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Updated: May 3, 2026

Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions
Published on: March 9, 2021
Increased temperature variation poses a greater risk to species than climate warming
David A Vasseur1, John P DeLong, Benjamin Gilbert
1Department of Ecology and Evolutionary Biology, Yale University, , New Haven, CT 06511, USA, School of Biological Sciences, University of Nebraska Lincoln, , Lincoln, NE 68588, USA, Department of Ecology and Evolutionary Biology, University of Toronto, , Toronto, Ontario, Canada , M5S 3G5, School of Biological Sciences, University of Canterbury, , Christchurch, New Zealand, School of Biology and Ecology, University of Maine, , Orono, ME 04469, USA, Department of Zoology and Biodiversity Research Centre, University of British Columbia, , Vancouver, British Columbia, Canada , V6T 1Z4, Department of Integrative Biology, University of Guelph, , Guelph, Ontario, Canada , N1G 2W1, Department of Biomathematics, David Geffen School of Medicine at UCLA, , Los Angeles, CA 90095, USA, Santa Fe Institute, , Santa Fe, NM 87501, USA.
Abstract:
Increases in the frequency, severity and duration of temperature extremes are anticipated in the near future. Although recent work suggests that changes in temperature variation will have disproportionately greater effects on species than changes to the mean, much of climate change research in ecology has focused on the impacts of mean temperature change. Here, we couple fine-grained climate projections (2050-2059) to thermal performance data from 38 ectothermic invertebrate species and contrast projections with those of a simple model. We show that projections based on mean temperature change alone differ substantially from those incorporating changes to the variation, and to the mean and variation in concert. Although most species show increases in performance at greater mean temperatures, the effect of mean and variance change together yields a range of responses, with temperate species at greatest risk of performance declines. Our work highlights the importance of using fine-grained temporal data to incorporate the full extent of temperature variation when assessing and projecting performance.
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