TABLE 2.

Summary of the linear mixed‐effect models

Tree‐level	Best model	Best model	Best model
	Estimate (SE)	Estimate (SE)	Estimate (SE)
Mild	Resistance	Recovery	Resilience
Intercept	−0.47 (0.15)*	−0.41 (0.11)**	−0.55 (0.13)**
Spfir	0.74 (0.10)***	0.61 (0.10)***	0.86 (0.10)***
NIratio_fir		−0.07 (0.09)
NIratio fir × Spfir		0.21 (0.10)*
$R_{\mathrm{m}}^2$	0.127	0.102	0.170
$R_{\mathrm{c}}^2$	0.216	0.134	0.240
Severe	Resistance	Recovery	Resilience
Intercept	−0.72 (0.18)**	0.11 (0.17)	−0.56 (0.11)***
Spfir	1.20 (0.12)***	−0.35 (0.14)*	0.88 (0.13)***
NIratio_fir	−0.20 (0.10)*		−0.27 (0.10)**
NIratio other	−0.31 (0.11)**	0.45 (0.12)***
BAstand	0.03 (0.13)		−0.16 (0.07)°
SPEI	0.15 (0.07)*	0.26 (0.08)***	0.27 (0.06)***
NIratio fir × Spfir	0.30 (0.12)*		0.21 (0.13)
NIratio other × Spfir	0.32 (0.12)**	−0.46 (0.14)***
BAstand × Spfir	−0.29 (0.12)*
$R_{\mathrm{m}}^2$	0.349	0.172	0.250
$R_{\mathrm{c}}^2$	0.509	0.265	0.266

Fit of tree‐level resistance, recovery, and resilience (mild and severe events) as a function of different variables (best models). Sp = species (2 levels: fir, and the reference spruce); NI_{ratio fir} = ratio of competition intensity of fir to total intensity of competition; NI_{ratio other} = ratio of competition intensity of other species (mainly beech) to total intensity of competition; BA_stand = residual stand basal area; SPEI = SPEI of July at the time scale of 5 months; x = interaction; $R_{\mathrm{m}}^2$ = marginal R‐squared (variance explained by the fixed factors); and $R_{\mathrm{c}}^2$ = conditional R‐squared (variance explained by the fixed and random factors). Significance levels: “***” 0.001, “**” 0.01, “*” 0.05, “°” 0.1. See Table S6 for the full models.