GENERAL INFORMATION1. Title: Data supporting: “Eye catching light: Anthropogenic light pollution and its evolutionary influence on the avian eye”2. Author InformationName: Margaret M. WolfInstitution: Department of Biological Sciences, California Polytechnic State UniversityAddress: 1 Grand Ave, San Luis Obispo, California, USA 93407Email: [email protected]: Clinton D. FrancisInstitution: Department of Biological Sciences, California Polytechnic State UniversityAddress: 1 Grand Ave, San Luis Obispo, California, USA 93407Email: [email protected]. FILE OVERVIEWTwo "ReadMe" files provide overviews of the code used in analyses in this report and to describe the variables in the data files. These are:1) README_WolfandFrancis_Code.rft2) README_WolfandFrancis_DATA.rftR Code files include:1) Wolf_LightEyeGeometries_Analyses.R - which provides code for all primary analyses presented in the report.2) Wolf_MorphoRepeatability_Analyses.R - which provides code for analyses related to the repeatability of morphological measurements presented in the report.Data files include:1) Wolf_LightEyeGeometries_Data.csv - which is associated with the Wolf_LightEyeGeometries_Analyses.R code.2) Wolf_MorphoRepeatability_Data.csv - which is associated with the Wolf_MorphoRepeatability_Analyses.R code.

GENERAL INFORMATION1. Title: Data supporting: “Eye catching light: Anthropogenic light pollution and its evolutionary influence on the avian eye”2. Author InformationName: Margaret M. WolfInstitution: Department of Biological Sciences, California Polytechnic State UniversityAddress: 1 Grand Ave, San Luis Obispo, California, USA 93407Email: [email protected]: Clinton D. FrancisInstitution: Department of Biological Sciences, California Polytechnic State UniversityAddress: 1 Grand Ave, San Luis Obispo, California, USA 93407Email: [email protected]. FILE OVERVIEWTwo "ReadMe" files provide overviews of the code used in analyses in this report and to describe the variables in the data files. These are:1) README_WolfandFrancis_Code.rft2) README_WolfandFrancis_DATA.rftR Code files include:1) Wolf_LightEyeGeometries_Analyses.R - which provides code for all primary analyses presented in the report.2) Wolf_MorphoRepeatability_Analyses.R - which provides code for analyses related to the repeatability of morphological measurements presented in the report.Data files include:1) Wolf_LightEyeGeometries_Data.csv - which is associated with the Wolf_LightEyeGeometries_Analyses.R code.2) Wolf_MorphoRepeatability_Data.csv - which is associated with the Wolf_MorphoRepeatability_Analyses.R code.

Reductions in animal body size over recent decades are often interpreted as an adaptive evolutionary response to climate warming. However, for reductions in size to reflect adaptive evolution, directional selection on body size within populations must have become negative, or, where already negative, more so, as temperatures increased. To test this hypothesis, we performed a meta-analysis of the association between annual estimates of directional selection on body size from wild populations and annual mean temperatures in 39 studies. We found no evidence that warmer environments were associated with selection for smaller size. Instead, selection consistently favoured larger individuals, and was invariant to temperature. These patterns were similar in ectotherms and endotherms. An analysis using year rather than temperature revealed similar patterns, suggesting no evidence that selection has changed over time, and also indicating that the lack of association with annual temperature was not an artefact of choosing an erroneous time window for aggregating the temperature data. Although phenotypic trends in size will be driven by a combination of genetic and environmental factors, our results suggest little evidence for a necessary ingredient - negative directional selection - for declines in body size to be considered an adaptive evolutionary response to changing selection pressures.

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