DOI: 10.5061/dryad.bn1sr05
title: Data from: Phenotypically plastic responses to predation risk are temperature dependent

description: Predicting how organisms respond to climate change requires that we
 understand the temperature dependence of fitness in relevant ecological
 contexts (e.g., with or without predation risk). Predation risk often
 induces changes to life history traits that are themselves temperature
 dependent. We explore how perceived predation risk and temperature
 interact to determine fitness (indicated by the intrinsic rate of
 increase, r) through changes to its underlying components (net
 reproductive rate, generation time, and survival) in Daphnia magna. We
 exposed Daphnia to predation cues from dragonfly naiads early, late, or
 throughout their ontogeny. Predation risk increased r differentially
 across temperatures and depending on the timing of exposure to predation
 cues. The timing of predation risk likewise altered the temperature
 dependent response of T and R0. Daphnia at hotter temperatures responded
 to predation risk by increasing r through a combination of increased R0
 and decreased T that together countered an increase in mortality rate.
 However, only D. magna that experienced predation cues early in ontogeny
 showed elevated r at colder temperatures. These results highlight the fact
 that phenotypically plastic responses of life history traits to predation
 risk can be strongly temperature dependent.
description: Survival Analyses
 ScriptR Script analyzing
 survival curves and producing figure 5. Requires
 "DeathAnalysis.csv" file.surv3.RCode for GAMs of r, T, R0 and Figures 2, 3, 4Code for analysis of GAMs for r, T, and R0. This code also creates figures 2-4. Requires "Life Table Summary.csv", "r bootstraps.csv", and "Births_DS.csv" to run.GAMs_r T R0_V2.RDeathAnalysisSpreadsheet of death date of each individual by treatment (A - Control, B - early, C - late, D - constant), replicate ("Rep") (1-10), days survived from the start of the experiment ("Days"), days survived from the start of the temperature initiation after the natal period ("DaysTemp"), and whether an individual died by the end of the experiment ("Death") where 0 is alive and 1 is dead.Life Table SummaryDerived life table information from bootstrapped data. Treatment (TRT) (A - control, B - early, C - late, D - Constant), net reproductive rate (R0), generation time (T), intrinsic per capita rate of increase (r), population size (N), and upper and lower 95% values of bootstraps.r boostrapsRaw bootstrap data (1,000 bootstraps) with each row corresponding to the treatment by temperature combination in the "Life Table Summary.csv" data and each column representing an individual bootstrap.Births_DSFecundity schedule by the check number (not day as there were sometimes multiple checks per day). Treatment (TRT: A - control, B - early, C - late, D - constant), temperature in °C (Temp), replication (Rep), visual check number (numbered columns 1-30), total fecundity (total), whether individual was a male, whether individual died through accident or was removed from the experiment prior to death or the end of the experiment (NonDeath), and the last check found alive (LastCheck).