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干旱和 COVID-19 对美国农业产量的综合影响。

Compound impact of drought and COVID-19 on agriculture yield in the USA.

机构信息

Glenn Department of Civil Engineering, Clemson University, Clemson, SC, USA.

Glenn Department of Civil Engineering, Clemson University, Clemson, SC, USA.

出版信息

Sci Total Environ. 2022 Feb 10;807(Pt 1):150801. doi: 10.1016/j.scitotenv.2021.150801. Epub 2021 Oct 6.

Abstract

The resilience of agricultural systems in the face of drought has improved over the decades, but the ongoing COVID-19 pandemic presents a new and unexpected challenge to the agriculture sector. The combination of drought and COVID-19 can lead to a compounding impact on farming sectors, including crop yield. This study investigated the potential impact of drought, COVID-19, and their compound effect on three major crop yields in 2020. The analysis was carried out using the Geographically Weighted Regression (GWR) concept to model the spatially varying relationship between Standardized precipitation evaporation index (SPEI), COVID-19 incidence rate, and three crop yields (corn, soybeans, and wheat) across the counties located in the USA. The GWR model was suitable for capturing local scale crop variability, and the potential hotspots are identified where the compound effect is dominant. Although the drought in 2020 was not extreme compared to the past events, the median crop yield during 2020 for the three crop yields was lower than their historical (1980-2020) median values, which highlights the potential role of COVID-19 on reduced crop yields. The compound effect of drought and COVID-19 seem to vary in terms of crop and region wise. For example, the compound effect on corn was prominent in Central California and several counties in Midwest USA. In contrast, the effect was more in eastern South Dakota, Colorado, and more scattered for wheat.

摘要

农业系统在面对干旱时的弹性在几十年来有所提高,但持续的 COVID-19 大流行给农业部门带来了新的、意想不到的挑战。干旱和 COVID-19 的结合可能对农业部门产生叠加影响,包括作物产量。本研究调查了干旱、COVID-19 及其对 2020 年三种主要作物产量的复合影响的潜在影响。使用地理加权回归(GWR)概念对标准降水蒸散指数(SPEI)、COVID-19 发病率和三种作物产量(玉米、大豆和小麦)之间的空间变化关系进行了分析,这些产量数据分布在美国的各个县。GWR 模型适合捕获局部尺度的作物变化,确定了复合效应占主导地位的潜在热点。尽管 2020 年的干旱与过去的事件相比并不极端,但 2020 年三种作物的中位数产量低于其历史(1980-2020 年)中位数,这突出了 COVID-19 对降低作物产量的潜在作用。干旱和 COVID-19 的复合效应在作物和地区方面似乎有所不同。例如,在加利福尼亚中部和美国中西部的几个县,干旱和 COVID-19 的复合效应对玉米的影响更为显著。相比之下,在南达科他州东部、科罗拉多州等地,以及对小麦的影响更为分散。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7a0/9755809/b3c3c7db724b/ga1_lrg.jpg

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