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The evolutionary ecology of individual phenotypic plasticity in wild populations
Abstract
The ability of individual organisms to alter morphological and life‐history traits in response to the conditions they experience is an example of phenotypic plasticity which is fundamental to any population's ability to deal with short‐term environmental change. We currently know little about the prevalence, and evolutionary and ecological causes and consequences of variation in life history plasticity in the wild. Here we outline an analytical framework, utilizing the reaction norm concept and random regression statistical models, to assess the between‐individual variation in life history plasticity that may underlie population level responses to the environment at both phenotypic and genetic levels. We discuss applications of this framework to date in wild vertebrate populations, and illustrate how natural selection and ecological constraint may alter a population's response to the environment through their effects at the individual level. Finally, we present future directions and challenges for research into individual plasticity.
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Cites
A globally coherent fingerprint of climate change impacts across natural systems
Parmesan, C., & Yohe, G. (2003) · Nature · doi:10.1038/nature01286 · Cited by 11,265
Ecological responses to recent climate change.
Walther, G.-R., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee, T. J. C., Fromentin, J.-M., Hoegh-Guldberg, O., & Bairlein, F. (2002) · Nature · doi:10.1038/416389a · Cited by 9,975
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278
The measurement of selection on correlated characters
Lande, R., & Arnold, S. J. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb00236.x · Cited by 5,437
Climate change and population declines in a long-distance migratory bird
Both, C., Bouwhuis, S., Lessells, C. M., & Visser, M. E. (2006) · Nature · doi:10.1038/nature04539 · Cited by 1,461
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Simple means to improve the interpretability of regression coefficients
Schielzeth, H. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2010.00012.x · Cited by 3,027
Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists.
Nakagawa, S., & Schielzeth, H. (2010) · Biological Reviews · doi:10.1111/j.1469-185x.2010.00141.x · Cited by 2,584
Genetic erosion impedes adaptive responses to stressful environments
Bijlsma, R., & Loeschcke, V. (2012) · Evolutionary Applications · doi:10.1111/j.1752-4571.2011.00214.x · Cited by 345
Ellenberg, U., Mattern, T., & Seddon, P. J. (2009) · Animal Behaviour · doi:10.1016/j.anbehav.2008.09.021 · Cited by 128
Trends and management implications of human‐influenced life‐history changes in marine ectotherms
Audzijonyte, A., Fulton, E., Haddon, M., Helidoniotis, F., Hobday, A. J., Kuparinen, A., Morrongiello, J., Smith, A. D., Upston, J., & Waples, R. S. (2016) · Fish and Fisheries · doi:10.1111/faf.12156 · Cited by 106
Metadata
- Authors
- NUSSEY, D. H., WILSON, A. J., & BROMMER, J. E.
- Venue
- Journal of Evolutionary Biology
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-01-23
- Volume
- 20
- Issue
- 3
- Pages
- 831-844
- ISSN
- 1010-061X (ISSN-L)
- 1420-9101
- OpenAlex
- W2112782518
- Cited by
- 889
- References
- 5
- FWCI
- 35.97
- Type
- journal article
- Language
- en
- Open access
- closed
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