Testing species assemblage predictions from stacked and joint species distribution models-Reference-Cited by-同舟云学术

Testing species assemblage predictions from stacked and joint species distribution models

Published:2019-06-05 Issue:1 Volume:47 Page:101-113
ISSN:0305-0270
Container-title:Journal of Biogeography
language:en
Short-container-title:J Biogeogr

Author:

Zurell Damaris¹²^ORCID,Zimmermann Niklaus E.²³^ORCID,Gross Helge²,Baltensweiler Andri²,Sattler Thomas⁴,Wüest Rafael O.²^ORCID

Affiliation:

1. Geography Department Humboldt‐Universität zu Berlin Berlin Germany

2. Swiss Federal Research Institute WSL Birmensdorf Switzerland

3. Department of Environmental Systems Science Swiss Federal Institute of Technology ETH Zürich Switzerland

4. Swiss Ornithological Institute Sempach Switzerland

Funder

Deutsche Forschungsgemeinschaft

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.13608

Reference67 articles.

1. Standards for distribution models in biodiversity assessments

2. The geographic scaling of biotic interactions

3. Artuso R. Bovet S. &Streilein A.(2003).Practical methods for the verification of countrywide terrain and surface models. International Archives of Photogrammetry and Remote Sensing XXXIV Part 3/W13.

4. Fitting Linear Mixed-Effects Models Usinglme4

5. Bjornstad O. N.(2016).ncf: Spatial nonparametric covariance functions. Retrieved fromhttps://CRAN.R-project.org/package=ncf

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