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作 者:白冰 刘长峰 赵婧文 胡理乐 张鹏骞 BAI Bing;LIU Changfeng;ZHAO Jingwen;HU Lile;ZHANG Pengqian(Institute of Resources and Environment,Beijing Academy of Science and Technology,Beijing 100089,China;Beijing Qingyuan Eco-environmental Co.,LTD.,Beijing 102200,China;Academy of Forestry Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China;Beijing Biodiversity Conservation Research Center,Beijing 100076,China;Beijing Gardening and Greening Bureau,Beijing 100013,China)
机构地区:[1]北京市科学技术研究院资源环境研究所,北京100089 [2]北京青远生态环境有限公司,北京102200 [3]国家林业和草原局调查规划设计院,北京100714 [4]北京生物多样性保护研究中心,北京100076 [5]北京市园林绿化局,北京100013
出 处:《林业调查规划》2023年第2期1-8,共8页Forest Inventory and Planning
基 金:国家自然科学基金项目(41103041)。
摘 要:以样品采集和质量控制模式(SAX)为指导,通过合理的采样设计和数据分析方法,估算若尔盖泥炭地土壤表层有机碳储量的估计值及其置信区间,并使用Robust方差分析进行定量化的误差分析,计算4类误差来源(样地间差异、采样深度、样地内差异和样品测定)的误差贡献率。结果表明,若尔盖泥炭地表层土壤有机碳储量估计值为43.21 kt/km2,其99%置信区间为40.08~46.33 kt/km2;误差分析结果表明,误差大部分来自样地间差异(贡献率为61.63%),远大于其他3类来源(采样深度:24.82%;样地内:10.85%;测定误差:2.70%);温度是最主要的样地间误差来源(贡献率为24.13%),降水和人为干扰也是重要的样地间误差来源(贡献率分别为21.02%和17.08%)。Guided by the Sampling and Analytical Quality Control Scheme(SAX),through reasonable sampling design and data analysis methods,the estimated value and confidence interval of organic carbon storage in in Zoige peatland were estimated,and the quantitative error analysis was carried out by the Robust variance analysis to calculate the error contribution rate of four types of error sources(inter sample difference,sampling depth,intra sample difference and sample measuring).The results showed that the estimated surface soil organic carbon storage of Zoige peatland was 43.21 kt/km 2,and the 99%confidence interval was 40.08~46.33 kt/km 2.The error analysis results showed that most of the errors came from the inter sample difference(the contribution rate was 61.63%),which was larger than the other three sources(sampling depth:24.82%,intra sample:10.85%,measuring error:2.70%).Temperature was the main source of inter sample error(contribution rate was 24.13%),precipitation and human disturbance were also important sources of inter sample error(contribution rate was 21.02%and 17.08%,respectively).
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