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Robustness of life histories to environmental variability in complex versus simple life cycles
University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment. (Ekologisk modellering, Ecological Modeling)ORCID iD: 0000-0002-3965-7371
2021 (English)In: Theoretical Ecology, ISSN 1874-1738, E-ISSN 1874-1746, Vol. 14, no 2, p. 335-344Article in journal (Refereed) Published
Abstract [en]

Most animal species have a complex life cycle (CLC) with metamorphosis. It is thus of interest to examine possible benefits of such life histories. The prevailing view is that CLC represents an adaptation for genetic decoupling of juvenile and adult traits, thereby allowing life stages to respond independently to different selective forces. Here I propose an additional potential advantage of CLCs that is, decreased variance in population growth rate due to habitat separation of life stages. Habitat separation of pre- and post-metamorphic stages means that the stages will experience different regimes of environmental variability. This is in contrast to species with simple life cycles (SLC) whose life stages often occupy one and the same habitat. The correlation in the fluctuations of the vital rates of life stages is therefore likely to be weaker in complex than in simple life cycles. By a theoretical framework using an analytical approach, I have (1) derived the relative advantage, in terms of long-run growth rate, of CLC over SLC phenotypes for a broad spectrum of life histories, and (2) explored which life histories that benefit most by a CLC, that is avoid correlation in vital rates between life stages. The direction and magnitude of gain depended on life history type and fluctuating vital rate. One implication of our study is that species with CLCs should, on average, be more robust to increased environmental variability caused by global warming than species with SLCs.

Place, publisher, year, edition, pages
Springer, 2021. Vol. 14, no 2, p. 335-344
Keywords [en]
Life histories, Population growth rate, Long-run growth rate, Environmental variability, Species life cycle, Discrete time model
National Category
Biological Sciences Ecology
Research subject
Ecological Modelling Group
Identifiers
URN: urn:nbn:se:his:diva-19444DOI: 10.1007/s12080-021-00501-1ISI: 000612877600001Scopus ID: 2-s2.0-85099928089OAI: oai:DiVA.org:his-19444DiVA, id: diva2:1524277
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CC BY 4.0

Available from: 2021-02-01 Created: 2021-02-01 Last updated: 2021-06-14Bibliographically approved

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Jonsson, Annie

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