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A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD
Author(s):
Tianxiao Hao
1
,
Jane Elith
1
,
Gurutzeta Guillera‐Arroita
1
,
José J. Lahoz‐Monfort
1
Editor(s):
Josep Serra‐Diaz
Publication date
Created:
April 23 2019
Publication date
(Electronic):
January 22 2019
Journal:
Diversity and Distributions
Publisher:
Wiley
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Renewable Energy – Distribution Grid
Most cited references
32
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Ensemble Methods in Machine Learning
Thomas G Dietterich
(2000)
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The ability of climate envelope models to predict the effect of climate change on species distributions
Robert J. Hijmans
,
Catherine Graham
(2006)
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BIOMOD - optimizing predictions of species distributions and projecting potential future shifts under global change
Wilfried Thuiller
(2003)
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Author and article information
Journal
Title:
Diversity and Distributions
Abbreviated Title:
Divers Distrib
Publisher:
Wiley
ISSN (Print):
1366-9516
ISSN (Electronic):
1472-4642
Publication date Created:
April 23 2019
Publication date Created:
May 2019
Publication date (Electronic):
January 22 2019
Publication date (Print):
May 2019
Volume
: 25
Issue
: 5
Pages
: 839-852
Affiliations
[
1
]
School of BioSciences The University of Melbourne Parkville Victoria Australia
Article
DOI:
10.1111/ddi.12892
SO-VID:
ed0ee3ed-4c20-4dcc-877e-8f3aa8bbae46
Copyright statement:
© 2019
License:
http://creativecommons.org/licenses/by/4.0/
http://creativecommons.org/licenses/by/4.0/
http://doi.wiley.com/10.1002/tdm_license_1.1
Product
Self URI (article page):
https://onlinelibrary.wiley.com/doi/abs/10.1111/ddi.12892
Self URI (pdf):
https://onlinelibrary.wiley.com/doi/am-pdf/10.1111%2Fddi.12892
Self URI (pdf):
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.12892
Self URI (pdf):
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fddi.12892
Self URI (pdf):
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.12892
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