DOI: 10.5061/dryad.57qr203
title: Data from: The importance of growing up: juvenile environment influences dispersal of individuals and their neighbours

description: Dispersal is a key ecological process that is strongly influenced by both
 phenotype and environment. Here, we show that juvenile environment
 influences dispersal not only by shaping individual phenotypes, but also
 by changing the phenotypes of neighbouring conspecifics, which influence
 how individuals disperse. We used a model system (Tribolium castaneum, red
 flour beetles) to test how the past environment of dispersing individuals
 and their neighbours influences how they disperse in their current
 environment. We found that individuals dispersed especially far when
 exposed to a poor environment as adults if their phenotype, or even
 one‐third of their neighbours’ phenotypes, were shaped by a poor
 environment as juveniles. Juvenile environment therefore shapes dispersal
 both directly, by influencing phenotype, as well as indirectly, by
 influencing the external social environment. Thus, the juvenile
 environment of even a minority of individuals in a group can influence the
 dispersal of the entire group.
description: Raw Data from
 ExperimentData of dispersal of
 individual red flour beetles within experimental arrays. As described in
 the manuscript: "We allowed populations of Tribolium castaneum to
 disperse across replicate linear arrays, manipulating current density (low
 = 18 adults, high = 90 adults), current habitat quality (low = 99.5% corn
 flour, 0.475% wheat flour, 0.025% brewer’s yeast; high = 98.2% corn flour,
 1.71% wheat flour, 0.09% brewer’s yeast), and juvenile density (low and
 high) in a fully-factorial design (2 current densities x 2 current habitat
 qualities x 2 juvenile densities x 15–20 replicate dispersal arrays = 143
 arrays). One-third of beetles within each array were experimental beetles
 that experienced either a low or a high juvenile density (n=18 or 90),
 while the remaining two-thirds of beetles were standardized beetles that
 experienced an intermediate juvenile density
 (n=40)."Endriss&Vahsen_Dispersal_EcologyLetters_Data.csvStewart et al 2017 supporting dataThis data highlights that the experimental treatments used in this experiment were biologically meaningful in terms of carrying capacity. More details can be found in the README file.Stewart_etal_2017_All_Data_EcoEvo_Final_Data.csvOrdinal RegressionFits ordinal regression to dispersal distances for experimental and background beetles. Extracts predicted mean decumulative probabilities for some treatment combinations.Endriss&Vahsen_OrdinalRegression.RDispersal kernel parameters modelCalculates mean, standard deviation, skew, kurtosis, and maximum for random samples of 6 individuals for each status in each array. Fits linear mixed models to these data and extracts test-statistics and p-values for models.Endriss&Vahsen_DispersalKernelParams.RDispersal kernel parameters predicted means (mean)Calculates mean for random samples of 6 individuals per status in each array. Fits linear mixed model to these data and extracts predicted means for some treatment combinations.Endriss&Vahsen_DispersalKernelMeans_Mean.RDispersal kernel parameters predicted means (standard deviation and maximum)Calculates standard deviation and maximum for random samples of 6 individuals per status in each array. Fits linear mixed model to these data and extracts predicted means for some treatment combinations.Endriss&Vahsen_DispersalKernelMeans_SD&Max.RFigure 3Code to produce figure 3.Endriss&Vahsen_Fig3.RPredicted means from ordinal regression (DM)Predicted means from ordinal regression model for current density by juvenile density treatment combinations.OrdinalRegression_DM_Means.csvPredicted means from ordinal regression (DH)Predicted means from ordinal regression for current density by habitat quality treatment combinations.OrdinalRegression_DH_Means.csvFigure 4Code to produce figure 4.Endriss&Vahsen_Fig4.RPredicted means from LMM mean dispersalPredicted means for mean dispersal distance for current density by habitat quality and current density by juvenile density treatment combinations for experimental and background beetles.LMM_DH_DM_Means.csvFigure 5Code to produce figure 5.Endriss&Vahsen_Fig5.RFigure S1Code to calculate estimated carrying capacities using data from Stewart et al. 2017.Endriss&Vahsen_FigS1.RFigure S2Plots correlation between mean distance dispersed of experimental and standardized beetles within an array for each treatment combination (Fig S2).Endriss&Vahsen_CorrelationTest_FigS2.RPredicted means from LMM (standard deviation)Predicted means and CIs for linear mixed model of standard deviation of dispersal kernels of experimental and standardized beetles.LMM_DM_SD.csvPredicted means from LMM (maximum)Predicted means of maximum distance linear mixed model dispersed for current density by juvenile density treatment combinations.LMM_DM_Max.csvFigure S3Code for producing figure S3.Endriss&Vahsen_FigS3.RPredicted means from ordinal regression (JH)Predicted means from ordinal regression for juvenile density by habitat quality treatment combinations.OrdinalRegression_JH_Means.csvFigure S4Code to produce figure S4.Endriss&Vahsen_FigS4.RGrowth RateCalculates average growth rate for different juvenile density treatments.GrowthRate.R