Literature DB >> 29943249

Accuracy of data buoys for measurement of cyanobacteria, chlorophyll, and turbidity in a large lake (Lake Erie, North America): implications for estimation of cyanobacterial bloom parameters from water quality sonde measurements.

Justin D Chaffin1, Douglas D Kane2,3, Keara Stanislawczyk2, Eric M Parker2,4.   

Abstract

Microcystin (MCY)-producing harmful cyanobacterial blooms (cHABs) are an annual occurrence in Lake Erie, and buoys equipped with water quality sondes have been deployed to help researchers and resource managers track cHABs. The objective of this study was to determine how well water quality sondes attached to buoys measure total algae and cyanobacterial biomass and water turbidity. Water samples were collected next to two data buoys in western Lake Erie (near Gibraltar Island and in the Sandusky subbasin) throughout summers 2015, 2016, and 2017 to determine correlations between buoy sonde data and water sample data. MCY and nutrient concentrations were also measured. Significant (P < 0.001) linear relationships (R2 > 0.75) occurred between cyanobacteria buoy and water sample data at the Gibraltar buoy, but not at the Sandusky buoy; however, the coefficients at the Gibraltar buoy differed significantly across years. There was a significant correlation between buoy and water sample total chlorophyll data at both buoys, but the coefficient varied considerably between buoys and among years. Total MCY concentrations at the Gibraltar buoy followed similar temporal patterns as buoy and water sample cyanobacterial biomass data, and the ratio of MCY to cyanobacteria-chlorophyll decreased with decreased ambient nitrate concentrations. These results suggest that buoy data are difficult to compare across time and space. Additionally, the inclusion of nitrate concentration data can lead to more robust predictions on the relative toxicity of blooms. Overall, deployed buoys with sondes that are routinely cleaned and calibrated can track relative cyanobacteria abundance and be used as an early warning system for potentially toxic blooms.

Entities:  

Keywords:  Eutrophication; Great Lakes; Harmful algal bloom; Microcystin; Microcystis; Nitrogen

Mesh:

Substances:

Year:  2018        PMID: 29943249     DOI: 10.1007/s11356-018-2612-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  26 in total

1.  Use of in vivo phycocyanin fluorescence to monitor potential microcystin-producing cyanobacterial biovolume in a drinking water source.

Authors:  N McQuaid; A Zamyadi; M Prévost; D F Bird; S Dorner
Journal:  J Environ Monit       Date:  2010-12-15

2.  Quantifying and Reducing Uncertainty in Estimated Microcystin Concentrations from the ELISA Method.

Authors:  Song S Qian; Justin D Chaffin; Mark R DuFour; Jessica J Sherman; Phoenix C Golnick; Christopher D Collier; Stephanie A Nummer; Michaela G Margida
Journal:  Environ Sci Technol       Date:  2015-11-13       Impact factor: 9.028

3.  Nitrogen availability increases the toxin quota of a harmful cyanobacterium, Microcystis aeruginosa.

Authors:  Geoffrey P Horst; Orlando Sarnelle; Jeffrey D White; Stephen K Hamilton; Rajreni B Kaul; Julianne D Bressie
Journal:  Water Res       Date:  2014-02-07       Impact factor: 11.236

4.  Measurement of cyanobacteria using in-vivo fluoroscopy -- effect of cyanobacterial species, pigments, and colonies.

Authors:  De-Wei Chang; Peter Hobson; Michael Burch; Tsair-Fuh Lin
Journal:  Water Res       Date:  2012-07-07       Impact factor: 11.236

5.  FlowCam: Quantification and Classification of Phytoplankton by Imaging Flow Cytometry.

Authors:  Nicole J Poulton
Journal:  Methods Mol Biol       Date:  2016

6.  Assessment of in situ fluorometry to measure cyanobacterial presence in water bodies with diverse cyanobacterial populations.

