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Nutritional ecology beyond the individual: a conceptual framework for integrating nutrition and social interactions

Citation

Lihoreau, M and Buhl, J and Charleston, MA and Sword, GA and Raubenheimer, D and Simpson, SJ, Nutritional ecology beyond the individual: a conceptual framework for integrating nutrition and social interactions, Ecology Letters, 18, (3) pp. 273-286. ISSN 1461-023X (2015) [Refereed Article]


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2015 The Authors Licenced under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) http://creativecommons.org/licenses/by-nc-nd/4.0/

DOI: doi:10.1111/ele.12406

Abstract

Over recent years, modelling approaches from nutritional ecology (known as Nutritional Geometry) have been increasingly used to describe how animals and some other organisms select foods and eat them in appropriate amounts in order to maintain a balanced nutritional state maximising fitness. These nutritional strategies profoundly affect the physiology, behaviour and performance of individuals, which in turn impact their social interactions within groups and societies. Here, we present a conceptual framework to study the role of nutrition as a major ecological factor influencing the development and maintenance of social life. We first illustrate some of the mechanisms by which nutritional differences among individuals mediate social interactions in a broad range of species and ecological contexts. We then explain how studying individual- and collective-level nutrition in a common conceptual framework derived from Nutritional Geometry can bring new fundamental insights into the mechanisms and evolution of social interactions, using a combination of simulation models and manipulative experiments.

Item Details

Item Type:Refereed Article
Keywords:collective animal behaviour, individual-based models, nutritional ecology, nutritional geometry, social biology, social interactions
Research Division:Biological Sciences
Research Group:Genetics
Research Field:Population, Ecological and Evolutionary Genetics
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Biological Sciences
UTAS Author:Charleston, MA (Associate Professor Michael Charleston)
ID Code:100233
Year Published:2015
Web of Science® Times Cited:46
Deposited By:Mathematics and Physics
Deposited On:2015-05-07
Last Modified:2017-10-31
Downloads:339 View Download Statistics

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