Male fertility thermal limits predict vulnerability to climate warming
Belinda van Heerwaarden; Carla M. Sgrò · 2021 · Nature Communications
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Forecasting which species/ecosystems are most vulnerable to climate warming is essential to guide conservation strategies to minimize extinction. Tropical/mid-latitude species are predicted to be most at risk as they live close to their upper critical thermal limits (CTLs). However, these assessments assume that upper CTL estimates, such as CTmax, are accurate predictors of vulnerability and ignore the potential for evolution to ameliorate temperature increases. Here, we use experimental evolution to assess extinction risk and adaptation in tropical and widespread Drosophila species. We find t
Abstract by Belinda van Heerwaarden; Carla M. Sgrò, Nature Communications (2021) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41467-021-22546-w