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作 者:肖丰[1] XIAO Feng(Yunnan Institute of Forest Inventory and Planning, Kunming 650051, China)
出 处:《林业调查规划》2022年第3期16-20,39,共6页Forest Inventory and Planning
摘 要:在云南省迪庆州和丽江市的5个县(区、市)的天然高山松林中选取269株样木作为研究对象,分析立木材积与胸径、树高、冠幅、冠长之间的关系,构建基于胸径、树高和树冠因子的立木材积模型,引入传统的胸高一元、二元模型与之相比较,分析其拟合效果,并分别做独立性模型检验。结果表明,立木材积与胸径相关度最高,其次为树高;在树冠因子中,立木材积与冠幅相关性高于冠长。基于树高、树冠因子的材积模型构建中,一元模型中树高的拟合效果最佳,R^(2)为0.803254;二元模型中树高与冠幅的拟合效果最佳,R^(2)为0.874176;三元模型中分别与树高、冠长、冠幅次方的拟合效果最佳,R^(2)为0.880104。针对激光雷达技术的应用范围、树枝枯损和精度提高等方面进行了讨论。269 sample trees were selected from Pinus densata natural forest in five counties(districts and cities)of Deqen Prefecture and Lijiang City,Yunnan Province,to analyzed the relationship between standing tree volume and DBH,tree height,crown width and crown length,and construct the standing tree volume model based on DBH,tree height and crown factors.The traditional unitary and binary models were introduced to compare,the fitting effect was analyzed,and the independence model was tested respectively.The results showed that the correlation between tree volume and DBH was the highest,followed by tree height;in the crown factor,the correlation between tree volume and crown width was higher than that of crown length.The fitting effect of tree height in the unitary model was the best,R^(2)was 0.803254;the fitting effect of tree height and crown width in the binary model was the best,R^(2)was 0.874176;the fitting effect of tree height,crown length and crown width in the ternary model was the best,R^(2)was 0.880104.This paper also discussed the application scope of Lidar technology,tree damage and accuracy improvement.
关 键 词:高山松天然林 单木材积 模型构建 模型拟合 模型检验 激光雷达技术
分 类 号:S791.2594[农业科学—林木遗传育种]
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