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Elements of Mathematical Ecology [Paperback]

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  • Category: Books (Science)
  • Author:  Kot, Mark
  • Author:  Kot, Mark
  • ISBN-10:  0521001501
  • ISBN-10:  0521001501
  • ISBN-13:  9780521001502
  • ISBN-13:  9780521001502
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  464
  • Pages:  464
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2001
  • Pub Date:  01-May-2001
  • SKU:  0521001501-11-MPOD
  • SKU:  0521001501-11-MPOD
  • Item ID: 100188005
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.
An introduction to classical and modern mathematical models, methods, and issues in population ecology.This book 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 nature. The second part of the book covers more complex structured population models. The volume includes numerous 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.This book 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 nature. The second part of the book covers more complex structured population models. The volume includes numerous 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 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 upperl“:
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