Table 1.

Testing the effects of the moth target's coloration properties on detection and recognition. (Each data column shows the results of the fit of a separate general linear model. All fitted models included three target coloration properties as predictor variables (number of edge-intersecting patches, total proportion of targets dark area and uniformity). These predictors were fitted using type III sums of squares to control for the effect of correlated coloration properties. The geometric means for the detectability and recognizability of each target were calculated across all 63 target presentations. Test statistics reported for the fitted models are F-values (d.f. = 1,59 in all cases), with significance denoted by italics and asterisks. *p < 0.05, **p < 0.01, ***p < 0.001.

		dependent variables
predictor variables		detectability		recognizability
type of coloration	target coloration variable	survival (log transformed)	search time (log transformed)	inspection time	final inspection time	no. passes
edge	edge-intersecting patches	4.26, p = 0.044*	8.36, p = 0.005**	18.83, p < 0.001***	9.34, p = 0.003**	7.03, p = 0.010**
overall	total prop. of dark area	0.12, p = 0.729	0.87, p = 0.360	0.08, p = 0.782	0.135, p = 0.714	0.15, p = 0.700
overall	uniformity	3.99, p = 0.050*	7.20, p = 0.009**	1.401, p = 0.241	0.06, p = 0.9390	4.48, p = 0.039*