The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
The complex drivers of thermal acclimation and breadth in ectotherms
Abstract
Thermal acclimation capacity, the degree to which organisms can alter their optimal performance temperature and critical thermal limits with changing temperatures, reflects their ability to respond to temperature variability and thus might be important for coping with global climate change. Here, we combine simulation modelling with analysis of published data on thermal acclimation and breadth (range of temperatures over which organisms perform well) to develop a framework for predicting thermal plasticity across taxa, latitudes, body sizes, traits, habitats and methodological factors. Our synthesis includes > 2000 measures of acclimation capacities from > 500 species of ectotherms spanning fungi, invertebrates, and vertebrates from freshwater, marine and terrestrial habitats. We find that body size, latitude, and methodological factors often interact to shape acclimation responses and that acclimation rate scales negatively with body size, contributing to a general negative association between body size and thermal breadth across species. Additionally, we reveal that acclimation capacity increases with body size, increases with latitude (to mid‐latitudinal zones) and seasonality for smaller but not larger organisms, decreases with thermal safety margin (upper lethal temperature minus maximum environmental temperatures), and is regularly underestimated because of experimental artefacts. We then demonstrate that our framework can predict the contribution of acclimation plasticity to the IUCN threat status of amphibians globally, suggesting that phenotypic plasticity is already buffering some species from climate change.
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Cites
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models
Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356
Ecological and Evolutionary Responses to Recent Climate Change
Parmesan, C. (2006) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.37.091305.110100 · Cited by 8,652
TOWARD A METABOLIC THEORY OF ECOLOGY
Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M., & West, G. B. (2004) · Ecology · doi:10.1890/03-9000 · Cited by 7,779
Extinction risk from climate change
Thomas, C. D., Cameron, A., Green, R. E., Bakkenes, M., Beaumont, L. J., Collingham, Y. C., Erasmus, B. F. N., de Siqueira, M. F., Grainger, A., Hannah, L., et al. (2004) · Nature · doi:10.1038/nature02121 · Cited by 7,695
Impacts of climate warming on terrestrial ectotherms across latitude
Deutsch, C. A., Tewksbury, J. J., Huey, R. B., Sheldon, K. S., Ghalambor, C. K., Haak, D. C., & Martin, P. R. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709472105 · Cited by 3,840
Effects of Size and Temperature on Metabolic Rate
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., & Charnov, E. L. (2001) · Science · doi:10.1126/science.1061967 · Cited by 3,810
Angilletta Jr., M. J. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198570875.001.1 · Cited by 2,534
Accelerating extinction risk from climate change
Urban, M. C. (2015) · Science · doi:10.1126/science.aaa4984 · Cited by 2,436
Costs and limits of phenotypic plasticity
DeWitt, T. J., Sih, A., & Wilson, D. S. (1998) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(97)01274-3 · Cited by 2,282
(2009) · Cited by 1,999
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Thermal biology of mosquito‐borne disease
Mordecai, E. A., Caldwell, J. M., Grossman, M. K., Lippi, C. A., Johnson, L. R., Neira, M., Rohr, J. R., Ryan, S. J., Savage, V., Shocket, M. S., et al. (2019) · Ecology Letters · doi:10.1111/ele.13335 · Cited by 746
Self-citationThermal tolerance patterns across latitude and elevation
Sunday, J., Bennett, J. M., Calosi, P., Clusella-Trullas, S., Gravel, S., Hargreaves, A. L., Leiva, F. P., Verberk, W. C. E. P., Olalla-Tárraga, M. Á., & Morales-Castilla, I. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0036 · Cited by 367
Sinai, N., Glos, J., Mohan, A. V., Lyra, M. L., Riepe, M., Thöle, E., Zummach, C., & Ruthsatz, K. (2022) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2022.103233 · Cited by 45
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Metadata
- Authors
- Rohr, J. R., Civitello, D. J., Cohen, J. M., Roznik, E. A., Sinervo, B., & Dell, A. I.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2018-07-16
- Volume
- 21
- Issue
- 9
- Pages
- 1425-1439
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2884393210
- Cited by
- 293
- References
- 60
- FWCI
- 19.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rohr, J. R., Civitello, D. J., Cohen, J. M., Roznik, E. A., Sinervo, B., & Dell, A. I. (2018). The complex drivers of thermal acclimation and breadth in ectotherms. Ecology Letters. https://doi.org/10.1111/ele.13107
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