Abstract
Turnover in species composition often lags behind the pace of climate change, resulting in mismatches between climate and communities. However, the impact of these community-climate disequilibria on ecosystem functions is rarely considered, and current methods for measuring disequilibria assume that species ranges were, until recently, in equilibrium with climate. Here, we develop a simple theoretical model to address both of these problems by linking community-climate disequilibrium with ecosystem functioning. We show how disequilibrium can impair functioning in the near-term even when climate change is expected to enhance functioning in the long-term. Responses are most likely to change over time in communities where turnover is slow, the impact of disequilibrium counteracts the direct effects of climate on ecosystem function, and pre-existing disequilibrium is large. These findings emphasise the importance of precise and unbiased estimates of community-climate disequilibria for improving ecological forecasts. By fitting our model to time series of both climate and ecosystem function from a metacommunity simulation, we show the potential for community-climate disequilibrium to be inferred without direct knowledge about species' distributions or climatic tolerances. We end by outlining a research agenda to apply dynamic disequilibrium concepts and test novel hypotheses across diverse ecosystems.
| Original language | English |
|---|---|
| Article number | e70314 |
| Journal | Ecology Letters |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2026 |
Funding
This work was funded by NSF BoCP grant 204754. We thank Benjamin Wong Blonder, Giles Hooker, Michael Paterson, Annie Schiffer, Megan Vahsen and Claire Zarakas for providing helpful advice at earlier stages of this work. 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-AC05-1008 00OR22725. This work was funded by NSF BoCP grant 204754. We thank Benjamin Wong Blonder, Giles Hooker, Michael Paterson, Annie Schiffer, Megan Vahsen and Claire Zarakas for providing helpful advice at earlier stages of this work. 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‐AC05‐1008 00OR22725.
Keywords
- climate change
- community climate niche
- community turnover
- ecological acclimation
- lags
- nonstationary
- species composition
- timescale
- transient dynamics