Evidence map›Paper›PMID 33039790›Full record

ArticleMarine pollution bulletin2020

Using Copernicus Sentinel-2 and Sentinel-3 data to monitor harmful algal blooms in Southern Chile during the COVID-19 lockdown.

Cristina V Rodríguez-Benito, Gabriel Navarro, Isabel Caballero

Abstract read
In one paragraph

Article in Marine pollution bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Unveiling the 2017Microorganisms · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Prioritizing conservation in sub-Saharan African lakes based on freshwater biodiversity and algal bloom metrics.Conservation biology : the journal of the Society for Conservation Biology · 2022
    Article
  9. The role of remote sensing during a global disaster: COVID-19 pandemic as case study.Remote sensing applications : society and environment · 2022
    Review
  10. Review
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

3 authors.

Cristina V Rodríguez-BenitoMariscope Ingeniería, Puerto Montt, Chile.
Gabriel NavarroInstituto de Ciencias Marinas de Andalucía (ICMAN), Consejo Superior de Investigaciones Científicas (CSIC), Puerto Real 11510, Cádiz, Spain.
Isabel CaballeroInstituto de Ciencias Marinas de Andalucía (ICMAN), Consejo Superior de Investigaciones Científicas (CSIC), Puerto Real 11510, Cádiz, Spain. Electronic address: Isabel.caballero@icman.csic.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the southern summer of 2020, large phytoplankton blooms were detected using satellite technology in Chile (western Patagonia), where intensive salmonid aquaculture is carried out. Some harvesting sites recorded massive fish mortalities, which were associated with the presence of the dinoflagellate species Cochlodinium sp. The bloom included other phytoplankton species, as Lepidodinium chlorophorum, which persistently changed the colour of the ocean to green. These blooms coincided with the government-managed emergency lockdown due to the COVID-19 pandemic. Local in situ sampling was slowed down. However, imagery from the Copernicus programme allowed operational monitoring. This study shows the benefits of both Sentinel-3 and Sentinel-2 satellites in terms of their spectral, spatial and temporal capabilities for improved algal bloom monitoring. These novel tools, which can foster optimal decision-making, are available for delivering early alerts in situations of natural catastrophes and blockages, such as those occurred during the global COVID-19 lockdown.

Indexed as

COVID-19DinoflagellidaAnimalsChileHarmful Algal BloomHumansPandemicsPhytoplanktonSARS-CoV-2Copernicus programmeCOVID-19 lockdownDinoflagellatesHarmful algal bloomsRemote sensingSalmonid aquaculture

Identifiers

PMID33039790
PMCPMC7544481

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.