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20 - Social behaviour in conservation

Published online by Cambridge University Press:  05 June 2012

Daniel T. Blumstein
Affiliation:
University of California Los Angeles, California, USA
Tamás Székely
Affiliation:
University of Bath
Allen J. Moore
Affiliation:
University of Exeter
Jan Komdeur
Affiliation:
Rijksuniversiteit Groningen, The Netherlands
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Summary

Overview

This chapter develops links between social behaviour and demography, and illustrates how knowledge of social behaviour may be used to manage populations for conservation. The chapter is necessarily speculative, both because the ‘formal’ field of conservation behaviour is still only a decade old, and because explicit applications of social management are still relatively uncommon. I summarise case studies where social behaviour has been manipulated to manage populations, and suggest possible ways that behaviour could be used to manage populations. After defining effective population size, I list a number of ways that social behaviour may influence it, via genetic variation, survival and reproductive success. Reproductive skew emerges from unequal reproduction, which may be caused by (among other things) social stress, reproductive suppression and infanticide. Social aggregation may reduce natural mortality, and the observations that animals seek conspecifics may be used as a management tool to attract individuals to protected locations. But conspecific attraction and social aggregation may also predispose a population to be vulnerable to human exploitation. Social factors (including reproductive opportunities) may drive dispersal and movements between groups. Humans can influence the structure of social relationships in animals, and these manipulations may influence group stability. Knowledge of these and other mechanisms arms managers with tools to manipulate the habitat or relationships to favourably influence social behaviour and structure, and thereby better manage a population.

Type
Chapter
Information
Social Behaviour
Genes, Ecology and Evolution
, pp. 520 - 534
Publisher: Cambridge University Press
Print publication year: 2010

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