Literature DB >> 15556214

Environmental factors influencing microcystin distribution and concentration in the Midwestern United States.

Jennifer L Graham1, John R Jones, Susan B Jones, John A Downing, Thomas E Clevenger.   

Abstract

During May-September 2000-2001, physicochemical data were collected from 241 lakes in Missouri, Iowa, northeastern Kansas, and southern Minnesota U.S.A., to determine the environmental variables associated with high concentrations of the cyanobacterial hepatotoxin microcystin (MC). The study region represents a south-north latitudinal gradient in increasing trophic status, with total phosphorus (TP) and total nitrogen (TN) values ranging between 2-995 and 90-15870 microg/L, respectively. Particulate MC values, measured by ELISA, ranged from undetectable to 4500 ng/L and increased with increasing latitude. Despite latitudinal trends, environmental variables explained < 50% of the variation in MC values. Inspection of MC-TN and MC-Secchi bivariate plots revealed distinctly nonlinear trends, suggesting optima for maximum MC values. Nonlinear interval maxima regression indicated that MC-TN maxima were characterized by a unimodal curve, with maximal (> 2000 ng/L) MC values occurring between 1500 and 4000 microg/L TN. Above 8000 microg/L TN all MC values were < 150 ng/L. MC-Secchi maxima were characterized by exponential decline, with maximal MC values occurring at Secchi depths < 2.5 m. The development of empirical relationships between environmental variables and MC values is critical to effective lake management and minimization of human health risks associated with the toxin. This study indicates MC values are linked to the physicochemical environment; however, the relationships are not traditional linear models.

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Year:  2004        PMID: 15556214     DOI: 10.1016/j.watres.2004.08.004

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  18 in total

1.  Detection of microcystin-producing cyanobacteria in Finnish lakes with genus-specific microcystin synthetase gene E (mcyE) PCR and associations with environmental factors.

Authors:  Anne Rantala; Pirjo Rajaniemi-Wacklin; Christina Lyra; Liisa Lepistö; Jukka Rintala; Joanna Mankiewicz-Boczek; Kaarina Sivonen
Journal:  Appl Environ Microbiol       Date:  2006-09       Impact factor: 4.792

2.  Effect of light intensity on the relative dominance of toxigenic and nontoxigenic strains of Microcystis aeruginosa.

Authors:  Susan Leblanc Renaud; Frances R Pick; Nathalie Fortin
Journal:  Appl Environ Microbiol       Date:  2011-08-12       Impact factor: 4.792

3.  Combining national and state data improves predictions of microcystin concentration.

Authors:  Lester L Yuan; Amina I Pollard
Journal:  Harmful Algae       Date:  2019-03-18       Impact factor: 4.273

4.  Spatial and temporal variability in the relationship between cyanobacterial biomass and microcystins.

Authors:  Som Cit Sinang; Elke S Reichwaldt; Anas Ghadouani
Journal:  Environ Monit Assess       Date:  2012-12-12       Impact factor: 2.513

5.  Identification of ecological thresholds from variations in phytoplankton communities among lakes: contribution to the definition of environmental standards.

Authors:  Vincent Roubeix; Pierre-Alain Danis; Thibaut Feret; Jean-Marc Baudoin
Journal:  Environ Monit Assess       Date:  2016-03-24       Impact factor: 2.513

6.  Using interval maxima regression (IMR) to determine environmental optima controlling Microcystis spp. growth in Lake Taihu.

Authors:  Ming Li; Qiang Peng; Man Xiao
Journal:  Environ Sci Pollut Res Int       Date:  2015-09-04       Impact factor: 4.223

7.  Occurrence and spatial distributions of microcystins in Poyang Lake, the largest freshwater lake in China.

Authors:  Dawen Zhang; Qiegen Liao; Li Zhang; Donggen Wang; Linguang Luo; Yuwei Chen; Jiayou Zhong; Jutao Liu
Journal:  Ecotoxicology       Date:  2014-09-13       Impact factor: 2.823

8.  Effects of multiple environmental factors on the growth and extracellular organic matter production of Microcystis aeruginosa: a central composite design response surface model.

Authors:  Mengqi Jiang; Zheng Zheng
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-04       Impact factor: 4.223

9.  Cyanobacteria and cyanotoxins: the influence of nitrogen versus phosphorus.

Authors:  Andrew M Dolman; Jacqueline Rücker; Frances R Pick; Jutta Fastner; Thomas Rohrlack; Ute Mischke; Claudia Wiedner
Journal:  PLoS One       Date:  2012-06-15       Impact factor: 3.240

10.  Harmful algal bloom characterization at ultra-high spatial and temporal resolution using small unmanned aircraft systems.

Authors:  Deon Van der Merwe; Kevin P Price
Journal:  Toxins (Basel)       Date:  2015-03-27       Impact factor: 4.546

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