Spatial Gaussian processes improve multi‐species occupancy models when range boundaries are uncertain and nonoverlapping-Reference-Cited by-同舟云学术

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Spatial Gaussian processes improve multi‐species occupancy models when range boundaries are uncertain and nonoverlapping

Published:2021-06-14 Issue:13 Volume:11 Page:8516-8527
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

Wright Wilson J.¹^ORCID,Irvine Kathryn M.²^ORCID,Rodhouse Thomas J.³^ORCID,Litt Andrea R.¹^ORCID

Affiliation:

1. Department of Ecology Montana State University Bozeman MT USA

2. U.S. Geological Survey Northern Rocky Mountain Science Center Bozeman MT USA

3. National Park Service and Human and Ecosystem Resilience and Sustainability Lab Oregon State University‐Cascades Bend OR USA

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.7629

Reference65 articles.

1. Trends in Amphibian Occupancy in the United States

2. Gaussian predictive process models for large spatial data sets

3. Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification

4. Year-to-year Reuse of Tree-roosts by California Bats (Myotis californicus) in Southern British Columbia

5. Fast and Elegant Numerical Linear Algebra Using theRcppEigenPackage

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