Re-eutrophication of Lake Erie: Correlations between tributary nutrient loads and phytoplankton biomass

Kane, Douglas D.; Conroy, Joseph D.; Richards, R. Peter; Baker, David B.; Culver, David A.

doi:10.1016/j.jglr.2014.04.004

Cited by 227 publications

(125 citation statements)

References 57 publications

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“…In general, the bloom is larger and starts earlier during wet years, and is smaller in dry years (Stumpf et al, 2012). The Maumee River and other rivers in the region deliver significant nutrient loads, suspended sediment and a variety of algal and cyanobacterial taxa into the Western basin Kane et al, 2014;Matisoff and Carson, 2014;Pennuto et al, 2014). As a result, the assumption that the optical properties of the water are controlled only by chlorophyll a is not valid (Ali et al, , 2014Ali and Ortiz, 2016).…”

Section: Implications For Reflectance Estimation and Atmospheric Corrmentioning

confidence: 99%

Intercomparison of Approaches to the Empirical Line Method for Vicarious Hyperspectral Reflectance Calibration

et al. 2017

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Analysis of visible remote sensing data research requires removing atmospheric effects by conversion from radiance to at-surface reflectance. This conversion can be achieved through theoretical radiative transfer models, which yield good results when well-constrained by field observations, although these measurements are often lacking. Additionally, radiative transfer models often perform poorly in marine or lacustrine settings or when complex air masses with variable aerosols are present. The empirical line method (ELM) measures reference targets of known reflectance in the scene. ELM methods require minimal environmental observations and are conceptually simple. However, calibration coefficients are unique to the image containing the reflectance reference. Here we compare the conversion of hyperspectral radiance observations obtained with the NASA Glenn Research Center Hyperspectral Imager to at-surface reflectance factor using two reflectance reference targets. The first target employs spherical convex mirrors, deployed on the water surface to reflect ambient direct solar and hemispherical sky irradiance to the sensor. We calculate the mirror gain using near concurrent at-sensor reflectance, integrated mirror radiance, and in situ water reflectance. The second target is the Lambertian-like blacktop surface at Maumee Bay State Park, Oregon, OH, where reflectance was measured concurrently by a downward looking, spectroradiometer on the ground, the aerial hyperspectral imager and an upward looking spectroradiometer on the aircraft. These methods allows us to produce an independently calibrated at-surface water reflectance spectrum, when atmospheric conditions are consistent. We compare the mirror and blacktop-corrected spectra to the in situ water reflectance, and find good agreement between methods. The blacktop method can be applied to all scenes, while the mirror calibration method, based on direct observation of the light illuminating the scene validates the results. The two methods are complementary and a powerful evaluation of the quality of atmospheric correction over extended areas. We decompose the resulting spectra using varimax-rotated, principal component analysis, yielding information about the underlying color producing agents that contribute to the Ortiz et al.Vicarious Hyperspectral Reflectance Calibration Methods observed reflectance factor scene, identifying several spectrally and spatially distinct mixtures of algae, cyanobacteria, illite, haematite, and goethite. These results have implications for future hyperspectral remote sensing missions, such as PACE, HyspIRI, and GeoCAPE.

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Section: Implications For Reflectance Estimation and Atmospheric Corrmentioning

confidence: 99%

Intercomparison of Approaches to the Empirical Line Method for Vicarious Hyperspectral Reflectance Calibration

et al. 2017

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“…Phytoplankton biomass and cHABs in Lake Erie have historically been correlated with P loading from river inflows (Kane et al, 2014;Kim et al, 2014). Calls to control eutrophication in Lake Erie have proposed targets for reduced P loading but have largely ignored N (Scavia et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Nitrogen cycling in Sandusky Bay, Lake Erie: oscillations between strong and weak export and implications for harmful algal blooms

