Some Effects of Lake Renewal on Phytoplankton Productivity and Species Composition1

Dickman, Mike

doi:10.4319/lo.1969.14.5.0660

Cited by 83 publications

(53 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This supports the widely observed increases in bloom incidents in warm, dry summers in individual eutrophic lakes and reservoirs. The impact of retention time on phytoplankton composition has not been so extensively studied, although it has been demonstrated that small phytoplankton with relatively high reproductive rates tend to dominate lakes or seasons when retention times are low (high wash-out) (Dickman, 1969;Bailey-Watts et al, 1990). Large, bloom-forming cyanobacteria are recognised for their slower reproductive rates compared to many diatoms and small green or flagellate algae (Reynolds, 2006) and the positive linear response to retention time observed in these models fits with this knowledge.…”

Section: Discussionsupporting

confidence: 49%

Cyanobacterial blooms: Statistical models describing risk factors for national-scale lake assessment and lake management

Carvalho

Miller

Scott

et al. 2011

Science of The Total Environment

View full text Add to dashboard Cite

The NERC and CEH trade marks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. . Surprisingly, the models developed reveal that nutrient concentrations are not the primary explanatory variable; water colour and alkalinity were more important. However, given suitable environments (low colour, neutral-alkaline waters), cyanobacteria do increase with both increasing retention time and increasing TP concentrations, supporting the observations that cyanobacteria are one of the most visible symptoms of eutrophication, particularly in warm, dry summers. The models can contribute to the assessment of risks to public health, at a regional-to national level, helping target lake monitoring and management more cost-effectively at those lakes at highest risk of breaching World Health Organisation guideline levels for cyanobacteria in recreational waters. The models also inform restoration options available for reducing cyanobacterial blooms, indicating that, in the highest risk lakes (alkaline, low colour lakes), risks can generally be lessened through management aimed at reducing nutrient loads and increasing flushing during summer.

show abstract

Section: Discussionsupporting

confidence: 49%

Cyanobacterial blooms: Statistical models describing risk factors for national-scale lake assessment and lake management

Carvalho

Miller

Scott

et al. 2011

Science of The Total Environment

View full text Add to dashboard Cite

show abstract

“…In June and July 2007, high water temperature and scarce water renewal, together with a high stability of meteo-climatic conditions, determined hypoxic events on the lake bottom, due to high oxygen demand by the benthic and pelagic systems. High water velocity reduces phytoplankton accumulation by flushing algae outside and by affecting negatively the primary production rates [23,46]. Conversely, Rennella and Quiros [25] found that high water flow leads to a twofold increase in algal biomass in shallow lakes with high nutrient levels, likely due to decreased grazing pressure and improved light availability.…”

Section: Primary Producers and Physico-chemical Characterizationmentioning

confidence: 99%

Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images

Pinardi

Fenocchi

Giardino

et al. 2015

Water

View full text Add to dashboard Cite

Shallow fluvial lakes are dynamic ecosystems shaped by physical and biological factors and characterized by the coexistence of phytoplankton and macrophytes. Due to multiple interplaying factors, understanding the distribution of phytoplankton in fluvial lakes is a complex but fundamental issue, in the context of increasing eutrophication, climate change, and multiple water uses. We analyze the distribution of phytoplankton by combining remotely sensed maps of chlorophyll-a with a hydrodynamic model in a dammed fluvial lake (Mantua Superior Lake, Northern Italy). The numerical simulation of different conditions shows that the main hydrodynamic effects which influence algal distribution are related to the combined effect of advection due to wind forces and local currents, as well as to the presence of large gyres which induce recirculation and stagnation regions, favoring phytoplankton accumulation. Therefore, the general characters of the phytoplankton horizontal patchiness can be inferred from the results of the hydrodynamic model. Conversely, hyperspectral remote-sensing products can be used to validate this model, as they provide chlorophyll-a distribution maps. The integration of ecological, hydraulic, and remote-sensing techniques may therefore help the monitoring and protection OPEN ACCESSWater 2015, 7 1922of inland water quality, with important improvements in management actions by policy makers.

show abstract

“…All factors described above might be of secondary importance on planktons' biomass in the reservoir, if considerable plankton standing crop is removed by flushing [50]. If plankton community structure is affected by such flushing and thus residence time of water in the reservoir, we expect that both phytoplankton and zooplankton biomass will decrease during periods of high water discharge and that plankton species with high generation time will be replaced during flooding periods by species with shorter generation time [51] [52].…”

Section: Plankton Distributionmentioning

confidence: 99%

Evaluation of Spatial-Temporal Variations of Water Quality and Plankton Assemblages and Its Relationship to Water Use in Kulekhani Multipurpose Reservoir, Nepal

Adhikari¹,

Shrestha²,

Bam³

et al. 2017

JEP

View full text Add to dashboard Cite

Spatial and temporal variation in planktons and water quality parameters were investigated in order to determine the effects of seasonal water use on reservoir water quality and planktons' diversity in Kulekhani Multipurpose Reservoir, Nepal. This study also focuses on interactions among various water quality parameters with planktons and how such interactions can affect the second major utility, the fish farming in the reservoir. The analyses of seasonal water samples collected from three different sampling locations in the reservoir showed that select water quality parameters varied significantly (P < 0.05) with sampling seasons (transparency: 30 -250 cm, pH: 7 -7.5, alkalinity: 30 -120 mg/L, DO: 6 -11.5 mg/L, CO 2 : 0.1 -1.1 mg/L) and sampling locations (phosphate: 0.1 -0.25 mg/L, nitrate 0.01 -0.19 mg/L) in the reservoir. Three groups of zooplankton and four classes of phytoplankton, respectively with eleven and twelve genera, were identified and quantified in the reservoir.Among them, Cyclops, Asplanchana, and Keratella were most dominant zooplanktons while Synedra, Melosira and Peridinum were the most dominant phytoplankton in the reservoir water. The abundance of select zooplanktons (Cyclops, Keratella, Polyanthra), and phytoplankton (Navicula, Melosira, Amphora, Chroococcus, Staurastrum, Scendesmus) showed significant interaction between sampling sites and sampling seasons, while the other varied only with sampling seasons and/or sites. These results showed that seasonal water level fluctuations, along with the variation of water quality para- meters, change the abundance and diversity of planktons' in the reservoir. Such changes can negatively impact the fish in cage culture, affecting the livelihood of people extensively relying on these fish farming.

show abstract

Some Effects of Lake Renewal on Phytoplankton Productivity and Species Composition1

Cited by 83 publications

References 6 publications

Cyanobacterial blooms: Statistical models describing risk factors for national-scale lake assessment and lake management

Cyanobacterial blooms: Statistical models describing risk factors for national-scale lake assessment and lake management

Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images

Evaluation of Spatial-Temporal Variations of Water Quality and Plankton Assemblages and Its Relationship to Water Use in Kulekhani Multipurpose Reservoir, Nepal

Contact Info

Product

Resources

About