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Chaos in ecology = experimental nonl...

Cushing, J. M. (1942-)

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Chaos in ecology = experimental nonlinear dynamics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Chaos in ecology/ J.M. Cushing ... [et al.].
Reminder of title:	experimental nonlinear dynamics /
other author:	Cushing, J. M.
Published:	Amsterdam ;Boston : : c2003.,
Description:	xiv, 225 p. :ill. ;24 cm.
[NT 15003449]:	Introduction. -- Models. -- Bifurcations. -- Chaos. -- Patterns in Chaos. -- What We Learned. -- Bibliography. -- Appendix.
Subject:	Chaotic behavior in systems. -
Online resource:	http://www.sciencedirect.com/science/book/9780121988760An electronic book accessible through the World Wide Web; click for information
Online resource:	http://www.loc.gov/catdir/toc/els031/2002104259.html
Online resource:	http://www.loc.gov/catdir/description/els031/2002104259.html
ISBN:	0121988767

Chaos in ecology = experimental nonlinear dynamics /
Chaos in ecologyexperimental nonlinear dynamics /[electronic resource] :J.M. Cushing ... [et al.]. - Amsterdam ;Boston :c2003. - xiv, 225 p. :ill. ;24 cm. - Academic Press theoretical ecology series. - Theoretical ecology series..

Includes bibliographical references (p. 183-193).

Introduction. -- Models. -- Bifurcations. -- Chaos. -- Patterns in Chaos. -- What We Learned. -- Bibliography. -- Appendix.

It is impossible to predict the exact behavior of all biological systems and how these same systems are exemplified by patterns of complexity and regularity. Decades of research in ecology have documented how these sorts of patterns are the consequences of deceptively simple rules that determine the nature of the patterns created. Chaos in Ecology will explain how simple beginnings result in complicated results. Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dynamics. As a result, this book will be of interest to anyone interested in the ecology of populations. It is impossible to predict the exact behavior of almost all biological systems and yet these same systems are exemplified by patterns of complexity and regularity. Decades of research in ecology have documented that these sorts of patterns are the consequence of deceptively simple rules that determine the nature of the patterns created. In essence, simple beginnings result in complicated results. This realization is captured in the mathematical notion of "chaos" and is rendered intuitive by the oft-repeated metaphor: "A butterfly beats its wings in China and causing a thunderstorm in the Midwest." Thus, seemingly trivial initial conditions (e.g. a butterfly in China) cascade through a series of intermediate events to create a significant large-scale event (e.g. a thunderstorm). Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dynamics. As a result, this book will be of interest to anyone interested in the ecology of populations.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 0121988767

Source: 90508:90508Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

524350
Chaotic behavior in systems.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QH541.15.M3 / C467 2003eb

Dewey Class. No.: 577/.01/5118

Chaos in ecology = experimental nonlinear dynamics /
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245 0 0 $a Chaos in ecology $h [electronic resource] : $b experimental nonlinear dynamics / $c J.M. Cushing ... [et al.].
260 $a Amsterdam ; $c c2003. $b Boston : $b Academic Press,
300 $a xiv, 225 p. : $b ill. ; $c 24 cm.
490 1 $a Academic Press theoretical ecology series
504 $a Includes bibliographical references (p. 183-193).
505 0 $a Introduction. -- Models. -- Bifurcations. -- Chaos. -- Patterns in Chaos. -- What We Learned. -- Bibliography. -- Appendix.
520 $a It is impossible to predict the exact behavior of all biological systems and how these same systems are exemplified by patterns of complexity and regularity. Decades of research in ecology have documented how these sorts of patterns are the consequences of deceptively simple rules that determine the nature of the patterns created. Chaos in Ecology will explain how simple beginnings result in complicated results. Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dynamics. As a result, this book will be of interest to anyone interested in the ecology of populations. It is impossible to predict the exact behavior of almost all biological systems and yet these same systems are exemplified by patterns of complexity and regularity. Decades of research in ecology have documented that these sorts of patterns are the consequence of deceptively simple rules that determine the nature of the patterns created. In essence, simple beginnings result in complicated results. This realization is captured in the mathematical notion of "chaos" and is rendered intuitive by the oft-repeated metaphor: "A butterfly beats its wings in China and causing a thunderstorm in the Midwest." Thus, seemingly trivial initial conditions (e.g. a butterfly in China) cascade through a series of intermediate events to create a significant large-scale event (e.g. a thunderstorm). Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dynamics. As a result, this book will be of interest to anyone interested in the ecology of populations.
533 $a Electronic reproduction. $b Amsterdam : $c Elsevier Science & Technology, $d 2007. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Title from title screen (viewed on July 25, 2007). $n Access may be restricted to users at subscribing institutions.
650 0 $a Chaotic behavior in systems. $3 524350
650 0 $a Ecology $x Mathematical models. $3 545792
650 0 $a Nonlinear theories. $3 524352
650 0 $a Population biology $x Mathematical models. $3 545791
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700 1 $a Cushing, J. M. $q (Jim Michael), $d 1942- $3 560746
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856 4 1 $3 Table of contents $u http://www.loc.gov/catdir/toc/els031/2002104259.html
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