Population Dynamics Based on Individual Stochasticity

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

SpringerBriefs in Population Studies – Population Studies of Japan

ISBN: 9811935475
ISBN 13: 9789811935473
Autor: Oizumi, Ryo
Verlag: Springer Verlag GmbH
Umfang: x, 101 S., 8 s/w Illustr., 1 farbige Illustr., 101 p. 9 illus., 1 illus. in color.
Erscheinungsdatum: 18.09.2022
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert

Proposes that a diffusion process representing life history can govern population structure and its dynamicsDiscusses the roles of individual differences in population dynamics and evolution, Uses semelparity to aid in understanding the framework concerning adaptive reproduction timing and foraging strategies

Artikelnummer: 5609776 Kategorie:

Beschreibung

This book demonstrates that population structure and dynamics can be reconstructed by stochastic analysis. Population projection is usually based on age-structured population models. These models consist of age-dependent fertility and mortality, whereas birth and death processes generally arise from states of individuals. For example, a number of seeds are proportional to tree size, and amount of income and savings are the basis of decision making for birth behavior in human beings. Thus, even though individuals belong to an identical cohort, they have different fertility and mortality. To treat this kind of individual heterogeneity, stochastic state transitions are reasonable rather than the deterministic states. This book extends deterministic systems to stochastic systems specifically, constructing a state transition model represented by stochastic differential equations. The diffusion process generated by stochastic differential equations provides statistics determining population dynamics, i.e., heterogeneity is incorporated in population dynamics as its statistics. Applying this perspective to demography and evolutionary biology, we can consider the role of heterogeneity in life history or evolution. These concepts are provided to readers with explanations of stochastic analysis.

Autorenporträt

Ryo Oizumi, National Institute of Population and Social Security Research   

Herstellerkennzeichnung:


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