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Table. 1 Effects of colour differences between targets and backgrounds on detection risk in survival models

From: Generalist camouflage can be more successful than microhabitat specialisation in natural environments

Explanatory variable

Colour difference metric

Area

Distance from model

z

HR

CI

χ21 

p

AIC

∆E (CIEDE2000)

Near zone

10 m

8.56

1.064

1.049–1.080

74.691

< 0.001

7882.001

∆E (CIEDE2000)

Near zone

30 m

7.98

1.056

1.042–1.071

63.803

< 0.001

7891.923

∆E (CIEDE2000)

Whole image

10 m

7.44

1.054

1.039–1.068

55.802

< 0.001

7901.507

∆E (CIEDE2000)

Whole image

30 m

6.39

1.046

1.032–1.061

41.093

< 0.001

7916.372

Strategy

–

–

− 5.84

0.543

0.443–0.667

37.779

< 0.001

7919.648

Null

–

–

–

–

–

–

–

7958.985

  1. Models are ranked by increasing AIC, including the model testing the effect of strategy (generalist/specialist) for comparison. Photographs taken from two distances away from the model (10 m/30 m) were used to measure coloration in different areas (near zone around the hare model/whole image), and differences between hares and backgrounds were measured as ∆E (CIEDE2000 formula). Hazards ratios (HR) > 1 indicate that increasing difference between models and background areas increases detection risk. The HR for the Strategy model corresponds to decreased risk for generalists compared to specialists. The null model includes the same random effects as all other models, but no strategy or colour difference variable
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