Predictive ethoinformatics reveals the complex migratory behaviour of a pelagic seabird, the Manx Shearwater

Freeman, Robin; Dean, Ben; Kirk, Holly; Leonard, Kerry; Phillips, Richard A.; Perrins, Chris M.; Guilford, Tim. 2013 Predictive ethoinformatics reveals the complex migratory behaviour of a pelagic seabird, the Manx Shearwater. Journal of The Royal Society Interface, 10 (84). 8, pp. https://doi.org/10.1098/rsif.2013.0279

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Abstract/Summary

Understanding the behaviour of animals in the wild is fundamental to conservation efforts. Advances in bio-logging technologies have offered insights into the behaviour of animals during foraging, migration and social interaction. However, broader application of these systems has been limited by device mass, cost and longevity. Here, we use information from multiple logger types to predict individual behaviour in a highly pelagic, migratory seabird, the Manx Shearwater (Puffinus puffinus). Using behavioural states resolved from GPS tracking of foraging during the breeding season, we demonstrate that individual behaviours can be accurately predicted during multi-year migrations from low cost, lightweight, salt-water immersion devices. This reveals a complex pattern of migratory stopovers: some involving high proportions of foraging, and others of rest behaviour. We use this technique to examine three consecutive years of global migrations, revealing the prominence of foraging behaviour during migration and the importance of highly productive waters during migratory stopover.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1098/rsif.2013.0279
Programmes:	BAS Programmes > Polar Science for Planet Earth (2009 - ) > Ecosystems
ISSN:	1742-5689
Additional Keywords:	migration, behaviour, foraging, bio-logging, machine learning, ethoinformatics
Date made live:	16 Jul 2013 08:48 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/502638

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1098/rsif.2013.0279

Programmes:

BAS Programmes > Polar Science for Planet Earth (2009 - ) > Ecosystems

ISSN:

1742-5689

Additional Keywords:

migration, behaviour, foraging, bio-logging, machine learning, ethoinformatics

Date made live:

16 Jul 2013 08:48 +0 (UTC)