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Twelve fundamental life histories evolving through allocation-dependent fecundity and survival.
Johansson, Jacob; Brännström, Åke; Metz, Johan A J; Dieckmann, Ulf.
Afiliación
  • Johansson J; Evolution and Ecology Program International Institute for Applied Systems Analysis Laxenburg Austria.
  • Brännström Å; Department of Biology Theoretical Population Ecology and Evolution Group Lund University Lund Sweden.
  • Metz JAJ; Evolution and Ecology Program International Institute for Applied Systems Analysis Laxenburg Austria.
  • Dieckmann U; Department of Mathematics and Mathematical Statistics Umeå University Umeå Sweden.
Ecol Evol ; 8(6): 3172-3186, 2018 03.
Article en En | MEDLINE | ID: mdl-29607016
An organism's life history is closely interlinked with its allocation of energy between growth and reproduction at different life stages. Theoretical models have established that diminishing returns from reproductive investment promote strategies with simultaneous investment into growth and reproduction (indeterminate growth) over strategies with distinct phases of growth and reproduction (determinate growth). We extend this traditional, binary classification by showing that allocation-dependent fecundity and mortality rates allow for a large diversity of optimal allocation schedules. By analyzing a model of organisms that allocate energy between growth and reproduction, we find twelve types of optimal allocation schedules, differing qualitatively in how reproductive allocation increases with body mass. These twelve optimal allocation schedules include types with different combinations of continuous and discontinuous increase in reproduction allocation, in which phases of continuous increase can be decelerating or accelerating. We furthermore investigate how this variation influences growth curves and the expected maximum life span and body size. Our study thus reveals new links between eco-physiological constraints and life-history evolution and underscores how allocation-dependent fitness components may underlie biological diversity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2018 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2018 Tipo del documento: Article Pais de publicación: Reino Unido