1.

Record Nr.

UNICAMPANIASUN0056813

Autore

Shoup, Victor

Titolo

A computational introduction to number theory and algebra / Victor Shoup

Pubbl/distr/stampa

Cambridge, : Cambridge university, 2005

ISBN

978-05-218-5154-1

Descrizione fisica

XVI, 517 p. ; 26 cm.

Soggetti

11Yxx - Computational number theory [MSC 2020]

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910460278903321

Autore

Schmitz Oswald J

Titolo

Resolving ecosystem complexity [[electronic resource] /] / Oswald J. Schmitz

Pubbl/distr/stampa

Princeton, N.J., : Princeton University Press, 2010

ISBN

1-282-64173-5

9786612641732

1-4008-3417-1

Edizione

[Course Book]

Descrizione fisica

1 online resource (193 p.)

Collana

Monographs in population biology ; ; 44

Classificazione

WI 2050

Disciplina

577.8/2

Soggetti

Biotic communities

Ecosystem management

Biodiversity conservation

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.



Nota di contenuto

Frontmatter -- Contents -- List of Illustrations -- List of Tables -- Preface -- CHAPTER 1. Introduction -- CHAPTER 2. Conceptualizing Ecosystem Structure -- CHAPTER 3. Trophic Dynamics: Why Is the World Green? -- CHAPTER 4. The Green World and the Brown Chain -- CHAPTER 5. The Evolutionary Ecology of Trophic Control in Ecosystems -- CHAPTER 6. The Whole and the Parts -- CHAPTER 7. The Ecological Theater and the Evolutionary Ecological Play -- Closing Remarks -- References -- Index -- Monographs in Population Biology

Sommario/riassunto

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.