Titlebook: Adaptation in Stochastic Environments; Jin Yoshimura,Colib W. Clark Conference proceedings 1993 Springer-Verlag Berlin Heidelberg 1993 Fit

intention

https://doi.org/10.1007/3-540-29931-9neity. In this paper we show how differences in life history enhance coexistence in stochastic environments. In . species, as in many other taxa, the developmental period is proportional to adult survival. A short developmental period, i.e. a high developmental rate, enhances the competitive ability

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Adaptation in Stochastic Environments978-3-642-51483-8Series ISSN 0341-633X Series E-ISSN 2196-9981

coagulation

Jaewon Park,Sunja Kim,Jianrong Li,Arum Hansic fitness maximization principle underlies much of the modern evolutionary theory of adaptation (Fisher 1930, Williams 1966, Maynard Smith 1978). Criticism of the hypothesis of fitness maximization has, however, also been widespread (e.g. Dupré 1987).

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记忆法

978-3-540-56681-6Springer-Verlag Berlin Heidelberg 1993

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Saijilafu,Bo-Yin Zhang,Feng-Quan Zhoue rare strategy) may be mediated by a sufficiently strong fluctuation, which is illustrated by a simple model elucidating the connection with resource-competition models. Moreover, some other consequences of strong fluctuation are demonstrated by the example of a lottery model, such as multiple ESS,

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Materials and Methods: Experimental Sets,nk & Slatkin 1990, Yoshimura & Clark 1991). This outcome is valid only in populations without age structure or density dependence since the presence of these factors would complicate the analysis (Caswell 1983, Buhner 1984, 1985; Elmer 1985a, 1985b; Goodman 1984, Tuljapurkar 1982, 1989). The second

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