检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:曾伟生 ZENG Weisheng(Academy of Forest and Grassland Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714)
机构地区:[1]国家林业和草原局调查规划设计院
出 处:《林业资源管理》2019年第6期38-41,共4页Forest Resources Management
基 金:国家自然科学基金项目(31770676)
摘 要:基于吉林省汪清林业局的20块落叶林样地的每木胸径和树高实测数据,建立了总体水平和林分水平的树高-胸径回归模型,并对比分析了4种不同方法对蓄积量估计误差的影响。结果表明:对总体蓄积量的估计,4种方法的估计误差相差不大,都在±0.3%以内;而对林分蓄积量的估计,林分模型法的估计误差最小,也在±0.3%以内;总体模型法的估计误差最大,在±7%以内;调整模型法和相对模型法的估计误差都较小,均在±2%以内。本研究提出的调整模型法与相对模型法一样,是值得推荐的基于二元立木材积模型估算森林蓄积量的实用方法。Based on mensuration data of individual tree diameter and height from 20 larch plots in Wangqing Forest Bureau of Jilin province,height-diameter regression models on population level and stand level were developed,and impact of different methods to forest volume estimation was analyzed.The results showed that for estimation of total volume the errors of four methods were less than±0.3%,and for estimation of stand volume the error of stand model method was minimum and less than±0.3%,the error of population model method was maximum but less than±7%,and the errors of adjusted model method and relative model method were small and less than±2%.Like the relative model method,the adjusted model methodpresented in this paper is a recommended practical approach for forest volume estimation based on two-variable tree volume model.
关 键 词:树高-胸径模型 相对树高曲线 RICHARDS函数 总体水平模型 林分水平模型
分 类 号:S758.5[农业科学—森林经理学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.38