我国一元立木材积表基本现状分析与估计误差检验  

Analysis of General Status and Examination of Estimation Errors for One-Variable Tree Volume Tables in China

作　　者：曾伟生 杨学云 ZENG Weisheng;YANG Xueyun(Academy of Forestry Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China)

机构地区：[1]国家林业和草原局林草调查规划院,北京100714

出　　处：《林业资源管理》2023年第2期43-49,共7页Forest Resources Management

基　　金：国家财政专项“森林资源监测与评价”(2130207)。

摘　　要：立木材积表是森林资源调查监测的重要基础数表。一元立木材积表在国家森林资源连续清查中已经应用了40多年,目前的适用性如何一直未进行过系统检验。对现行一元立木材积表的基本现状,从数量、分区、树种及材积式类型等方面进行分析,并利用138911株测高样木数据对大部分一元立木材积表进行检验。结果表明:国家森林资源连续清查中应用的一元立木材积表总数达到707个,按省级行政区分布数量相差悬殊,从3~171个不等;有18个省级行政区划分了若干个编表总体,而其它省级行政区则是以行政区范围为总体;各省级行政区编表树种组数量也存在较大差异,最少的才3个,最多的达到31个;编表所用模型达到25个,但近九成的一元立木材积表是基于其中5个模型编制的;全部一元立木材积表约七成超出了±5%的允许误差限,31个省级行政区及四大森工集团的材积估计误差有10个超出了±10%的范围,其中负偏最大的为-14.86%,正偏最大的为23.22%。基于分析结果,建议在本次清查期末对现行的一元立木材积表进行一次全面而系统的适用性检验,并对已存在显著偏差的一元立木材积表进行统一修订,从编表总体划分、树种分组、材积式类型等方面进行优化调整,同时还应积极推进材积估计方法从一元表向二元表转变。Tree volume tables are important basic tools in forest inventory and monitoring.One-variable tree volume tables have been used in continuous forest inventories(CFIs)of China for more than 40 years,but we have never systematically tested the applicability in nowadays.In this paper,the general status of currently used one-variable tree volume tables were analyzed from the aspects of quantity,zoning,tree species,and model type;and most of one-variable tree volume tables were examined by using the tree height data of 138911 sample trees.The results showed that the total number of one-variable tree volume tables used in China′s CFI reached 707,and the number of provincial volume tables varied greatly,from 3 to 171;there were 18 provincial regions divided into several modeling populations,while others were based on whole provincial regions;there were also great differences in the number of tree species groups for developing tree volume tables in each provincial region,with the least being 3 and the most being 31;a total of 25 models were used to develop tree volume tables,but nearly 90%of the tree volume tables were based on 5 models;about 70%of the one-variable tree volume tables exceeded the allowable error limit of±5%,and 10 of 31 provincial regions and four forest industry groups exceeded the range of±10%of the volume estimation errors,among which the maximum negative bias was-14.86%and the maximum positive bias was 23.22%.Based on the results of analysis,it is suggested that at the end of this inventory,a comprehensive and systematic applicability test should be carried out on the current one-variable tree volume tables;and unified revision should be made on the tree volume tables with significant deviation,so as to optimize and adjust the division of modeling populations,tree species grouping and the volume model type;and the change of volume estimation method from one-variable table to two-variable table should be actively promoted.

关 键 词：一元立木材积表 森林连续清查 树高曲线 材积估计误差 

分 类 号：S758.62[农业科学—森林经理学]