Migration and stopover in a small pelagic seabird, the Manx shearwater Puffinus puffinus: Insights from machine learning

Proceedings of the Royal Society B: Biological Sciences

Volumn 276, Issue 1660, 2009, Pages 1215-1223

  Guilford, T ^a   Meade, J ^b   Willis, J ^a   Phillips, R A ^c   Boyle, D ^d   Roberts, S ^a   Collett, M ^a   Freeman, R ^e   Perrins, C M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

^c BRITISH ANTARCTIC SURVEY   (United Kingdom)

^d Skomer Island National Nature Reserve Marloes   (United Kingdom)

^e MICROSOFT RESEARCH   (United Kingdom)

Author keywords

Bayesian machine learning; Geolocator tracking technology; Manx shearwater; Migration; Spatial ecology; Tracking pelagic seabirds

Indexed keywords

ANNUAL CYCLE; BAYESIAN ANALYSIS; FEEDING BEHAVIOR; MARINE ECOSYSTEM; NORTHERN HEMISPHERE; OVERWINTERING; SEABIRD; SEAWATER; SPATIAL ANALYSIS; STOPOVER; TRACKING;

ARTICLE; CLIMATE CHANGE; CONTROLLED STUDY; FEEDING BEHAVIOR; MACHINE LEARNING; NONHUMAN; PELAGIC SPECIES; POPULATION MIGRATION; POPULATION MOVEMENT PATTERN; PRIORITY JOURNAL; PUFFINUS PUFFINUS; SEABIRD;

AVES; PUFFINUS PUFFINUS;

ANIMAL MIGRATION; ANIMALS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIRDS; FEMALE; OCEANS AND SEAS; TELEMETRY;

EID: 66149163319     PISSN: 09628452     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rspb.2008.1577     Document Type: Article

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