The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence

Ecological Modelling

Volumn 191, Issue 2, 2006, Pages 197-224

  Betts, Matthew G ^a,b   Diamond, A W ^a   Forbes, G J ^a   Villard, M A ^c   Gunn, J S ^d  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b Greater Fundy Ecosystem Research Group   (Canada)

^c UNIVERSITÉ DE MONCTON   (Canada)

^d Round River Ecology   (Canada)

Author keywords

Autologistic regression; Bird habitat relationships; Geographic Information Systems; Model performance; Spatial autocorrelation; Spatial resolution and extent

Indexed keywords

MAPPING; REGRESSION ANALYSIS; VEGETATION;

BIRD-HABIBAT RELATIONSHIPS; MODEL PERFORMANCE; SPATIAL AUTOCORRELATION;

FORESTRY;

AUTOCORRELATION; AVIFAUNA; ECOLOGICAL MODELING; FOREST; HABITAT USE; PREDICTION; SPECIES OCCURRENCE;

FORESTS; PLANTS; REGRESSION ANALYSIS;

AVES;

EID: 28444435800     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.04.027     Document Type: Article

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