Abstract This study utilized a micro-drill resistance method to measure wood density and developed a comprehensive model and a grouping model to assess their applicability and reliability across different tree species. Results showed that the comprehensive model effectively captured overall data trends but exhibited lower stability compared to the grouping model. While advantageous for its wide applicability across multiple tree species without requiring individual species models, the comprehensive model yielded a large standard deviation, indicating variability in performance. Conversely, the grouping model demonstrated superior stability but slightly lower estimation accuracy, suggesting that separate models can better depict the relationship between wood density and drilling resistance for specific species. Additionally, the study found a relatively small impact of drilling needle usage and wood moisture content on drilling resistance, though further verification is needed. Future research should focus on expanding sample sizes, particularly for underrepresented species, to enhance model robustness and stability. Incorporating factors like tree age and environmental variables could further improve model accuracy and explanatory power. This study provides a scientific basis for measuring wood density using micro-drill resistance and explores the challenges of cross-species density estimation. Continued research and technological advancements promise to make this method increasingly important for wood density measurement.
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Yao et al. (2024) studied this question.
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