Perturbation, Behavioural Feedbacks, and Population Dynamics in Social Animals

Released on by Daniel Oro
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  • Perturbation, Behavioural Feedbacks, and Population Dynamics in Social Animals Book Detail

  • Author : Daniel Oro
  • Release Date : 2020-03-26
  • Publisher : Oxford University Press, USA
  • Genre : Nature
  • Pages : 165
  • ISBN 13 : 0198849834
  • File Size : 84,84 MB
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Perturbation, Behavioural Feedbacks, and Population Dynamics in Social Animals by Daniel Oro PDF Summary

Book Description: This novel, transdisciplinary work explains how perturbations (defined as strong disturbances or deviations to a system) can affect the population dynamics of social animals, including ourselves. Social responses to perturbations, especially dispersal processes, can also generate non-linear population dynamics, including the potential appearance of tipping points and critical population transitions, which can in turn lead to catastrophic shifts and collapses. The book describes the links between social behaviour (mainly the use of social information and social copying), and non-linear population dynamics at different spatial scales (local dynamics and meta-population dynamics), and their ecological and evolutionary consequences. Examples from the natural world illustrate each of the main themes (prospecting, habitat suitability, collective dispersal, and cultural evolution). Human warfare and conflict, referred to in several chapters together with quantitative and qualitative examples, is also viewed as a form of perturbation and represents a paradigmatic example of the rationale behind this book. This applicability to our own species is particularly timely, given increased interest in both ecosystem change, human migration, and the global refugee crisis. Perturbation, Behavioural Feedbacks, and Population Dynamics in Social Animals will appeal to applied, theoretical, and evolutionary ecologists, particularly those working on the population and behavioural ecology of any social animal including humans. Its overlap with the study of complexity will also ensure its relevance and use to scientists from other disciplines such as sociology, anthropology, physics, computational science, economics, and mathematics.

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