Why does nature love symmetry? In Asymmetry, Developmental Stability and Evolution, M--oslash--;ller and Swaddle analyse the evolutionary implications of symmetry. They advance and explain their theory that asymmetry is related to genetic stability and fitness, and that symmetric individuals appear to have quantifiable and significant advantages over their asymmetric counterparts. When assessing potential mates or competitors, animals may be able to use symmetry as an honest indication of quality. This interdisciplinary book, with its associated Web-site, will be of interest to students and researchers in the fields of ecology, evolutionary biology, genetics, and animal behaviour. - ;Why does nature love symmetry? In Asymmetry, Developmental Stability and Evolution, M--oslash--;ller and Swaddle analyse the evolutionary implications of symmetry. They advance and explain their theory that symmetry is related to genetic stability and fitness, and that symmetric individuals appear to have quantifiable and significant advantages over their asymmetric counterparts. When assessing potential mates or competitors, animals may be able to use symmetry as an honest indication of quality. This interdisciplinary book, with its associated Web-site, will be of interest to students and researchers in the fields of ecology, evolutionary biology, genetics, and animal behaviour. -
The principles of game theory apply to a wide range of topics in biology. This book presents the central concepts in evolutionary game theory and provides an authoritative and up-to-date account. The focus is on concepts that are important for biologists in their attempts to explain observations. This strong connection between concepts and applications is a recurrent theme throughout the book which incorporates recent and traditional ideas from animal psychology, neuroscience, and machine learning that provide a mechanistic basis for behaviours shown by players of a game. The approaches taken to modelling games often rest on idealized and unrealistic assumptions whose limitations and consequences are not always appreciated. The authors provide a novel reassessment of the field, highlighting how to overcome limitations and identifying future directions. Game Theory in Biology is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of behavioural ecology and evolutionary biology. It will also be of relevance to a broader interdisciplinary audience including psychologists and neuroscientists.
In ecosystems with many species, food webs form highly complex networks of resource-consumer interactions. At the same time, the food web as itself needs sufficient resources to develop and survive. So in fact, food web ecology is about how natural resources form the basis of biological communities, in terms of species richness and abundances as well as how species are organised in communities on the basis of the resource availability and use. The central theme of this book is that patterns in the utilisation of energy result from the trophic interactions among species, and that these patterns form the basis of ecosystem stability. The authors integrate the latest work on community dynamics, ecosystem energetics, and stability, and in so doing attempt to dispel the categorisation of the field into the separate subdisciplines of population, community, and ecosystem ecology. Energetic Food Webs represents the first attempt to bridge the gap between the energetic and species approaches to ecology.
Provides readers with the concepts and practical tools required to understand the maximum entropy principle, and apply it to an understanding of ecological patterns. The theory developed predicts realistic forms for all metrics of ecology that describe patterns in the distribution, abundance, and energetics of species.
The reliability of animal signals is a central problem for evolutionary biologists. This text argues that it is maintained in several ways, relevant in different circumstances, and that biologists must learn to distinguish between them.
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