Stacking species distribution models and adjusting bias by linking them to macroecological models

Global Ecology and Biogeography

Volumn 23, Issue 1, 2014, Pages 99-112

  Calabrese, Justin M ^a   Certain, Grégoire ^b   Kraan, Casper ^c   Dormann, Carsten F ^d  

^a SMITHSONIAN CONSERVATION BIOLOGY INSTITUTE   (United States)

^b INSTITUTE OF MARINE RESEARCH   (Norway)

^c NATIONAL INSTITUTE OF WATER AND ATMOSPHERIC RESEARCH   (New Zealand)

^d UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Boosted regression trees; Kumaraswamy distribution; Macroecological models; Maximum likelihood; Poisson binomial distribution; Richness regression models; Species richness; Stacked species distribution models

Indexed keywords

MACROECOLOGY; MAXIMUM LIKELIHOOD ANALYSIS; NUMERICAL MODEL; POISSON RATIO; REGRESSION ANALYSIS; SPECIES RICHNESS;

ARCTIC OCEAN; ATLANTIC OCEAN; BARENTS SEA; EUROPE; NORTH SEA; WADDEN SEA;

EID: 84896124501     PISSN: 1466822X     EISSN: 14668238     Source Type: Journal    
DOI: 10.1111/geb.12102     Document Type: Article

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