Predictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: A first digital IPY and GBIF open access synthesis platform

Marine Biodiversity

Volumn 41, Issue 1, 2011, Pages 141-179

  Huettmann, Falk ^a   Artukhin, Yuri ^b   Gilg, Olivier ^c,d   Humphries, Grant ^a  

^a UNIVERSITY OF ALASKA FAIRBANKS   (United States)

^b PACIFIC INSTITUTE OF GEOGRAPHY   (Russian Federation)

^c UNIVERSITÉ DE BOURGOGNE   (France)

^d UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Arctic biodiversity; Circumpolar seabird colonies; Data mining synthesis; GIS (Geographic Information System); Global Biodiversity Information Facility (GBIF); International Polar Year (IPY); Open access online databases; Pelagic circumpolar seabird distribution

Indexed keywords

ALGORITHM; ASSESSMENT METHOD; BIODIVERSITY; COLONY STRUCTURE; DATA ASSIMILATION; DATA SET; DATABASE; ECOLOGICAL MODELING; GIS; PELAGIC ENVIRONMENT; PERFORMANCE ASSESSMENT; PHYLOGENY; POPULATION DISTRIBUTION; SEABIRD; SPECIES DIVERSITY; SUSTAINABILITY; TAXONOMY;

ARCTIC;

EID: 79952575899     PISSN: 18671616     EISSN: 18671624     Source Type: Journal    
DOI: 10.1007/s12526-011-0083-2     Document Type: Article

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