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Table 3 Parameter estimates and associated statistics of a model for predicting adaptation based on beliefs and constraints associated with adapting forest management to climate change by forest owners and managers

From: Adaptation of forest management to climate change as perceived by forest owners and managers in Belgium

Variable Estimate (SE) z-stat P value
Intercept –0.964 (0.449) –2.148 0.03
belief mgmt adapt 2.079 (0.481) 4.325 <0.001
lack of knowledge –5.069 (1.635) –3.101 0.002
lack of finances –3.632 (1.555) –2.336 0.02
lack of conviction –4.239 (1.503) –2.821 0.005
lack of information –5.037 (1.669) –3.019 0.003
lack of capacity –3.594 (1.540) –2.334 0.02
increased tree growth 2.653 (0.780) 3.400 <0.001
dnk belief climate change –5.376 (2.053) –2.619 0.01
dnk how adapt –1.831 (0.731) –2.505 0.01
  1. belief mgmt adapt: belief in the need to adjust forest management practices; dnk belief climate change: do not know whether climate change is happening: dnk how adapt, do not know how to adapt forest management. All diagnostic statistics given for the logistic regression model are significant at α = 0.05. The null deviance = 460.49, the degrees of freedom for the null model = 390, the residual deviance = 175.71, and the residual degrees of freedom = 381. The model fits the data significantly better than the null model (p < 0.0001)