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在温带农田进行长期实验的数据,以评估土壤有机碳模型

Kenji Fujisaki¹, Fabien Ferchaud^2,3, Hugues Clivot⁴

¹INRAE, Info&Sols, 45075, Orléans, France. kenji.fujisaki@inrae.fr.

Scientific data

|February 19, 2026

概括

这项研究提出了来自34个长期实验的新数据集,用于评估土壤有机碳 (SOC) 模型. 这些数据可以使用现场测量对RothC和Century等模型进行独立验证.

科学领域:

农业科学农业科学
土壤科学土壤科学
环境科学环境科学

背景情况:

土壤有机碳 (SOC) 模型需要使用现场数据进行强有力的验证.
公共可用和协调的现场测量用于SOC模型评估是稀缺的.

研究的目的:

编制和共享从长期实验 (LTEs) 来进行SOC模型评估的综合数据集.
通过使用一致的现场数据,促进各种SOC模型的独立评估.

主要方法:

收集了来自温带农田的34个LTEs的167个农学处理的数据.
综合气候,土壤特性,作物/修改碳输入,灌,土壤覆盖和SOC库存测量.
使用产量数据,收获指数和全米系数计算作物碳输入量.

主要成果:

现在可以获得一套统一的数据集,包括1328个SOC库存测量和4588个作物碳输入记录.
该数据集支持对多个SOC模型的评估,包括RothC,Century,AMG,MIMICS,ICBM,Millenial和CTOOL.
方法元数据和附带代码增强了数据的可用性和模型评估.

结论:

共享数据集为验证和改进SOC模型提供了宝贵的资源.
能够对单个SOC模型和组合模型性能进行比较分析.
促进在农业系统中更准确地预测土壤碳动态.

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