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Multiscale Analyses of Mammal Species Composition – Environment Relationship in the Contiguous USA

Overview of attention for article published in PLOS ONE, September 2011
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Title
Multiscale Analyses of Mammal Species Composition – Environment Relationship in the Contiguous USA
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025440
Pubmed ID
Authors

Rafi Kent, Avi Bar-Massada, Yohay Carmel

Abstract

Relationships between species composition and its environmental determinants are a basic objective of ecology. Such relationships are scale dependent, and predictors of species composition typically include variables such as climate, topographic, historical legacies, land uses, human population levels, and random processes. Our objective was to quantify the effect of environmental determinants on U.S. mammal composition at various spatial scales. We found that climate was the predominant factor affecting species composition, and its relative impact increased in correlation with the increase of the spatial scale. Another factor affecting species composition is land-use-land-cover. Our findings showed that its impact decreased as the spatial scale increased. We provide quantitative indication of highly significant effect of climate and land-use-land-cover variables on mammal composition at multiple scales.

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Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Australia 2 3%
Israel 2 3%
Brazil 1 1%
Mexico 1 1%
Colombia 1 1%
Spain 1 1%
Denmark 1 1%
Unknown 68 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 31%
Student > Ph. D. Student 20 25%
Student > Master 11 14%
Professor > Associate Professor 5 6%
Student > Bachelor 3 4%
Other 9 11%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 55%
Environmental Science 23 29%
Earth and Planetary Sciences 2 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Neuroscience 1 1%
Other 0 0%
Unknown 9 11%