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森林资源二类调查方法的改进及角规抽样监测体系的建立
引用本文:佘光辉,林国忠,温小荣,林寿明,叶金盛.森林资源二类调查方法的改进及角规抽样监测体系的建立[J].南京林业大学学报(自然科学版),2007,31(5):11-14.
作者姓名:佘光辉  林国忠  温小荣  林寿明  叶金盛
作者单位:1. 南京林业大学森林资源与环境学院,江苏,南京,210037
2. 广东省林业调查规划设计院,广东,广州,510500
摘    要:针对我国森林资源二类调查方法与体系的现状进行了分析,采用小班不等概抽样及固定角规点抽样的方法建立森林资源动态监测体系.在理论上论述了小班不等概抽样的估计公式,并给出了具体的证明.在样本组织与估计方面提出了采用利用小班抽样主特征因子与抽样概率成比例的辅助因子、相关系数的方法,指出了采用先验信息具体确定相关系统的估计方法.在动态监测体系中具体给出了采用保留木确定小班蓄积生长量的具体公式.该方法避免了常规二类调查需采用县级加密样地控制方法耗资大、难操作的缺点,使森林资源二类调查自成体系,有利于小班调查与森林生态区域及环境调查结合,实现动态多层次监测.

关 键 词:森林资源调查  方法改进  角规抽样体系  森林资源二类调查  调查方法  改进  角规  抽样概率  监测体系  Sample  Point  Horizontal  Estimation  Growth  Plan  Management  Method  Inventory  Forest  层次  结合  环境调查  生态区域
文章编号:1000-2006(2007)05-0011-04
修稿时间:2007-01-22

Improvement of Forest Inventory Method for Management Plan and Stand Growth Estimation on Horizontal Point Sample
SHE Guang-hui,LIN Guo-zhong,WEN Xiao-rong,LIN Shou-ming,YE Jin-sheng.Improvement of Forest Inventory Method for Management Plan and Stand Growth Estimation on Horizontal Point Sample[J].Journal of Nanjing Forestry University(Natural Sciences ),2007,31(5):11-14.
Authors:SHE Guang-hui  LIN Guo-zhong  WEN Xiao-rong  LIN Shou-ming  YE Jin-sheng
Institution:1. College of Forest Resources and Environment Nanjing Forestry University, Nanjing 210037, China 2. Guangdong Institute of Forest Surveying and Planning Design, Guangzhou 510500,China
Abstract:This paper analyzed the situation of forest inventory for management plan in China.Three problems were put forward.The first was how to control the precision of whole subcompartments survey.The system sampling method with dense-plots on the base of national forest inventory plots was often used to control the precision of subcompartment survey.But now the method can't be used because of expensive survey and longer survey time.The second is how to use survivors on horizontal points sample to estimate the stand growth.The third is how to combine the subcompartment survey with ecological investigation.Using the sampling method with probability proportional to an estimation of size,we can establish the independent sampling system of subcompartment.It ensured the precision of the measure estimation.In order to increase the efficiency of this sampling method,we do the main measures of subcompartment such as the volume which is proportional to the sampling probability.The values of volume,forest coverage or areas of subcompartment,which get from last surveys,was used as an estimation size.In addition,using the remote sensing data and method,we also completed the subcompartment sampling discussed above.According to the principal of sampling with probability proportional to an estimate of size,we carried out the subcompartment sampling.For the selected sampling subcompartment,we put forward permanent horizontal point sample plots,which are well-distributed and are decided on the size of subcompartment.The bigger the size of subcompartment is,the more number of sample plots is.In sample plots,the angle is used to measure the stand basal areas and volume.For the remeasured plots,the method of measuring survivors growth in permanent point sampling was used to get the growth estimation of per sampling subcompartments.For newly numbered tree in sampling plots,the measurements are only made,which will be as new survivors on next inventory.So the sampling system based on subcompartment has been established.If the ecological regions are described by the composed subcompartments,we combined the forest inventory with ecological investigation,which can not only enhance the measures of subcompartment management into that of ecology and environment but also play important role in the forest management field.
Keywords:Forest inventory  Method improvement  Horizontal point sampling systems
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