DOI: 10.5061/dryad.stqjq2c22
title: Data from : Environmental predictability drives adaptive within- and transgenerational plasticity of heat tolerance across life stages and climatic regions

description: 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.
description: The methods for this dataset can be found in the asociated
 scientific article.
description: The data is divided in three excel sheets, one for each type of
 response variable:  
 <strong><em>Viability:</em> </strong>For
 data on larval viability in response to heat treatments
 <em><strong>Development time:</strong>
 </em>For data on developmental time in response to heat
 treatments
 <em><strong>Knockdown:</strong> </em>Data
 on the heat knockdown time as a response to heat treatments
   <em><strong>Headers of factor
 columns:</strong></em>
 <em>population</em>: The population sampled
 <em>heat-shock_period</em>: Time used for heat shocks
 in hours <em>temp_parents</em>: acclimation
 performed in parents in Celsius
 <em>temp_acclimation_larva</em>: acclimation
 performed in F1 larva in Celsius
 <em>temp_acclimation_adult</em>: acclimation
 performed in F1 adults in Celsius
 <em>sex</em>: sex of adult flies
   <em><strong>Headers of response
 variables:</strong></em>
 <em>larva-pupa_viability</em>: larva-to-pupa
 viability <em>larva-adult_viability</em>:
 larva-to-adult viability
 <em>larva-pupa_std_viability</em>: larva-to-adult
 standardized viability
 <em>larva-adult_std_viability</em>:
 larva-to-adult-standardized viability
 <em>larva-pupa_dev</em>: larva-to-pupa development
 time in days <em>larva-adult_dev</em>:
 larva-to-adult development time in days
 <em>pupa-adult_dev</em>: pupa-to-adult development
 time in days <em>knockdown_time</em>: Heat
 knockdown time in minutes