Salk¹,

Bullerjahn²,

McKay³

et al. 2018

Biogeosciences

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Abstract. Recent global water quality crises point to an urgent need for greater understanding of cyanobacterial harmful algal blooms (cHABs) and their drivers. Nearshore areas of Lake Erie such as Sandusky Bay may become seasonally limited by nitrogen (N) and are characterized by distinct cHAB compositions (i.e., Planktothrix over Microcystis). This study investigated phytoplankton N uptake pathways, determined drivers of N depletion, and characterized the N budget in Sandusky Bay. Nitrate (NO − 3 ) and ammonium (NH + 4 ) uptake, N fixation, and N removal processes were quantified by stable isotopic approaches. Dissimilatory N reduction was a relatively modest N sink, with denitrification, anammox, and N 2 O production accounting for 84, 14, and 2 % of sediment N removal, respectively. Phytoplankton assimilation was the dominant N uptake mechanism, and NO − 3 uptake rates were higher than NH + 4 uptake rates. Riverine N loading was sometimes insufficient to meet assimilatory and dissimilatory demands, but N fixation alleviated this deficit. N fixation made up 23.7-85.4 % of total phytoplankton N acquisition and indirectly supports Planktothrix blooms. However, N fixation rates were surprisingly uncorrelated with NO − 3 or NH + 4 concentrations. Owing to temporal separation in sources and sinks of N to Lake Erie, Sandusky Bay oscillates between a conduit and a filter of downstream N loading to Lake Erie, delivering extensively recycled forms of N during periods of low export. Drowned river mouths such as Sandusky Bay are mediators of downstream N loading, but climate-change-induced increases in precipitation and N loading will likely intensify N export from these systems.

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“…Blue-green algae became second in species diversity, which corresponds to 39 % of the total number of species [19]. It may be explained by the presence of phosphorous and nitrogen compounds in water [20]. The bluegreens were mainly represented by Anabaena lemmermannii, Microcystis aeruginosa and Anabaena flos-aquae.…”

Section: Resultsmentioning

confidence: 99%

Ecological State and New Approaches to the Restoration of Lake Uvildy, Russia

Mashkova¹,

Krupnova²,

Kostryukova³

et al. 2017

GEOMATE

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Lake Uvildy is situated in the North of Chelyabinsk region. Lake Uvildy is one of the largest and the most unique of South Ural's lakes. In 1975-1977 the drought occurred and water supplies dried up in South Ural. 234 million cubic meters were moved from the Uvildy lake in Argazi reservoir, which was a source of water supply of the Chelyabinsk city. The lake's water level fell by more than 4 meters. Only in 2008 the water level returned to the previous position, but riparian vegetation was flooded. In July 2014 we carried out an ecological survey of the lake in five sites. We discovered submerged tree and shrub vegetation at 50-70 meters from the bank. Chemical analysis of water revealed the accumulation of organic substances and the transition of nitrogen from nitrate to nitrite and ammonia, of sulfur from sulfate to sulfite and hydrogen sulphide, of carbon to methane. We found blue-green algae (Microcystis, Anabaena, Oscillatoria) in all the sites. It indicates the beginning of water eutrophication. We proposed a new method of ecological restoration of the lake. In August 2014 we cleaned the bottom of the lake in two research points with a special innovative bottom-cleaning machine working both as a pump and a crusher. The research in summer 2015 showed that the water quality had significantly improved and the process of eutrophication had stopped in the points where the bottom was cleaned. Works on the lake trophicity will be continued.

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Re-eutrophication of Lake Erie: Correlations between tributary nutrient loads and phytoplankton biomass

Cited by 227 publications

References 57 publications

Intercomparison of Approaches to the Empirical Line Method for Vicarious Hyperspectral Reflectance Calibration

Intercomparison of Approaches to the Empirical Line Method for Vicarious Hyperspectral Reflectance Calibration

Nitrogen cycling in Sandusky Bay, Lake Erie: oscillations between strong and weak export and implications for harmful algal blooms

Ecological State and New Approaches to the Restoration of Lake Uvildy, Russia

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