DOI: 10.5061/dryad.bk3j9kd9r
title: Data from: Ecological mechanism of climate-mediated selection in a rapidly evolving invasive species

description: Recurring seasonal changes can lead to the evolution of phenological cues.
 For example, many arthropods undergo photoperiodic diapause, a programmed
 developmental arrest induced by short autumnal day length. The selective
 mechanisms that determine the timing of autumnal diapause initiation have
 not been empirically identified. We quantified latitudinal clines in
 genetically determined diapause timing of an invasive mosquito, Aedes
 albopictus, on two continents. We show that variation in diapause timing
 within and between continents is explained by a novel application of a
 growing degree day (GDD) model that delineates a location-specific
 deadline after which it is not possible to complete an additional full
 life cycle. GDD models are widely used for predicting spring phenology by
 modeling growth and development as physiological responses to ambient
 temperatures. Our results show that the energy accumulation dynamics
 represented by GDD models have also led to the evolution of an
 anticipatory life-history cue in autumn.
description: Diapause incidence data collected in a common garden experiment
 used to calculate critical photoperiods, historical climate data, and code
 used for analysis and figure generation. Files of
 greatest interest for reuse by diapause researchers indicated with
 *. File descriptions
 <strong>Ae_albopictus_CPP_experiment_data_collated.csv:</strong> experimental data<br> PaperID - individual oviposition paper<br> CageID - unique number for each mosquito cage<br> Cabinet - number of photoperiod cabinet<br> Block - first or second experimental block<br> Population - population name, location from which mosquitoes were collected (described in more detail in mapping_pops_cpp_expt.csv)<br> Country - Japan (JP) or U.S.<br> Lat - Latitude<br> Long - Longitude<br> Photoperiod - number of hours of light in cabinet<br> Generation - number of generations population reared in lab<br> NumPupae - number of pupae added to cage<br> BFDate - cage date of blood meal<br> OvipositionDate - date oviposition paper was collected<br> InitialEggs - number of eggs counted on oviposition paper<br> Subsampled - yes/no whether oviposition paper was subsampled prior to counting eggs<br> H1IndDate - date of induction of first hatch<br> H1CtDate - date of counting larvae in first hatch<br> H1Count - number of larvae in first hatch<br> H2IndDate - date of induction of second hatch<br> H2CtDate - date of counting larvae in second hatch<br> H2Count - number of larvae in second hatch<br> EmbryoCtDate - date on which embryos were counted on oviposition paper<br> EmbryoCount - number of embryonated eggs (pharate larvae) counted on oviposition paper<br> TotalHatch - (H1Count + H2Count)<br> TotalLarvaeEmbryos (H1Count + H2Count + EmbryoCount) <strong>Aealbopictus_CPP_analysis.Rmd</strong>: code used to analyze data and generate figures<br> Place Rmd file in the same directory as data files and run script to generate figures and statistics. Note that some of the R figures were subsequently edited in Inkscape for clarity of annotations, but data presentation is substantively identical to published figures. <strong>CPP_2008.csv</strong><br> Diapause photoperiod response data from 2008 iteration of experiment; collated from https://doi.org/10.5061/dryad.68277435 <strong>* cpp_calcs_filtered.csv</strong><br> Critical photoperiods from all populations from 2008 and 2018, filtering out unreliable data points, generated by R script.<br> pop -  population name<br> Estimate - critical photoperiod (hours)<br> StdError - standard error of critical photoperiod<br> Country - Japan (JP) or U.S.<br> lat - Latitude<br> year - year of mosquito population collection <strong>cpp_calcs_unfiltered.csv</strong><br> Same data as cpp_calcs_filtered.csv, but not applying filtering criteria to oviposition papers <strong>DI_2015_FIELD.csv</strong><br> Diapause incidence data from 2015 field study in Washington DC.<br> WeekDate - date of collection week<br> DOY - date converted to day of year (ordinal day)<br> DI - diapause incidence <strong>FF_JP.csv</strong><br> Date of first frost for all population locations in Japan, 1998-2018. Dates are given as ordinal day of the year. <strong>FF_US.csv</strong><br> Date of first frost for all population locations in the USA, 1998-2018. Dates are given as ordinal day of the year. <strong>GDD400_JP.csv</strong><br> Deadline for 400 growing degree days (GDD) remaining in the year at each population location in Japan,  1998-2018. Dates are given as ordinal day of the year.<br> <strong>GDD400_US.csv</strong><br> Deadline for 400 growing degree days (GDD) remaining in the year at each population location in USA,  1998-2018. Dates are given as ordinal day of the year.<br> <strong>* GDD465_JP.csv</strong><br> Deadline for 465 growing degree days (GDD) remaining in the year at each population location in Japan,  1998-2018. Dates are given as ordinal day of the year.<br> <strong>* GDD465_US.csv</strong><br> Deadline for 465 growing degree days (GDD) remaining in the year at each population location in USA,  1998-2018. Dates are given as ordinal day of the year. <strong>gdd_alternate_deadlines.csv</strong><br> Deadlines calculated using GDD values from 300 to 600, 1998-2018. Includes deadlines calculated for an additional location in France (FRA). <strong>MAN_2014_meantemp.csv</strong><br> Daily mean temperatures (C) in Manassas location (MAN) in 2014. DOY is ordinal day of the year. CountDegrees are degrees above 10 degrees C (count toward growing degree day accumulation); UncountDegrees are temperatures below 10 degrees. <strong>MeanTemp_replocations_2017.csv</strong><br> Daily mean temperatures (C) in latitude-matched subset of population locations in 2017. DOY is ordinal day of the year. <strong>climate_variables</strong> folder: files containing information about average monthly minimum, mean and maximum temperatures, and number of total frost days, in all locations in US and Japan, 1998-2018.