Table 2.

Results from redundancy analyses (RDAs) assessing how natural enemies, population structure, and environmental conditions each contribute to variation in coevolutionary traits. Conditional RDAs show the proportion of variance explained (prop. var.) by a given explanatory variable after removing the effects of the conditioned variables listed within the parentheses of Condition(). Marginal models only include significant variables after forward model selection. Significant p‐values are highlighted in bold

Response Variable	Explanatory Variable(s)	F	p‐Value	Prop. var.
Snake TTX Resistance	Newt TTX	8.866	0.023	0.496
	Snake Genomic PCos	4.244	0.064	0.448
	Environmental PCs	0.751	0.51	−0.067
	Newt TTX + Condition(Snake Genomic PCos)	1.891	0.242	0.071
	Snake Genomic PCos + Condition(Newt TTX)	1.171	0.389	0.023
	Newt TTX + Condition(Environmental PCs)	14.137	0.005	0.732
	Environmental PCs + Condition(Newt TTX)	2.778	0.145	0.170
	Snake Genomic PCos + Condition(Environmental PCs)	3.195	0.136	0.451
	Environmental PCs + Condition(Snake Genomic PCos)	0.690	0.558	−0.064
	Marginal Model: Newt TTX	8.866	0.023	0.496
Newt TTX	Snake TTX Resistance	8.866	0.025	0.496
	Newt Genomic PCos	24.975	0.003	0.857
	Environmental PCs	9.859	0.008	0.689
	Snake TTX Resistance + Condition(Newt Genomic PCos)	0.052	0.818	−0.027
	Newt Genomic PCos + Condition(Snake TTX Resistance)	7.892	0.021	0.334
	Snake TTX Resistance + Condition(Environmental PCs)	14.137	0.01	0.214
	Environmental PCs + Condition(Snake TTX Resistance)	15.596	0.007	0.407
	Newt Genomic PCos + Condition(Environmental PCs)	4.831	0.076	0.174
	Environmental PCs + Condition(Newt Genomic PCos)	1.140	0.426	0.006
	Marginal Model: Newt Genomic PCo1	36.278	0.001	0.815