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中国耕地中的土壤有机碳变化:基于DNDC模型的新估计

Wuhan Ding¹, Naijie Chang², Guilong Zhang³

¹Institute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China.

The Science of the total environment

|September 17, 2023

概括

在2003年至2020年期间,中国的耕地从土壤有机碳 (SOC) 损失转变为碳汇. 这项研究量化了SOC储存,并突出了农田进一步碳捕集的潜力.

科学领域:

农业科学农业科学
环境科学环境科学
气候科学气候科学

背景情况:

耕地中的土壤有机碳 (SOC) 对陆地碳储量和气候变化缓解至关重要.
中国的耕地SOC对于环境健康和国家粮食安全至关重要,但其变化仍在争论中.
之前的研究用DNDC模型量化了2003年中国的耕地SOC库存.

研究的目的:

为2020年中国的耕地建立一个更新的县级DNDC数据库.
用DNDC模型评估SOC储存和中国农田的时间变化.
提高中国农田SOC估计的准确性.

主要方法:

为2020年中国的耕地开发一个新的县级DNDC数据库.
应用验证的DNDC模型来模拟SOC存储和密度.
对2003年和2020年的SOC数据进行比较分析,以评估时间变化.

主要成果:

2020年中国的农田SOC储存平均为6.02 Pg C (0-30厘米深),东北地区的贡献为23%.
平均SOC密度为49.65t C ha-1 ,范围从18.55到152.57t C ha-1.1之间.
中国的耕地从2003年的SOC净损失过渡到2020年的碳汇,SOC密度和储存大幅增加.

结论:

尽管增加了,但中国的耕地在SOC密度方面显示出显著的空间异质性,这表明碳捕获潜力很大.
东北地区,虽然自2003年以来出现了SOC损失,但仍保持了最高的SOC平均密度.
这些发现支持中国通过加强土壤碳管理来实现粮食安全和碳中和的战略.

关键词:

中国中国中国中国.农田是农作物种植的土地.在 DNDCDC 中,您可以使用 DNDC.土壤有机碳土壤有机碳

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