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- Sheng‐Feng Shen
- Biodiversity Research Center Academia Sinica Taipei 115 Taiwan
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- Stephen T. Emlen
- Department of Neurobiology and Behavior Cornell University Ithaca NY 14853 USA
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- Walter D. Koenig
- Department of Neurobiology and Behavior Cornell University Ithaca NY 14853 USA
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- Dustin R. Rubenstein
- Department of Ecology, Evolution and Environmental Biology Columbia University New York NY 10027 USA
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- David Hosken
- editor
Abstract
<jats:title>Abstract</jats:title><jats:p>Ecology is a fundamental driving force for the evolutionary transition from solitary living to breeding cooperatively in groups. However, the fact that both benign and harsh, as well as stable and fluctuating, environments can favour the evolution of cooperative breeding behaviour constitutes a paradox of environmental quality and sociality. Here, we propose a new model – the dual benefits framework – for resolving this paradox. Our framework distinguishes between two categories of grouping benefits – resource defence benefits that derive from group‐defended critical resources and collective action benefits that result from social cooperation among group members – and uses insider–outsider conflict theory to simultaneously consider the interests of current group members (insiders) and potential joiners (outsiders) in determining optimal group size. We argue that the different grouping benefits realised from resource defence and collective action profoundly affect insider–outsider conflict resolution, resulting in predictable differences in the <jats:italic>per capita</jats:italic> productivity, stable group size, kin structure and stability of the social group. We also suggest that different types of environmental variation (spatial vs. temporal) select for societies that form because of the different grouping benefits, thus helping to resolve the paradox of why cooperative breeding evolves in such different types of environments.</jats:p>
Journal
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- Ecology Letters
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Ecology Letters 20 (6), 708-720, 2017-05-07
Wiley
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Details 詳細情報について
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- CRID
- 1363670318306957952
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- ISSN
- 14610248
- 1461023X
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- Data Source
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- Crossref