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Linking critical thermal maximum to mortality from thermal stress in a cold-water frog.
Cicchino, Amanda S; Ghalambor, Cameron K; Funk, W Chris.
Afiliación
  • Cicchino AS; Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA.
  • Ghalambor CK; Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.
  • Funk WC; Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA.
Biol Lett ; 19(6): 20230106, 2023 06.
Article en En | MEDLINE | ID: mdl-37311548
Estimates of organismal thermal tolerance are frequently used to assess physiological risk from warming, yet the assumption that these estimates are predictive of mortality has been called into question. We tested this assumption in the cold-water-specialist frog, Ascaphus montanus. For seven populations, we used dynamic experimental assays to measure tadpole critical thermal maximum (CTmax) and measured mortality from chronic thermal stress for 3 days at different temperatures. We tested the relationship between previously estimated population CTmax and observed mortality, as well as the strength of CTmax as a predictor of mortality compared to local stream temperatures capturing varying timescales. Populations with higher CTmax experienced significantly less mortality in the warmest temperature treatment (25°C). We also found that population CTmax outperformed stream temperature metrics as the top predictor of observed mortality. These results demonstrate a clear link between CTmax and mortality from thermal stress, contributing evidence that CTmax is a relevant metric for physiological vulnerability assessments.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Anuros / Ríos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Biol Lett Asunto de la revista: BIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Anuros / Ríos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Biol Lett Asunto de la revista: BIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido