Evidence map›Paper›PMID 35448443›Full record

ArticleToxics2022

Connections among Land Use, Water Quality, Biodiversity of Aquatic Invertebrates, and Fish Behavior in Amazon Rivers.

Rodrigo Silva de Sousa, Gilmar Clemente Silva, Thiago Bazzan, Fernando de la Torre, Caroline Nebo, Diógenes Henrique Siqueira-Silva, Sheila Cardoso-Silva, Marcelo Luiz Martins Pompêo, Teresa Cristina Brazil de Paiva, Flávio Teixeira da Silva and 1 more

Open access · goldAbstract read
In one paragraph

Article in Toxics, 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
1.8field-weighted citation impact, top 16% 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, 7 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

11 authors at 5 institutions in 2 countries.

Rodrigo Silva de SousaInstitute of Xingu Studies, Federal University of Southern and Southeastern Pará, São Félix do Xingu 68380-000, Pará, Brazil.
Gilmar Clemente SilvaPostgraduate Program in Environmental Technology, Fluminense Federal University, Volta Redonda 27255-125, Rio de Janeiro, Brazil.
Thiago BazzanEarth Observation and Geoinformatics Division, National Institute for Space Research, São José dos Campos 12227-900, São Paulo, Brazil.
Fernando de la TorreInstitute of Ecology and Sustainable Development, National University of Lujan, Buenos Aires 6700, Argentina.ORCID 0000-0002-9405-2228
Caroline NeboInstitute of Studies of the Humid Tropics, Federal University of Southern and Southeastern Pará, Xinguara 68555-016, Pará, Brazil.
Diógenes Henrique Siqueira-SilvaInstitute of Health and Biological Studies, Federal University of Southern and Southeastern Pará, Marabá 68507-590, Pará, Brazil.ORCID 0000-0001-8569-474X
Sheila Cardoso-SilvaInstitute of Oceanography, University of São Paulo, São Paulo 05508-120, São Paulo, Brazil.ORCID 0000-0002-5210-1984
Marcelo Luiz Martins PompêoDepartment of Ecology, University of São Paulo, São Paulo 05508-090, São Paulo, Brazil.
Teresa Cristina Brazil de PaivaDepartment of Biotechnology, Engineering School of Lorena, University of São Paulo, Lorena 12602-810, São Paulo, Brazil.
Flávio Teixeira da SilvaDepartment of Biotechnology, Engineering School of Lorena, University of São Paulo, Lorena 12602-810, São Paulo, Brazil.
Daniel Clemente Vieira Rêgo da SilvaInstitute of Exact Sciences, Federal University of Southern and Southeastern Pará, Marabá 68507-590, Pará, Brazil.ORCID 0000-0001-8800-7909
Universidade de São Paulo · BRUniversidade Federal do Sul e Sudeste do Pará · BRInstituto Nacional de Pesquisas Espaciais · BRNational University of Luján · ARUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rivers in the Amazon have among the greatest biodiversity in the world. The Xingu River, one of the tributaries of the Amazon River, has a length of 1640 km, draining 510,000 km2 in one of the most protected regions on the planet. The Middle Xingu region in Brazil has been highly impacted by mining and livestock farming, leading to habitat fragmentation due to altered water quality. Therefore, comparing two rivers (the preserved Xingu River and the impacted Fresco River) and their confluence, the aims of the present study were to (1) assess the land uses in the hydrographic basin; (2) determine the water quality by measurements of turbidity, total solids, and metals (Cd, Cu, Fe, Mn, Pb, Zn, and Hg); (3) compare the zooplankton biodiversity; and (4) to evaluate the avoidance behavior of fish (Astyanax bimaculatus) when exposed to waters from the Xingu and Fresco Rivers. Zooplankton were grouped and counted down to the family level. For the analysis of fish avoidance, a multi-compartment system was used. The forest class predominated at the study locations, accounting for 57.6%, 60.8%, and 63.9% of the total area at P1XR, P2FR, and P3XFR, respectively, although since 1985, at the same points, the forest had been reduced by 31.3%, 25.7%, and 27.9%. The Xingu River presented almost 300% more invertebrate families than the Fresco River, and the fish population preferred its waters (>50%). The inputs from the Fresco River impacted the water quality of the Xingu River, leading to reductions in local invertebrate biodiversity and potential habitats for fish in a typical case of habitat fragmentation due to anthropic factors.

Indexed as

aquatic biodiversityfish habitatshabitat fragmentationnon-forced exposurewater pollution

Identifiers

PMID35448443
PMCPMC9031983
OpenAlexW4224316231

What OpenQuestion holds

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LicenceCC BY
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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.