Evidence map›Paper›PMID 34647214›Full record

ArticleEnvironmental science and pollution research international2022

The combination of chemical, structural, and functional indicators to evaluate the anthropogenic impacts on agricultural stream ecosystems.

Jérémy Jabiol, Eric Chauvet, François Guérold, Jonathan Bouquerel, Philippe Usseglio-Polatera, Joan Artigas, Christelle Margoum, Matthieu Le Dréau, Aurélie Moreira, Nicolas Mazzella and 1 more

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 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
0.4field-weighted citation impact, top 39% 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, 6 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 7 institutions in 1 country.

Jérémy JabiolHYFE (Hydrobiologie Et Fonctionnement Des Ecosystèmes), Elven, France. jeremy.jabiol@gmail.com.
Eric ChauvetLaboratoire Ecologie Fonctionnelle et Environnement, Université de Toulouse, CNRS, INPT, Toulouse, France.
François GuéroldLIEC (Laboratoire Interdisciplinaire Des Environnements Continentaux), Université de Lorraine, CNRS, Metz, France.
Jonathan BouquerelLIEC (Laboratoire Interdisciplinaire Des Environnements Continentaux), Université de Lorraine, CNRS, Metz, France.
Philippe Usseglio-PolateraLIEC (Laboratoire Interdisciplinaire Des Environnements Continentaux), Université de Lorraine, CNRS, Metz, France.
Joan ArtigasLaboratoire Microorganismes : Génome Et Environnement (LMGE), Université Clermont Auvergne, CNRS, Clermont-Ferrand, France.
Christelle MargoumRiverLy, INRAE, Villeurbanne, France.
Matthieu Le DréauRiverLy, INRAE, Villeurbanne, France.
Aurélie MoreiraEABX, INRAE, Bordeaux, France.
Nicolas MazzellaEABX, INRAE, Bordeaux, France.
Véronique GouyRiverLy, INRAE, Villeurbanne, France.
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversité de Lorraine · FRCentre National de la Recherche Scientifique · FRForum Réfugiés - Cosi · FRInstitut National Polytechnique de Toulouse · FRLaboratoire Interdisciplinaire des Environnements Continentaux · FRLaboratoire Microorganismes Génome et Environnement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Freshwater contamination by pesticides in agricultural landscapes is of increasing concern worldwide, with strong pesticide impacts on biodiversity, ecosystem functions, and ultimately human health (drinking water, fishing). In addition, the excessively large number of substances, as well as their low - and temporally variable - concentrations in water, make the chemical monitoring by grab sampling very demanding and not fully representative of the actual contamination. Tools that integrate temporal variations and that are ecologically relevant are clearly needed to improve the monitoring of freshwater contamination and assess its biological effects. Here, we studied pesticide contamination and its biological impacts in 10 stream sections (sites) belonging to 3 agricultural catchments in France. In each site, we deployed a combination of pesticide integrative samplers, biocenotic indicators based on benthic macroinvertebrates, and functional indicators based on leaf litter decomposition and associated fungal communities. The 3 approaches largely proved complementary: structural and functional indicators did not respond equally to different agricultural impacts such as pesticide contamination (as revealed by integrative samplers), nutrients, or oxygen depletion. Combining chemical, structural, and functional indicators thus seems an excellent strategy to provide a comprehensive picture of agricultural impacts on stream ecosystems.

Indexed as

PesticidesWater Pollutants, ChemicalAnthropogenic EffectsEcosystemEnvironmental MonitoringHumansRiversPesticidesWater Pollutants, ChemicalAquatic hyphomycetesBiomonitoringI2M2Litter decompositionPassive integrative samplingPesticidesSporulationStreams

Identifiers

PMID34647214
OpenAlexW3207379362

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.