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Soil Organic Carbon Density in Hebei Province, China:Estimates and Uncertainty

机译:中国河北省土壤有机碳密度的估算与不确定性

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摘要

In order to improve the precision of soil organic carbon (SOC) estimates, the sources of uncertainty in soil organic carbon density (SOCD) estimates and SOC stocks were examined using 363 soil profiles in Hebei Province, China, with three methods: the soil profile statistics (SPS), GIS-based soil type (GST), and kriging interpolation (KI). The GST method, utilizing both pedological professional knowledge and GIS technology, was considered the most accurate method of the three estimations, with SOCD estimates for SPS 10% lower and KI 10% higher. The SOCD range for GST was 84% wider than KI as KI smoothing effect narrowed the SOCD range. Nevertheless, the coefficient of variation for SOCD with KI (41.7%) was less than GST and SPS. Comparing SOCD's lower estimates for SPS versus GST, the major sources of uncertainty were the conflicting area of proportional relations. Meanwhile, the fewer number of soil profiles and the necessity of using the smoothing effect with KI were its sources of uncertainty. Moreover, for local detailed variations of SOCD, GST was more advantageous in reflecting the distribution pattern than KI.
机译:为了提高土壤有机碳(SOC)估算的准确性,使用三种方法对中国河北省的363个土壤剖面进行了调查,探讨了土壤有机碳密度(SOCD)估算和SOC存量的不确定性来源:统计数据(SPS),基于GIS的土壤类型(GST)和克里格插值(KI)。 GST方法结合了教育学专业知识和GIS技术,被认为是这三种估算中最准确的方法,其中SOCD估算的SPS降低10%,KI估算高10%。 GST的SOCD范围比KI宽84%,因为KI平滑效果缩小了SOCD范围。然而,KI占SOCD的变异系数(41.7%)小于GST和SPS。比较SOCD对SPS和GST的较低估算,不确定性的主要来源是比例关系的冲突区域。同时,土壤剖面的数量较少以及对KI使用平滑效果的必要性是其不确定性的来源。此外,对于SOCD的局部详细变化,GST在反映分布方式方面比KI更有利。

著录项

  • 来源
    《土壤圈(英文版)》 |2005年第3期|293-300|共8页
  • 作者单位

    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences,Nanjing 210008 China;

    Graduate School of Chinese Academy of Sciences, Beijing 100039 China;

    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences,Nanjing 210008 China;

    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences,Nanjing 210008 China;

    School of Agricultural and Forest Sciences, University of Wales, Bangor UK;

    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences,Nanjing 210008 China;

    Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 土壤学;
  • 关键词

    professional pedological knowledge-based database (PKD); soil organic carbon (SOC); soil profile database (SPD); soil profile statistics (SPS); uncertainty;

    机译:专业的基于学问知识的数据库(PKD);土壤有机碳(SOC);土壤剖面数据库(SPD);土壤剖面统计(SPS);不确定性;
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