A1 Journal article (refereed)
Measuring phenotypes in fluctuating environments (2020)

Burton, T., Lakka, H., & Einum, S. (2020). Measuring phenotypes in fluctuating environments. Functional Ecology, 34(3), 606-615. https://doi.org/10.1111/1365-2435.13501

JYU authors or editors

Publication details

All authors or editors: Burton, Tim; Lakka, Hanna‐Kaisa; Einum, Sigurd

Journal or series: Functional Ecology

ISSN: 0269-8463

eISSN: 1365-2435

Publication year: 2020

Volume: 34

Issue number: 3

Pages range: 606-615

Publisher: Wiley-Blackwell

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1111/1365-2435.13501

Research data link: https://doi.org/10.5061/dryad.3xsj3txbg

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/66729


Despite considerable theoretical interest in how the evolution of phenotypic plasticity should be shaped by environmental variability and stochasticity, how individuals actually respond to these aspects of the environment within their own lifetimes remains unclear.
We propose that this understanding has been hampered by experimental approaches that expose organisms to fluctuating environments (typically treatments where fluctuations in the environment are cyclical vs. erratic) for a pre‐determined duration, while ensuring that the mean environment over that the entire exposure period is invariable. This approach implicitly assumes that responses to the mean and variance/predictability in the environment occur over the same time scale. If this assumption is false, one potential outcome is that phenotypic differences among the treatment groups might arise in response to differences in the mean environment that are present over shorter time periods among those same treatment groups.
We illustrate an experimental design that (i) creates variation in the level of environmental predictability, (ii) allows for estimation of the time scale over which the phenotypic response to the mean environment occurs, and (iii) permits statistical estimation of the effect of predictability in the environmental variable of interest while controlling for any effect of the mean environment over the relevant temporal scale.
Using the clonally reproducing zooplankton species Daphnia magna, we test for within‐generation plasticity in the ability to tolerate high temperature following exposure to multiple temperature treatments with the same overall mean, but where the pattern of fluctuations differed among them. This approach revealed that heat tolerance in Daphnia was not influenced by variability in temperature per se nor the predictability of fluctuations in temperature but adjusted in response to the mean temperature they experienced 24 hr prior to measurement.
Our results suggest that conclusions arising from studies that employ a single manipulation of environmental predictability and which cannot consider such potentially confounding effects may be premature.

Keywords: phenotype; heat resistance; environmental changes; temperature; variation; Cladocera

Free keywords: thermal tolerance; heat tolerance; reversible plasticity; unpredictable environments; bet-hedging; insurance

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 2

Last updated on 2022-20-09 at 16:00