will be benefit from integrating large empirical field studies with molecular genetics and simulation modeling.
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Comparative evaluation of experimental approaches to the study of habitat fragmentation effects
TL;DR: It is evident that most manipulative and mensurative fragmentation experiments have not provided clear insights into the ecological mechanisms and effects of habitat fragmentation, and recommendations for improving the design and implementation of fragmentation experiments are concluded.
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Gene Flow in Complex Landscapes: Testing Multiple Hypotheses with Causal Modeling.
TL;DR: In this black bear population, gene flow is facilitated by contiguous forest cover at middle elevations, and patterns of genetic structure are primarily related to landscape gradients of land cover and elevation.
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Parsimony in landscape metrics: Strength, universality, and consistency
TL;DR: This study identified independent components of class- and landscape-level structure in multiple landscapes in each of three large and geographically disjunct study areas and calculated the universality, strength, and consistency of these components.