Potential factors leading to the formation of cyanobacterial scums in a mesotrophic softwater lake in Ontario, Canada

Persaud, Anurani D.; Paterson, Andrew M.; Ingram, R. Grant; Yao, Huaxia; Dillon, Peter J.

doi:10.1080/10402381.2014.937841

Cited by 9 publications

(4 citation statements)

References 28 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Projected increases in cyanobacteria as a result of climate change have also been indicated for other lakes, particularly in temperate latitudes (e.g. Elliot et al, 2010;Taranu et al, 2012;Persaud et al, 2014;Thomas and Litchman, 2016). Simulations for Lough Leane described and discussed here highlight the important role potentially played by variations to the onset and duration of stratification as a result of future changes in climate.…”

Section: Max Chl a Mg M -3supporting

confidence: 66%

“…Monomictic lakes, such as Lough Leane, tend to stratify in summer because generally stable meteorological conditions preclude deep mixing. These peaks in simulated biomass were dominated by cyanobacteria, which thrive under calm, warm, nutrientenriched conditions (Posch et al, 2012). Projected increases in cyanobacteria as a result of climate change have also been indicated for other lakes, particularly in temperate latitudes (e.g.…”

Section: Max Chl a Mg M -3mentioning

confidence: 78%

See 1 more Smart Citation

Integrating observed, inferred and simulated data to illuminate environmental change: a limnological case study

Dalton¹,

Jennings²,

O’Dwyer³

et al. 2016

Biology and Environment: Proceedings of the Royal Irish Academy

View full text Add to dashboard Cite

Effective management of aquatic ecosystems requires knowledge of baseline conditions and past variations in stressors and their effects in order to mitigate the impacts of future variability and change. This study utilizes combined monitoring, sedimentary and hindcast computer model data to reconstruct and examine the eutrophication history of a lake in southwest Ireland over a c.60-year period and uses computer models to simulate future responses in water quality as a result of projected changes in land use and climate. The study site, Lough Leane, has major national and international importance, but is currently regarded as 'at significant risk' of not meeting the water quality objectives of the EU Water Framework Directive. Palaeolimnological reconstructions and hindcast modelling results confirmed that current eutrophication in the lake dates at least to the 1950s, and particularly from the 1970s. When used to simulate future conditions the same computer models indicated that climate change will likely worsen the current situation. The approach described, synthesising data from a range of sources, can inform future-proofing of lake management plans and objectives by enabling the accommodation of future changes in catchment and climate conditions.

show abstract

Section: Max Chl a Mg M -3supporting

confidence: 66%

Section: Max Chl a Mg M -3mentioning

confidence: 78%

Integrating observed, inferred and simulated data to illuminate environmental change: a limnological case study

Dalton¹,

Jennings²,

O’Dwyer³

et al. 2016

Biology and Environment: Proceedings of the Royal Irish Academy

View full text Add to dashboard Cite

show abstract

“…Although over 90% of monitored lakes in this landscape are considered oligotrophic to mesotrophic (District Municipality of Muskoka, ), several (>8%) are eutrophic and experience frequent cyanobacterial blooms (e.g. Persaud et al ., ). The Muskoka River itself is 210 km long, descending approximately 345 m from headwaters to outflow.…”

Section: Methodsmentioning

confidence: 97%

Sensitivity of physical lake processes to climate change within a large Precambrian Shield catchment

Crossman

Eimers

Kerr

et al. 2016

Hydrological Processes

View full text Add to dashboard Cite

Potential future changes in lake physical processes (e.g. stratification and freezing) can be assessed through exploring their sensitivity to climate change, and assessing the current vulnerability of different lake types to plausible changes in meteorological drivers. This study quantifies the impacts of climate change and sensitivity of lake physical processes within a large (5100 km 2 ) Precambrian Shield catchment in south-central Ontario. Historic regional relationships are established between climate drivers, lake morphology, and lake physical changes through generalised linear modelling (GLM); and are used to quantify likely changes in timing of ice phenology and lake stratification across 72 lakes under a range of future climate models and scenarios.In response to projections of increased temperature (ensemble mean of +3.3 o C), both earlier ice-off and onset of summer stratification were projected, with later ice-on and fall turnover compared to the baseline. Process sensitivity to climate change varied by lake type; shallower lakes with a smaller volume (less than 15m deep and less than 0.05km 3 ) were more sensitive to processes associated with lake heating (stratification onset and ice-off), and deeper lakes with a larger surface area (greater than 30m deep and greater than 1000ha) were more sensitive to processes associated with lake cooling (fall turnover and ice-on). These results indicate that whereas small lakes are vulnerable to climate warming due to changes that occur in spring and summer, larger lakes are particularly sensitive during the fall. The findings suggest that lake morphology and associated sensitivity should be considered in the development of sustainable lake management strategies.

show abstract

“…(Figure ). Furthermore, observational and modeling studies of other lakes worldwide, such as Forest Lake (Australia), Lake Nieuwe Meer (Netherlands), Lake Kinneret (Israel), and Three Mile Lake (Canada), while not involving ABD, consistently demonstrated that high-temperature and calm-wind conditions favor algal aggregation at the surface. It is evident that algal blooms closer to the water surface will drift faster and transport more biomass.…”

Section: Results and Discussionmentioning

confidence: 94%

Satellite Tracking Reveals the Speed Up of the Lacustrine Algal Bloom Drift in Response to Climate Change

Wang,

Li,

Ning

et al. 2024

Environ. Sci. Technol.

View full text Add to dashboard Cite

Satellite evidence indicates a global increase in lacustrine algal blooms. These blooms can drift with winds, resulting in significant changes of the algal biomass spatial distribution, which is crucial in bloom formation. However, the lack of long-term, largescale observational data has limited our understanding of bloom drift. Here, we have developed a novel method to track the drift using multi-source remote sensing satellites and presented a comprehensive bloom drift data set for four typical lakes:

show abstract

Potential factors leading to the formation of cyanobacterial scums in a mesotrophic softwater lake in Ontario, Canada

Cited by 9 publications

References 28 publications

Integrating observed, inferred and simulated data to illuminate environmental change: a limnological case study

Integrating observed, inferred and simulated data to illuminate environmental change: a limnological case study

Sensitivity of physical lake processes to climate change within a large Precambrian Shield catchment

Satellite Tracking Reveals the Speed Up of the Lacustrine Algal Bloom Drift in Response to Climate Change

Contact Info

Product

Resources

About