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Avoiding Attack discusses the diversity of mechanisms by which prey avoid predator attacks and explores how such defensive mechanisms have evolved through natural selection. It considers how potential prey avoid detection, how they make themselves unprofitable to attack, how they communicate this status, and how other species have exploited these signals. Using carefully selected examples of camouflage, mimicry, and warning signals drawn from a wide range of species and ecosystems, the authors summarise the latest research into these fascinating adaptations, developing mathematical models where appropriate and making recommendations for future study. This second edition has been extensively rewritten, particularly in the application of modern genetic research techniques which have transformed our recent understanding of adaptations in evolutionary genomics and phylogenetics. The book also employs a more integrated and systematic approach, ensuring that each chapter has a broader focus on the evolutionary and ecological consequences of anti-predator adaptation. The field has grown and developed considerably over the last decade with an explosion of new research literature, making this new edition timely.
This text investigates the evolutionary mechanisms through which prey species develop defensive strategies to avoid predation. The authors, all established researchers in evolutionary ecology, synthesize decades of empirical data and theoretical modeling to explain how natural selection drives the development of crypsis, aposematism, and mimicry. By integrating modern genomic techniques with traditional ecological observation, the book provides a comprehensive framework for understanding the complex arms race between predators and their prey.
What You Will Find
Scope Limits
Experts recognize this work as a foundational synthesis of anti-predator adaptation research. Readers frequently note the academic density of the prose, which is well-suited for students and professionals in the biological sciences.
Page Count:
304
Publication Date:
2019-01-01
Publisher:
OUP Oxford
ISBN-10:
0191002631
ISBN-13:
9780191002632
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