Remotely sensed temperature and precipitation data improve species distribution modelling in the tropics

Global Ecology and Biogeography

Volumn 25, Issue 4, 2016, Pages 443-454

  Deblauwe, V ^a,b,c   Droissart, V ^a,b,c,d   Bose, R ^a,e   Sonke B ^c   Blach Overgaard, A ^f   Svenning, J C ^f   Wieringa, J J ^g   Ramesh, B R ^e   Stevart T ^b,d   Couvreur, T L P ^a,c,g  

^a INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (France)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c UNIVERSITY OF YAOUNDÉ I   (Cameroon)

^d MISSOURI BOTANICAL GARDEN   (United States)

^e FRENCH INSTITUTE OF PONDICHERRY   (India)

^f AARHUS UNIVERSITY   (Denmark)

^g NATURALIS BIODIVERSITY CENTER   (Netherlands)

Author keywords

Association test; CHIRPS; Ecological niche model; GLM; Habitat suitability; MaxEnt; MODIS; Null model; TRMM; WorldClim

Indexed keywords

AIR TEMPERATURE; ECOLOGICAL MODELING; HABITAT SELECTION; MODIS; NICHE; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SPATIAL DISTRIBUTION; TRMM; TROPICAL ENVIRONMENT;

CENTRAL AFRICA; INDIA; SOUTH AMERICA; WESTERN GHATS;

EID: 84959010417     PISSN: 1466822X     EISSN: 14668238     Source Type: Journal    
DOI: 10.1111/geb.12426     Document Type: Article

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