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Optic flow cues help explain altitude control over sea in freely flying gulls

Authors :
Susanne Åkesson
Anders Hedenström
Franck Ruffier
Judy Shamoun-Baranes
Julien Serres
Olivier Duriez
Thomas J. Evans
Institut des Sciences du Mouvement Etienne Jules Marey (ISM)
Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Aix Marseille Université (AMU)
Departement of Biology, CAnMove, Lund University
Lund University [Lund]
Marine Scotland Science (MSS)
Université Paul-Valéry - Montpellier 3 (UPVM)
Centre d’Ecologie Fonctionnelle et Evolutive (CEFE)
Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Theoretical and Computational Ecology, Institute of Biodiversity and Ecosystem Dynamics, University of Amsterdam
Centre National de la Recherche Scientifique (CNRS)
Swedish Research Council (621-2007-5930
621-2010-5584, 621-2013-4361, 621-2012-3585), Lund University, a Linnaeus grant from the Swedish Research Council (349-2007-8690) to the Centre for Animal Movement Research (CAnMove) Lund University.
Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Department of Biology, CAnMove, Lund University
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud])
Marine Scotland Science, Marine Laboratory
Université Paul Valéry (Montpellier 3)
Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Theoretical and Computational Ecology (IBED, FNWI)
Source :
J R Soc Interface, Journal of the Royal Society Interface, Journal of the Royal Society Interface, 2019, 16 (159), pp.20190486. ⟨10.1098/rsif.2019.0486⟩, Journal of the Royal Society Interface, the Royal Society, 2019, 16 (159), pp.20190486. ⟨10.1098/rsif.2019.0486⟩, Journal of the Royal Society Interface, 16(159):20190486. The Royal Society
Publication Year :
2019

Abstract

For studies of how birds control their altitude, seabirds are of particular interest because they forage offshore where the visual environment can be simply modelled by a flat world textured by waves then generating only ventral visual cues. This study suggests that optic flow, i.e. the rate at which the sea moves across the eye’s retina, can explain gulls’ altitude control over seas. In particular, a new flight model that includes both energy and optical invariants helps explain the gulls’ trajectories during offshore takeoff and cruising flight. A linear mixed model applied to 352 flights from 16 individual lesser black backed gulls (Larus fuscus) revealed a statistically significant optic flow set-point ofca25° s−1. Thereafter, an optic flow-based flight model was applied to 18 offshore takeoff flights from nine individual gulls. By introducing an upper limit in climb rate on the elevation dynamics, coupled with an optic flow set-point, the predicted altitude gives an optimized fit factor value of 63% on average (30–83% in range) with respect to the GPS data. We conclude that the optic flow regulation principle helps gulls to adjust their altitude over sea without having to directly measure their current altitude.

Details

ISSN :
17425662 and 17425689
Volume :
16
Issue :
159
Database :
OpenAIRE
Journal :
Journal of the Royal Society, Interface
Accession number :
edsair.doi.dedup.....d70013cff31b6d25b973f4ea0b3fba16
Full Text :
https://doi.org/10.1098/rsif.2019.0486⟩