Lake Champlain 2010: A summary of recent research and monitoring initiatives

Facey, Douglas E.; Marsden, J. Ellen; Mihuc, Timothy B.; Howe, Eric A.

doi:10.1016/j.jglr.2011.12.001

Cited by 17 publications

(9 citation statements)

References 22 publications

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“…Lake Champlain is a large, temperate lake with a surface area of 1,127 km 2 , mean and maximum depths of 20 and 122 m, and a drainage basin of 21,326 km 2 (Facey et al ). The lake is divided into five major basins: South Lake, Main Lake, Northeast Arm, Malletts Bay, and Missisquoi Bay.…”

Section: Methodsmentioning

confidence: 99%

“…The lake is divided into five major basins: South Lake, Main Lake, Northeast Arm, Malletts Bay, and Missisquoi Bay. South Lake and Missisquoi Bay are shallow, warm, and eutrophic and the Main Lake, Malletts Bay, and Northeast Arm are mesotrophic to oligotrophic (Table ; Figure ; Facey et al ). Existing phytoplankton and zooplankton data from the Lake Champlain Long‐Term Monitoring Program (LTMP; http://dec.vermont.gov/watershed/lakes-ponds/monitor/lake-champlain) were used to test hypotheses.…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we tested three linked hypotheses: (1) cyanobacteria density and phytoplankton diversity are inversely related; (2) phytoplankton diversity and zooplankton diversity are positively related; and by extension (3) cyanobacteria density and zooplankton diversity are inversely related. The hypotheses were tested using monitoring data from Lake Champlain, a highly heterogeneous, large‐lake system with habitats ranging from shallow eutrophic bays to deep oligotrophic/mesotrophic basins (Facey et al ). The frequency and intensity of cyanobacteria blooms in Lake Champlain have been increasing (Smeltzer et al ), providing an excellent system in which to test our hypotheses.…”

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confidence: 99%

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Reduced Phytoplankton and Zooplankton Diversity Associated with Increased Cyanobacteria in Lake Champlain, USA

Bockwoldt

Nodine

Mihuc

et al. 2017

Contemporary Water Research

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Anthropogenic inputs of nutrients threaten water quality around the world, causing eutrophication and altering phytoplankton communities. In freshwater systems, certain physiochemical conditions, including high TP, low TN:TP, and warm temperatures, can lead to problematic cyanobacteria blooms. Cyanobacteria can decrease phytoplankton diversity and phytoplankton diversity has been positively linked to zooplankton diversity, suggesting that cyanobacteria may have indirect negative effects on zooplankton diversity. Using monitoring data from Lake Champlain, we tested three hypotheses: (1) cyanobacteria density and phytoplankton diversity are inversely related; (2) phytoplankton diversity and zooplankton diversity are positively related; and by extension (3) cyanobacteria density and zooplankton diversity are inversely related. Relationships were investigated separately at shallow (4–15 m) and deep (25–100 m) sites using several diversity metrics. At deep sites, cyanobacteria density was only related (positively) to zooplankton Shannon diversity. At shallow sites, all three hypotheses were supported by three of four diversity metrics; low phytoplankton richness appears to be the link between high cyanobacteria density and low zooplankton diversity. Our results suggest that cyanobacteria may indirectly reduce zooplankton diversity by decreasing resource heterogeneity, although our results based on observational data were also consistent with well‐known direct pathways. Because low biodiversity can alter ecosystem processes and impair functioning, our results suggest that shallow systems may be more responsive to global change than deeper systems.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Reduced Phytoplankton and Zooplankton Diversity Associated with Increased Cyanobacteria in Lake Champlain, USA

Bockwoldt

Nodine

Mihuc

et al. 2017

Contemporary Water Research

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“…Strong positive correlations have been identified between spring river discharge (as well as spring inputs of total phosphorus and reactive phosphorus) and the magnitude of summer cyanobacteria blooms in western Lake Erie (Michalak et al, 2013;Stumpf et al, 2012). Lake Champlain lies within the same geographic region as the Laurentian Great Lakes and shares many of their geological, physical and ecological characteristics (Facey et al, 2012), suggesting that algae blooms in Lake Champlain may be controlled by similar factors. In addition to the effects of spring runoff, external river inputs during the summer growing season may have complex effects on lake phytoplankton dynamics at varying timescales dependent on the antecedent nutrient and phytoplankton conditions in the receiving waters and the degree to which discharge events are accompanied by lake mixing (Jennings et al, 2012).…”

Section: Introductionmentioning

confidence: 98%

Dynamic internal drivers of a historically severe cyanobacteria bloom in Lake Champlain revealed through comprehensive monitoring

Isles

Giles

Gearhart

et al. 2015

Journal of Great Lakes Research

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“…Study area and data collection As part of the St. Lawrence drainage, LC experiences similar history in geology, ecology, and biology with the Great Lakes (Facey et al 2012). The large basin area to lake surface ratio (19 : 1) makes the LC ecosystem vulnerable to exogenous processes which associated with anthropogenic activity, land-use and climate change (Smeltzer et al 2012).…”

Section: Materials and Proceduresmentioning

confidence: 99%

Developing a 21st Century framework for lake-specific eutrophication assessment using quantile regression

Schroth

Rizzo

2015

Limnol. Oceanogr. Methods

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Over the past 30+ years, researchers and water resource managers have often relied on a set of regression‐based equations to describe the relationships between secchi depth (SD), chlorophyll (Chl) and total phosphorous (TP) and quantitatively assess lake trophic status after Carlson (1977). Here, we develop a revised framework for eutrophication assessment that incorporates recent statistical advances in ecology and leverages the increasing availability of lake‐specific datasets in the 21st Century. Long‐term (1992–2012) water quality data from Lake Champlain (LC) are used to revisit and revise classic equations of tropic state indices (TSIChl/TP). The upper boundaries of SD–ln(Chl) and ln(Chl)–ln(TP) distributions within this dataset fit well with quantile regression (99th, QR) to generate LC‐specific TSIChl/TP equations. Our results illustrate that Carlson (1977)'s original TSIChl/TP equations overestimate the trophic status of LC relative to LC‐specific equations, and highlight the power of the QR‐derived TSIChl/TP metric. We combine TSISD and TSIChl into one metric to indicate pseudoeutrophication and pseudomesotrophication of oligotrophic waters as well as pseudoeutrophication of mesotrophic waters to identify waters threatened by potential trophic shift. Additionally, TSIChl and TSITP were coupled as a complimentary dual metric to indicate potential risks of excessive phosphorus loading to oligotrophic and mesotrophic waters. With these dual metric schemes, we performed cluster analysis of 15 locations to spatially assess trophic status and phosphorous risks across LC. This study describes a relatively simple and robust approach for lake‐specific status assessment, the structure of which can be broadly utilized within monitoring and research communities.

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Lake Champlain 2010: A summary of recent research and monitoring initiatives

Cited by 17 publications

References 22 publications

Reduced Phytoplankton and Zooplankton Diversity Associated with Increased Cyanobacteria in Lake Champlain, USA

Reduced Phytoplankton and Zooplankton Diversity Associated with Increased Cyanobacteria in Lake Champlain, USA

Dynamic internal drivers of a historically severe cyanobacteria bloom in Lake Champlain revealed through comprehensive monitoring

Developing a 21st Century framework for lake-specific eutrophication assessment using quantile regression

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