A brief history of the U.S. EPA Great Lakes National Program Office's water quality survey

Barbiero, Richard P.; Lesht, Barry M.; Hinchey, Elizabeth K.; Nettesheim, Todd G.

doi:10.1016/j.jglr.2018.05.011

Cited by 36 publications

(13 citation statements)

References 35 publications

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“…The twice-annual GLNPO open-lake survey has had only 16 veliger occurrences -widelyscattered in time and space -across the almost 600 samples taken over the years 2001 to 2016 (U.S. EPA unpublished data per James Watkins pers. comm., station map in Barbiero et al 2018), which constitute <2% of samples. The 2016 Lake Superior Coordinated Science and Monitoring Initiative (CSMI) covering 52 stations found veligers at only one site near the St. Louis River estuary and one in Nipigon Bay but none around the APIS, and no veligers were found at all in the 2006 and 2011 CSMI surveys covering ~75 stations (U.S. EPA unpublished data per Matt Pawlowski pers.…”

Section: Discussionmentioning

confidence: 99%

Dreissena veligers in western Lake Superior – Inference from new low-density detection

Trebitz¹,

Hatzenbuhler

Hoffman

et al. 2019

Journal of Great Lakes Research

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The notion that Lake Superior proper is inhospitable to dreissenid mussel survival has been challenged by recent finds on shipwrecks and rocky reefs in the Apostle Islands region. Motivated by concerns surrounding these finds, we conducted an intensive sampling campaign of Apostle Islands waters in 2017 to understand Dreissena prevalence and distribution. The 100-site effort combined random and targeted sites and collected zooplankton, benthos, video, environmental DNA, and supporting water quality data. We did not find settled Dreissena in any video footage or benthos samples, and quantitative PCR applied to eDNA samples was negative for Dreissena. Dreissena veligers were found in almost half the zooplankton samples but at orders of magnitude lower densities than reported from other Laurentian Great Lakes. Veligers were most prevalent around the western islands and associated with shallower depths and slightly higher phosphorus and chlorophyll, but did not spatially match known (still very localized) settled Dreissena colonies. This is the first study to conduct veliger-targeted sampling in western Lake Superior and the first to report consistent detection of veligers there. We speculate that these Apostle Islands veligers are not a new locally-spawned component of the zooplankton community, but instead are transported from an established population in the St. Louis River estuary (~100 km away) by longshore currents; i.e., low-density propagule pressure that may have been present for years. Small-mesh zooplankton data collected along a gradient from the Apostle Islands to the St. Louis River estuary and enumerated with thorough veliger searching would help elucidate these alternatives.

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Section: Discussionmentioning

confidence: 99%

Dreissena veligers in western Lake Superior – Inference from new low-density detection

Trebitz¹,

Hatzenbuhler

Hoffman

et al. 2019

Journal of Great Lakes Research

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“…Water samples were collected from the Laurentian Great Lakes aboard the R/V Lake Guardian , during the biannual Water Quality Surveys conducted by the U.S. EPA Great Lakes National Program Office (40). Data presented here were collected in April and August 2012.…”

Section: Methodsmentioning

confidence: 99%

Genome streamlining, proteorhodopsin, and organic nitrogen metabolism in freshwater nitrifiers

Podowski¹,

Paver²,

Newton

et al. 2021

Preprint

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Microbial nitrification is a critical process governing nitrogen availability in aquatic systems and provides energy for aphotic carbon fixation. Nitrifiers are phylogenetically and physiologically diverse, but the factors controlling this diversity, and its biogeochemical implications, are poorly understood, particularly in freshwater systems. Here, we characterized the taxonomic, genomic, and metabolic diversity of free-living nitrifiers across Earth’s largest freshwater system, the Laurentian Great Lakes. Surprisingly, ammonia oxidizing Bacteria (AOB) related to Nitrosospira dominated over ammonia oxidizing Archaea (AOA) at most stations, even in oligotrophic lakes with extremely low substrate concentrations. Nitrite oxidizing Bacteria (NOB) Ca. Nitrotoga and Nitrospira each dominated a subset of stations, even switching within a lake. Among four ecotypes of Nitrosospira we identified, one encodes proteorhodopsin, which could enhance survival of this AOB in transparent, low nutrient lakes. Genome reconstructions for free-living AOA, AOB, and NOB indicate small genomes across all taxa and diverse adaptations to sunlight and oxidative stress. Our findings expand the known functional diversity of nitrifiers and provide the first integrated picture of freshwater nitrifier genomics and ecology. As lakes worldwide undergo rapid environmental change, understanding the relationship between microbial biodiversity and nitrogen cycling is essential for predicting future ecosystem health and services.

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“…where ln denotes the natural log, βi refers to the fitting parameters, T denotes the decimal time, Q indicates the streamflow, Q′ and T′ denote the centering variables used in the model, and ε refers to a model residual, as shown below [1,9]:…”

Section: Regression Model With Five Six and Seven Parametersmentioning

confidence: 99%

“…Pollutant loading, from nonpoint sources in particular, can pose significant problems in water bodies. To protect and improve the water quality of the Great Lakes, the Great Lakes Water Quality Agreement was established in 1972 [1]. The National Center for Water Quality Research (NCWQR) at Heidelberg University has been monitoring the nutrient loads of the major watersheds of Lake Erie since the 1970s, and many studies have analyzed the water quality characteristics using monitored water quality data.…”

Section: Introductionmentioning

confidence: 99%

Insights from an Evaluation of Nitrate Load Estimation Methods in the Midwestern United States

Park

Markus

et al. 2021

Sustainability

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This study investigated the accuracy and suitability of several methods commonly used to estimate riverine nitrate loads at eight watersheds located southwest of Lake Erie in the Midwestern United States. This study applied various regression methods, including a regression estimator with five, six, and seven parameters, an estimator enhanced by composite, triangular, and rectangular error corrections with residual and proportional adjustment methods, the weighted regressions on time, discharge, and season (WRTDS) method, and a simple linear interpolation (SLI) method. Daily discharge and nitrate concentration data were collected by the National Center for Water Quality Research. The methods were compared with subsampling frequencies of 6, 12, and 24 times per year for daily concentrations, daily loads, and annual loads. The results indicate that combinations of the seven-parameter regression method with composite residual and rectangular residual adjustments provided the best estimates under most of the watershed and sampling frequency conditions. On average, WRTDS was more accurate than the regression models alone, but less accurate than those models enhanced by residual adjustments, except for the most urbanized watershed, Cuyahoga. SLI was the most accurate in the Vermilion and Maumee watersheds. The results also provide some information about the effects of rating curve shape and slope, land use, and record length on model performance.

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A brief history of the U.S. EPA Great Lakes National Program Office's water quality survey

Cited by 36 publications

References 35 publications

Dreissena veligers in western Lake Superior – Inference from new low-density detection

Dreissena veligers in western Lake Superior – Inference from new low-density detection

Genome streamlining, proteorhodopsin, and organic nitrogen metabolism in freshwater nitrifiers

Insights from an Evaluation of Nitrate Load Estimation Methods in the Midwestern United States

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