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

被引:34
作者
Chaffin, Justin D. [1 ]
Bratton, John F. [2 ]
Verhamme, Edward M. [2 ]
Bair, Halli B. [1 ,17 ]
Beecher, Amber A. [3 ]
Binding, Caren E. [4 ]
Birbeck, Johnna A. [5 ]
Bridgeman, Thomas B. [3 ]
Chang, Xuexiu [6 ,7 ]
Crossman, Jill [8 ]
Currie, Warren J. S. [9 ]
Davis, Timothy W. [10 ]
Dick, Gregory J. [11 ]
Drouillard, Kenneth G. [6 ,18 ]
Errera, Reagan M. [12 ]
Frenken, Thijs [6 ,18 ]
MacIsaac, Hugh J. [6 ]
McClure, Andrew [13 ]
McKay, R. Michael [6 ]
Reitz, Laura A. [10 ,11 ]
Santo Domingo, Jorge W. [14 ]
Stanislawczyk, Keara [1 ]
Stumpf, Richard P. [15 ]
Swan, Zachary D. [3 ]
Snyder, Brenda K. [3 ]
Westrick, Judy A. [5 ]
Xue, Pengfei [16 ]
Yancey, Colleen E. [11 ]
Zastepa, Arthur [4 ]
Zhou, Xing [16 ]
机构
[1] Ohio State Univ, FT Stone Lab & Ohio Sea Grant, 878 Bayview Ave POB 119, Put In Bay, OH 43456 USA
[2] LimnoTech, 501 Avis Dr, Ann Arbor, MI 48108 USA
[3] Univ Toledo, Lake Erie Ctr, 6200 Bayshore Rd, Oregon, OH 43616 USA
[4] Canada Ctr Inland Waters, Environm & Climate Change Canada, 867 Lakeshore Rd, Burlington, ON L7S 1A1, Canada
[5] Wayne State Univ, Lumigen Instrument Ctr, 5101Cass Ave, Detroit, MI 48202 USA
[6] Univ Windsor, Great Lakes Inst Environm Res, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada
[7] Yunnan Univ, Sch Ecol & Environm Sci, Kunming 650091, Yunnan, Peoples R China
[8] Univ Windsor, Sch Environm, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada
[9] Canada Ctr Inland Waters, Fisheries & Oceans Canada, 867 Lakeshore Rd, Burlington, ON L7S 1A1, Canada
[10] Bowling Green State Univ, Biol Sci, Life Sci Bldg, Bowling Green, OH 43402 USA
[11] Univ Michigan, Dept Earth & Environm Sci, 2534 North Univ Bldg,1100 North Univ Ave, Ann Arbor, MI 48109 USA
[12] NOAA, Great Lakes Environm Res Lab, Ann Arbor, MI 48108 USA
[13] City Toledo, Div Water Treatment, Toledo, OH 43605 USA
[14] US EPA, Cincinnati, OH 45268 USA
[15] NOAA, Natl Ocean Serv, 1305 East West Highway, Silver Spring, MD 20910 USA
[16] Michigan Technol Univ, Civil & Environm Engn, 1400 Townsend Dr, Houghton, MI 49931 USA
[17] Ohio Univ, Dept Civil Engn, Athens, OH 45701 USA
[18] Netherlands Inst Ecol NIOO KNAW, Dept Aquat Ecol, Droevendaalsesteeg 10, NL-6708 PB Wageningen, Netherlands
基金
加拿大自然科学与工程研究理事会; 美国海洋和大气管理局; 美国国家卫生研究院; 美国国家科学基金会;
关键词
Cyanobacteria; Eutrophication; Environmental monitoring; International collaboration; Microcystis; Microcystin; TOXIC CYANOBACTERIA; MICROCYSTIS BLOOMS; NONTOXIC STRAINS; IN-VIVO; NITROGEN; MODEL; PHOSPHORUS; GROWTH; CYANOTOXINS; PHYCOCYANIN;
D O I
10.1016/j.hal.2021.102080
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Monitoring of cyanobacterial bloom biomass in large lakes at high resolution is made possible by remote sensing. However, monitoring cyanobacterial toxins is only feasible with grab samples, which, with only sporadic sam-pling, results in uncertainties in the spatial distribution of toxins. To address this issue, we conducted two intensive "HABs Grabs" of microcystin (MC)-producing Microcystis blooms in the western basin of Lake Erie. These were one-day sampling events during August of 2018 and 2019 in which 100 and 172 grab samples were collected, respectively, within a six-hour window covering up to 2,270 km(2) and analyzed using consistent methods to estimate the total mass of MC. The samples were analyzed for 57 parameters, including toxins, nutrients, chlorophyll, and genomics. There were an estimated 11,513 kg and 30,691 kg of MCs in the western basin during the 2018 and 2019 HABs Grabs, respectively. The bloom boundary poses substantial issues for spatial assessments because MC concentration varied by nearly two orders of magnitude over very short distances. The MC to chlorophyll ratio (MC:chl) varied by a factor up to 5.3 throughout the basin, which creates challenges for using MC:chl to predict MC concentrations. Many of the biomass metrics strongly correlated (r > 0.70) with each other except chlorophyll fluorescence and phycocyanin concentration. While MC and chlorophyll correlated well with total phosphorus and nitrogen concentrations, MC:chl correlated with dissolved inorganic nitrogen. More frequent MC data collection can overcome these issues, and models need to account for the MC:chl spatial heterogeneity when forecasting MCs.
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页数:18
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