Mathematical Modeling in Ecology by C Jeffries

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Summary

Mathematical ecology is the application of mathematics to describe and understand ecosystems. However, this book is devoted entirely to introducing the student to the second approach: to study deterministic mathematical models and, on the basis of mathematical results on the models, to look for the same patterns or relationships in nature.

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Mathematical Modeling in Ecology by C Jeffries

Mathematical ecology is the application of mathematics to describe and understand ecosystems. There are two main approaches. One is to describe natural communities and induce statistical patterns or relationships which should generally occur. However, this book is devoted entirely to introducing the student to the second approach: to study deterministic mathematical models and, on the basis of mathematical results on the models, to look for the same patterns or relationships in nature. This book is a compromise between three competing desiderata. It seeks to: maximize the generality of the models; constrain the models to behave realistically, that is, to exhibit stability and other features; and minimize the difficulty of presentations of the models. The ultimate goal of the book is to introduce the reader to the general mathematical tools used in building realistic ecosystem models. Just such a model is presented in Chapter Nine. The book should also serve as a stepping-stone both to advanced mathematical works like Stability of Biological Communities by Yu. M. Svirezhev and D. O. Logofet (Mir, Moscow, 1983) and to advanced modeling texts like Freshwater Ecosystems by M. Straskraba and A. H. Gnauch (Elsevier, Amsterdam, 1985).
SKU Unavailable
ISBN 13 9780817634216
ISBN 10 0817634215
Title Mathematical Modeling in Ecology
Author C Jeffries
Series Mathematical Modeling
Condition Unavailable
Binding Type Hardback
Publisher Birkhauser Boston Inc
Year published 1989-01-01
Number of pages 194
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.