Parameter and uncertainty estimation for process-oriented population and distribution models: Data, statistics and the niche

Journal of Biogeography

Volumn 39, Issue 12, 2012, Pages 2225-2239

  Marion, Glenn ^a   Mcinerny, Greg J ^b   Pagel, Jörn ^c,d   Catterall, Stephen ^a   Cook, Alex R ^e   Hartig, Florian ^f   O'Hara, Robert B ^d  

^a BIOMATHEMATICS AND STATISTICS SCOTLAND   (United Kingdom)

^b MICROSOFT RESEARCH   (United Kingdom)

^c UNIVERSITY OF POTSDAM   (Germany)

^d BIODIVERSITY AND CLIMATE RESEARCH CENTRE BIK F   (Germany)

^e NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^f HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

Author keywords

Bayesian inference; Demography; Dispersal; Dynamic models; Dynamic range models; Establishment; Global change; Niche models; Species distribution models

Indexed keywords

ABUNDANCE; BAYESIAN ANALYSIS; CLIMATE CHANGE; DATA SET; DEMOGRAPHY; DISPERSAL; ECOLOGICAL MODELING; ECOLOGICAL THEORY; GLOBAL CHANGE; MARKOV CHAIN; NICHE; PARAMETERIZATION; POPULATION DISTRIBUTION; POPULATION MODELING; SPATIAL DISTRIBUTION; UNCERTAINTY ANALYSIS;

EID: 84869878631     PISSN: 03050270     EISSN: 13652699     Source Type: Journal    
DOI: 10.1111/j.1365-2699.2012.02772.x     Document Type: Article

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