摘要
基于国家森林资源连续清查的抽样框架,分别采用系统抽样、随机抽样和整群抽样3种方法组织年度1/5调查样本,并进行联合估计。以抽样比、抽样精度和抽样组织进行抽样效率分析。结果表明:在95%可靠性下,随机抽样、系统抽样和群团抽样估计精度的均值为94.70%,低于连续清查抽样估计的精度,但大于94.50%;系统抽样、随机抽样和群团抽样活立木储量估计值与后期调查值间的相关性系数R均值分别为0.97,0.99和0.96,相对差异RD%均值分别为-0.28,-0.14和-0.14;1/5样本抽样方案优度由大到小的顺序依次为随机抽样、系统抽样和群团抽样,1/5调查样本采用完全随机抽样更能降低人为干扰对估计结果的影响。以县为整体的类似整群抽样在实际工作开展中能够有效地降低因调查地区转移带来的各种成本,但由于不同群之间的差异较大,由此而引起的抽样误差往往大于随机抽样。
1/5 of the survey samples were organized by systematic sampling,stochastic sampling and cluster sampling based on the framework of national continuous forest inventory,respectively,and joint estimation was carried out.Sampling efficiency was analyzed by sampling ratio,sampling accuracy and sampling organization.Results showed that,with 95%reliability,the average estimation accuracy of stochastic sampling,second-stage systematic sampling and second-stage cluster sampling was 94.70%,lower than continuous forest inventory estimation accuracy,but greater than 94.50%.The mean correlation coefficient R between the estimated value of the standing volume,biomass and carbon storageand observations of systematic sampling,stochastic sampling and cluster sampling were 0.97,0.99 and 0.96,respectively.The relative difference RD%were-0.28,-0.14 and-0.14,respectively.The goodness of sampling scheme in the order of the largest to the smallest were stochastic sampling,systematic sampling and cluster sampling with comprehensive analysis.Stochastic sampling could reduce the effects of human disturbance on estimation results.Cluster sampling with counties as a group could effectively reduce the cost of transfer in practice.However,due to the large difference between different groups,the sampling error caused by this is often greater than stochastic sampling.
作者
吴恒
胥辉
WU Heng;XU Hui(Southwest Forestry University,Kunming 650224,China;Southwest Survey and Planning Institute,National Forestry and Grassland Administration,Kunming 650031,China)
出处
《林业资源管理》
北大核心
2022年第3期48-53,共6页
Forest Resources Management
基金
国家自然科学基金项目(31770677,31660202)
云南省唐守正院士工作站(2018IC066)。
关键词
抽样技术
年度监测
森林资源
连续清查
sampling technique
annual monitoring
forest resources
continuous forest inventory
