Verification of a Model of Stand Density Control Diagram for Austrian Black Pine Plantations in Bulgaria
The Stand Density Control Diagram (SDCD) is an average stand-level model which is primarily used to derive density control schedules by management objective. One of its applications is to evaluate stand growth parameters at any time of stand development. The main objective of the present investigation is to examine a model of SDCD estimated for Austrian black pine (Pinus nigra Arn.) plantations in Bulgaria with a representative validation data set and to illustrate its application for estimation of density, mean breast height diameter and stand stock. Equivalent mean diameter curves proved to be very good predictors for all studied growth parameters, having smaller relative errors than the Equivalent height curves. A result of practical importance is the insignificant difference between the direct (experimental dominant height) and the indirect (predicted dominant height) way of parameter estimation. Among all six examined ways of determination of the stand stock the Equivalent mean diameter curves based on the experimental values of basal area and dominant height showed best performance. The proposed model of SDCD avoids some disadvantages of the existing growth and yield models and supplies a reliable method for estimation of the stand growth parameters.
| Main Authors: | , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
Unidade de Silvicultura e Produtos Florestais
2007
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| Online Access: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522007000200002 |
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| Summary: | The Stand Density Control Diagram (SDCD) is an average stand-level model which is primarily used to derive density control schedules by management objective. One of its applications is to evaluate stand growth parameters at any time of stand development. The main objective of the present investigation is to examine a model of SDCD estimated for Austrian black pine (Pinus nigra Arn.) plantations in Bulgaria with a representative validation data set and to illustrate its application for estimation of density, mean breast height diameter and stand stock. Equivalent mean diameter curves proved to be very good predictors for all studied growth parameters, having smaller relative errors than the Equivalent height curves. A result of practical importance is the insignificant difference between the direct (experimental dominant height) and the indirect (predicted dominant height) way of parameter estimation. Among all six examined ways of determination of the stand stock the Equivalent mean diameter curves based on the experimental values of basal area and dominant height showed best performance. The proposed model of SDCD avoids some disadvantages of the existing growth and yield models and supplies a reliable method for estimation of the stand growth parameters. |
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