Skip to main content
Dryad logo

Data and R scripts from: Which factors determine the long-term effect of poor early-life nutrition? A meta-analytic review

Citation

Almeida, L. Zoe; Hovick, Stephen; Ludsin, Stuart; Marschall, Elizabeth (2021), Data and R scripts from: Which factors determine the long-term effect of poor early-life nutrition? A meta-analytic review, Dryad, Dataset, https://doi.org/10.5061/dryad.bnzs7h4b3

Abstract

Early-life conditions can have long-lasting effects (experiential legacies) on an individual’s performance. Experiential legacies are an important source of variation among mature individuals because responses to early-life environments vary widely. Yet, the factors influencing the magnitudes and directions of phenotypic responses to experiential legacies are poorly understood, hindering our ability to predict adult phenotypes and population-level consequences of environmental stressors. To better understand these issues, we examined how experiential legacies varied with the type of phenotypic response (e.g., reproduction, longevity), characteristics of the individual, and characteristics of the stressful conditions imposed. We conducted a meta-analytic review (nspecies = 65, nstudies = 81), examining experiential legacies of early-life nutritional restriction. We found generally consistent negative or neutral impacts of early nutritional stress on later-life phenotypes, indicating that positive responses to early nutritional restriction may be rare among organisms. Our results also demonstrated differences in how experiential legacies were expressed in specific dimensions of an individual’s phenotype; for example, magnitude and direction differed among responses in development rate (weak negative response), offspring quality and quantity (strong negative), and longevity (neutral response). We also found that the harsher the early-life nutritional stress, the stronger the negative nutritional legacy. Our results emphasize the complicated interactions among a suite of phenotypic responses in determining individual performance. Given the potential for individual performance to inform the demography and dynamics of populations, we offer avenues for future research that can improve our understanding of how experiential legacies of nutrition or other early-life conditions affect populations.

Methods

The primary data are contained in the file titled "Almeida_et_at_Data_Ecosphere_final.csv". These data were extracted from the primary literature and, within the R scripts included, were used to calculate effect sizes and within meta-regressions. Additional data files include phylogenetic correlation matrices and shared control covariance matrices that are used within the meta-regressions.

Usage Notes

The metadata file "Almeida_et_al_Metadata_Ecosphere_final.txt" contains general information about the R scripts and the data files, including definitions for the variables within the main datafile. Each R script file also includes brief metadata at the top of the script and comments throughout the script explaining the analyses and data manipulation.