普洱市思茅区森林生物量分层抽样调查设计分析

Analysis of the Stratified Sampling Design for Forest Biomass in Simao District,Pu'er City

生物量的准确评估对于林业资源管理与碳汇评估具有重要意义。以云南省思茅区为例,运用地统计学方法分析了该区生物量的空间分布特征,并比较了不同插值与抽样方法对生物量评估的影响。结果表明:思茅区生物量具有轻微的正空间自相关性,但空间异质性较强;普通克里金法的插值效果更好;与系统抽样相比,各种分层抽样方法可以显著提高抽样精度,其中以考虑优势树种的分层抽样效果最佳。指出了对具有空间异质性的生物量开展分层抽样,可以获得比传统方法更高的评估精度,合理选择分层变量对提高抽样精度至关重要。

Accurate assessment of biomass is of paramount importance for forestry resource management and carbon sink evaluation.Using the Simao District of Yunnan Province as a case study,this research employs geostatistical methods to analyze the spatial distribution characteristics of biomass in the area.It also compares the impact of different interpolation and sampling methods on biomass estimation.The findings indicate that the biomass in Simao District exhibits a slight positive spatial autocorrelation but exhibits strong spatial heterogeneity.The interpolation effect of the ordinary Kriging method is better.Compared to systematic sampling,various stratified sampling methods can significantly enhance sampling accuracy,with stratified sampling considering dominant tree species performing the best.In summary,conducting stratified sampling for biomass with spatial heterogeneity can achieve higher estimation accuracy than traditional methods.Proper selection of stratification variables is crucial for enhancing sampling accuracy.