ArticleEcology2024
Predicting the fundamental thermal niche of ectotherms.
Article in Ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Mosquito population dynamics are shaped by interactions among larval density, temperature, and relative humidity.Ecology · 2026Article
- Global venomous snake redistribution and snakebite risk under climate change.Current zoology · 2026Article
- General Predictions for the Effects of Warming on Competition.Ecology letters · 2026Article
- Article
- Global Warming and the Spread of the Introduced Jellyfish Cassiopea andromeda: Thermal Niche and Habitat Suitability in the Mediterranean Sea.Global change biology · 2025Article
- Nutrient storage links past thermal exposure to current performance in phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Population variability across geographical ranges: perspectives and challenges.Proceedings. Biological sciences · 2025Review
- Predicting the fundamental thermal niche of ectotherms.Ecology · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Climate warming is predicted to increase mean temperatures and thermal extremes on a global scale. Because their body temperature depends on the environmental temperature, ectotherms bear the full brunt of climate warming. Predicting the impact of climate warming on ectotherm diversity and distributions requires a framework that can translate temperature effects on ectotherm life-history traits into population- and community-level outcomes. Here we present a mechanistic theoretical framework that can predict the fundamental thermal niche and climate envelope of ectotherm species based on how temperature affects the underlying life-history traits. The advantage of this framework is twofold. First, it can translate temperature effects on the phenotypic traits of individual organisms to population-level patterns observed in nature. Second, it can predict thermal niches and climate envelopes based solely on trait response data and, hence, completely independently of any population-level information. We find that the temperature at which the intrinsic growth rate is maximized exceeds the temperature at which abundance is maximized under density-dependent growth. As a result, the temperature at which a species will increase the fastest when rare is lower than the temperature at which it will recover from a perturbation the fastest when abundant. We test model predictions using data from a naturalized-invasive interaction to identify the temperatures at which the invasive can most easily invade the naturalized's habitat and the naturalized is most likely to resist the invasive. The framework is sufficiently mechanistic to yield reliable predictions for individual species and sufficiently broad to apply across a range of ectothermic taxa. This ability to predict the thermal niche before a species encounters a new thermal environment is essential to mitigating some of the major effects of climate change on ectotherm populations around the globe.
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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.