一个多模型组合揭示了美国中西部农田的再生实践对气候的净益处
Bruno Basso1,2,3, Tommaso Tadiello4, Neville Millar5
1Department of Earth and Environmental Sciences, Michigan State University, East Lansing, 48824, USA. basso@msu.edu.
Scientific reports
|July 11, 2025
概括
无耕作和覆盖作物等再生农业实践显著促进了土壤有机碳 (SOC) 捕获. 这项多模型组合研究量化了这些做法在美国中西部地区的气候减缓潜力.
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:
- 作物系统模型 (CSM) 对于碳市场验证至关重要,但在不同的条件下表现出变化.
- 多模组合 (Multi-model ensembles,MME) 可以改善农业实践产生的土壤有机碳 (SOC) 和氧化 (N2O) 排放的估计.
研究的目的:
- 通过使用MME评估再生实践在封存SOC和减少N2O排放方面的有效性.
- 为了比较MME与单个CSM和长期试验的表现.
主要方法:
- 在美国中西部4600万公的农田中,在4平方公里的分辨率下,应用了CSM的MME.
- 与基线情景相比,MME在各种再生实践下模拟了SOC库存和N2O排放.
- 模型性能与长期实验数据进行了验证.
主要成果:
- 无耕作与覆盖作物相结合,使SOC库存增加了0.36 ± 0.12 Mg ha-1 yr-1,导致区域收益为16.4 Tg C yr-1.
- 单个实践产生了一半的SOC效益,在初始碳含量低的土壤中观察到最大的收益.
- 考虑到N2O排放,净气候效益从0到3Mg CO2-eq ha-1 yr-1不等,因实践和地点而异.
结论:
- 货币市场企业提供了更准确,更不确定的估计,从再生农业减缓气候变化潜力.
- 这些发现可以减少碳市场参与的障碍,并支持大规模采用再生农业.
- 再生实践通过碳捕获和减少排放为缓解气候变化提供了重大潜力.
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