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Appendix 1. Multiple linear model: number of cranes vs abiotic conditions

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Appendix 1. Multiple linear model: number of cranes vs abiotic conditions

Table A1.1. Multiple linear models of abiotic variables (temperature, water level and rainfall) as predictors of the maximum number of Common Cranes in autumn and spring, but minimum number of wintering cranes in January. Abiotic variables were averaged for the whole year (365 days).

Regression coefficients and standard errors (+SE) are shown with t-values and P-values.

Autumn Winter Spring

Estimate +SE t P Estimate +SE t P Estimate +SE t P Temperature 6.03 + 6.57 0.92 0.336 -4.38 + 6.91 0.63 0.532 -15.90 + 14.88 -1.07 0.294 Water level 55.90 + 16.41 3.41 0.002 -24.67 + 8.04 3.07 0.004 48.50 + 31.28 1.55 0.131 Rainfall 0.06 + 0.04 1.62 0.116 0.02 + 0.04 0.53 0.600 0.12 + 0.09 1.34 0.191 intercept -108 + 80 -1.35 0.189 80 + 85 0.94 0.351 211.94 + 183.45 1.16 0.257 Model F3,39=6.92, P<0.001 F3,39=4.01, P=0.014 F3,31=3.184, P=0.037

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