Published November 21, 2022 | Version v1

Code supplement for "Evolutionary history mediates population response to rapid environmental change through within-generational and transgenerational plasticity"

  • 1. School of Biological Sciences, Washington State University
  • 2. Department of Evolution and Ecology, University of California, Davis
  • 3. Department of Mathematics and Statistics, University of Vermont
  • 4. Department of Psychology, University of Warwick
  • 5. Department of Environmental Science and Policy, University of California, Davis

Description

Rapid environmental change is affecting many organisms; some are coping well but many species are in decline. A key mechanism for facilitating success following environmental change is phenotypic plasticity. Organisms use cues to respond phenotypically to environmental conditions; many incorporate recent information (within-generation plasticity) and information from previous generations (transgenerational plasticity). We extend an existing evolutionary model where organisms utilize within-generational plasticity, transgenerational plasticity, and bet-hedging. We show how, when rapid evolution of plasticity is not possible, the effect of environmental change (altering the environment mean, variance, or autocorrelation, or cue reliability) on population growth rate depends on the population’s evolutionary history and past evolutionary responses to historical environmental conditions. We then evaluate the predictions that populations adapted to highly variable environments, or with greater within-generational plasticity, are more likely to successfully respond to environmental change. We identify when these predictions fail, and show environmental change is most detrimental when previously reliable cues become unreliable. When multiple cues become unreliable, environmental change can cause deleterious effects regardless of the population's evolutionary history. Overall, this work provides a general framework for understanding the role of plasticity in population responses to rapid environmental change.

Notes

This work was supported by the National Science Foundation (NSF) under Grant No. NSF DMS-1716803 to S. Schreiber and NSF IOS-1456724 to A. Sih. DTC was also partially supported by an NSF Graduate Research Fellowship (Grant No. 1650042) and a University of California - Davis Dean's Distinguish Graduate Fellowship. IPN was also partially supported by an NSF Graduate Research Fellowship (Grant No. 1650042). PCT was also partially funded by the German Research Foundation (DFG) as part of the SFB TRR 212 (NC3).

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