Cyanobacterial blooms. Ecology, prevention, mitigation and control: Editorial to a CYANOCOST Special Issue

Ibelings, Bastiaan Willem; Fastner, Jutta; Bormans, Myriam; Visser, P.

doi:10.1007/s10452-016-9595-y

Cited by 36 publications

(25 citation statements)

References 24 publications

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“…As a result of urbanization, population growth, and agricultural intensification, freshwaters have become the most threatened ecosystem type in large parts of the world, suffering historic and on-going widespread declines in the quantity and quality of habitats and the abundance of many species [1,2]. Harmful cyanobacterial blooms are becoming more common and widespread, and due to the toxins produced by many bloom-forming species, they are of particular concern for drinking water supplies, fisheries, and recreation [3,4].…”

Section: Introductionmentioning

confidence: 99%

Predicting Lake Quality for the Next Generation: Impacts of Catchment Management and Climatic Factors in a Probabilistic Model Framework

Moe

Couture

Haande

et al. 2019

Water

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Lake ecosystems across the world are under combined pressures of eutrophication and climate change, which increase the risk of harmful cyanobacteria blooms, reduced ecological status, and degraded ecosystem services. In Europe, the third cycle of river basin management plans (2021–2027) according to the Water Framework Directive must take into account the potential impacts of climate change on water quality, including effects on relevant biological indicators. Here, we applied a Bayesian network as a meta-model for linking future climate and land-use scenarios for the time horizon 2050–2070, via process-based catchment and lake models, to cyanobacteria abundance and ecological status of a eutrophic lake. Building upon previous applications of the model, a new version was developed to include relevant climatic variables such as wind speed. Explorative scenarios showed that the combination of low wind and high temperature gave the most synergistic effects on cyanobacteria under high levels of eutrophication (Chl-a concentration). Considering the management target of good ecological status, however, the climate-related promotion of cyanobacteria blooms contributed most to degrading the ecological status at intermediate levels of eutrophication. Future developments of this model will aim to strengthen the link between climate variables and ecological responses, to make the model also useful for seasonal forecasting.

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Section: Introductionmentioning

confidence: 99%

Predicting Lake Quality for the Next Generation: Impacts of Catchment Management and Climatic Factors in a Probabilistic Model Framework

Moe

Couture

Haande

et al. 2019

Water

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“…As irrigation practices within the watershed are likely reducing discharge, and therefore bloom dynamics, it is interesting to consider the prevention, mitigation, and control strategies that managers might use to moderate or minimize cyanobacterial blooms in Coursey Pond and its upstream tributary, Killens Pond (Ibelings et al, 2016). Readily available irrigation management tools such as the Delaware Irrigation Management System (http://dims.deos.udel.edu/) can reduce and spread the water pumping over longer times, a practice that could lead to levels of discharge, temperature, and NO 3 − concentrations in the ponds that would favor alternative phytoplankton species (and perhaps macrophytes) capable of outcompeting the bloom species.…”

Section: Resultsmentioning

confidence: 99%

Hydrophysical and Hydrochemical Controls of Cyanobacterial Blooms in Coursey Pond, Delaware (USA)

et al. 2019

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Noxious cyanobacterial blooms are common in many ponds in the mid‐Atlantic Coastal Plain. In Delaware, blooms normally occur between July and October, yet no in‐depth analyses of the causes and predictors exist. A study using commercially available, high‐frequency, continuous, and automated biogeochemical sensors at Coursey Pond, Delaware, a pond known for perennial summer blooms, was conducted to investigate how hydrophysical and hydrochemical conditions affect bloom dynamics. Cyanobacterial abundance (based on the in vivo phycocyanin fluorescence and phycocyanin/chlorophyll fluorescence ratios) increases during periods of high water temperatures (up to 32°C), low discharge through the pond (mean hydraulic residence time ≥5 d) with evaporative concentration of dissolved solids, and decreasing NO3− concentrations (reaching <0.1 mg L−1, the detection limit). These conditions lead to the uptake and depletion of bioavailable N in the pond surface waters and provide a competitive advantage for temperature‐tolerant and N‐fixing cyanobacteria. Irrigation water use within the watershed can exceed pond discharge during drier summer months, enhancing bloom‐forming conditions. Bloom intensity varies due to storms but persists until mid‐October to mid‐November when temperatures cool, daylength decreases, and discharge and NO3− concentration recovers. Changes in these easily monitored physical and chemical parameters can serve to anticipate the onset, intensity, persistence, and the eventual dissipation of cyanobacterial blooms at Coursey Pond and similar ponds elsewhere. Therefore, the use of sensors and high‐frequency data has the potential to assist in forecasting and management of blooms. Core Ideas Cyanobacteria blooms are common in small flow‐through ponds in the mid‐Atlantic Coastal Plain. Available biogeochemical sensors can characterize bloom onset, intensity, and dissipation. Residence time, temperature, and NO3− concentration are robust predictors of bloom intensity. Storms temporarily disrupt blooms by flushing, but blooms reestablish once stormflow ceases. Irrigation within the watershed increases pond residence time, thus promoting blooms.

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“…For example, temporary swimming closures, or long-term changes in recreational activities, or finding alternative drinking water supplies may be required. It has been recommended that the two first strategies are used in combination with the sustainable protection and/or restoration of freshwater ecosystems (Ibelings et al, 2016).…”

Section: How To Live With Cyanobacteria?mentioning

confidence: 99%

The Suitability of Chemical Products and Other Short-Term Remedial Methods for the Control of Cyanobacterial Blooms in Freshwater Ecosystems

Humbert

Quiblier

2019

Front. Environ. Sci.

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Cyanobacterial blooms. Ecology, prevention, mitigation and control: Editorial to a CYANOCOST Special Issue

Abstract: This is the Editorial

Cited by 36 publications

References 24 publications

Predicting Lake Quality for the Next Generation: Impacts of Catchment Management and Climatic Factors in a Probabilistic Model Framework

Predicting Lake Quality for the Next Generation: Impacts of Catchment Management and Climatic Factors in a Probabilistic Model Framework

Hydrophysical and Hydrochemical Controls of Cyanobacterial Blooms in Coursey Pond, Delaware (USA)

The Suitability of Chemical Products and Other Short-Term Remedial Methods for the Control of Cyanobacterial Blooms in Freshwater Ecosystems

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