Elements of Mathematical Ecology

Elements of Mathematical Ecology
Author: Mark Kot
Publisher: Cambridge University Press
Total Pages: 466
Release: 2001-07-19
Genre: Nature
ISBN: 1316584054

Elements of Mathematical Ecology provides an introduction to classical and modern mathematical models, methods, and issues in population ecology. The first part of the book is devoted to simple, unstructured population models that ignore much of the variability found in natural populations for the sake of tractability. Topics covered include density dependence, bifurcations, demographic stochasticity, time delays, population interactions (predation, competition, and mutualism), and the application of optimal control theory to the management of renewable resources. The second part of this book is devoted to structured population models, covering spatially-structured population models (with a focus on reaction-diffusion models), age-structured models, and two-sex models. Suitable for upper level students and beginning researchers in ecology, mathematical biology and applied mathematics, the volume includes numerous clear line diagrams that clarify the mathematics, relevant problems thoughout the text that aid understanding, and supplementary mathematical and historical material that enrich the main text.

Elements of Mathematical Ecology

Elements of Mathematical Ecology
Author: Mark Kot
Publisher: Cambridge University Press
Total Pages: 468
Release: 2001-07-19
Genre: Mathematics
ISBN: 9780521001502

An introduction to classical and modern mathematical models, methods, and issues in population ecology.

Mathematical Biology

Mathematical Biology
Author: Ronald W. Shonkwiler
Publisher: Springer Science & Business Media
Total Pages: 552
Release: 2009-08-04
Genre: Science
ISBN: 0387709843

This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field of genomics.