Data from: Unscrambling variation in avian eggshell colour and patterning in a continent-wide study
Data files
Jan 10, 2019 version files 199.18 KB
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averageDF.csv
41 KB
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AVERAGEDF2018final.nooutsiders.csv
39.86 KB
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averagePatternDF.csv
104.61 KB
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MagpieAnalysisOCT2018.R
13.70 KB
Feb 23, 2019 version files 141.94 KB
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MagpieCode2024.R
19.98 KB
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MagpieCombinedData2024.csv
71.54 KB
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OutlierDataset2024.csv
48.56 KB
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README.md
1.87 KB
Abstract
The evolutionary drivers underlying marked variation in the pigmentation of eggs within many avian species remains unclear. The leading hypotheses proposed to explain such variation advocate the roles of genetic differences, signalling and/or structural integrity. One means of testing amongst these hypotheses is to capitalise on museum collections of eggs obtained throughout a broad geographic range of a species to ensure sufficient variation in predictors pertaining to each hypothesis. Here we measured colouration and patterning in eggs from 271 clutches of Australian Magpies (Cracticus tibicen) collected across most of their geographic range of ca. 7 million km2; encompassing eight subspecies, variation in environmental parameters, and the presence/ absence of a brood parasite. We found considerable variation in background colour, as well as in the extent and distribution of patterning across eggs. There was little evidence that this variation was explained by subspecies. However, we found marked differences in relation to the contemporary presence of a brood parasite. Measures of maximum temperature, relative humidity, leaf area index and soil calcium all contributed to variation in egg appearance, although their explanatory power was relatively low. Our results suggest that multiple factors combine to influence egg appearance in this species, and that even in species with highly variable eggs, colouration is not readily explained.
Note: An error in data manipulation was identified and corrected. A correction has been applied to this article (April 2024), approved by RSOS.
https://doi.org/10.5061/dryad.q3b7b78
Correction Notice: An error in data manipulation was identified and corrected. A correction has been applied to this article (April 2024), approved by RSOS, and the data has been updated to reflect this correction.
Description of the data and file structure
MagpieCode2024
Clean R Code for all Magpie analyses (R).
MagpieCombinedData2024
Clean and corrected colour dataset and maculation dataset (csv).
OutlierDataset2024
Outlier dataset (csv).
Sharing/Access information
Data was derived from the following sources:
- Distribution maps were extracted from the Directory of Australian Birds.
- Temperatures (Tmax, °C) and relative humidity (%) were downloaded from the Australian Water Availability Project via http://www.bom.gov.au.
- Leaf area index measurements were obtained via the TERN AusCover portal (http://www.auscover.org.au/ and produced from tiles originally downloaded from USGS (https://lpdaac.usgs.gov/.
- Soil calcium levels were extracted from the Soil and Landscape Grid of Australia via http://www.clw.csiro.au/aclep/soilandlandscapegrid.
Code/Software
R studio code: MagpieCode2024.R
Lines 1-139: Data collation
Lines 142-154: Start analyses- load MagpieCombinedData2024.csv.
Lines 157-329: Univariate analyses
Lines 332- 425: Multivariate analyses
Lines 430- 510: Figures
Lines 513- 585: SM Figures
Loaded packages: car, dunn.test, dplyr, EnvStats, ggplot2, lme4, lmerTest, MuMIn, multcomp,pbkrtest, plyr, robCompositions, raster, spdep, tidyr, visreg.