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一场史无前例的秋季干旱导致美国小麦生产与拉尼娜事件相关的“尘暴”般损失。

An unprecedented fall drought drives Dust Bowl-like losses associated with La Niña events in US wheat production.

机构信息

Department of Agronomy, 2004 Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS 66506, USA.

USDA, Agricultural Research Service, Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66506, USA.

出版信息

Sci Adv. 2024 Aug 2;10(31):eado6864. doi: 10.1126/sciadv.ado6864. Epub 2024 Jul 31.

DOI:10.1126/sciadv.ado6864
PMID:39083607
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11290491/
Abstract

Unprecedented precipitation deficits in the 2022-2023 growing season across the primary wheat-producing region in the United States caused delays in winter wheat emergence and poor crop growth. Using an integrated approach, we quantitatively unraveled a 37% reduction in wheat production as being attributable to both per-harvested acre yield loss and severe crop abandonment, reminiscent of the Dust Bowl years in the 1930s. We used random forest machine learning and game theory analytics to show that the main driver of yield loss was spring drought, whereas fall drought dominated abandonment rates. Furthermore, results revealed, across the US winter wheat belt, the La Niña phase of the El Niño Southern Oscillation (ENSO), increased abandonment rates compared to the El Niño phase. These findings underscore the necessity of simultaneously addressing crop abandonment and yield decline to stabilize wheat production amid extreme climatic conditions and provide a holistic understanding of global-scale ENSO dynamics on wheat production.

摘要

2022-2023 年生长季,美国主要小麦产区的降雨量空前减少,导致冬小麦出苗延迟和作物生长不良。我们采用综合方法,定量分析发现小麦减产 37%,原因既有每公顷收获面积的产量损失,也有严重的作物弃耕,这让人联想起 20 世纪 30 年代的“尘暴”时期。我们使用随机森林机器学习和博弈论分析表明,导致产量损失的主要因素是春季干旱,而秋季干旱则主导了弃耕率。此外,研究结果表明,在美国冬小麦带,与厄尔尼诺现象相比,拉尼娜现象会使作物弃耕率上升。这些发现强调了在极端气候条件下,必须同时解决作物弃耕和产量下降问题,以稳定小麦生产,并全面了解全球厄尔尼诺南方涛动(ENSO)对小麦生产的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/3ce930b008a3/sciadv.ado6864-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/993ab969542b/sciadv.ado6864-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/4534f5bc377b/sciadv.ado6864-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/bfb2ea8b4c6b/sciadv.ado6864-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/3ce930b008a3/sciadv.ado6864-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/993ab969542b/sciadv.ado6864-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/4534f5bc377b/sciadv.ado6864-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/bfb2ea8b4c6b/sciadv.ado6864-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f6/11290491/3ce930b008a3/sciadv.ado6864-f4.jpg

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