大兴安岭蒙古栎生物量分配格局与可加性模型研究  

Biomass Allocation and Additive Allometric Models for Quercus Mongolica in Daxing'anling Mountains

作　　者：阳帆 孟盛旺 王威 常广军 彭道黎[1] 刘秦笑芝 YANG Fan;MENG Shengwang;WANG Wei;CHANG Guangjun;PENG Daoli;LIU Qinxiaozhi(College of Forestry,Beijing Forestry University,Beijing 100083,China;Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Academy of Forest Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China;The Second Forestry Monitoring and Planning Institute of Inner Mongolia Autonomous,Ulanhot 137400,China;Experimental Center of Forestry in North China,Chinese Academy of Forestry,Beijing 102300,China)

机构地区：[1]北京林业大学林学院,北京100083 [2]中国科学院地理科学与资源研究所,生态系统网络观测与模拟重点实验室,北京100101 [3]国家林业和草原局调查规划设计院,北京100714 [4]内蒙古自治区第二林业监测规划院,乌兰浩特137400 [5]中国林业科学研究院华北林业实验中心,北京102300

出　　处：《农业机械学报》2020年第6期292-300,共9页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家重点研发计划项目(2016YD0600205)。

摘　　要：为探讨大兴安岭林区蒙古栎地上生物量分配模式,并构建可加性生物量模型,采用破坏性取样法共采集了78株蒙古栎的干材、树皮、树枝和树叶的生物量,其中31株通过全挖法收集根系生物量,计算地上各组分生物量占地上生物量的比例,分析其随胸径的变化趋势。以胸径、树高、冠幅为自变量,探讨各组分的最优生物模型;采用似乎不相关模型构建地上各组分生物量的可加性模型,采用留一交叉法对模型进行验证。结果表明,干材占地上生物量的51%;随胸径的增加,干材生物量占比较为稳定,树枝生物量占比呈上升趋势,树皮和树叶则相反,根茎比表现为先急、后缓的下降趋势,均值为0.36;所有生物量模型均表现出良好的拟合效果(调整决定系数R2Adj为0.907~0.984),采用胸径为自变量的根系生物量模型拟合效果最佳,基于胸径和树高组合变量的干材和树皮生物量模型可取得较好结果,而以胸径和冠幅为自变量的树枝和树叶生物量模型效果最佳。本研究得出的生物量模型对大兴安岭蒙古栎生物量的核算具有参考价值。Aiming to explore the aboveground biomass allocation patterns of Daxing'anling and establish additive allometric biomass models for Quercus Mongolica species,a total of 78 trees were destructively sampled and collected for wood,bark,branch and leaf biomass.Of which,31 trees were selected to excavate and collect root biomass.For each component,the share of biomass allocated to different components was assessed by calculating its ratio.The optimum biomass model for each component was decided by using the diameter,tree height,and crown width as independent variables.Seemingly unrelated regression method was applied to construct an additive system of biomass models for aboveground components.Models were validated by the leave-one-out cross-validation method.The results showed that wood biomass occupied more than half of the aboveground biomass.With the increase of DBH,the wood biomass ratio was relatively stable,branch biomass ratio was increased,while a reverse trend was found for bark and leaf.The root/shoot ratio was decreased rapidly and then slowed down,with an average value of 0.36.All biomass models showed good fitting results with R2Adj in the range of 0.907~0.984.The root biomass model with the diameter as the sole independent variable showed the optimum fitting effect.The combination variable of diameter and height provided the lowest estimation errors in the regressions associated with wood and bark while using both diameter and crown width as the independent variable generated the most accurate models for branch and leaf.It was concluded that the allometric equations would provide important tools for biomass accounting of Quercus Mongolica distributed in Daxing'anling mountains.

关 键 词：蒙古栎 生物量分配 可加性模型 根茎比 

分 类 号：S757.2[农业科学—森林经理学]