4.5 Article

Maximum thermal tolerance trades off with chronic tolerance of high temperature in contrasting thermal populations of Radix balthica

期刊

ECOLOGY AND EVOLUTION
卷 7, 期 9, 页码 3149-3156

出版社

WILEY
DOI: 10.1002/ece3.2923

关键词

acute thermal stress; chronic thermal stress; critical thermal maximum; gastropods; gene flow; geothermal spring; Lake Myvatn; preferred temperature; thermal adaptation

资金

  1. Swedish Research Council [621-2010-5435]
  2. Stiftelsen for Zoologisk Forskning

向作者/读者索取更多资源

Thermal adaptation theory predicts that thermal specialists evolve in environments with low temporal and high spatial thermal variation, whereas thermal generalists are favored in environments with high temporal and low spatial variation. The thermal environment of many organisms is predicted to change with globally increasing temperatures and thermal specialists are presumably at higher risk than thermal generalists. Here we investigated critical thermal maximum (CTmax) and preferred temperature (T-p) in populations of the common pond snail (Radix balthica) originating from a small-scale system of geothermal springs in northern Iceland, where stable cold (ca. 7 degrees C) and warm (ca. 23 degrees C) habitats are connected with habitats following the seasonal thermal variation. Irrespective of thermal origin, we found a common T-p for all populations, corresponding to the common temperature optimum (T-opt) for fitness-related traits in these populations. Warm-origin snails had lowest CTmax. As our previous studies have found higher chronic temperature tolerance in the warm populations, we suggest that there is a trade-off between high temperature tolerance and performance in other fitness components, including tolerance to chronic thermal stress. T-p and CTmax were positively correlated in warm-origin snails, suggesting a need to maintain a minimum warming tolerance (difference in CTmax and habitat temperature) in warm environments. Our results highlight the importance of high mean temperature in shaping thermal performance curves.

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