Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds

Biological Conservation

Volumn 156, Issue , 2012, Pages 94-104

  Oppel, Steffen ^a   Meirinho, Ana ^b   Ramírez, Iván ^b   Gardner, Beth ^c   O'Connell, Allan F ^d   Miller, Peter I ^e   Louzao, Maite ^f,g  

^a RSPB CENTRE FOR CONSERVATION SCIENCE   (United Kingdom)

^b Sociedade Portuguesa para o Estudo das Aves   (Portugal)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

^d PATUXENT WILDLIFE RESEARCH CENTER   (United States)

^e PLYMOUTH MARINE LABORATORY   (United Kingdom)

^f HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^g CNRS   (France)

Author keywords

Important bird area (IBA); Machine learning; Marine protected area; Portugal; Shearwater; Species distribution model

Indexed keywords

ABUNDANCE; ABUNDANCE ESTIMATION; COMPARATIVE STUDY; ENVIRONMENTAL IMPACT; NUMERICAL MODEL; SEABIRD; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION; STATISTICAL ANALYSIS;

AVES; PROCELLARIIDAE; PUFFINUS MAURETANICUS;

EID: 84867684103     PISSN: 00063207     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biocon.2011.11.013     Document Type: Article

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