Evaluation of fitting and adjustment methods for taper and volume prediction of black pine in Turkey

ÖZÇELİK R., Cao Q. V.

Forest Science, cilt.63, sa.4, ss.349-355, 2017 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 63 Sayı: 4
  • Basım Tarihi: 2017
  • Doi Numarası: 10.5849/fs.2016-067
  • Dergi Adı: Forest Science
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.349-355
  • Anahtar Kelimeler: Black pine, Optimization, Segmented regression model, Taper, Volume
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Evet

Özet

A modified form (Cao, Q.V. South. J. Appl. For. 33[2]:58–61, 2009) of the taper model of T.A. Max and H.E. Burkhart (For. Sci. 22[3]:283–289, 1976) was used in this study to predict taper and volume of black pine. A total of 16 methods were evaluated, including 4 fitting methods (optimized for taper, cumulative volume, taper and cumulative volume, and taper and total volume) and 4 adjustment strategies (unadjusted, adjusted to match dbh, predicted total volume, and dbh and predicted total volume). Results showed that adjustment did not improve the performance of the taper model. Also for this data set, the model with parameters optimized for taper and either total or cumulative volume performed better than the other fitting methods in predicting both taper and cumulative volume.