Literature DB >> 1421771

An analysis of life history evolution in terms of the density-dependent Lefkovitch matrix model.

T Takada1, H Nakajima.   

Abstract

The evolution of demographic characteristics is considered in terms of the density-dependent Lefkovitch matrix model, which describes a species' population dynamics with a stage-specific pattern of reproduction and mortality. We obtain the invadability condition of a mutant-type into the wild-type population at the equilibrium state. The condition depends on the left and right eigenvectors at the equilibrium state. The condition depends on the left and right eigenvectors at the equilibrium state and the difference, between wild-type and mutant-type populations, of the values of elements in the Lefkovitch matrix at the equilibrium state. It is also shown that if elements of the density-dependent Lefkovitch matrix are decreasing functions of population density, then the equilibrium population density increases in the process of natural selection; that is, K-selection acts even on the stage-structured population. The evolution of life history in perennial plants is discussed through two models as an application of the above results. The evolution of perennial plants with no vegetative reproduction is analyzed in the first example. It is shown that whether monocarpic perennials (which reproduce once and die) or polycarpic perennial plants (which reproduce more than once) are favored depends on the cost of a produced seed. The second example concerns perennial plants that reproduce vegetatively. It is shown that whether monocarpic or polycarpic perennial plants are favored depends on the cost of a seed and that where vegetative reproduction is common, polycarpic perennials with no seed reproduction are favored.

Mesh:

Year:  1992        PMID: 1421771     DOI: 10.1016/0025-5564(92)90091-a

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  4 in total

1.  What life cycle graphs can tell about the evolution of life histories.

Authors:  Claus Rueffler; Johan A J Metz; Tom J M Van Dooren
Journal:  J Math Biol       Date:  2012-02-05       Impact factor: 2.259

2.  Density-dependence interacts with extrinsic mortality in shaping life histories.

Authors:  Maciej Jan Dańko; Oskar Burger; Jan Kozłowski
Journal:  PLoS One       Date:  2017-10-19       Impact factor: 3.240

3.  Demographic analysis of continuous-time life-history models.

Authors:  André M De Roos
Journal:  Ecol Lett       Date:  2007-11-29       Impact factor: 9.492

4.  Selection in two-sex stage-structured populations: Genetics, demography, and polymorphism.

Authors:  Charlotte de Vries; Hal Caswell
Journal:  Theor Popul Biol       Date:  2019-08-01       Impact factor: 1.570

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.