北京林业大学学报2025，Vol.47Issue(12)：48-55,8.DOI:10.12171/j.1000-1522.20250299
天山云杉天然林优势高估计方法
Estimation methods for dominant height in natural forest of Picea schrenkiana var.tianschanica
摘要
Abstract
[Objective]To select the optimal dominant height estimation method for natural Picea schrenkiana var.tianschanica forests in the Tianshan Mountains,this study compared seven methods to provide a scientific basis for regional forest site quality evaluation.[Method]Based on three 1 ha sample plots in the Tianshan region of Xinjiang,seven stand dominant height estimation methods were constructed using the traditional method,modified largest tree method,small plot estimation,and U-estimation method as foundations,combined with two dominant tree selection strategies(largest DBH trees and tallest trees).The relationships among methods were analyzed through correlation and significance difference tests.Different sub-plot sizes and density gradients were established to determine the threshold ranges where dominant height estimation stabilized.Uncertainty was quantified using bias and stratified standard deviation,and correlation analysis with stand volume,mean DBH,biomass,and other factors was conducted to comprehensively select the optimal method.[Result](1)Correlation coefficients among the different dominant height estimation methods ranged from 0.76 to 0.99,with significant differences detected among them.(2)The threshold plot area for stable dominant height estimation was 0.06-0.13 ha,and the stand density threshold was 500-1 000 tree/ha.(3)The modified largest tree method(5.99)and U-estimation method(6.02)using the tallest tree selection strategy produced the smallest uncertainty.(4)All dominant height estimation methods showed strong correlations with stand factors,and the modified largest tree method(tallest tree strategy)was identified as the optimal method for natural Picea schrenkiana var.tianschanica forests.[Conclusion]The modified largest tree method(tallest tree strategy)identified in this study is suitable for dominant height estimation in natural Picea schrenkiana var.tianschanica forests and can provide technical support for site quality evaluation of natural forests in this region.关键词
林分优势高/立地生产力/天山云杉/立地质量评价Key words
stand dominant height/site productivity/Picea schrenkiana var.tianschanica/site quality evaluation分类
农业科技引用本文复制引用
冯垚,周梦丽,罗光成,许芳泽,陶然,向玮..天山云杉天然林优势高估计方法[J].北京林业大学学报,2025,47(12):48-55,8.基金项目
国家重点研发计划(2022YFD2200502-04),国家自然科学基金项目(32160366). （2022YFD2200502-04）
