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


By dbiro - Posted on 24 March 2010

TitleMigration and stopover in a small pelagic seabird, the Manx shearwater Puffinus puffinus: insights from machine learning
Publication TypeJournal Article
Year of Publication2009
AuthorsGuilford, T. C., J. Meade, J. Willis, R. A. Phillips, D. Boyle, S. Roberts, M. Collett, R. Freeman, and C. M. Perrins
JournalProceedings of the Royal Society B: Biological Sciences
Volume276
Issue1660
Pagination1215-1223
Date PublishedApril 7, 2009
Abstract

The migratory movements of seabirds (especially smaller species) remain poorly understood, despite their role as harvesters of marine ecosystems on a global scale and their potential as indicators of ocean health. Here we report a successful attempt, using miniature archival light loggers (geolocators), to elucidate the migratory behaviour of the Manx shearwater , a small (400 g) Northern Hemisphere breeding procellariform that undertakes a trans-equatorial, trans-Atlantic migration. We provide details of over-wintering areas, of previously unobserved marine stopover behaviour, and the long-distance movements of females during their pre-laying exodus. Using salt-water immersion data from a subset of loggers, we introduce a method of behaviour classification based on Bayesian machine learning techniques. We used both supervised and unsupervised machine learning to classify each bird's daily activity based on simple properties of the immersion data. We show that robust activity states emerge, characteristic of summer feeding, winter feeding and active migration. These can be used to classify probable behaviour throughout the annual cycle, highlighting the likely functional significance of stopovers as refuelling stages.

URLhttp://rspb.royalsocietypublishing.org/content/276/1660/1215.abstract
DOI10.1098/rspb.2008.1577
Citation Key108