4.7 Article

Evidence of Covid-19 lockdown effects on riverine dissolved organic matter dynamics provides a proof-of-concept for needed regulations of anthropogenic emissions

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 812, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2021.152412

Keywords

Lockdown; DOM; Carbon cycle; Riverine inputs; Arno River

Funding

  1. SNAPSHOT (Synoptic Assessment of Human Pressures on key Mediterranean Hot Spots) project - Department of Earth System Science and Environmental Technologies, CNR (Italy)
  2. European Space Agency [4000128147/19/I-DT]

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The rapid spread of the SARS-CoV-2 virus in Italy led to a 3-month lockdown of the entire country, resulting in a marked decrease in dissolved organic carbon concentration in the Arno River and coastal areas affected by its input. Additionally, the optical properties of DOM showed a shift towards smaller and less aromatic molecules during the lockdown period.
The fast spread of SARS-CoV-2 virus in Italy resulted in a 3-months lockdown of the entire country. During this period, the effect of the relieved anthropogenic activities on the environment was plainly clear all over the country. Herein, we provide the first evidence of the lockdown effects on riverine dissolved organic matter (DOM) dynamics. The strong reduction in anthropogenic activities resulted in a marked decrease in dissolved organic carbon (DOC) concentration in the Arno River (-44%) and the coastal area affected by its input (-15%), compared to previous conditions. The DOM optical properties (absorption and fluorescence) showed a change in its quality, with a shift toward smaller and less aromatic molecules during the lockdown. The reduced human activity and the consequent change in DOM dynamics affected the abundance and annual dynamics of heterotrophic prokaryotes. The results of this study highlight the extent to which DOM dynamics in small rivers is affected by secondary and tertiary human activities as well as the quite short time scales to return to the impacted conditions. Our work also supports the importance of longterm research to disentangle the effects of casual events from the natural variability.

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