通过作物结构优化探索水-农业-生态联系中的权衡和协同作用
Gengran Ma1, Yunfei Fan1, Yu Hou1
1State Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing, 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei, 733000, China; Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China.
Journal of environmental management
|December 18, 2025
概括
本研究介绍了在缺水地区可持续农业的多目标优化模型. 综合优化方案平衡了经济效益,水效率和生态系统服务.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 水资源管理 水资源管理
背景情况:
- 全球日益增长的粮食需求和淡水短缺给农业系统带来压力,尤其是在干旱地区.
- 有限的研究全面地解决了用水,农业产出和生态系统服务之间的权衡问题.
- 可持续的土地管理对于平衡水资源稀缺环境中的竞争需求至关重要.
研究的目的:
- 开发和应用一个多目标优化框架 (MOWAE_CAO),整合水效率,经济效益和生态系统服务.
- 评估帕雷托作物结构优化在水-农业-生态联系的不同政策目标下.
- 为可持续农业发展确定最佳的土地分配策略.
主要方法:
- 开发了MOWAE_CAO多目标优化模型.
- 采用非主导排序基因算法II (NSGA-II) 和权托普西斯.
- 构建了四个场景:水效率,经济,生态和综合优化.
主要成果:
- 综合优化场景 (S4) 与基线相比,在所有可持续性标准上显示出平衡的改善.
- 第4场景的净经济效益增长了4.05%,生态系统服务价值增长了3.67%.
- 在综合优化方案下,玉米和春小麦的作物水生产率得到了改善.
结论:
- 集成的,数据驱动的优化有效地管理水-农业-生态联系中的权衡.
- MOWAE_CAO模型为脆弱地区的可持续土地利用规划提供了可操作的见解.
- 通过全面的优化来实现经济,水和生态目标的平衡.
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