Literature DB >> 28721624

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 Fadel1, Bruno J Lemaire2, Brigitte Vinçon-Leite2, Ali Atoui3, Kamal Slim3, Bruno Tassin2.   

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-1, range 0-206 μg Chl a L-1). The model also helped understand the succession of blooms in both years. The model results suggest that the higher growth rate of M. aeruginosa during favourable temperature and light conditions allowed it to outgrow A. ovalisporum. Our results show that simple model configurations can be sufficient not only for theoretical works when few major processes can be identified but also for operational applications. This approach could be transposed on other hypereutrophic lakes and reservoirs to describe the competition between dominant phytoplankton species, contribute to early warning systems or be used for management scenarios.

Entities:  

Keywords:  Cyanobacteria succession, water-level variation; DYRESM-CAEDYM; Model simplicity

Mesh:

Year:  2017        PMID: 28721624     DOI: 10.1007/s11356-017-9723-9

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  15 in total

1.  Performance evaluation of phycocyanin probes for the monitoring of cyanobacteria.

Authors:  Christian Bastien; Richard Cardin; Eloïse Veilleux; Christian Deblois; Annabelle Warren; Isabelle Laurion
Journal:  J Environ Monit       Date:  2010-10-26

2.  Environmental factors associated with phytoplankton succession in a Mediterranean reservoir with a highly fluctuating water level.

Authors:  Ali Fadel; Ali Atoui; Bruno J Lemaire; Brigitte Vinçon-Leite; Kamal Slim
Journal:  Environ Monit Assess       Date:  2015-09-18       Impact factor: 2.513

3.  Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems.

Authors:  Anna Rigosi; Paul Hanson; David P Hamilton; Matthew Hipsey; James A Rusak; Julie Bois; Karin Sparber; Ingrid Chorus; Andrew J Watkinson; Boqiang Qin; Bomchul Kim; Justin D Brookes
Journal:  Ecol Appl       Date:  2015-01       Impact factor: 4.657

4.  Stratification and mixing in Lake Elsinore, California: an assessment of axial flow pumps for improving water quality in a shallow eutrophic lake.

Authors:  Rebecca Lawson; Michael A Anderson
Journal:  Water Res       Date:  2007-06-12       Impact factor: 11.236

5.  Modelling the phytoplankton dynamics in a nutrient-rich solar saltern pond: predicting the impact of restoration and climate change.

Authors:  Hajer Khemakhem; Jannet Elloumi; Habib Ayadi; Lotfi Aleya; Mahmoud Moussa
Journal:  Environ Sci Pollut Res Int       Date:  2013-12       Impact factor: 4.223

6.  Effects of wind wave turbulence on the phytoplankton community composition in large, shallow Lake Taihu.

Authors:  Jian Zhou; Boqiang Qin; Céline Casenave; Xiaoxia Han; Guijun Yang; Tingfeng Wu; Pan Wu; Jianrong Ma
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-28       Impact factor: 4.223

7.  Dynamic water quality modelling and uncertainty analysis of phytoplankton and nutrient cycles for the upper South Saskatchewan River.

Authors:  Eric Akomeah; Kwok Pan Chun; Karl-Erich Lindenschmidt
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-23       Impact factor: 4.223

8.  Water quality modelling of Lis River, Portugal.

Authors:  Judite Vieira; André Fonseca; Vítor J P Vilar; Rui A R Boaventura; Cidália M S Botelho
Journal:  Environ Sci Pollut Res Int       Date:  2012-09-23       Impact factor: 4.223

9.  Life history responses of Daphnia magna feeding on toxic Microcystis aeruginosa alone and mixed with a mixotrophic Poterioochromonas species.

Authors:  Xue Zhang; Trine Perlt Warming; Hong-Ying Hu; Kirsten Seestern Christoffersen
Journal:  Water Res       Date:  2009-08-26       Impact factor: 11.236

10.  Dynamics of the toxin cylindrospermopsin and the cyanobacterium Chrysosporum (Aphanizomenon) ovalisporum in a Mediterranean eutrophic reservoir.

Authors:  Ali Fadel; Ali Atoui; Bruno J Lemaire; Brigitte Vinçon-Leite; Kamal Slim
Journal:  Toxins (Basel)       Date:  2014-10-28       Impact factor: 4.546

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