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Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States
It is without question that the COVID-19 pandemic has taken its toll on the U.S. economy. Stay-at-home orders led to reduced vehicular traffic and widespread declines in anthropogenic emissions (e.g., nitrogen oxides (NO(x))). This study is the first to explore the potential consequences of O(3) cha...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400584/ https://www.ncbi.nlm.nih.gov/pubmed/37537213 http://dx.doi.org/10.1038/s41598-023-39531-6 |
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author | Christopoulos, Julianna Tong, Daniel Campbell, Patrick C. Ma, Siqi |
author_facet | Christopoulos, Julianna Tong, Daniel Campbell, Patrick C. Ma, Siqi |
author_sort | Christopoulos, Julianna |
collection | PubMed |
description | It is without question that the COVID-19 pandemic has taken its toll on the U.S. economy. Stay-at-home orders led to reduced vehicular traffic and widespread declines in anthropogenic emissions (e.g., nitrogen oxides (NO(x))). This study is the first to explore the potential consequences of O(3) changes resulting from the economic shutdown in the United States on soybean crop yields for 2020. The pandemic’s impact on surface O(3) is quantified using the NOAA’s National Air Quality Forecasting Capability (NAQFC), which is based on the Community Multi-Scale Air Quality (CMAQ) model for May–July 2020. The “would-be”, 2020 level business-as-usual (BAU) emissions are compared to a simulation that uses representative COVID-19 (C19) emissions. For each emissions scenario, crop exposures are calculated using the AOT40 cumulative exposure index and then combined with county-level soybean production totals to determine regional yield losses. Exposure changes ranged between – 2 and 2 ppmVhr(−1). It was further shown that increased exposures (0.5 to 1.10 ppmVhr(−1)) in the Southeast U.S. counteracted decreased exposures (0.8 to 0.5 ppmVhr(−1)) in the other soybean-producing regions. As a result, corresponding yield improvements counteracted yield losses around the Mississippi River Valley and allowed for minimal improvements in soybean production loss totaling $6.5 million over CONUS. |
format | Online Article Text |
id | pubmed-10400584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104005842023-08-05 Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States Christopoulos, Julianna Tong, Daniel Campbell, Patrick C. Ma, Siqi Sci Rep Article It is without question that the COVID-19 pandemic has taken its toll on the U.S. economy. Stay-at-home orders led to reduced vehicular traffic and widespread declines in anthropogenic emissions (e.g., nitrogen oxides (NO(x))). This study is the first to explore the potential consequences of O(3) changes resulting from the economic shutdown in the United States on soybean crop yields for 2020. The pandemic’s impact on surface O(3) is quantified using the NOAA’s National Air Quality Forecasting Capability (NAQFC), which is based on the Community Multi-Scale Air Quality (CMAQ) model for May–July 2020. The “would-be”, 2020 level business-as-usual (BAU) emissions are compared to a simulation that uses representative COVID-19 (C19) emissions. For each emissions scenario, crop exposures are calculated using the AOT40 cumulative exposure index and then combined with county-level soybean production totals to determine regional yield losses. Exposure changes ranged between – 2 and 2 ppmVhr(−1). It was further shown that increased exposures (0.5 to 1.10 ppmVhr(−1)) in the Southeast U.S. counteracted decreased exposures (0.8 to 0.5 ppmVhr(−1)) in the other soybean-producing regions. As a result, corresponding yield improvements counteracted yield losses around the Mississippi River Valley and allowed for minimal improvements in soybean production loss totaling $6.5 million over CONUS. Nature Publishing Group UK 2023-08-03 /pmc/articles/PMC10400584/ /pubmed/37537213 http://dx.doi.org/10.1038/s41598-023-39531-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Christopoulos, Julianna Tong, Daniel Campbell, Patrick C. Ma, Siqi Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States |
title | Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States |
title_full | Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States |
title_fullStr | Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States |
title_full_unstemmed | Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States |
title_short | Impacts of the COVID-19 economic slowdown on soybean crop yields in the United States |
title_sort | impacts of the covid-19 economic slowdown on soybean crop yields in the united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400584/ https://www.ncbi.nlm.nih.gov/pubmed/37537213 http://dx.doi.org/10.1038/s41598-023-39531-6 |
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