农业管理实践的时空空间协同优化,以实现气候智能作物生产
Liujun Xiao1,2, Guocheng Wang3, Enli Wang4
1College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Nature food
|January 3, 2024
概括
优化农业中的肥料,灌和废物管理可以显著减少资源使用和温室气体排放. 这项研究提出了一种新的方法,用于北中国平原的气候智能农业.
科学领域:
- 农业科学 农业科学
- 气候科学 气候科学
- 环境科学 环境科学
背景情况:
- 气候智能农业需要优化多种管理实践.
- 气候,作物和土壤之间的复杂相互作用带来了挑战.
- 当前的做法可能不是最佳的可持续性.
研究的目的:
- 为了在空间和时间上共同优化肥料,灌和废物管理.
- 实现小麦和玉米的产量潜力,同时最大限度地减少温室气体排放.
- 为北中国平原的特定场地管理制定一个基准.
主要方法:
- 混合方法结合了农业系统建模,机器学习和生命周期评估.
- 肥料,灌和废物管理的时空空间协同优化.
- 分析历史时期 (1995-2014) 和预期时期 (2051-2070).
主要成果:
- 历史最佳的肥料和灌率低于当前的做法.
- 预计肥料,灌水和残留物输入量分别减少16%,19%和20%.
- 通过优化实践实现了大幅减少温室气体排放.
结论:
- 多种农业管理实践的时空共优化是可行的和有效的.
- 优化实践带来了显著的资源节约和环境效益.
- 管理实践的数字绘图可以指导特定地点的农业管理.
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