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Overview Research Site Status and Provenance Access and Downloads
Name of Research Project
Related Project
Part
GWF-FORMBLOOM: Forecasting Tools and Mitigation Options for Diverse Bloom-Affected Lakes
Dataset Title
Data for "Extreme midsummer rainfall event drives early onset cyanobacterial bloom\
Additional Information
GeoNetwork record: www.gwfnet.net/geonetwork/srv/eng/catalog.search#/metadata/6834f7d8-e602-4ea2-85b0-7a229c64cfb7
Abstract
The prevalence and increasing global distribution of cyanobacteria-dominated harmful algal blooms is strongly associated with changing climatic patterns and local biogeochemical and hydrological processes. Changes to precipitation frequency and intensity, as predicted by current climate models, are likely to alter bloom development and composition due to nutrient fluxes and water column mixing. However, few studies have directly documented the effects of precipitation events on cyanobacterial composition, biomass, and toxin production. In this study, we describe an early-initiated cyanobacterial bloom in Conestogo Lake, a eutrophic flood control reservoir located in southwestern Ontario, following heavy rainfall and subsequent flooding within the catchment. A surge in bioavailable phosphorus resulted in biomass increases of Aphanizomenon flos-aquae throughout the reservoir approximately 2 weeks post-flooding. Anabaenopeptin-A and three microcystin congeners (microcystin-LR, -YR, and -RR) were detected at varying levels across sites during the bloom period, which lasted between 3 - 5 weeks. In addition, each of the three sampled sites varied in physical and chemical properties throughout the sampling campaign suggesting different eco-zones within the reservoir that may be influenced by flow. Together, these findings indicate that water column mixing and phosphorus concentrations were the key drivers for the early cyanobacterial bloom in Conestogo Lake and further highlight the complex relationship and variability within reservoir systems. Therefore, effective management goals and mitigation strategies for bloom-related water quality impairment must be both responsive and adaptive to the complexity of drivers affecting blooms.
Purpose
This data is collected as part of the Pillar 3 GWF project "FORMBLOOM: Forecasting Tools and Mitigation Options for Diverse Bloom-Affected Lakes".
Citations
Larsen, M. L., Venkiteswaran, J. (2019). Data for "Extreme midsummer rainfall event drives early onset cyanobacterial bloom" [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.7811963.v1 Larsen, M. L., Baulch, H. M., Schiff, S. L., Simon, D. F., Sauvé, S., Venkiteswaran J. J. (2020). Extreme rainfall drives early onset cyanobacterial bloom. FACETS 5(1): 899-920. https://doi.org/10.1139/facets-2020-0022
Temporal Extent
Begin Date
End Date
2017-06-21
2017-08-17
Geographic Bounding Box
West Boundary Longitude
-80.8025
East Boundary Longitude
-80.6839
North Boundary Latitude
43.7440
South Boundary Latitude
43.6666
Is Boundary Rectangular
○ Yes
◉ No
Research Site Description (if needed)
Conestogo Lake ( http://www4.nrcan.gc.ca/search-place-names/unique/0c358d80849c20c32c21d289c8548e51 )
Dataset Version
1
Dataset Creation Date
2019-06-03
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
Dataset Completion or Abandonment Date
2019-06-03
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
○ As needed
○ Irregular
◉ None planned
○ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
▣ Field collected samples
◻ Field experiment
▣ Field observation
◻ Field survey
◻ Human biological samples
◻ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
See methodology in https://doi.org/10.1139/facets-2020-0022
Terms of Use
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Download Links and Instructions
Data available at https://doi.org/10.6084/m9.figshare.7811963.v1
Total Size of all Dataset Files (GB)
0.0000002
File formats and online databases
◻ Link to online database or web services (e.g., WISKI, ECCC)
◻ Archive files (.zip, .rar, .7z, .tar, .tgz, .tar.gz, etc.)
▣ CSV files (.csv - comma or tab separated value files)
◻ Excel document files (.xlsx, .xls)
◻ Image files (e.g., .tiff, .jpeg, .png, .gif, etc.)
◻ NetCDF files (.netcdf, .nc)
◻ Text files (.txt)
◻ Word document files (.docx, .doc)
◻ Other (Please specify in field below)
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