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Data from : Environmental predictability drives adaptive within- and transgenerational plasticity of heat tolerance across life stages and climatic regions

Cite this dataset

Díaz, Fernando et al. (2020). Data from : Environmental predictability drives adaptive within- and transgenerational plasticity of heat tolerance across life stages and climatic regions [Dataset]. Dryad.


Although environmental variability and predictability have been proposed as the underlying ecological context in which transgenerational plasticity (TGP) arises, the adaptive significance and interaction with within-generation plasticity (WGP) in such scenarios is still poorly understood. In order to investigate these questions, we considered the tolerance to upper thermal limits of larvae and adults of the desert endemic Drosophila mojavensis adapted to different climatic regions (Desert vs Mediterranean climate). Thermal plasticity was investigated by acclimating parents and offspring at 36°C (versus at 25°C). We then used historical temperature variation data from both regions to perform individual-based simulations by modeling expected components of adaptive plasticity in multiple life stages. Thermal response to ramping heat shocks was more pronounced in larvae, where acclimation treatments in parents and offspring increased their heat-shock performance, while heat knockdown in adults was only increased by offspring acclimation of adults. The relative contribution of WGP and TGP was greater for the population from the more thermally variable Sonoran Desert. Similarly, individual-based simulations of evolving maternal effects indicated that variation in tolerance to upper thermal limits across life stages and climates is expected from its adaptive significance in response to environmental predictability. Our approach offers a new perspective and interpretation of adaptive plasticity, demonstrating that environmental predictability can drive thermal responses across generations and life stages in a scenario with regional climate variability.


The methods for this dataset can be found in the asociated scientific article.

Usage notes

The data is divided in three excel sheets, one for each type of response variable:


Viability: For data on larval viability in response to heat treatments

Development time: For data on developmental time in response to heat treatments

Knockdown: Data on the heat knockdown time as a response to heat treatments


Headers of factor columns:

population: The population sampled

heat-shock_period: Time used for heat shocks in hours

temp_parents: acclimation performed in parents in Celsius

temp_acclimation_larva: acclimation performed in F1 larva in Celsius

temp_acclimation_adult: acclimation performed in F1 adults in Celsius

sex: sex of adult flies


Headers of response variables:

larva-pupa_viability: larva-to-pupa viability

larva-adult_viability: larva-to-adult viability

larva-pupa_std_viability: larva-to-adult standardized viability

larva-adult_std_viability: larva-to-adult-standardized viability

larva-pupa_dev: larva-to-pupa development time in days

larva-adult_dev: larva-to-adult development time in days

pupa-adult_dev: pupa-to-adult development time in days

knockdown_time: Heat knockdown time in minutes


National Academy of Sciences, Award: IOS-1557697