This volume unifies population studies emphasising the interplay between modelling and experimentation. Series Editor(s): Cannings, C.; Hoppensteadt, Frank C.; Segel, L. A. Series: Cambridge Studies in Mathematical Biology. Num Pages: 424 pages, line drawings, tables, references, indexes. BIC Classification: PBWH; RNC. Category: (P) Professional & Vocational. Dimension: 150 x 227 x 29. Weight in Grams: 668. . 1993. Reprint. paperback. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Modelling Biological Populations in Space and Time: 11 (Cambridge Studies in Mathematical Biology, Series Number 11)
Publisher: Cambridge University Press
Publication Date: 1993
Language: English
ISBN 10: 0521448557
ISBN 13: 9780521448550
Binding: Soft cover
Condition: New

About this title

Synopsis

This volume develops a unifying approach to population studies that emphasizes the interplay between modeling and experimentation and that will provide mathematicians and biologists with a framework within which population dynamics can be fully explored and understood. A unique feature of the book is that deterministic and stochastic models are considered together; spatial effects are investigated by developing models that highlight the consequences that geographical restriction and species mobility may have on population development. Model-based simulations of processes are used to explore hitherto unforeseen features and thereby suggest further profitable lines of both experimentation and theoretical study. Most aspects of population dynamics are covered, including birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures.

Book Description

Emphasizing the interplay between modeling and experimentation, this volume aims to develop a unifying approach to population studies that will provide mathematicians and biologists with a framework within which population dynamics can be fully explored and understood.

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