季前玉米和小麦产量预测,用于提前警告作物失败
Weston Anderson1,2, Shraddhanand Shukla3, Jim Verdin4
1Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA. weston@umd.edu.
Nature communications
|August 23, 2024
概括
对作物失败的早期预警对于灾难准备至关重要. 这项研究表明,全球季前作物产量预测高达一年的提前技巧,有助于预期行动.
科学领域:
- 农业科学 农业科学
- 气候科学 气候科学
- 数据科学数据科学数据科学
背景情况:
- 应对灾害的计划需要提前警告作物失败.
- 目前的作物产量预测缺乏足够的交付时间 (6-12个月).
- 物流方面的挑战阻碍了及时应对灾害.
研究的目的:
- 评估全球季前作物产量预测的可行性.
- 为早期预警系统利用气候预测的进步.
- 为了确定这些预测的技能和地理范围.
主要方法:
- 利用了近期气候预测的进展.
- 开发了全球季前作物产量预测模型.
- 经过验证的预测技能在收获的耕地上.
主要成果:
- 全球季前作物产量预测高达12个月的前景.
- 玉米预测对于15%的收获面积是熟练的.
- 小麦预测对于30%的收获面积是熟练的,有些超过18个月.
- 在东南非洲,东南亚,南亚/中亚,澳大利亚和南美洲观察到的最高技能.
结论:
- 全球季前作物产量预测是可能和熟练的.
- 这些预测提供了比以前理解的更大的潜力.
- 能够改善对粮食安全的预测行动.
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