Table 4
Multiple linear regression analysis in 1961–2019 between dependent percentage of salvage logging or percentage of spruce logging and independent studied factors sunspot number, TSI, season temperature CZ, season precipitation CZ, NAO, seasonal NAO; significant results at p < 0.05 are in bold; seasonal temperature, seasonal precipitation, and seasonal NAO are detailed in the methodology section with the vegetation season.
Percentage of salvage logging |
||||||||
---|---|---|---|---|---|---|---|---|
b* | Std.Err. of b* | b | Std.Err. of b | t | p-value | Summary Statistics | ||
Intercept | 49044.13 | 22708.36 | 2.16 | 0.04 | Multiple R | 0.47 | ||
Sunspot number | 0.28 | 0.27 | 0.08 | 0.08 | 1.04 | 0.30 | Multiple R 2 | 0.22 |
TSI | −0.59 | 0.28 | −36.09 | 16.71 | −2.16 | 0.04 | Adjusted R 2 | 0.12 |
Seasonal temperature CZ | 0.38 | 0.17 | 7.61 | 3.48 | 2.19 | 0.03 | F | 2.35 |
Seasonal precipitation CZ | −0.05 | 0.16 | −0.01 | 0.05 | −0.29 | 0.77 | p-value | 0.04 |
NAO | 0.23 | 0.19 | 7.55 | 5.98 | 1.26 | 0.21 | Std.Err. of estimate | 17.77 |
Seasonal NAO | −0.21 | 0.18 | −5.55 | 4.56 | −1.22 | 0.23 | ||
Percentage of spruce logging |
||||||||
b* |
Std.Err. of b* |
b
|
Std.Err. of b
|
t
|
p-value |
Summary statistics |
||
Intercept | −4992.04 | 5684.31 | −0.88 | 0.38 | Multiple R | 0.50 | ||
Sunspot number | −0.54 | 0.27 | −0.04 | 0.02 | −2.04 | 0.04 | Multiple R 2 | 0.25 |
TSI | 0.24 | 0.27 | 3.71 | 4.18 | 0.89 | 0.38 | Adjusted R 2 | 0.17 |
Seasonal temperature CZ | 0.25 | 0.17 | 1.29 | 0.87 | 1.48 | 0.84 | F | 2.89 |
Seasonal precipitation CZ | 0.11 | 0.16 | 0.01 | 0.01 | 0.72 | 0.51 | p-value | 0.02 |
NAO | 0.04 | 0.18 | 0.30 | 1.50 | 0.20 | 0.15 | Std.Err. of estimate | 4.45 |
Seasonal NAO | 0.11 | 0.17 | 0.76 | 1.14 | 0.67 | 0.48 |
Notes: b* – standardized and b – non-standardized regression coefficients (relative contribution of each independent variable); Std.Err. – standard error; t – the t-value and resulting p-value are used to test the hypothesis that the intercept is equal to 0; F – the F-value and resulting p-value is used as an overall F-test of the relationship between the dependent variable and the set in independent variables.
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