山东省耕地土壤有机碳源汇的空间分异特征与定量评估方法

    Spatial differentiation characteristics and quantitative assessment methods of organic carbon source and sink in cropland soils of Shandong Province

    • 摘要:
      研究目的 “碳中和”战略的提出给区域土壤碳储量及源汇估算提出了更高的精度要求。现有通行计算方法基于经典统计学理论,存在随机采样假设,也没有考虑数据的空间自相关性,制约了估算精度,需要开发更加科学合理的方法流程。
      研究方法 以山东省多目标区域地球化学调查和1∶5万土地质量地球化学调查数据为例,通过理论演算和公式推导,开发了基于地统计学理论的碳源汇估算方法流程。
      研究结果 新方法要点包括:①基于“点”克里金方法获取区域碳密度及预测误差的空间分布;②使用“块”克里金方法获取区域碳储量值及其误差范围;③给出了碳密度变化量及其误差值的空间分布计算方法;④给出了碳源汇区划分方法;⑤给出了碳储量值变化量及其误差范围计算公式。案例结果显示,山东全省耕地土壤0~20 cm有机碳储量为141.15±0.30 Tg;近几十年来(2003—2020年),代表性区域旱地、水浇地、水田等耕地土壤总体上呈现显著的“碳汇效应”。
      结论 基于地统计理论的新方法没有随机采样要求,并充分利用了空间自相关信息,可以有效进行土壤碳源汇分区和源汇量计算,研究成果为土壤碳源汇计量提供了科学可行的方法流程。

       

      Abstract:
      Objective The “carbon neutrality” strategy puts forward higher precision requirements for the estimation of regional soil carbon stocks and the magnitude of carbon source or sink. The present calculation method is based on the classical statistical theory with the hypothesis of random sampling, and the spatial autocorrelation of the data is not considered. As a result, the accuracy of calculation is limited. Therefore, it is necessary to develop a more scientific and reasonable method.
      Methods Taking the multi−purpose regional geochemical survey (MPRGS) and 1∶50000 land quality geochemical survey (LQGS) data in Shandong province as an example, a new method for soil carbon source or sink estimation was developed through theoretical calculation and formula derivation based on the theory of geostatitics.
      Results Key points of the new method include: ① the spatial distribution of carbon density and its prediction error is obtained based on the punctual−kriging method; ② the block−kriging method is used to obtain the regional carbon storage with its error; ③ the method calculating the spatial change of the carbon density with its error is given; ④ the method of zoning the carbon source and sink areas is given; ⑤ the formula for calculating the amount of storage change with its error range is given. The case study showed that the 0−20 cm organic carbon storage of the cultivated land in Shandong province is 141.15±0.30 Tg. In recent decades (2003—2020), the soil of drylands, irrigated lands, and paddy fields in representative areas totally acted as carbon sinks.
      Conclusions The new method based on the geostatistical theory does not require random sampling, and the effect of spatial autocorrelation is fully considered. It can be used to define the boundary of areas for carbon source or sink and deduce it total amount effectively. This study provides a scientific and feasible method for soil carbon accounting.

       

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