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Dryad

Data from: Climate is a strong predictor of near-infrared reflectance but a poor predictor of colour in butterflies

Cite this dataset

Munro, Joshua T. et al. (2019). Data from: Climate is a strong predictor of near-infrared reflectance but a poor predictor of colour in butterflies [Dataset]. Dryad. https://doi.org/10.5061/dryad.bq862p1

Abstract

Colour variation across climatic gradients is a common ecogeographical pattern; yet there is long-standing contention over underlying causes, particularly selection for thermal benefits. We tested the evolutionary association between climate gradients and reflectance of near-infrared (NIR) wavelengths, which influence heat gain but are not visible to animals. We measured ultraviolet, visible and NIR reflectance from calibrated images of 372 butterfly specimens from 60 populations (49 species, 5 families) spanning the Australian continent. Consistent with selection for thermal benefits, the association between climate and reflectance was stronger (slope and effect size) for NIR than UVA-visible wavelengths. Furthermore, climate predicted reflectance of the thorax and basal wing, which are critical to thermoregulation; but did not predict reflectance of the entire wing, which has a variable role in thermoregulation depending on basking behaviour. These results provide evidence that selection for thermal benefits has shaped the reflectance properties of butterflies.

Usage notes

Location

Australia