文献类型：期刊文献

英文题名：Research on the Wood Density Measurement in Standing Trees through the Micro Drilling Resistance Method

作者：Yao, Jianfeng[1,2,3] Zhao, Yabin[1] Lu, Jun[4] Liu, Hengyuan[1] Wu, Zhenyang[1] Song, Xinyu[2,3,5] Li, Zhuofan[2,3,6]

第一作者：Yao, Jianfeng

通信作者：Lu, J[1]

机构：[1]Xinyang Normal Univ, Coll Comp & Informat Technol, Xinyang 464000, Peoples R China;[2]Henan Dabieshan Natl Field Observat & Res Stn Fore, Zhengzhou 450046, Peoples R China;[3]Xinyang Acad Ecol Res, Xinyang 464000, Peoples R China;[4]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[5]Xinyang Normal Univ, Coll Math & Stat, Xinyang 464000, Peoples R China;[6]Xinyang Normal Univ, Coll Tourism, Xinyang 464000, Peoples R China

年份：2024

卷号：15

期号：1

外文期刊名：FORESTS

收录：;EI(收录号：20240515457513);Scopus(收录号：2-s2.0-85183316631);WOS:【SCI-EXPANDED(收录号:WOS:001149058200001)】；

基金：Shouzheng Tang, an academician of the Chinese Academy of Forestry, provided guidance on topic selection; Xiangdong Lei, a researcher of the Chinese Academy of Forestry, provided the Resistograph 650-SC instrument.

语种：英文

外文关键词：mathematical model; micro-drilling resistance method; standing trees; wood density

摘要：To achieve a micro-destructive and rapid measurement of the wood density of standing trees, this study investigated the possibility of the unified modeling of multiple tree species, the reliability of the micro drilling resistance method for measuring wood density, the relationship between drilling needle resistance and wood density, and whether moisture content has a significant impact on the model. First, 231 tree cores and drill resistance data were sampled from Pinus massoniana, Cunninghamia lanceolate, and Cryptomeria fortunei. The basic density and moisture content of each core were measured, and the average value of each resistance data record was calculated. Second, the average drill resistance, the natural logarithm of average drill resistance, and absolute moisture content were used as independent variables, while the basic wood density was used as the dependent variable. Third, the total model of the three tree species and sub-model for each tree species were established through a stepwise regression method. Finally, the accuracy of each model was compared and analyzed with that of using the average basic density of each tree species as an estimated density. The estimated accuracy of the total model, sub model, and average wood density modeling data were 90.070%, 93.865%, and 92.195%, respectively. The results revealed that the estimation accuracy of the sub-model was 1.670 percentage points higher than that of the average wood density modeling data, while the estimation accuracy of the total model was 2.125 percentage points lower than that of the average wood density modeling data. Additionally, except for Cryptomeria fortunei, the natural logarithm of drill resistance significantly influenced the wood density model at a significance level of 0.05. Moreover, moisture content significantly affected the total model and sub-models of Pinus massoniana at a significance level of 0.05. The results indicated the feasibility of using the micro-drilling resistance method to measure the wood density of standing trees. Moreover, the relationship between wood density and drill resistance did not follow a linear pattern, and moisture content slightly influenced the drill needle resistance. Furthermore, the establishment of a mathematical model for each tree species was deemed essential. This study provides valuable guidance for measuring the wood density of standing trees through the micro-drilling resistance method.