Exploring the spatially explicit predictions of the Maximum Entropy Theory of Ecology-Reference-Cited by-同舟云学术

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Exploring the spatially explicit predictions of the Maximum Entropy Theory of Ecology

Published:2015-03-31 Issue:6 Volume:24 Page:675-684
ISSN:1466-822X
Container-title:Global Ecology and Biogeography
language:en
Short-container-title:Global Ecology and Biogeography

Author:

McGlinn D. J.¹²³,Xiao X.²³⁴,Kitzes J.⁵,White E. P.²³

Affiliation:

1. Biology Department College of Charleston Charleston SC 29401 USA

2. Biology Department Utah State University Logan UT 84341 USA

3. Ecology Center Utah State University Logan UT 84341 USA

4. Mitchell Center for Sustainability Solutions University of Maine Orono ME 04469

5. Energy and Resources Group University of California Berkeley CA 94720 USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/geb.12295

Reference59 articles.

1. A niche for neutrality

2. Spatial analysis and structure of a cross-timber stand in the TallGrass Prairie Preserve (Pawhuska, Oklahoma)

3. Drought mediates the importance of stochastic community assembly

4. A Spatially Explicit Neutral Model of β-Diversity in Tropical Forests

5. On random placement and species-area relations

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1. Stochastic and Deterministic Processes in the Establishment of Taxonomic, Functional and Phylogenetic Diversity of Ecological Communities: A Review of Modern Concepts;Russian Journal of Ecology;2023-08

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3. Earthquake disturbance shifts metabolic energy use and partitioning in a monodominant forest;Global Ecology and Biogeography;2023-05-31

4. A unified framework for species spatial patterns: Linking the occupancy area curve, Taylor's Law, the neighborhood density function and two‐plot species turnover;Ecology Letters;2021-08-04

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