By Jin Yoshimura, Colin W. Clark
The classical concept of traditional choice, as constructed via Fisher, Haldane, and 'Wright, and their fans, is in a feeling a statistical concept. often the classical concept assumes that the underlying setting during which evolution transpires is either consistent and sturdy - the idea is during this feel deterministic. in fact, nonetheless, nature is nearly regularly altering and volatile. we don't but own an entire concept of common choice in stochastic environ ments. might be it's been concept that any such conception is unimportant, or that it might be too tough. Our personal view is that the time is now ripe for the advance of a probabilistic conception of common choice. the current quantity is an try to offer an common creation to this probabilistic conception. each one writer was once requested to con tribute an easy, uncomplicated creation to his or her forte, together with vigorous discussions and hypothesis. we are hoping that the e-book contributes additional to the certainty of the jobs of "Chance and Necessity" (Monod 1971) as built-in elements of variation in nature.
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Additional info for Adaptation in Stochastic Environments
Nat. 126:63-71. Chesson, P. 1985. Coexistence of competitors in spatially and temporally varying environments: a look at the combined effects of different sorts of variability, Theoret. Pop. Bioi. 28:263287. W. and J. Yoshimura. 1993. Optimization and ESS analysis for populations in stochastic environments. (This volume). Cohen, D. 1966. Optimising reproduction in a randomly varying environment, J. Theoret. Bioi. 12:119-129. Cohen, D. 1967. Optimising reproduction in a randomly varying environment when a correlation may exist between the conditions at the time a choice has to be made and the subsequent outcome, J.
G. spread of one strategy may increase, while spread of another may decrease the variance in density. g. increased variance may be advantageous for a particular strategy, disadvantageous for another one. All of the conditions (i)-(iii) are violated, since growth rates depend on more than one parameter, not in a uniform way, and different strategies have different effects on the relevant parameters of density distribution. Dependence of growth rates on several parameters instead of a single one is analogous to the case of several limiting resources.
BioI. 51:3-47. C. 1992. The evolution of life histories. Oxford University Press. D. 1989. An uncertain life: demography in random environments, Theoret. Pop. Biol. 35:227-294. Yoshimura, J. W. Clark. 1991. Individual adaptations in stochastic envirnments, Evol. Ecol. 5:173-192. 6) DENSITY DEPENDENT LIFE HISTORY EVOLUTION IN FLUCTUATING ENVIRONMENTS Eva Kisdi Population Biology Group Department of Genetics, Eotvos University Budapest, Muzeum krt. 4/ A, Hungary, H-I088 and Geza Meszena Population Biology Group Department of Atomic Physics, Eotvos University Budapest, Puskin u.
Adaptation in Stochastic Environments by Jin Yoshimura, Colin W. Clark