Study on Optimal Height-Curve Model of Natural Pinus densata Forest in Shangri-La

doi:10.13466/j.cnki.lyzygl.2016.01.009

Abstract

Abstract: The study of tree height curve is an important basis in forest growth and harvesting.In this paper,we used the data of 732 individual trees of natural Pinus densata located in Shangri-La,Yunnan province,11 regular generalized height-curve models were chosen to establish the correlation between the DBH and the height of Pinus densata,calculate the accuracy of each model.Then,model selection was on the basis of correlation coefficient(R²),root mean square error(RMSE)and mean deviation(MD).The result showed that the Parabola model had the highest accuracy,its R²=0.6073,RMSE=1.711,MD=-0.0101,Spearman Correlation coefficient=0.676,and significance level<0.01,which was the best height curve of natural Pinus densata in Shangri-La.The model can provide a scientific basis for the management and survey of Pinus densata in Shangri-La

Key words: height-curve model, Pinus densata, Shangri-La

CLC Number:

S757.2

ZHANG Yan, SHU Qingtai, XU Yundong, LI Shengjiao, WANG Yonggang. Study on Optimal Height-Curve Model of Natural Pinus densata Forest in Shangri-La[J]. FOREST RESOURCES WANAGEMENT, 2016, (1): 46-51.

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