Addressing Optimal Strategies for Cyanobacterial Growth

ESTRADA, V.; DÍAZ, M. S

Estambul, Turquía

Conferencia; 8th International Conference on Toxic Cyanobacteria; 2010

Association of Aquaculture Engineering and Ýstanbul University, Faculty of Fisheries, Department of Inland Waters

Ecological models provide a tool for improving the understanding of freshwater ecosystems dynamics and predicting their responses to changes in driving forces, as well as for remediation purposes. We develop an eutrophication model within a simultaneous dynamic optimization framework to determine restoration policies in an Argentine eutrophic reservoir, which supplies drinking water to nearby cities. Recurrent cyanobacterial blooms occur during warm months, being the species with higher biomass potential toxin-producers ones, such as Mycrocystis aeruginosa and Anabaena circinalis. Model state variables include concentrations of main nutrients, DO, cyanobacteria, diatoms, chlorophyta, cladocerans and copepods. The model takes into account different food quality of each phytoplankton group and grazing zooplankton preferences. Two water quality restoration methods have been included in the dynamic optimization problem: nutrient removal through an artificial wetland, to reduce nutrient download, and biomanipulation. Biomanipulation has been one of the most extensive strategies used to prevent algal blooms. It is based on the trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. nutrients, DO, cyanobacteria, diatoms, chlorophyta, cladocerans and copepods. The model takes into account different food quality of each phytoplankton group and grazing zooplankton preferences. Two water quality restoration methods have been included in the dynamic optimization problem: nutrient removal through an artificial wetland, to reduce nutrient download, and biomanipulation. Biomanipulation has been one of the most extensive strategies used to prevent algal blooms. It is based on the trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. aeruginosa and Anabaena circinalis. Model state variables include concentrations of main nutrients, DO, cyanobacteria, diatoms, chlorophyta, cladocerans and copepods. The model takes into account different food quality of each phytoplankton group and grazing zooplankton preferences. Two water quality restoration methods have been included in the dynamic optimization problem: nutrient removal through an artificial wetland, to reduce nutrient download, and biomanipulation. Biomanipulation has been one of the most extensive strategies used to prevent algal blooms. It is based on the trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. nutrients, DO, cyanobacteria, diatoms, chlorophyta, cladocerans and copepods. The model takes into account different food quality of each phytoplankton group and grazing zooplankton preferences. Two water quality restoration methods have been included in the dynamic optimization problem: nutrient removal through an artificial wetland, to reduce nutrient download, and biomanipulation. Biomanipulation has been one of the most extensive strategies used to prevent algal blooms. It is based on the trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. Mycrocystis aeruginosa and Anabaena circinalis. Model state variables include concentrations of main nutrients, DO, cyanobacteria, diatoms, chlorophyta, cladocerans and copepods. The model takes into account different food quality of each phytoplankton group and grazing zooplankton preferences. Two water quality restoration methods have been included in the dynamic optimization problem: nutrient removal through an artificial wetland, to reduce nutrient download, and biomanipulation. Biomanipulation has been one of the most extensive strategies used to prevent algal blooms. It is based on the trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. nutrients, DO, cyanobacteria, diatoms, chlorophyta, cladocerans and copepods. The model takes into account different food quality of each phytoplankton group and grazing zooplankton preferences. Two water quality restoration methods have been included in the dynamic optimization problem: nutrient removal through an artificial wetland, to reduce nutrient download, and biomanipulation. Biomanipulation has been one of the most extensive strategies used to prevent algal blooms. It is based on the trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. and Anabaena circinalis. Model state variables include concentrations of main nutrients, DO, cyanobacteria, diatoms, chlorophyta, cladocerans and copepods. The model takes into account different food quality of each phytoplankton group and grazing zooplankton preferences. Two water quality restoration methods have been included in the dynamic optimization problem: nutrient removal through an artificial wetland, to reduce nutrient download, and biomanipulation. Biomanipulation has been one of the most extensive strategies used to prevent algal blooms. It is based on the trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton. trophic chain theory and it consists in keeping a high grazing pressure by carrying out zooplanktivorous fish removal. The objective function is to minimize the offset between cyanobacteria concentration and a desired value, below the eutrophication limit. Numerical results show the need for simultaneous external nutrient loading reduction together with in-lake reduction approaches by biomanipulation through fish removal (Odontesthes bonaeriensis) to increase top-down control of zooplankton.Odontesthes bonaeriensis) to increase top-down control of zooplankton.