Ecological acclimation: A framework to integrate fast and slow responses to climate change

Michael Stemkovski, Joey R. Bernhardt, Benjamin Wong Blonder, John B. Bradford, Kyra Clark-Wolf, Laura E. Dee, Margaret E.K. Evans, Virginia Iglesias, Loretta C. Johnson, Abigail J. Lynch, Sparkle L. Malone, Brooke B. Osborne, Melissa A. Pastore, Michael Paterson, Malin L. Pinsky, Christine R. Rollinson, Oliver Selmoni, Jason J. Venkiteswaran, Anthony P. Walker, Nicole K. WardJohn W. Williams, Claire M. Zarakas, Peter B. Adler

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Ecological responses to climate change occur across vastly different time-scales, from minutes for physiological plasticity to decades or centuries for community turnover and evolutionary adaptation. Accurately predicting the range of ecosystem trajectories will require models that incorporate both fast processes that may keep pace with climate change and slower ones likely to lag behind and generate disequilibrium dynamics. However, the knowledge necessary for this integration is currently fragmented across disciplines. We develop ‘ecological acclimation’ as a unifying framework to emphasize the similarity of dynamics driven by processes operating on dramatically different time-scales and levels of biological organization. The framework focuses on ecoclimate sensitivities, measured as the change in an ecological response variable per unit of climate change. Acclimation processes acting at different time-scales cause these sensitivities to shift in magnitude and even direction over time. We highlight shifting ecoclimate sensitivities in case studies from diverse ecosystems, including terrestrial plant communities, coral reefs and soil microbiomes. Models predicting future ecosystem states inevitably make assumptions about acclimation processes; these assumptions must be explicit for users to evaluate whether a model is appropriate for a given forecast horizon. Similarly, decision frameworks that clearly account for multiple acclimation processes and their distinct time-scales will help natural resource managers plan for ecological impacts of climate change from years to many decades into the future. We outline a synthetic research programme focused on the time-scales of ecological acclimation to reduce uncertainty in ecological forecasts. Read the free Plain Language Summary for this article on the Journal blog.

Original languageEnglish
Pages (from-to)1923-1939
Number of pages17
JournalFunctional Ecology
Volume39
Issue number8
DOIs
StatePublished - Aug 2025

Funding

This work was funded by NSF BoCP grant number 204754. We thank Nicolas Matallana, Annie Schiffer, Megan Vahsen and Shelley Crausbay for providing helpful reviews of an earlier draft of this paper. The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA or U.S. Government determination or policy. Any use of trade, firm or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. ORNL is managed by UT-Battelle, LLC, for the DOE under contract DE-AC05-100800OR22725. This research was supported by the Utah Agricultural Experiment Station, Utah State University, and approved as journal paper number 9900. This work was funded by NSF BoCP grant number 204754. We thank Nicolas Matallana, Annie Schiffer, Megan Vahsen and Shelley Crausbay for providing helpful reviews of an earlier draft of this paper. The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA or U.S. Government determination or policy. Any use of trade, firm or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. ORNL is managed by UT‐Battelle, LLC, for the DOE under contract DE‐AC05‐100800OR22725. This research was supported by the Utah Agricultural Experiment Station, Utah State University, and approved as journal paper number 9900.

Keywords

  • climate adaptation
  • disequilibrium
  • ecoclimate sensitivity
  • forecast horizon
  • lags
  • nonstationarity
  • time-scale
  • transient dynamics

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