Evidence map›Paper›PMID 28721624›Full record

ArticleEnvironmental science and pollution research international2017

On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level.

Ali Fadel, Bruno J Lemaire, Brigitte Vinçon-Leite, Ali Atoui, Kamal Slim, Bruno Tassin

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In one paragraph

Article in Environmental science and pollution research international, 2017. 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
2.8field-weighted citation impact, top 11% 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, 42 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

6 authors at 2 institutions in 2 countries.

Ali FadelNational Center for Remote Sensing, National Council for Scientific Research, P.O. Box 11-8281, Riad El Solh, Beirut, 1107 2260, Lebanon. afadel@cnrs.edu.lb.ORCID http://orcid.org/0000-0001-9986-0892
Bruno J LemaireUniversité Paris-Est, LEESU, UPEC, Ecole des Ponts ParisTech, AgroParisTech, F-77455, Marne-la-Vallée, France.
Brigitte Vinçon-LeiteUniversité Paris-Est, LEESU, UPEC, Ecole des Ponts ParisTech, AgroParisTech, F-77455, Marne-la-Vallée, France.
Ali AtouiLaboratory of Microorganisms and Food Irradiation, Lebanese Atomic Energy Commission-CNRS, P.O. Box 11-8281, Riad El Solh, Beirut, 1107 2260, Lebanon.
Kamal SlimLaboratory of Microorganisms and Food Irradiation, Lebanese Atomic Energy Commission-CNRS, P.O. Box 11-8281, Riad El Solh, Beirut, 1107 2260, Lebanon.
Bruno TassinUniversité Paris-Est, LEESU, UPEC, Ecole des Ponts ParisTech, AgroParisTech, F-77455, Marne-la-Vallée, France.
École nationale des ponts et chaussées · FRNational Council for Scientific Research · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many freshwater bodies worldwide that suffer from harmful algal blooms would benefit for their management from a simple ecological model that requires few field data, e.g. for early warning systems. Beyond a certain degree, adding processes to ecological models can reduce model predictive capabilities. In this work, we assess whether a simple ecological model without nutrients is able to describe the succession of cyanobacterial blooms of different species in a hypereutrophic reservoir and help understand the factors that determine these blooms. In our study site, Karaoun Reservoir, Lebanon, cyanobacteria Aphanizomenon ovalisporum and Microcystis aeruginosa alternatively bloom. A simple configuration of the model DYRESM-CAEDYM was used; both cyanobacteria were simulated, with constant vertical migration velocity for A. ovalisporum, with vertical migration velocity dependent on light for M. aeruginosa and with growth limited by light and temperature and not by nutrients for both species. The model was calibrated on two successive years with contrasted bloom patterns and high variations in water level. It was able to reproduce the measurements; it showed a good performance for the water level (root-mean-square error (RMSE) lower than 1 m, annual variation of 25 m), water temperature profiles (RMSE of 0.22-1.41 °C, range 13-28 °C) and cyanobacteria biomass (RMSE of 1-57 μg Chl a L

Indexed as

Harmful Algal BloomModels, BiologicalWater SupplyAphanizomenonBiomassComputer SimulationLakesLebanonMicrocystisPhytoplanktonTemperatureCyanobacteria succession, water-level variationDYRESM-CAEDYMModel simplicity

Identifiers

PMID28721624
OpenAlexW2737230853

What OpenQuestion holds

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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.