Evidence map›Paper›PMID 34923016›Full record

ArticleThe Science of the total environment2022

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

S Retelletti Brogi, G Cossarini, G Bachi, C Balestra, E Camatti, R Casotti, G Checcucci, S Colella, V Evangelista, F Falcini and 7 more

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 14 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 2 countries.

S Retelletti BrogiIstituto di Biofisica, CNR, Pisa, Italy. Electronic address: simona.retelletti@ibf.cnr.it.
G CossariniIstituto Nazionale di Oceanografia e Geofisica Sperimentale. Sgonico (TS), Italy. Electronic address: gcossarini@inogs.it.
G BachiIstituto di Biofisica, CNR, Pisa, Italy.
C BalestraIstituto Nazionale di Oceanografia e Geofisica Sperimentale. Sgonico (TS), Italy. Electronic address: cbalestra@inogs.it.
E CamattiIstituto di Biofisica, CNR, Pisa, Italy; Istituto di Scienze Marine, CNR, Venezia, Italy. Electronic address: elisa.camatti@ismar.cnr.it.
R CasottiStazione Zoologica Anton Dohrn, Napoli, Italy. Electronic address: raffa@szn.it.
G CheccucciIstituto di Biofisica, CNR, Pisa, Italy. Electronic address: giovanni.checcucci@ibf.cnr.it.
S ColellaIstituto di Scienze Marine, CNR, Roma, Italy. Electronic address: simone.colella@cnr.it.
V EvangelistaIstituto di Biofisica, CNR, Pisa, Italy. Electronic address: valtere.evangelista@ibf.cnr.it.
F FalciniIstituto di Scienze Marine, CNR, Roma, Italy. Electronic address: federico.falcini@cnr.it.
F FrancocciIstituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, CNR, Roma, Italy. Electronic address: fedra.francocci@cnr.it.
T GiorginoIstituto di Biofisica, CNR. Milano, Italy. Electronic address: toni.giorgino@cnr.it.
F MargiottaStazione Zoologica Anton Dohrn, Napoli, Italy. Electronic address: margiot@szn.it.
M Ribera d'AlcalàStazione Zoologica Anton Dohrn, Napoli, Italy; Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, CNR, Roma, Italy. Electronic address: maurizio@szn.it.
M SprovieriIstituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino, CNR. Campobello di Mazara (TP), Italy. Electronic address: Mario.sprovieri@cnr.it.
S VestriIstituto di Biofisica, CNR, Pisa, Italy. Electronic address: stefano.vestri@ibf.cnr.it.
C SantinelliIstituto di Biofisica, CNR, Pisa, Italy. Electronic address: chiara.santinelli@ibf.cnr.it.
Instituto Biofisika · ESInstitute of Marine Science · ITStazione Zoologica Anton Dohrn · ITNational Institute of Oceanography and Applied Geophysics · ITInstitute for Coastal Marine Environment · ITInstitute for the Study of Anthropic Impact and Sustainability in the Marine Environment

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 long-term research to disentangle the effects of casual events from the natural variability.

Indexed as

COVID-19Dissolved Organic MatterCommunicable Disease ControlHumansRiversSARS-CoV-2Dissolved Organic MatterArno RiverCarbon cycleDOMLockdownRiverine inputs

Identifiers

PMID34923016
PMCPMC9752488
OpenAlexW4200441163

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.