欢迎访问林草资源研究

FOREST RESOURCES WANAGEMENT ›› 2015›› Issue (2): 70-75.doi: 10.13466/j.cnki.lyzygl.2015.02.014

Previous Articles     Next Articles

Research of compatible One-Way and Two-way Tree Volume Models of Prunus armeniaca and Aspen in Gansu Province

GUO Xinyu 1 , CAO Zhong1 , FENG Zhongke 1 , SHEN Dengeng2 , XuHaoxiang3 , FAN Yongiang1   

  1. 1. Beijing Forestry University Precision Forestry Key Laboratory of Beijing, Beijing 100083 China
    2. Forestry Survey, Design Institute of Gansu Province, Lanzhou China 730030,
    3. North West Sci-Tech University of Agriculture, Forestry 712100 China
  • Received:2014-12-08 Revised:2015-03-18 Online:2015-04-28 Published:2021-01-12

Abstract: In order to establish the one-way and two-way tree volume models for Gansu province and improve their accuracy, the paper took Prunu sarmeniaca and Aspen as the research object and applied electronic theodolite to obtain precise data of standing tree in a nondestructive way. By using simultaneous equation of error variance, double-element tree volume equation NDBH duality standing tree volume equation and tree height diameter model were constructed, which provided scientific basis for the estimation of forest stock volume in relevant tree species. The compatibility of the standing tree volume equation was derived from the classic Yamamoto and Tibetan two-way tree volume models as well as index tree height model, followed by an overall evaluation of the newly-established model with six indexs. It was revealed by the result that both two-way tree volume models could yield good results. The average prediction error of two-way tree volume table and prunusarmeniaca DBH unitary-volume table is 2. 12% and2. 58% respectively. In terms of aspen binary volume table and DBH unitary volume table,the average prediction error is 1. 57% and 2. 01% respectively. Therefore ,the models of this article can be used to estimate the volume of prunusarmeniaca and aspen in Gansu Province.

Key words: Two-way Tree Volume, One-way Tree Volume Model, Tree Hight Model, error variable simultaneous equations, Compatibility, Prunu sarmeniaca, Aspen