From individual to joint species distribution models: A comparison of model complexity and predictive performance-Reference-Cited by-同舟云学术

From individual to joint species distribution models: A comparison of model complexity and predictive performance

Published:2019-08-08 Issue:10 Volume:46 Page:2260-2274
ISSN:0305-0270
Container-title:Journal of Biogeography
language:en
Short-container-title:J Biogeogr

Author:

Caradima Bogdan¹²^ORCID,Schuwirth Nele¹²^ORCID,Reichert Peter¹²^ORCID

Affiliation:

1. Eawag: Swiss Federal Institute of Aquatic Science and Technology Dübendorf Switzerland

2. ETH Zurich Institute of Biogeochemistry and Pollutant Dynamics Zürich Switzerland

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.13668

Reference48 articles.

1. MODELING DISTRIBUTIONS OF RARE PLANTS IN THE GREAT BASIN, WESTERN NORTH AMERICA

2. Species distribution models and ecological theory: A critical assessment and some possible new approaches

3. BDM Coordination Office(2009).Biodiversity Monitoring in Switzerland (BDM) Coordination Office 2009: The state of biodiversity in Switzerland. Overview of the findings of Biodiversity Monitoring Switzerland (BDM) as of May 2009. Technical Report 0911 Federal Office for the Environment (FOEN).

4. Generalized linear mixed models: a practical guide for ecology and evolution

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