Table 4 Results of models that assess the probability of a terminal bud being browsed in relation to chemical compounds and physical traits of pine seedlings.

Model	Coefficients	Estimate	SE	Z value	95% CI		Pr(>\|z\|)
Model	Coefficients	Estimate	SE	Z value	Lower	Upper	Pr(>\|z\|)
M1	α (Intercept)	− 0.67	0.18	− 3.63	− 1.15	− 0.21	0.0002
	β₁ (total monoterpenes)	− 0.08	0.36	− 0.21	− 1.00	0.82	0.833
	β₂ (resins)	0.07	0.36	0.18	− 0.83	1.00	0.854
M2	α (Intercept)	− 0.68	0.11	− 6.27	− 0.89	− 0.47	3.7e−10
M2	β₁ (α-pinene)	− 0.34	0.12	− 2.91	− 0.57	− 0.12	0.004
M3	α (Intercept)	− 0.67	0.13	− 5.20	− 1.00	− 0.36	1.99e−07
	β₁ (toughness)	− 0.19	0.15	− 1.29	− 0.56	0.18	0.197
	β₂ (water)	0.13	0.15	0.85	− 0.24	0.51	0.397

We present the estimated value (Logit scale), standard error, z-value and their associated p value, and the lower and upper limits of the 95% confidence interval. Significant p values are highlighted in bold. M1: Results of the model that assess the probability of a terminal bud being browsed in relation to total monoterpenes and total resins concentration. α is the baseline probability, β₁ is the regression coefficient that represents the effects of totals monoterpenes; β₂ is the regression coefficient that represents the effects of totals resin content. M2: Results of the model that assess the probability of a terminal bud being browsed in relation to α-pinene concentration. α is the baseline probability, β₁ is the regression coefficient that represents the effects of α-pinene concentration. M3: Results of the model that assess the probability of a terminal bud being browsed in relation to foliar toughness and water content. α is the baseline probability, β₁ is the regression coefficient that represents the effects of foliar toughness; β₂ is the regression coefficient that represents the effects of water content.

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