In this study, single, double and multiple-entry tree volume equations were constructed according to six performance criteria (average residuals or bias, average absolute residuals, standard deviation of residuals or presicion, coefficient of determination, percent total error and percent absolute mean error) for black pine (Pinus nigra Arn. Subs. Pallasiana) in Taşköprü Forest District. The results indicate that the best volume equations chosen from each equation systems can be used for black pine in Taşköprü Forest District at the 0.05 significant level.

In this study, single, double and multiple-entry tree volume equations were constructed according to six performance criteria (average residuals or bias, average absolute residuals, standard deviation of residuals or presicion, coefficient of determination, percent total error and percent absolute mean error) for black pine (Pinus nigra Arn. Subs. Pallasiana) in Taşköprü Forest District. The results indicate that the best volume equations chosen from each equation systems can be used for black pine in Taşköprü Forest District at the 0.05 significant level.