An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data

Journal of Applied Ecology

Volumn 41, Issue 2, 2004, Pages 263-274

  Engler, Robin ^a   Guisan, Antoine ^a   Rechsteiner, Luca ^a  

^a Laboratoire de Biologie de la Conservation   (Switzerland)

Author keywords

Ecological niche factor analysis (ENFA); Eryngium alpinum; Generalized linear model (GLM); Habitat suitability (HS) model; Minimal predicted area (MPA); Spatial resolution vs. data size

Indexed keywords

ENDANGERED SPECIES; HABITAT SELECTION; METHODOLOGY; MODELING; PREDICTION; SPECIES CONSERVATION;

ERYNGIUM; ERYNGIUM ALPINUM;

EID: 1942456846     PISSN: 00218901     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0021-8901.2004.00881.x     Document Type: Article

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