Authors:  Lee C Bowling; Arash Zamyadi; Rita K Henderson
Journal:  Water Res       Date:  2016-08-26       Impact factor: 11.236

7.  Congener-independent immunoassay for microcystins and nodularins.

Authors:  W J Fischer; I Garthwaite; C O Miles; K M Ross; J B Aggen; A R Chamberlin; N R Towers; D R Dietrich
Journal:  Environ Sci Technol       Date:  2001-12-15       Impact factor: 9.028

8.  A fluorometric method for the differentiation of algal populations in vivo and in situ.

Authors:  M Beutler; K H Wiltshire; B Meyer; C Moldaenke; C Lüring; M Meyerhöfer; U-P Hansen; H Dau
Journal:  Photosynth Res       Date:  2002       Impact factor: 3.573

9.  Interactions between nitrogen form, loading rate, and light intensity on Microcystis and Planktothrix growth and microcystin production.

Authors:  Justin D Chaffin; Timothy W Davis; Derek J Smith; Mikayla M Baer; Gregory J Dick
Journal:  Harmful Algae       Date:  2018-02-08       Impact factor: 4.273

Review 10.  Canine cyanotoxin poisonings in the United States (1920s-2012): review of suspected and confirmed cases from three data sources.

Authors:  Lorraine C Backer; Jan H Landsberg; Melissa Miller; Kevin Keel; Tegwin K Taylor
Journal:  Toxins (Basel)       Date:  2013-09-24       Impact factor: 4.546

View more
  5 in total

1.  Development of a Risk Characterization Tool for Harmful Cyanobacteria Blooms on the Ohio River.

Authors:  Christopher T Nietch; Leslie Gains-Germain; James Lazorchak; Scott P Keely; Gregory Youngstrom; Emilee M Urichich; Brian Astifan; Abram DaSilva; Heather Mayfield
Journal:  Water (Basel)       Date:  2022-02-18       Impact factor: 3.530

2.  The Lake Erie HABs Grab: A binational collaboration to characterize the western basin cyanobacterial harmful algal blooms at an unprecedented high-resolution spatial scale.

Authors:  Justin D Chaffin; John F Bratton; Edward M Verhamme; Halli B Bair; Amber A Beecher; Caren E Binding; Johnna A Birbeck; Thomas B Bridgeman; Xuexiu Chang; Jill Crossman; Warren J S Currie; Timothy W Davis; Gregory J Dick; Kenneth G Drouillard; Reagan M Errera; Thijs Frenken; Hugh J MacIsaac; Andrew McClure; R Michael McKay; Laura A Reitz; Jorge W Santo Domingo; Keara Stanislawczyk; Richard P Stumpf; Zachary D Swan; Brenda K Snyder; Judy A Westrick; Pengfei Xue; Colleen E Yancey; Arthur Zastepa; Xing Zhou
Journal:  Harmful Algae       Date:  2021-07-23       Impact factor: 5.905

3.  Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio.

Authors:  Donna S Francy; Amie M G Brady; Erin A Stelzer; Jessica R Cicale; Courtney Hackney; Harrison D Dalby; Pamela Struffolino; Daryl F Dwyer
Journal:  Environ Monit Assess       Date:  2020-07-14       Impact factor: 2.513

4.  Elevated pH Conditions Associated With Microcystis spp. Blooms Decrease Viability of the Cultured Diatom Fragilaria crotonensis and Natural Diatoms in Lake Erie.

Authors:  Brittany N Zepernick; Eric R Gann; Robbie M Martin; Helena L Pound; Lauren E Krausfeldt; Justin D Chaffin; Steven W Wilhelm
Journal:  Front Microbiol       Date:  2021-02-24       Impact factor: 5.640

5.  Chlorophyll soft-sensor based on machine learning models for algal bloom predictions.

Authors:  Alberto Mozo; Jesús Morón-López; Stanislav Vakaruk; Ángel G Pompa-Pernía; Ángel González-Prieto; Juan Antonio Pascual Aguilar; Sandra Gómez-Canaval; Juan Manuel Ortiz
Journal:  Sci Rep       Date:  2022-08-08       Impact factor: 4.996

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.