Collective foraging in spatially complex nutritional environments.
Identifieur interne : 000F60 ( Main/Exploration ); précédent : 000F59; suivant : 000F61Collective foraging in spatially complex nutritional environments.
Auteurs : Mathieu Lihoreau [France] ; Michael A. Charleston [Australie] ; Alistair M. Senior [Australie] ; Fiona J. Clissold [Australie] ; David Raubenheimer [Australie] ; Stephen J. Simpson [Australie] ; Jerome Buhl [Australie]Source :
- Philosophical transactions of the Royal Society of London. Series B, Biological sciences [ 1471-2970 ] ; 2017.
Abstract
Nutrition impinges on virtually all aspects of an animal's life, including social interactions. Recent advances in nutritional ecology show how social animals often trade-off individual nutrition and group cohesion when foraging in simplified experimental environments. Here, we explore how the spatial structure of the nutritional landscape influences these complex collective foraging dynamics in ecologically realistic environments. We introduce an individual-based model integrating key concepts of nutritional geometry, collective animal behaviour and spatial ecology to study the nutritional behaviour of animal groups in large heterogeneous environments containing foods with different abundance, patchiness and nutritional composition. Simulations show that the spatial distribution of foods constrains the ability of individuals to balance their nutrient intake, the lowest performance being attained in environments with small isolated patches of nutritionally complementary foods. Social interactions improve individual regulatory performances when food is scarce and clumpy, but not when it is abundant and scattered, suggesting that collective foraging is favoured in some environments only. These social effects are further amplified if foragers adopt flexible search strategies based on their individual nutritional state. Our model provides a conceptual and predictive framework for developing new empirically testable hypotheses in the emerging field of social nutrition.This article is part of the themed issue 'Physiological determinants of social behaviour in animals'.
DOI: 10.1098/rstb.2016.0238
PubMed: 28673915
Affiliations:
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Simpson</name><affiliation wicri:level="1"><nlm:affiliation>Charles Perkins Centre, University of Tasmania, Hobart, Tasmania 7005, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Charles Perkins Centre, University of Tasmania, Hobart, Tasmania 7005</wicri:regionArea><wicri:noRegion>Tasmania 7005</wicri:noRegion></affiliation></author><author><name sortKey="Buhl, Jerome" sort="Buhl, Jerome" uniqKey="Buhl J" first="Jerome" last="Buhl">Jerome Buhl</name><affiliation wicri:level="1"><nlm:affiliation>School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Southern Australia 5005, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Southern Australia 5005</wicri:regionArea><wicri:noRegion>Southern Australia 5005</wicri:noRegion></affiliation></author></analytic><series><title level="j">Philosophical transactions of the Royal Society of London. Series B, Biological sciences</title><idno type="eISSN">1471-2970</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Nutrition impinges on virtually all aspects of an animal's life, including social interactions. Recent advances in nutritional ecology show how social animals often trade-off individual nutrition and group cohesion when foraging in simplified experimental environments. Here, we explore how the spatial structure of the nutritional landscape influences these complex collective foraging dynamics in ecologically realistic environments. We introduce an individual-based model integrating key concepts of nutritional geometry, collective animal behaviour and spatial ecology to study the nutritional behaviour of animal groups in large heterogeneous environments containing foods with different abundance, patchiness and nutritional composition. Simulations show that the spatial distribution of foods constrains the ability of individuals to balance their nutrient intake, the lowest performance being attained in environments with small isolated patches of nutritionally complementary foods. Social interactions improve individual regulatory performances when food is scarce and clumpy, but not when it is abundant and scattered, suggesting that collective foraging is favoured in some environments only. These social effects are further amplified if foragers adopt flexible search strategies based on their individual nutritional state. Our model provides a conceptual and predictive framework for developing new empirically testable hypotheses in the emerging field of social nutrition.This article is part of the themed issue 'Physiological determinants of social behaviour in animals'.</div></front></TEI><affiliations><list><country><li>Australie</li><li>France</li></country><region><li>Midi-Pyrénées</li><li>Occitanie (région administrative)</li></region></list><tree><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Lihoreau, Mathieu" sort="Lihoreau, Mathieu" uniqKey="Lihoreau M" first="Mathieu" last="Lihoreau">Mathieu Lihoreau</name></region></country><country name="Australie"><noRegion><name sortKey="Charleston, Michael A" sort="Charleston, Michael A" uniqKey="Charleston M" first="Michael A" last="Charleston">Michael A. Charleston</name></noRegion><name sortKey="Buhl, Jerome" sort="Buhl, Jerome" uniqKey="Buhl J" first="Jerome" last="Buhl">Jerome Buhl</name><name sortKey="Clissold, Fiona J" sort="Clissold, Fiona J" uniqKey="Clissold F" first="Fiona J" last="Clissold">Fiona J. Clissold</name><name sortKey="Raubenheimer, David" sort="Raubenheimer, David" uniqKey="Raubenheimer D" first="David" last="Raubenheimer">David Raubenheimer</name><name sortKey="Senior, Alistair M" sort="Senior, Alistair M" uniqKey="Senior A" first="Alistair M" last="Senior">Alistair M. Senior</name><name sortKey="Simpson, Stephen J" sort="Simpson, Stephen J" uniqKey="Simpson S" first="Stephen J" last="Simpson">Stephen J. Simpson</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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