ArticlePeerJ2018
Use and misuse of temperature normalisation in meta-analyses of thermal responses of biological traits.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Squeaking in fourth-generation ceramic-on-ceramic total hip replacement and the relationship with prosthesis brands: meta-analysis and systematic review.Journal of orthopaedic surgery and research · 2018Pooled it
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- Global Warming and the Spread of the Introduced Jellyfish Cassiopea andromeda: Thermal Niche and Habitat Suitability in the Mediterranean Sea.Global change biology · 2025Article
- Thermal extremes likely trigger metabolic imbalance in coral holobionts.Scientific reports · 2025Article
- Plant traits and associated ecological data from global change experiments and climate gradients in Norway.Scientific data · 2025Article
- Constraints in temperature adaptation reinforce differences in thermal niche between mesophilic and psychrotolerantProceedings. Biological sciences · 2025Article
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- Divergence of discrete- versus continuous-time calculations of the temperature dependence of maximum population growth rate.Research square · 2024Article
- No universal mathematical model for thermal performance curves across traits and taxonomic groups.Nature communications · 2024Article
- Variation in thermal physiology can drive the temperature-dependence of microbial community richness.eLife · 2024Article
- Metabolic plasticity drives mismatches in physiological traits between prey and predator.Communications biology · 2024Article
- Predicting movement speed of beetles from body size and temperature.Movement ecology · 2023Article
- Mitochondria and the thermal limits of ectotherms.The Journal of experimental biology · 2020Review
- Adaptive evolution shapes the present-day distribution of the thermal sensitivity of population growth rate.PLoS biology · 2020Article
- Phytoplankton thermal responses adapt in the absence of hard thermodynamic constraints.Evolution; international journal of organic evolution · 2020Article
- Role of carbon allocation efficiency in the temperature dependence of autotroph growth rates.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is currently unprecedented interest in quantifying variation in thermal physiology among organisms, especially in order to understand and predict the biological impacts of climate change. A key parameter in this quantification of thermal physiology is the performance or value of a rate, across individuals or species, at a common temperature (temperature normalisation). An increasingly popular model for fitting thermal performance curves to data-the Sharpe-Schoolfield equation-can yield strongly inflated estimates of temperature-normalised rate values. These deviations occur whenever a key thermodynamic assumption of the model is violated, i.e., when the enzyme governing the performance of the rate is not fully functional at the chosen reference temperature. Using data on 1,758 thermal performance curves across a wide range of species, we identify the conditions that exacerbate this inflation. We then demonstrate that these biases can compromise tests to detect metabolic cold adaptation, which requires comparison of fitness or rate performance of different species or genotypes at some fixed low temperature. Finally, we suggest alternative methods for obtaining unbiased estimates of temperature-normalised rate values for meta-analyses of thermal performance across species in climate change impact studies.
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Registered trials
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