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Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change
The 2019 novel coronavirus pandemic (COVID-19) negatively affected global public health and socioeconomic development. Lockdowns and travel restrictions to contain COVID-19 resulted in reduced human activity and decreased anthropogenic emissions. However, the secondary effects of these restrictions...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386938/ https://www.ncbi.nlm.nih.gov/pubmed/34433554 http://dx.doi.org/10.1126/sciadv.abe8044 |
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author | Su, Fenzhen Fu, Dongjie Yan, Fengqin Xiao, Han Pan, Tingting Xiao, Yang Kang, Lu Zhou, Chenghu Meadows, Michael Lyne, Vincent Wilson, John P. Zhao, Na Yang, Xiaomei Liu, Gaohuan |
author_facet | Su, Fenzhen Fu, Dongjie Yan, Fengqin Xiao, Han Pan, Tingting Xiao, Yang Kang, Lu Zhou, Chenghu Meadows, Michael Lyne, Vincent Wilson, John P. Zhao, Na Yang, Xiaomei Liu, Gaohuan |
author_sort | Su, Fenzhen |
collection | PubMed |
description | The 2019 novel coronavirus pandemic (COVID-19) negatively affected global public health and socioeconomic development. Lockdowns and travel restrictions to contain COVID-19 resulted in reduced human activity and decreased anthropogenic emissions. However, the secondary effects of these restrictions on the biophysical environment are uncertain. Using remotely sensed big data, we investigated how lockdowns and traffic restrictions affected China’s spring vegetation in 2020. Our analyses show that travel decreased by 58% in the first 18 days following implementation of the restrictions across China. Subsequently, atmospheric optical clarity increased and radiation levels on the vegetation canopy were augmented. Furthermore, the spring of 2020 arrived 8.4 days earlier and vegetation 17.45% greener compared to 2015–2019. Reduced human activity resulting from COVID-19 restrictions contributed to a brighter, earlier, and greener 2020 spring season in China. This study shows that short-term changes in human activity can have a relatively rapid ecological impact at the regional scale. |
format | Online Article Text |
id | pubmed-8386938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83869382021-08-31 Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change Su, Fenzhen Fu, Dongjie Yan, Fengqin Xiao, Han Pan, Tingting Xiao, Yang Kang, Lu Zhou, Chenghu Meadows, Michael Lyne, Vincent Wilson, John P. Zhao, Na Yang, Xiaomei Liu, Gaohuan Sci Adv Research Articles The 2019 novel coronavirus pandemic (COVID-19) negatively affected global public health and socioeconomic development. Lockdowns and travel restrictions to contain COVID-19 resulted in reduced human activity and decreased anthropogenic emissions. However, the secondary effects of these restrictions on the biophysical environment are uncertain. Using remotely sensed big data, we investigated how lockdowns and traffic restrictions affected China’s spring vegetation in 2020. Our analyses show that travel decreased by 58% in the first 18 days following implementation of the restrictions across China. Subsequently, atmospheric optical clarity increased and radiation levels on the vegetation canopy were augmented. Furthermore, the spring of 2020 arrived 8.4 days earlier and vegetation 17.45% greener compared to 2015–2019. Reduced human activity resulting from COVID-19 restrictions contributed to a brighter, earlier, and greener 2020 spring season in China. This study shows that short-term changes in human activity can have a relatively rapid ecological impact at the regional scale. American Association for the Advancement of Science 2021-08-25 /pmc/articles/PMC8386938/ /pubmed/34433554 http://dx.doi.org/10.1126/sciadv.abe8044 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Su, Fenzhen Fu, Dongjie Yan, Fengqin Xiao, Han Pan, Tingting Xiao, Yang Kang, Lu Zhou, Chenghu Meadows, Michael Lyne, Vincent Wilson, John P. Zhao, Na Yang, Xiaomei Liu, Gaohuan Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change |
title | Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change |
title_full | Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change |
title_fullStr | Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change |
title_full_unstemmed | Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change |
title_short | Rapid greening response of China’s 2020 spring vegetation to COVID-19 restrictions: Implications for climate change |
title_sort | rapid greening response of china’s 2020 spring vegetation to covid-19 restrictions: implications for climate change |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386938/ https://www.ncbi.nlm.nih.gov/pubmed/34433554 http://dx.doi.org/10.1126/sciadv.abe8044 |
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