基于手持激光雷达的人工侧柏纯林冠层空间互补性  

Spatial complementarity of canopy layer in pure Platycladus orientalis plantations based on handheld mobile laser scanning

作　　者：胡蕾 刘茜紫 耿燕[1] 余世有 姜俊[1] 陈玲[2] Hu Lei;Liu Xizi;Geng Yan;Yu Shiyou;Jiang Jun;Chen Ling(Research Center of Forest Management Engineering of National Forestry and Grassland Administration,Beijing Forestry University,Beijing 100083,China;Key Laboratory of Forest Resources&Environmental Management,National Forestry and Grassland Administration,Beijing Forestry University,Beijing 100083,China)

机构地区：[1]北京林业大学国家林业和草原局森林经营工程技术研究中心,北京100083 [2]北京林业大学森林资源和环境管理国家林业和草原局重点实验室,北京100083

出　　处：《北京林业大学学报》2025年第4期61-73,共13页Journal of Beijing Forestry University

基　　金：国家自然科学基金项目(32171521);北京山区生态林经营管理支撑项目(2024-LYZ-01-007)。

摘　　要：【目的】探讨手持激光雷达在冠层空间互补性研究中的适用性,分析冠层空间互补性的影响因素及其对单木生长量的影响,为优化侧柏纯林的林分结构并提高生产力提供参考。【方法】基于地面实测数据验证手持激光雷达点云数据的精度,评估其在冠层空间互补性研究中的可行性;以邻域树木性状变异、邻体密度、土壤因子和地形因子为解释变量,运用线性相关分析和全子集回归模型探讨解释变量与冠层空间互补性之间的相关关系;采用结构方程模型解析冠层空间互补性在解释变量影响目标树生长量过程中的中介作用。【结果】(1)手持激光雷达提取的胸径、树高和冠幅与野外实测值呈显著正相关(P<0.001),表明其参数精度适用于冠层空间互补性研究。(2)树冠形状变异(P<0.001)、树冠大小变异(P<0.01)和树木高度变异(P<0.001)对冠层空间互补性具有显著的促进作用;株数密度(P<0.001)同样也具有显著正效应;坡向(P<0.05)与坡度(P<0.05)能显著影响冠层空间互补性;土壤全磷(P<0.05)、全钾(P<0.01)、有效磷(P<0.05)、有效钾(P<0.05)含量和土壤容重(P<0.05)均显著负向影响冠层空间互补性。全子集模型结果表明,邻域树木性状变异和土壤因子为冠层空间互补性变异的主要驱动因素,解释量分别占总解释量的40.75%和31.64%。(3)冠层空间互补性显著促进目标树胸径生长(P<0.01)。结构方程模型结果表明,邻域树木性状变异、邻体密度、土壤和地形因子均可通过冠层空间互补性间接影响目标树生长。【结论】冠层空间互补性在人工侧柏纯林中普遍存在,并受到生物和非生物因子的共同影响,这些因子通过冠层空间互补性间接促进了树木的生长。基于本研究结果,建议在种植侧柏时,应优先选择阴坡且土壤养分丰富的区域;对于已建成的人工侧柏纯林,可通过定期修剪侧柏、增加树木间垂直方向差�[Objective]To optimize the structural composition and enhance the growth of Platycladus orientalis plantations,this study systematically analyzed the factors influencing canopy spatial complementarity in Platycladus orientalis plantations using handheld mobile laser scanning(HMLS)and evaluated their impacts on individual tree growth.[Method]First,the applicability of HMLS in studying canopy spatial complementarity was evaluated by comparing HMLS-derived measurements with field observations.Neighborhood tree trait variation,neighborhood density,soil properties,and topographic factors were then considered as explanatory variables,and the correlation between these variables and canopy spatial complementarity were explored using linear regression model and full-subset model.Finally,structural equation modeling(SEM)was employed to analyze the role of canopy spatial complementarity in the process of variables influencing the growth of target trees.[Result](1)The diameter at breast height(DBH),tree height(TH)and crown width(CW)extracted by HMLS were significantly correlated with fieldmeasured values(P<0.001),demonstrating the accuracy of HMLS-derived parameters was suitable for canopy spatial complementarity studies.(2)Variations in crown shape(P<0.001),crown size(P<0.01),and tree height(P<0.001)significantly contributed to canopy spatial complementarity.Stand density(P<0.001),slope aspect(P<0.05)and slope gradient(P<0.05)were also observed as positive contributors.However,soil total phosphorus(P<0.05),total potassium(P=0.01),available phosphorus(P<0.05),available potassium(P<0.05),and soil bulk density(P<0.05)negatively affected canopy spatial complementarity.The full-subset model indicated that neighborhood tree trait variation and soil factors were the primary drivers of canopy spatial complementary variation,explaining 40.8%and 31.6%of variance,respectively.(3)Canopy spatial complementarity was found to significantly promote the DBH growth of target trees(P<0.01).SEM results revealed that neighborhood tree trait var

关 键 词：冠层空间互补性 胸径生长量 手持激光雷达 纯林 侧柏 

分 类 号：S718.5[农业科学—林学]