Table 1 Significance (P) and Pearson’s correlation coefficient (r) of the relationships between the indicated monthly median standardized anomalies for June, July, and August retaining site as a unit of variation.

Regression model	Month	P	r
NEE ~ snow melt \| Rg & air T	June	< 0.001	0.42
	July	0.040	0.21
	August	< 0.001	−0.48
GPP ~ snow melt \| Rg & air T	June	< 0.001	−0.52
	July	0.001	−0.33
	August	0.0074	0.27
ER ~ snow melt \| Rg & air T	June	< 0.001	−0.38
	July	< 0.001	−0.34
	August	–	–

Site was retained as the unit of variation by estimating the standardized anomalies by month and site for each of the indicated variables. The anomalies of the indicated variables were regressed with snow depth anomalies using a partial correlation accounting for the anomalies of solar radiation and air temperature, as shown in Fig. 2. The P and r were only included when the P < 0.1 (given that for P > 0.1 we assumed that r is not significantly different from zero), N = 284.

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