Predicting Total Height from Diameter Using Nonlinear Models in Pinus roxburghii

Authors

  • TB Thapa District Forest Office, Kaski
  • CP Upadhyaya Institute of Forestry, Tribhuvan University, Pokhara
  • YP Timilsina Institute of Forestry, Tribhuvan University, Pokhara
  • SK Bhandari Institute of Forestry, Tribhuvan University, Pokhara
  • L Puri Institute of Forestry, Tribhuvan University, Pokhara

DOI:

https://doi.org/10.3126/njst.v14i1.8935

Keywords:

Chir-pine, diameter at breast height, statistical model, model evaluation, trees

Abstract

Height of the trees is not only used to estimate the product available from trees and to determine the productive capacity of the particular land but also used in forest management and research activities. In this research, predictability of total height from diameter at breast height for chir-pine (Pinus roxburghii) by using nonlinear models was examined. Total height and diameter at breast height of 180 trees were measured by using Suunto Clinometer and diameter tape respectively. The measured data were subjected to previously developed robust and strong statistical models, and evaluated by using different test statistics. Among those, H = e(-0.276) D0.925 explained the greatest proportion of variations of height (R2adj.=0.910) and minimum root mean square error (RMSE=1.221) and showed desirable behavior of flexibility and robustness.

Nepal Journal of Science and Technology Vol. 14, No. 1 (2013) 147-152

DOI: http://dx.doi.org/10.3126/njst.v14i1.8935

Downloads

Download data is not yet available.
Abstract
798
PDF
719

Downloads

Published

2013-10-14

How to Cite

Thapa, T., Upadhyaya, C., Timilsina, Y., Bhandari, S., & Puri, L. (2013). Predicting Total Height from Diameter Using Nonlinear Models in Pinus roxburghii. Nepal Journal of Science and Technology, 14(1), 147–152. https://doi.org/10.3126/njst.v14i1.8935

Issue

Vol. 14 No. 1 (2013)

Section

Articles

License

Authors retain copyright and grant the journal right of first publication.