| 田志艳,延原原,张 超.基于森林资源二类调查数据的森林生物量抽样设计对比研究[J].林业调查规划,2023,48(2):9-15 |
| 基于森林资源二类调查数据的森林生物量抽样设计对比研究 |
| Comparative Study on Sampling Design of Forest Biomass Based on Forest Management Inventory Data |
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| DOI： |
| 中文关键词: 分层抽样 系统抽样 森林地上生物量 抽样精度 森林资源二类调查数据 |
| 英文关键词: stratified sampling systematic sampling forest aboveground biomass sampling accuracy forest management inventory data |
| 基金项目:国家自然科学基金项目（32160405）；云南省“万人计划”人才培养项目（YNWR-QNBJ-2018-334）. |
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| 中文摘要: |
| 探究和对比不同抽样方法对森林生物量抽样调查中样地数量、样地布设及估算精度等方面的影响，优选适宜的抽样方案，在保证精度的前提下节省外业调查的工作量和成本。基于云南省大理市2016年森林资源二类调查小班数据，以森林起源、龄组、优势树种作为分层变量，在可靠性为95%、抽样精度为90%和85%的条件下，计算分层抽样所需的样本单元数，并与系统抽样进行比较分析；以分层抽样方法进行大理市森林地上生物量的抽样设计，将抽样结果与系统抽样方法进行比较分析。结果表明，抽样精度为90%时，分层抽样所需的样本单元数分别比系统抽样少21.91%、12.92%和45.51%；抽样精度为85%时，分层抽样所需的样本单元数分别比系统抽样少21.51%、12.66%和45.57%；在相同的抽样精度条件下，抽样单元数呈现起源＞优势树种＞龄组的变化趋势。按抽样精度90%，系统抽样估测的大理市森林地上总生物量为1 914.83万 t，按起源、优势树种和龄组，其总生物量估测值分别为1 608.22万 t、1 679.03万 t、1 536.08万 t。在可靠性和抽样精度相同时，实际抽样精度排序为起源＞优势树种＞龄组，其中，利用优势树种估测的森林地上总生物量为1 679.03万 t，最接近实际值，按优势树种估测的抽样效果较好，抽样精度为96.63%。由于分层抽样具有样本数量少、抽样精度高的明显优势，可为区域森林生物量抽样调查和估测提供方法参考。 |
| 英文摘要: |
| This paper explored and compared the effects of different sampling methods on the number, layout, and estimation accuracy of sample plots in forest biomass sampling surveys, and selected suitable sampling plans to save the workload and cost of field surveys while ensuring accuracy. Based on the sub-compartment data of forest management inventory in Dali City, Yunnan Province in 2016, using forest origin, age group, and dominant tree species as stratified variables, the number of sample units required for stratified sampling was calculated and compared with systematic sampling under the conditions of reliability of 95%, sampling accuracy of 90% and 85%; the sampling design of forest aboveground biomass was made by using stratified sampling method, and the sampling results were compared with systematic sampling method. The results showed that when the design accuracy was 90%, stratified sampling was 21.91%, 12.92%, and 45.51% less than systematic sampling, respectively; when the design accuracy was 85%, stratified sampling was 21.51%, 12.66%, and 45.57% less than the systematic sampling, respectively; under the same design precision, the number of sampling units showed a trend of origin>dominant tree species>age group; according to 90% design accuracy, the total biomass estimated by systematic sampling was 19.148 3 million t, the total biomass estimated by origin,dominant tree species and age group was 16.082 2 million t, 16.790 3 million t, 15.360 8 million t, respectively. When the reliability and sampling design accuracy were the same, the actual sampling accuracy results was origin>dominant tree species>age group, in which the overall biomass estimated by the dominant tree species was 16.790 3 million t which was closest to the actual biomass, and the sampling effect of estimated biomass based on the dominant tree species was better with the sampling accuracy of 96.63%. Due to the obvious advantages of small sample size and high sampling accuracy, stratified sampling could provide a method reference for regional forest biomass sampling and estimation. |
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