1.

Record Nr.

UNINA9910452412303321

Autore

Turchin Peter <1957->

Titolo

Complex population dynamics [[electronic resource] ] : a theoretical/empirical synthesis / / Peter Turchin

Pubbl/distr/stampa

Princeton, N.J., : Princeton University Press, c2003

ISBN

1-4008-4728-1

1-299-13326-6

Edizione

[Course Book]

Descrizione fisica

1 online resource (471 p.)

Collana

Monographs in Population Biology ; ; 35

Monographs in population biology ; ; 35

Classificazione

WI 2100

Disciplina

577.8/8

Soggetti

Population biology

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

pt. 1. Theory -- pt. 2. Data -- pt. 3. Case studies.

Sommario/riassunto

Why do organisms become extremely abundant one year and then seem to disappear a few years later? Why do population outbreaks in particular species happen more or less regularly in certain locations, but only irregularly (or never at all) in other locations? Complex population dynamics have fascinated biologists for decades. By bringing together mathematical models, statistical analyses, and field experiments, this book offers a comprehensive new synthesis of the theory of population oscillations. Peter Turchin first reviews the conceptual tools that ecologists use to investigate population oscillations, introducing population modeling and the statistical analysis of time series data. He then provides an in-depth discussion of several case studies--including the larch budmoth, southern pine beetle, red grouse, voles and lemmings, snowshoe hare, and ungulates--to develop a new analysis of the mechanisms that drive population oscillations in nature. Through such work, the author argues, ecologists can develop general laws of population dynamics that will help turn ecology into a truly quantitative and predictive science. Complex Population Dynamics integrates theoretical and empirical studies into a major new synthesis of current knowledge



about population dynamics. It is also a pioneering work that sets the course for ecology's future as a predictive science.

2.

Record Nr.

UNINA9910891334503321

Titolo

American journal of computational mathematics

Pubbl/distr/stampa

Irvine, CA, : Scientic Research Pub

ISSN

2161-1211

Disciplina

511

Soggetti

Numerical analysis

Mathematical analysis

Computer algorithms

Science - Mathematics

Science - Mathematical models

Periodicals.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

Note generali

Refereed/Peer-reviewed