Collective foraging in spatially complex nutritional environments

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...

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Published inPhilosophical transactions of the Royal Society of London. Series B. Biological sciences Vol. 372; no. 1727; pp. 1 - 11
Main Authors Lihoreau, Mathieu, Charleston, Michael A., Senior, Alistair M., Clissold, Fiona J., Raubenheimer, David, Simpson, Stephen J., Buhl, Jerome
Format Journal Article
LanguageEnglish
Published England THE ROYAL SOCIETY 19.08.2017
The Royal Society
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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 individualbased 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'.
AbstractList 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’.
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 individualbased 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'.
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’.
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'.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'.
Author Charleston, Michael A.
Buhl, Jerome
Simpson, Stephen J.
Clissold, Fiona J.
Senior, Alistair M.
Lihoreau, Mathieu
Raubenheimer, David
AuthorAffiliation 1 Research Center on Animal Cognition (CRCA), Center for Integrative Biology (CBI), University Paul Sabatier, CNRS, UPS , 118 route de Narbonne, Toulouse 31200 , France
2 School of Physical Sciences, University of Tasmania , Hobart, Tasmania 7005 , Australia
4 School of Mathematics and Statistics, University of Tasmania , Hobart, Tasmania 7005 , Australia
5 School of Life and Environmental Sciences , The University of Sydney , NSW 2006 , Australia
6 School of Agriculture, Food and Wine, The University of Adelaide , Waite Campus, Southern Australia 5005 , Australia
3 Charles Perkins Centre, University of Tasmania , Hobart, Tasmania 7005 , Australia
AuthorAffiliation_xml – name: 2 School of Physical Sciences, University of Tasmania , Hobart, Tasmania 7005 , Australia
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– name: 1 Research Center on Animal Cognition (CRCA), Center for Integrative Biology (CBI), University Paul Sabatier, CNRS, UPS , 118 route de Narbonne, Toulouse 31200 , France
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Issue 1727
Keywords foraging
nutritional geometry
collective behaviour
spatial ecology
individual-based model
social interactions
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Snippet Nutrition impinges on virtually all aspects of an animal's life, including social interactions. Recent advances in nutritional ecology show how social animals...
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SubjectTerms Animals
Collective Behaviour
Computer simulation
Ecological effects
Ecological monitoring
Feeding Behavior
Food
Forage
Foraging
Individual-Based Model
Invertebrates - physiology
Models, Biological
Nutrient balance
Nutrition
Nutritional ecology
Nutritional Geometry
Social Behavior
Social factors
Social Interactions
Spatial distribution
Spatial Ecology
Vertebrates - physiology
Title Collective foraging in spatially complex nutritional environments
URI https://www.jstor.org/stable/44679064
https://royalsocietypublishing.org/doi/full/10.1098/rstb.2016.0238
https://www.ncbi.nlm.nih.gov/pubmed/28673915
https://www.proquest.com/docview/1983889829
https://www.proquest.com/docview/1915878185
https://www.proquest.com/docview/1919975689
https://pubmed.ncbi.nlm.nih.gov/PMC5498299
Volume 372
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