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来源类型Article
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DOI10.1007/s00285-015-0938-4
The canonical equation of adaptive dynamics for life histories: from fitness-returns to selection gradients and Pontryagin's maximum principle.
Metz JAJ; Stankova K; Johansson J
发表日期2016
出处Journal of Mathematical Biology 72 (4): 1125-1152
出版年2016
语种英语
摘要This paper should be read as addendum to Dieckmann et al. (J Theor Biol 241:370.389, 2006) and Parvinen et al. (J Math Biol 67:509-533, 2013) Our goal is, using little more than high-school calculus, to (1) exhibit the form of the canonical equation of adaptive dynamics for classical life history problems, where the examples in Dieckmann et al. (J Theor Biol 24:370.389, 2006) and Parvinen et al. (J Math Biol 67: 509.533, 2013) are chosen such that they avoid a number of the problems that one gets in this most relevant of applications, (2) derive the fitness gradient occurring in the CE from simple fitness return argument, (3) show explicitly that setting said fitness gradient equal to zero results in the classical marginal value principle from evolutionary ecology, (4) show that the latter in turn is equivalent to Pontryagin's maximum principle, a well known equivalence that however in the literature is given either ex cathedra or is proven with more advanced tools, (5) connect the classical optimisation arguments of life history theory a little better to real biology (Mendelian populations with separate sexes subject to an environmental feedback loop), (6) make a minor improvement to the form of the CE for the examples in Dieckmann et al. and Parvinen et al.
主题Evolution and Ecology (EEP)
关键词age-dependent resource allocation canonical equation of adaptive dynamics evolution in periodic envronments function valued traits Mendelian take on life history theory Pontryagin's maximum principle
URLhttp://pure.iiasa.ac.at/id/eprint/11276/
来源智库International Institute for Applied Systems Analysis (Austria)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/130693
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Metz JAJ,Stankova K,Johansson J. The canonical equation of adaptive dynamics for life histories: from fitness-returns to selection gradients and Pontryagin's maximum principle.. 2016.
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