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heat loss by evaporation and we employed minimal solar radiation because cloud cover reduces heat gain by radiation. Minimal barometric pressure was consldered because storms, which could affect the birds’ energy expenditure, are generally preceded by a decrease in atmospheric pressure.

Weather data were recorded during the study by three weather stations (station 1: 48°19’24” N, 68°31’23” W, altitude: 166 m; station 2: 48°17*50” N, 68°3r34” W, altitude: 176 m; station 3: 48°16’46’* N, 68°33’05” W, altitude: 188 m) located within the Macp6s forest. Each station included Instruments at four heights (2 m, 8 m, 14 m and 20 m) that recorded wind speed each 2 minutes and ambient temperaturę, relative humidity (used to calculate absolute humidity), solar radiation and atmospheric pressure each 15 minutes. For each variable, values from all heights and stations were hourly averaged and these averages were used in our analysis. Unfortunately, equipment failure prevented us from recording accurate solar radiation data.

2.4.4 Sexing individuals

Of the 183 individual birds captured for this study, 99 (45 females and 54 males) were sexed by PCR analyses (n = 32) (Griffiths et al.t 1998) or by dissection after metabolic measurements (n = 67) (these birds were sacrificed for a study on organ size flexibility, Petit & Vćzina, 2014a). These birds were then used to establish a discriminant function using morphometric data to determine the sex of the 84 remaining birds (21 females, 29 males, 34 undetermined) using discriminant analyses (Desrochers, 1990).

2.4.5 Statistical analysis

To analyse the relationship between metabolic performance and weather variations within the year, we first extracted residual BMR and residual Msum from ANCOVAs that analysed the effects of sex and body mass on whole BMR and Msum. Since minimal ambient temperaturę and absolute humidity were strongly correlated (r > 0.90), we could not include both parameters in models. We therefore used a polynomial regression to extract residual values for absolute humidity controlling for the effect of temperaturę and included this new variable in further analyses. To characterize the birds* capacity to adjust their BMR and Msum to weather



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