The ecological relevance of critical thermal maxima methodology for fishes

Author:

Desforges Jessica E.1ORCID,Birnie‐Gauvin Kim23,Jutfelt Fredrik4,Gilmour Kathleen M.5,Eliason Erika J.3,Dressler Terra L.3,McKenzie David J.6,Bates Amanda E.7,Lawrence Michael J.8,Fangue Nann9,Cooke Steven J.1

Affiliation:

1. Department of Biology and Institute of Environmental and Interdisciplinary Science Carleton University Ottawa Ontario Canada

2. Department of Ecology, Evolution & Marine Biology University of California Santa Barbara Santa Barbara California USA

3. Section for Freshwater Fisheries and Ecology, National Institute of Aquatic Resources Technical University of Denmark Silkeborg Denmark

4. Department of Biology Norwegian University of Science and Technology Trondheim Norway

5. Department of Biology University of Ottawa Ottawa Ontario Canada

6. MARBEC Université Montpellier Montpellier France

7. Department of Biology University of Victoria Victoria British Columbia Canada

8. Department of Biological Sciences University of Manitoba Winnipeg Manitoba Canada

9. Department of Wildlife, Fish, and Conservation Biology University of California Davis Davis California USA

Abstract

AbstractCritical thermal maxima methodology (CTM) has been used to infer acute upper thermal tolerance in fishes since the 1950s, yet its ecological relevance remains debated. In this study, the authors synthesize evidence to identify methodological concerns and common misconceptions that have limited the interpretation of critical thermal maximum (CTmax; value for an individual fish during one trial) in ecological and evolutionary studies of fishes. They identified limitations of, and opportunities for, using CTmax as a metric in experiments, focusing on rates of thermal ramping, acclimation regimes, thermal safety margins, methodological endpoints, links to performance traits and repeatability. Care must be taken when interpreting CTM in ecological contexts, because the protocol was originally designed for ecotoxicological research with standardized methods to facilitate comparisons within study individuals, across species and contexts. CTM can, however, be used in ecological contexts to predict impacts of environmental warming, but only if parameters influencing thermal limits, such as acclimation temperature or rate of thermal ramping, are taken into account. Applications can include mitigating the effects of climate change, informing infrastructure planning or modelling species distribution, adaptation and/or performance in response to climate‐related temperature change. The authors’ synthesis points to several key directions for future research that will further aid the application and interpretation of CTM data in ecological contexts.

Publisher

Wiley

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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