Data from: Pluck or luck: does trait variation or chance drive variation in lifetime reproductive success?

• Main Authors: Snyder, Robin E., Ellner, Stephen P.
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2017
• Subjects: Ecology: population; Rissa tridactyla; Pseudoroegneria spicata; rissa tridactyla
• Online Access: https://doi.org/10.5061/dryad.pd959

While there has been extensive interest in how intraspecific trait variation affects ecological processes, outcomes are highly variable even when individuals are identical: some are lucky while others are not. Trait variation is therefore only important if it adds substantially to the variability produced by luck. We ask when trait variation has a substantial effect on variability in lifetime reproductive success (LRS), using two approaches: 1) we partition the variation in LRS into contributions from luck and trait variation; 2) we ask what can be inferred about an individual's traits, and with what certainty, given their observed LRS. In theoretical stage- and size-structured models, and two empirical case studies, we find that luck usually dominates the variance of LRS. Even when individuals differ substantially in ways that affect expected LRS, unless the effects of luck are substantially reduced (e.g. low variability in reproductive lifespan or in annual fecundity), most variance in lifetime outcomes is due to luck, implying that departures from "null" models omitting trait variation will be hard to detect. Luck also obscures the relationship between realized LRS and individual traits. While trait variation may influence the fate of populations, luck often governs the lives of individuals. README age2SizePars.R Data file used by IdahoIPMFunctions.R age2SizePars.csv BaselineParameterSets.Rdata Data file used by SizeQualityFunctionsPlot.R and SizeQualityVarPartition.R growPars.csv Data file used by IdahoIPMFunctions.R IdahoIPMFunctions.R Defines functions needed by IdahoIPMLifeCycleStats.R and IdahoWinnerTraits2Plots.R IdahoIPMLifeCycleStats.R Code to generate Figs. 5 and 6 IdahoWinnerTraits2Plots.R Code to generate Figs. 7 and 8 KittiwakeMatrices.R Data used by KittiwakeWinnerTraitsFecSurv3.R. Demographic data are taken from Steiner, U. K., S. Tuljapurkar, and S. H. Orzack. 2010. Dynamic heterogeneity and life history variability in the kittiwake. Journal of Animal Ecology 79:436–444 and Cam, E., W. A. ...