从1961年到2020年,全球沉积输入到1961年至2020年全国范围的耕地
Srishti Vishwakarma1,2, Xin Zhang3, Achim Dobermann4
1University of Maryland Center for Environmental Science Appalachian Laboratory, Frostburg, MD, USA.
Scientific data
|July 26, 2023
概括
沉积对作物生产和使用效率 (NUE) 产生重大影响. 这项研究提供了重要的数据集,用于估计全球农田的输入量,有助于更好地评估NUE.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 生物地质化学生物地质化学
背景情况:
- (N) 沉积是农田的关键营养投入,影响了N预算和N使用效率 (NUE).
- 全球N沉积量测量很少,建模数据存在不确定性,限制了准确的N预算评估.
- 量化耕地上的沉积对于了解农业的可持续性和环境影响至关重要.
研究的目的:
- 在国家范围内审查用于量化沉积投入到农作物生产的方法和数据.
- 创建和验证数据集,以估计从1961年到2020年全球农田的沉积量.
- 为国家和全球NUE和N预算建模提供可靠的数据.
主要方法:
- 对现有的沉积量化方法和数据源进行系统审查.
- 利用多种数据源来估计 N 沉积投入到作物生产中.
- 将生成的估计与9个国家的14N预算数据集和测量N沉积数据进行比较.
主要成果:
- 为236个国家 (1961-2020年) 创建了四个关于耕地沉积投入的综合数据集.
- 开发的数据集在大多数国家都显示出良好的协议.
- 建议在区域到全球的N预算和NUE评估中一般使用一个数据集.
结论:
- 创建的沉积数据集增强了农业和环境研究关键数据的时空覆盖.
- 这些数据集是提高N预算和NUE建模在各种尺度上的准确性的有价值工具.
- 这些发现支持更明智的农业管理和有关使用和环境影响的政策决策.
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