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Exploring the spatially explicit predictions of the Maximum Entropy Theory of Ecology
View ORCID ProfileD.J. McGlinn, View ORCID ProfileX. Xiao, View ORCID ProfileJ. Kitzes, View ORCID ProfileE.P. White
doi: https://doi.org/10.1101/003657
D.J. McGlinn
1Biology Department, Utah State University, Logan, UT 84341 USA;
2Ecology Center, Utah State University, Logan, UT 84341 USA;
3Biology Department, College of Charleston, SC 29401;
X. Xiao
1Biology Department, Utah State University, Logan, UT 84341 USA;
2Ecology Center, Utah State University, Logan, UT 84341 USA;
J. Kitzes
4Energy and Resources Group, University of California, Berkeley, CA 94720 USA;
E.P. White
1Biology Department, Utah State University, Logan, UT 84341 USA;
2Ecology Center, Utah State University, Logan, UT 84341 USA;
Article usage
Posted September 02, 2014.
Exploring the spatially explicit predictions of the Maximum Entropy Theory of Ecology
D.J. McGlinn, X. Xiao, J. Kitzes, E.P. White
bioRxiv 003657; doi: https://doi.org/10.1101/003657
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