Animal Contests
About this book
Contests are an important aspect of the lives of diverse animals, from sea anemones competing for space on a rocky shore to fallow deer stags contending for access to females. Why do animals fight? What determines when fights stop and which contestant wins? Addressing fundamental questions on contest behaviour, this volume presents theoretical and empirical perspectives across a range of species. The historical development of contest research, the evolutionary theory of both dyadic and multiparty contests, and approaches to experimental design and data analysis are discussed in the first chapters. This is followed by reviews of research in key animal taxa, from the use of aerial displays and assessment rules in butterflies and the developmental biology of weapons in beetles, through to interstate warfare in humans. The final chapter considers future directions and applications of contest research, making this a comprehensive resource for both graduate students and researchers in the field.
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Table of contents
- Contents
- Contributors
- Foreword A personal history of the development of animal contest theory and its role in the 1970s
- Preface
- Acknowledgements
- Abbreviations
- 1 Introduction to animal contests
- 2 Dyadic contests: modelling fights between two individuals
- 3 Models of group or multi-party contests
- 4 Analysis of animal contest data
- 5 Contests in crustaceans: assessments, decisions and their underlying mechanisms
- 6 Aggression in spiders
- 7 Contest behaviour in butterflies: fighting without weapons
- 8 Hymenopteran contests and agonistic behaviour
- 9 Horns and the role of development in the evolution of beetle contests
- 10 Contest behaviour in fishes
- 11 Contests in amphibians
- 12 Lizards and other reptiles as model systems for the study of contest behaviour
- 13 Bird contests: from hatching to fertilisation
- 14 Contest behaviour in ungulates
- 15 Human contests: evolutionary theory and the analysis of interstate war
- 16 Prospects for animal contests
- Index
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