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Resolving ecosystem complexity

Schmitz, Oswald J.

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Resolving ecosystem complexity

Record Type:	Electronic resources : Monograph/item
Title/Author:	Resolving ecosystem complexity/ Oswald J. Schmitz.
Author:	Schmitz, Oswald J.
Published:	Princeton, N.J. :Princeton University Press, : ©2010.,
Description:	1 online resource (xvi, 173 p.) :ill.
[NT 15003449]:	Introduction -- Conceptualizing ecosystem structure -- Trophic dynamics: why is the world green? -- The green world and the brown chain -- The evolutionary ecology of trophic control in ecosystems -- The whole and the parts -- The ecological theater and the evolutionary ecological play.
Subject:	Biotic communities. -
Online resource:	http://www.jstor.org/stable/10.2307/j.ctt7rs7b
ISBN:	9781400834174 (electronic bk.)

Resolving ecosystem complexity
Schmitz, Oswald J.

Resolving ecosystem complexity[electronic resource] /Oswald J. Schmitz. - Princeton, N.J. :Princeton University Press,©2010. - 1 online resource (xvi, 173 p.) :ill. - Monographs in population biology ;44. - Monographs in population biology ;45..

Includes bibliographical references (p. 143-166) and index.

Introduction -- Conceptualizing ecosystem structure -- Trophic dynamics: why is the world green? -- The green world and the brown chain -- The evolutionary ecology of trophic control in ecosystems -- The whole and the parts -- The ecological theater and the evolutionary ecological play.

An ecosystem's complexity develops from the vast numbers of species interacting in ecological communities. The nature of these interactions, in turn, depends on environmental context. How do these components together influence an ecosystem's behavior as a whole? Can ecologists resolve an ecosystem's complexity in order to predict its response to disturbances? Resolving Ecosystem Complexity develops a framework for anticipating the ways environmental context determines the functioning of ecosystems. Oswald Schmitz addresses the critical questions of contemporary ecology: How should an ecosystem be conceptualized to blend its biotic and biophysical components? How should evolutionary ecological principles be used to derive an operational understanding of complex, adaptive ecosystems? How should the relationship between the functional biotic diversity of ecosystems and their properties be understood? Schmitz begins with the universal concept that ecosystems are comprised of species that consume resources and which are then resources for other consumers. From this, he deduces a fundamental rule or evolutionary ecological mechanism for explaining context dependency: individuals within a species trade off foraging gains against the risk of being consumed by predators. Through empirical examples, Schmitz illustrates how species use evolutionary ecological strategies to negotiate a predator-eat-predator world, and he suggests that the implications of species trade-offs are critical to making ecology a predictive science. Bridging the traditional divides between individuals, populations, and communities in ecology, Resolving Ecosystem Complexity builds a systematic foundation for thinking about natural systems.

ISBN: 9781400834174 (electronic bk.)Subjects--Topical Terms:

541696
Biotic communities.

LC Class. No.: QH541 / .S326 2010

Dewey Class. No.: 577.8/2

Resolving ecosystem complexity
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020 $z 9780691128481 (hardcover : alk. paper)
020 $z 0691128480 (hardcover : alk. paper)
020 $z 9780691128498 (pbk. : alk. paper)
020 $z 0691128499 (pbk. : alk. paper)
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020 $z 9781282641730
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050 4 $a QH541 $b .S326 2010
082 0 4 $a 577.8/2 $2 22
100 1 $a Schmitz, Oswald J. $3 847421
245 1 0 $a Resolving ecosystem complexity $h [electronic resource] / $c Oswald J. Schmitz.
260 $a Princeton, N.J. : $b Princeton University Press, $c ©2010.
300 $a 1 online resource (xvi, 173 p.) : $b ill.
490 1 $a Monographs in population biology ; $v 44
504 $a Includes bibliographical references (p. 143-166) and index.
505 0 $a Introduction -- Conceptualizing ecosystem structure -- Trophic dynamics: why is the world green? -- The green world and the brown chain -- The evolutionary ecology of trophic control in ecosystems -- The whole and the parts -- The ecological theater and the evolutionary ecological play.
520 $a An ecosystem's complexity develops from the vast numbers of species interacting in ecological communities. The nature of these interactions, in turn, depends on environmental context. How do these components together influence an ecosystem's behavior as a whole? Can ecologists resolve an ecosystem's complexity in order to predict its response to disturbances? Resolving Ecosystem Complexity develops a framework for anticipating the ways environmental context determines the functioning of ecosystems. Oswald Schmitz addresses the critical questions of contemporary ecology: How should an ecosystem be conceptualized to blend its biotic and biophysical components? How should evolutionary ecological principles be used to derive an operational understanding of complex, adaptive ecosystems? How should the relationship between the functional biotic diversity of ecosystems and their properties be understood? Schmitz begins with the universal concept that ecosystems are comprised of species that consume resources and which are then resources for other consumers. From this, he deduces a fundamental rule or evolutionary ecological mechanism for explaining context dependency: individuals within a species trade off foraging gains against the risk of being consumed by predators. Through empirical examples, Schmitz illustrates how species use evolutionary ecological strategies to negotiate a predator-eat-predator world, and he suggests that the implications of species trade-offs are critical to making ecology a predictive science. Bridging the traditional divides between individuals, populations, and communities in ecology, Resolving Ecosystem Complexity builds a systematic foundation for thinking about natural systems.
588 0 $a Print version record.
650 0 $a Biotic communities. $3 541696
650 0 $a Ecosystem management. $3 535329
650 0 $a Biodiversity conservation. $3 602186
830 0 $a Monographs in population biology ; $v 45. $3 1299565
856 4 0 $u http://www.jstor.org/stable/10.2307/j.ctt7rs7b