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Animal Population Ecology

An Analytical Approach

«'This would be a valuable text for quantitative ecology courses. While manageable for interested general readers, its emphasis on mathematical applications and predictive parameters would make it most useful in advanced courses as a source of real-world examples. Mathematicians, too, may find the text valuable for teaching modeling in general, to supplement econometric, demographic, and climate models.' J. Burger, Choice»

Animal population ecology comprises the study of variations, regulation, and interactions of animal populations. This book discusses the fundamental notions and findings of animal populations on which most of the ecological studies are based. Les mer

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Animal population ecology comprises the study of variations, regulation, and interactions of animal populations. This book discusses the fundamental notions and findings of animal populations on which most of the ecological studies are based. In particular, the author selects the logistic law of population growth, the nature of competition, sociality as an antithesis of competition, the mechanism underlying the regulation of populations, predator-prey interaction processes, and interactions among closely related species competing over essential resources. These are the notions that are considered to be well-established facts or principles and are regularly taught at ecology classes or introduced in standard textbooks. However, the author demonstrates that these notions are still inadequately understood, or even misunderstood, creating myths that would misguide ecologists in carrying out their studies. He delves deeply into those notions to reveal their real nature and draws a road map to the future development of ecology.

Detaljer

Forlag
Cambridge University Press
Innbinding
Paperback
Språk
Engelsk
ISBN
9781108948166
Utgivelsesår
2021
Format
23 x 15 cm

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«'This would be a valuable text for quantitative ecology courses. While manageable for interested general readers, its emphasis on mathematical applications and predictive parameters would make it most useful in advanced courses as a source of real-world examples. Mathematicians, too, may find the text valuable for teaching modeling in general, to supplement econometric, demographic, and climate models.' J. Burger, Choice»

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