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Data from: Evolution of cold tolerance and thermal plasticity in life history, behaviour and physiology during a poleward range expansion

Citation

Carbonell, José Antonio; Wang, Ying-Jie; Stoks, Robby (2021), Data from: Evolution of cold tolerance and thermal plasticity in life history, behaviour and physiology during a poleward range expansion, Dryad, Dataset, https://doi.org/10.5061/dryad.0gb5mkm0t

Abstract

1. Many species that are moving polewards encounter novel thermal regimes to which they have to adapt. Therefore, rapid evolution of thermal tolerance and of thermal plasticity in fitness-related traits in edge populations can be crucial for the success and speed of range expansions.

2. We tested for adaptation in cold tolerance and in life history, behavioural and physiological traits and their thermal plasticity during a poleward range expansion.

3. We reconstructed the thermal performance curves of life history (survival, growth and development rates), behaviour (food intake) and cold tolerance (chill coma recovery time) in the aquatic larval stage of the damselfly Ischnura elegans that is currently showing a poleward range expansion in northern Europe. We studied larvae from three edge and three core populations using a common-garden experiment.

4. Consistent with the colder annual temperatures, larvae at the expansion front evolved an improve cold tolerance. The edge populations showed no overall (across temperatures) evolution of a faster life history that would improve their range-shifting ability. Moreover, consistent with damselfly edge populations from colder latitudes, edge populations evolved at the highest rearing temperature (28 °C) a faster development rate, likely to better exploit the rare periods with higher temperatures. This was associated with a higher food intake and a lower metabolic rate.

5. In conclusion, our results suggest that the edge populations rapidly evolved adaptive changes in trait means and thermal plasticity to the novel thermal conditions at the edge front. Our results highlight the importance of considering besides trait plasticity and the evolution of trait means, also the evolution of trait plasticity to improve forecasts of responses to climate change.

Methods

Dataset was collected from laboratory experiments. Dataset supplied is raw data.

Funding

Scientific Research Flanders (FWO), Award: G.0524.17N

Scientific Research Flanders (FWO), Award: G.0956.19N

KU Leuven, Award: C16/17/002

Scientific Research Flanders (FWO), Award: G.0524.17N