Using remotely sensed and climate data to predict the current and potential future geographic distribution of a bird at multiple scales: the case of Agelastes meleagrides, a western African forest endemic-Reference-Cited by-同舟云学术

Using remotely sensed and climate data to predict the current and potential future geographic distribution of a bird at multiple scales: the case of Agelastes meleagrides, a western African forest endemic

Published:2019-06-10 Issue:1 Volume:10 Page:
ISSN:2053-7166
Container-title:Avian Research
language:en
Short-container-title:Avian Res

Author:

Freeman Benedictus^ORCID,Jiménez-García Daniel,Barca Benjamin,Grainger Matthew

Funder

Conservation International-Global Environment Facility

Publisher

Elsevier BV

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Link

http://link.springer.com/content/pdf/10.1186/s40657-019-0160-y.pdf

Reference50 articles.

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3. Barve N, Barve V, Jiménez-Valverde A, Lira-Noriega A, Maher SP, Peterson AT, Soberón J, Villalobos F. The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecol Model. 2011;222:1810–9.

4. Brown JL. SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. Methods Ecol Evol. 2014;5:694–700.

5. Campbell LP, Luther C, Moo-Llanes D, Ramsey JM, Danis-Lozano R, Peterson AT. Climate change influences on global distributions of dengue and chikungunya virus vectors. Philos Trans R Soc B. 2015;370:20140135.

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