通过优化中国的作物分布,提高未来的农业可持续性
Qi Guan1,2,3, Jing Tang4,5, Kyle Frankel Davis6,7
1State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135, China.
PNAS nexus
|January 8, 2025
概括
在中国优化作物选择可以使农业产量增长14.1%,并大幅减少对环境的影响. 这一战略通过智能作物切换来减少泄露和用水量,提高了可持续性.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 适应气候变化 适应气候变化
背景情况:
- 中国的农业面临着高投入使用和环境退化等挑战.
- 现有的农业可持续发展目标战略需要进一步探索作物转换.
- 气候变化对作物生产和可持续性的影响是一个关键问题.
研究的目的:
- 优化作物作物模式,以提高农业生产,减少中国对环境的影响.
- 在各种未来气候变化场景下评估作物转换的潜力.
- 通过不同的共享社会经济路径实现可持续的受精实践.
主要方法:
- 裁剪模式的空间优化.
- 在三个代表性的共享社会经济路径 (SSP) 下建模.
- 分析作物生产,泄漏,灌用水和施肥率.
主要成果:
- 最佳的作物分配建议从玉米和大麻转向其他作物,如大米,小麦,大豆,花生和土豆.
- 预计转换作物将使整体作物产量增加14.1%.
- 预计环境影响将大大减少:化为8.2%,灌用水为24.0%.
结论:
- 转换作物为改善中国农业可持续性提供了巨大的好处.
- 有效的肥料管理与环境保护的作物转换至关重要.
- 这些战略对于应对未来的气候变化和实现可持续农业目标至关重要.
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