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Nonlinear averaging of thermal experience predicts population growth rates in a thermally variable environment
As thermal regimes change worldwide, projections of future population and species persistence often require estimates of how population growth rates depend on temperature. These projections rarely account for how temporal variation in temperature can systematically modify growth rates relative to pr...
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| Опубликовано в: : | Proc Biol Sci |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
The Royal Society
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6158538/ https://ncbi.nlm.nih.gov/pubmed/30209223 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspb.2018.1076 |
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