Yao, J.; Zhao, Y.; Lu, J.; Liu, H.; Wu, Z.; Song, X.; Li, Z. Research on the Wood Density Measurement in Standing Trees though the Micro Drilling Resistance Method. Forests2024, 15, 175.
Yao, J.; Zhao, Y.; Lu, J.; Liu, H.; Wu, Z.; Song, X.; Li, Z. Research on the Wood Density Measurement in Standing Trees though the Micro Drilling Resistance Method. Forests 2024, 15, 175.
Yao, J.; Zhao, Y.; Lu, J.; Liu, H.; Wu, Z.; Song, X.; Li, Z. Research on the Wood Density Measurement in Standing Trees though the Micro Drilling Resistance Method. Forests2024, 15, 175.
Yao, J.; Zhao, Y.; Lu, J.; Liu, H.; Wu, Z.; Song, X.; Li, Z. Research on the Wood Density Measurement in Standing Trees though the Micro Drilling Resistance Method. Forests 2024, 15, 175.
Abstract
To achieve a micro-destructive and rapid measurement of the wood density of standing trees, this study investigated the feasibility of using the micro-drilling resistance method, formulated a mathematical model, explored the potential for a unified model across multiple tree species, and analyzed the influence of moisture content on measurement accuracy. 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 wood basic 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 results revealed that the estimation accuracy of the sub-model for each tree species was 1.670 percentage points higher than the average value of each tree species used as the density estimation value for these tree species. 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 estimation accuracy of the total mathematical model was 2.125 percentage points lower than that achieved using the average basic density of each tree species to predict their density. 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.
Keywords
wood density; micro-drilling resistance method; standing trees; mathematical model
Subject
Biology and Life Sciences, Forestry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
