Published July 31, 2023 | Version v1
Dataset Open

Survival data and code: Camouflage using 3D surface disruption

  • 1. University of Western Australia

Description

Disruptive markings are common in animal patterns and can provide camouflage benefits by concealing the body's true edges and/or by breaking the surface of the body into multiple depth planes. Disruptive patterns that are accentuated by high contrast borders are most likely to provide false depth cues to enhance camouflage, but studies to date have used visual detection models or humans as predators. We presented 3D-printed moth-like targets to wild bird predators to determine whether: (1) 3D prey with disrupted body surfaces have higher survival than 3D prey with continuous surfaces, (2) 2D prey with disruptive patterns or enhanced edge markings have higher survival than non-patterned 2D prey. We found a survival benefit for 3D prey with disrupted surfaces, even after accounting for luminance differences among the treatments. There was no evidence that false depth cues provided the same protective benefits as physical surface disruption in 3D prey, perhaps because our treatments did not mimic the complexity of patterns found in natural animal markings. Our findings indicate that disruption of surface continuity is an important strategy for concealing a 3D body shape.

Notes

Analyses run on R version 4.1.0 (2021-05-18), macOS 12.6 and RStudio 2022.07.1, Build 554.

Funding provided by: Australian Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000923
Award Number: FT180100491

Files

Image_and_target_data.csv

Files (26.7 kB)

Name Size Download all
md5:62909b6fae13e97895b98755e4a9e0a6
14.8 kB Preview Download
md5:a73fa73274f523a0e7388d2a641a36fe
1.4 kB Preview Download
md5:e38a9d220615055cfdb237a9ecf02695
5.4 kB Download
md5:f1fa9ab69167aa95bd0d70a5cebe657e
5.1 kB Preview Download