Resolving Ecosystem Complexity (MPB-47)
Oswald J. Schmitz
Verkauft von Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
AbeBooks-Verkäufer seit 27. Februar 2001
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In den Warenkorb legenVerkauft von Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
AbeBooks-Verkäufer seit 27. Februar 2001
Zustand: New
Anzahl: 1 verfügbar
In den Warenkorb legenHow 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? This book addresses the critical questions of contemporary ecology. Series: Monographs in Population Biology. Num Pages: 192 pages, 32 line illus. BIC Classification: PSAF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 236 x 153 x 14. Weight in Grams: 308. . 2010. Paperback. . . . .
Bestandsnummer des Verkäufers V9780691128498
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.
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