Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/83552
Tipo: Artigo de Periódico
Título: Use of long-term underwater camera surveillance to assess the effects of the largest Amazonian hydroelectric dam on fish communities
Autor(es): Schmid, Kurt
Keppeler, Friedrich Wolfgang
Silva, Fabio Renan Miranda da
Santos, Jhully Helen da Silva
Franceschini, Simone
Brodersen, Jakob
Russo, Tommaso
Harvey, Euan
Reis-Filho, José Amorim
Tommaso Giarrizzo
Palavras-chave em português: Barragem hidrelétrica amazônica;Comunidade de peixes;Baited Remote Underwater Video (BRUV)
Palavras-chave em inglês: Amazonian hydroelectric dam;Fish communities;Baited Remote Underwater Video (BRUV)
Data do documento: 2024
Instituição/Editor/Publicador: Scientific Reports
Citação: SCHMID, Kurt; KEPPELER, Friedrich Wolfgang; SANTOS, Fabio Renan Miranda da Silva, Jhully Helen da; FRANCESCHINI, Simone; BRODERSEN, Jakob; RUSSO, Tommaso; HARVEY, Euan; REIS-FILHO, José Amorim; GIARRIZZO, Tommaso. Use of long-term underwater camera surveillance to assess the effects of the largest Amazonian hydroelectric dam on fish communities. Scientific Reports, v. 14, p. 1-15, 2024. Disponível em: https://doi.org/10.1038/s41598-024-70636-8. Acesso em: 25 nov. 2025.
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.
URI: http://repositorio.ufc.br/handle/riufc/83552
ISBN: 2045-2322
ORCID do(s) Autor(es): https://orcid.org/0000-0002-5116-5206
Tipo de Acesso: Acesso Aberto
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