Dynamic response of East Asian Greater White-fronted Geese to changes of environment during migration: Use of multi-temporal species distribution model

Dynamic response of East Asian Greater White-fronted Geese to changes of environment during... •A novel methodology for multi-temporal SDMs using dynamic environment variables is proposed.•The methodology is based on satellite tracking data and remote sensing data with high spatial-temporal resolution.•Incorporating dynamic environmental variables that precisely correspond to migration time could help better understand the dynamics of species-environment relationships. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Modelling Elsevier

Dynamic response of East Asian Greater White-fronted Geese to changes of environment during migration: Use of multi-temporal species distribution model

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0304-3800
eISSN
1872-7026
D.O.I.
10.1016/j.ecolmodel.2017.06.004
Publisher site
See Article on Publisher Site

Abstract

•A novel methodology for multi-temporal SDMs using dynamic environment variables is proposed.•The methodology is based on satellite tracking data and remote sensing data with high spatial-temporal resolution.•Incorporating dynamic environmental variables that precisely correspond to migration time could help better understand the dynamics of species-environment relationships.

Journal

Ecological ModellingElsevier

Published: Sep 24, 2017

References

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