Evidence map›Paper›PMID 39333691›Full record

ArticleScientific reports2024

Use of long-term underwater camera surveillance to assess the effects of the largest Amazonian hydroelectric dam on fish communities.

Kurt Schmid, Friedrich Wolfgang Keppeler, Fabio Renan Miranda da Silva, Jhully Helen da Silva Santos, Simone Franceschini, Jakob Brodersen, Tommaso Russo, Euan Harvey, José Amorim Reis-Filho, Tommaso Giarrizzo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Kurt Schmid *Aquatic Ecology Group, Federal University of Pará (UFPA), Belém, PA, Brazil.
Friedrich Wolfgang Keppeler *Aquatic Ecology Group, Federal University of Pará (UFPA), Belém, PA, Brazil.
Fabio Renan Miranda da SilvaAquatic Ecology Group, Federal University of Pará (UFPA), Belém, PA, Brazil.
Jhully Helen da Silva SantosAquatic Ecology Group, Federal University of Pará (UFPA), Belém, PA, Brazil.
Simone FranceschiniHawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Jakob BrodersenDepartment of Fish Ecology and Evolution, Swiss Federal Institute of Aquatic Science and Technology-Eawag, Kastanienbaum, Switzerland.
Tommaso RussoDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Euan HarveyCivil Engineering Department, Federal University of Rio Grande do Norte, Campus Universitário Lagoa Nova, Natal, Brazil.
José Amorim Reis-FilhoAquatic Ecology Group, Federal University of Pará (UFPA), Belém, PA, Brazil. amorim_agua@yahoo.com.br.
Tommaso GiarrizzoAquatic Ecology Group, Federal University of Pará (UFPA), Belém, PA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in the construction of mega dams in tropical basins is considered a threat to freshwater fish diversity. Although difficult to detect in conventional monitoring programs, rheophilic species and those reliant on shallow habitats comprise a large proportion of fish diversity in tropical basins and are among the most sensitive species to hydropower impacts. We used Baited Remote Underwater Video (BRUV), an innovative, non-invasive sampling technique, to record the impacts caused by Belo Monte, the third largest hydropower project in the world, on fishes inhabiting fast waters in the Xingu River. BRUV were set in a river stretch of ~ 240 km for 7 years, 2 before and 5 after the Belo Monte operation. We explored the spatial and temporal variation in fish diversity (α, β, and γ) and abundance (MaxN) using generalized additive models. We also investigated the variation of environmental variables and tested how much information we gained by including them in the diversity and abundance models. Belo Monte altered the flow regime, water characteristics, and fishery yield in the Xingu, resulting in changes in the fish community structure. Temporally, we observed sharp declines in α diversity and abundance, far exceeding those from a previous study conducted with more conventional sampling methods (i.e., catch-based) in the region. γ-diversity was also significantly reduced, but we observed a non-expected increase in β diversity over time. The latter may be associated with a reduction in river connectivity and an increase in environmental heterogeneity among river sectors. Unexpected signs of recovery in diversity metrics were observed in the last years of monitoring, which may be associated with the maintenance of flow levels higher than those previously planned. These results showed that BRUV can be a useful and sensitive tool to monitor the impacts of dams and other enterprises on fish fauna from clear-water rivers. Moreover, this study enhances our comprehension of the temporal variations in freshwater fish diversity metrics and discusses the prevalent assumption that a linear continuum in fish-structure damage associated with dam impoundments may exhibit temporal non-linearity.

Indexed as

BiodiversityFishesPower PlantsRiversAnimalsBrazilEcosystemEnvironmental Monitoring

Identifiers

PMID39333691
PMCPMC11436748

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.