Optimizing ensembles of small models for predicting the distribution of species with few occurrences-Reference-Cited by-同舟云学术

Optimizing ensembles of small models for predicting the distribution of species with few occurrences

Published:2018-01-23 Issue:4 Volume:9 Page:802-808
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Breiner Frank T.¹²^ORCID,Nobis Michael P.³,Bergamini Ariel²,Guisan Antoine¹⁴

Affiliation:

1. Department of Ecology and EvolutionUniversity of Lausanne Lausanne Switzerland

2. Biodiversity and Conservation BiologySwiss Federal Research Institute WSL Birmensdorf Switzerland

3. Landscape DynamicsSwiss Federal Research Institute WSL Birmensdorf Switzerland

4. Institute of Earth Surface DynamicsUniversity of Lausanne Lausanne Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12957

Reference37 articles.

1. bioclim: the first species distribution modelling package, its early applications and relevance to most currentMaxEntstudies

2. Overcoming limitations of modelling rare species by using ensembles of small models

3. Broennimann O. Petitpierre B. Randin C.F. Engler R. Breiner F.T. D'Amen M. …Guisan A. (2015).Ecospat: Spatial ecology miscellaneous methods.rpackage version 1.0.http://CRAN.R-project.org/package=ecospat.

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