基于普洱市思茅区森林资源二类调查数据,以森林起源、地类、龄组、优势树种作为分层变量,在95%的可靠性下,设置95%,90%和85%的抽样设计精度分层抽样进行森林生物量估测,将抽样调查结果与系统抽样方法进行比较。结果表明:1)分层抽样具有样本数量少、抽样精度高的明显优势,在普洱市思茅区,按85%的设计精度,按优势树种的分层抽样比系统抽样的效率约提高了52%;2)采用单变量进行分层抽样,优势树种具有显著优势。按85%的设计精度,在样本数量为44个的前提下,其实际抽样精度达到87.82%。

Based on the second class survey data of forest resources in Simao District of Pu'er City,taking forest origin,land type,age group and dominant tree species as stratified variables,the forest biomass was estimated by stratified sampling with 95%,90% and 85% sampling design accuracy under 95% reliability.The results show that:1) stratified sampling has obvious advantages of small sample size and high sampling accuracy.In Simao District of Pu'er City,the efficiency of stratified sampling based on dominant tree species is about 52% higher than that of systematic sampling with 85% design accuracy;2) stratified sampling based on single variable has significant advantages for dominant tree species.According to the design accuracy of 85%,the actual sampling accuracy can reach 87.82% under the premise of 44 samples.