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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/13060 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/13060 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/13060 archive 351 disk0/00/00/80/61 2016-01-15 08:39:04 2021-08-27 17:19:40 2016-01-15 08:39:04 monograph show 3 Dieckmann U. 1668 0000-0001-7089-0393 Heino M. 7602 0000-0003-2928-3940 Parvinen K. 7727 0000-0001-9125-6041 pub iis_ecl prog_eep This study extends the framework of adaptive dynamics to function-valued traits. Such adaptive traits naturally arise in a great variety of settings: variable or heterogeneous environments, age-structured populations, phenotypic plasticity, patterns of growth and form, resource gradients, and in many other areas of evolutionary ecology. Adaptive dynamics theory allows analyzing the long-term evolution of such traits under the density-dependent and frequency-dependent selection pressures resulting from feedback between evolving populations and their ecological environment. Starting from individual-based considerations, we derive equations describing the expected dynamics of a function-valued trait in asexually reproducing populations under mutation-limited evolution, thus generalizing the canonical equation of adaptive dynamics to function-valued traits. We explain in detail how to account for various kinds of evolutionary constraints on the adaptive dynamics of function-valued traits. To illustrate the utility of our approach, we present applications to two specific examples that address, respectively, the evolution of metabolic investment strategies along resource gradients, and the evolution of seasonal flowering schedules in temporally varying environments. 2006-09 published IR-06-036 IR-06-036 66 122 2852 public interim_report IIASA, Laxenburg, Austria 45 FALSE info:eu-repo/semantics/book