The soil erodibility factor () is the main data required for regional soil erosion investigation and mapping using soil erosion models. Fine mapping of and the study of the applicability of different estimation methods at the global scale are important to improve the accuracy of global soil erosion evaluation. In this study, the USLE-K, RUSLE2-K, EPIC-K and Dg-K algorithms were used to calculate and compare the global , and a global measured database was established by using literature backtracking method and retrieval tool method. Spatial pattern and applicability analysis were carried out on the results of the above four algorithms. The four algorithms were corrected according to the measured database. The results showed that (1) the global spatial patterns obtained by the four algorithms were similar but slightly different, with the result of RUSLE2-K being the closest to the measured , followed by the USLE-K and the EPIC-K, and the result of Dg-K differing significantly from the measured . (2) The global distribution characteristics showed some regularity with soil properties, such as soil silt content and sand content, with silt content having the greatest influence on . (3) The results calculated by the corrected RUSLE2-K and USLE-K algorithms could meet the model applicability conditions and coincided with the results of local mapping. The results of mapping in this study on a global scale and the results of the comparative analysis of the applicability of different algorithms provide the necessary scientific basis for the selection of algorithms globally and quantitative evaluation of soil erosion.

中文翻译：

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全球土壤可蚀性因子（K）作图及算法适用性分析

土壤可蚀性因子（）是利用土壤侵蚀模型进行区域土壤侵蚀调查和制图所需的主要数据。全球尺度精细制图和研究不同估算方法的适用性对于提高全球土壤侵蚀评价的准确性具有重要意义。本研究采用USLE-K、RUSLE2-K、EPIC-K和Dg-K算法对全局 进行计算和比较，并利用文献回溯法和检索工具方法建立全局测量数据库。对上述四种算法的结果进行了空间格局和适用性分析。根据实测数据库对四种算法进行了修正。结果表明：（1）四种算法得到的全局空间格局相似但略有不同，其中RUSLE2-K的结果最接近实测，其次是USLE-K和EPIC-K， Dg-K 的结果与测量值显着不同。 (2)全球分布特征与土壤含泥量、含沙量等土壤性质呈现一定规律，其中含泥量对 的影响最大。 (3)修正后的RUSLE2-K和USLE-K算法计算结果满足模型适用条件，与局部制图结果吻合。本研究在全球范围内的制图结果以及不同算法适用性的对比分析结果为全球范围内算法的选择和土壤侵蚀的定量评价提供了必要的科学依据。