ArticleEcology and evolution2017
Predictions of response to temperature are contingent on model choice and data quality.
Article in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Explaining the universality of biological thermal responses.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A flexible model for thermal performance curves.Ecology · 2026Article
- Warm-Loving Species Perform Well Under Limiting Resources: Trait Combinations for Future Climate.Global change biology · 2025Article
- Microclimatic changes caused by plant invasions and warming: uncovering thermal costs and benefits to a tortoise.Conservation physiology · 2025Article
- No universal mathematical model for thermal performance curves across traits and taxonomic groups.Nature communications · 2024Article
- Patterns of thermal adaptation in a globally distributed plant pathogen: Local diversity and plasticity reveal two-tier dynamics.Ecology and evolution · 2022Article
- Article
- High predictability of direct competition between marine diatoms under different temperatures and nutrient states.Ecology and evolution · 2020Article
- Avian influenza virus prevalence in marine birds is dependent on ocean temperatures.Ecological applications : a publication of the Ecological Society of America · 2020Article
- Phenotyping Thermal Responses of Yeasts and Yeast-like Microorganisms at the Individual and Population Levels: Proof-of-Concept, Development and Application of an Experimental Framework to a Plant Pathogen.Microbial ecology · 2019Article
- Predictions of response to temperature are contingent on model choice and data quality.Ecology and evolution · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The equations used to account for the temperature dependence of biological processes, including growth and metabolic rates, are the foundations of our predictions of how global biogeochemistry and biogeography change in response to global climate change. We review and test the use of 12 equations used to model the temperature dependence of biological processes across the full range of their temperature response, including supra- and suboptimal temperatures. We focus on fitting these equations to thermal response curves for phytoplankton growth but also tested the equations on a variety of traits across a wide diversity of organisms. We found that many of the surveyed equations have comparable abilities to fit data and equally high requirements for data quality (number of test temperatures and range of response captured) but lead to different estimates of cardinal temperatures and of the biological rates at these temperatures. When these rate estimates are used for biogeographic predictions, differences between the estimates of even the best-fitting models can exceed the global biological change predicted for a decade of global warming. As a result, studies of the biological response to global changes in temperature must make careful consideration of model selection and of the quality of the data used for parametrizing these models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.