基于区域化特征分析的活立木生物量调查抽样优化
收稿日期: 2022-12-18
修回日期: 2023-04-21
网络出版日期: 2023-06-26
基金资助
国家林业和草原局西南调查规划院科技项目“基于区域化特征分析的森林碳储量年度监测抽样设计优化研究”(2023-09)
Sampling Optimization of Stand Biomass Survey Based on Regional Characteristics Analysis
Received date: 2022-12-18
Revised date: 2023-04-21
Online published: 2023-06-26
吴恒 , 刘浪 , 陆驰 , 王保云 . 基于区域化特征分析的活立木生物量调查抽样优化[J]. 林草资源研究, 2023 , 0(2) : 57 -63 . DOI: 10.13466/j.cnki.lyzygl.2023.02.008
Forest biomass monitoring is the basic work to correctly understand and manage forest ecosystem.Analyzing existing data is an effective way to improve sampling efficiency.In this study,regional characteristics analysis tool was used with the data from the sixth to ninth continuous forest inventories of Sichuan Province in 2002,2007,2012 and 2017,respectively.Combined with the regional characteristics analysis,some samples from the selected samples by stratified sampling were selected to form annual sampling plots.Probability sampling estimation was applied for sampling efficiency analysis.The results show that the regional characteristics analysis can effectively reduce the variance within each stratification,which can be used as the prior information of spatial stratification sampling.With 95% reliability,the average accuracy of spatial stratified sampling of stand biomass estimation was 93.41%,which greatly reduced the workload of field survey,effectively improved sampling efficiency.
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