Changes in particulate organic matter passing through a large shallow lowland lake

Piirsoo, Kai; Laas, Alo; Meinson, Pille; Nõges, Peeter; Päll, Peeter; Viik, Malle; Vilbaste, Sirje; Nõges, Tiina

doi:10.3176/proc.2018.1.05

Cited by 13 publications

(9 citation statements)

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“…Using the OWT classification performed in this study, it is possible to follow the movements of river water masses. Additionally, the OWT classification for larger lakes showed a reasonable correspondence with the results of previous studies [42][43][44][45]. Some small lakes and pixels affected by the adjacency effect were often classified as Clear.…”

Section: Discussionsupporting

confidence: 86%

Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters

et al. 2019

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The European Space Agency’s Copernicus satellites Sentinel-2 and Sentinel-3 provide observations with high spectral, spatial, and temporal resolution which can be used to monitor inland and coastal waters. Such waters are optically complex, and the water color may vary from completely clear to dark brown. The main factors influencing water color are colored dissolved organic matter, phytoplankton, and suspended sediments. Recently, there has been a growing interest in the use of the optical water type (OWT) classification in the remote sensing of ocean color. Such classification helps to clarify relationships between different properties inside a certain class and quantify variation between classes. In this study, we present a new OWT classification based on the in situ measurements of reflectance spectra for boreal region lakes and coastal areas without extreme optical conditions. This classification divides waters into five OWT (Clear, Moderate, Turbid, Very Turbid, and Brown) and shows that different OWTs have different remote sensing reflectance spectra and that each OWT is associated with a specific bio-optical condition. Developed OWTs are distinguishable by both the MultiSpectral Instrument (MSI) and the Ocean and Land Color Instrument (OLCI) sensors, and the accuracy of the OWT assignment was 95% for both the MSI and OLCI bands. To determine OWT from MSI images, we tested different atmospheric correction (AC) processors, namely ACOLITE, C2RCC, POLYMER, and Sen2Cor and for OLCI images, we tested AC processors ALTNNA, C2RCC, and L2. The C2RCC AC processor was the most accurate and reliable for use with MSI and OLCI images to estimate OWTs.

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Section: Discussionsupporting

confidence: 86%

Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters

et al. 2019

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“…Previous studies in Missouri reservoirs indicate the influence of watershed‐derived nutrients on Chl a concentrations facilitated by nutrient input and water residence time (Jones et al 2004, 2008), with longer residence times being associated with elevated atmospheric C evasion (Jones et al 2016). Watershed and lake morphological controls on long‐term patterns in allochthonous and autochthonous OM dominance were in agreement with other studies in boreal lakes (De Wit et al 2016) and shallow, lowland lakes (Piirsoo et al 2018).…”

Section: Discussionsupporting

confidence: 91%

“…The complex DOM molecules may also be photo‐oxidized, and the resulting breakdown products can further serve as a nutrient source for algal growth and potentially advance toxin‐producing cyanobacterial blooms (Orihel et al 2017; Reinl et al 2022). Similarly, particulate organic matter (POM), either transported from the watershed or produced autochthonously, can be remineralized and contribute to the aquatic C cycle (Piirsoo et al 2018).…”

Section: Refs Study Location Water Body Min A440 (M−1) Max A440 (M−1)...mentioning

confidence: 99%

Nonlinear multidecadal trends in organic matter dynamics in Midwest reservoirs are a function of variable hydroclimate

Bhattacharya

Jones

Graham

et al. 2022

Limnology & Oceanography

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Dissolved organic matter (DOM) and particulate organic matter (POM) can influence biogeochemical processes in aquatic systems. An understanding, however, of the source, composition, and processes driving inland reservoir organic matter (OM) cycling at a regional scale over the long term is currently unexplored. Here, we quantify decadal patterns (> 20 yr) of DOM quantity and composition and POM in 40 reservoirs in the midcontinent United States. We built 184 Random Forest models to identify how the relative influence of watershed characteristics and limnological parameters on OM dynamics may vary over time and in synchrony with hydroclimatic anomalies. The reservoir OM quantity and composition varied nonmonotonically through time and in contrast to lake browning observed in the northern hemisphere. Reservoir DOM composition switched from humic and aromatic during wet summers to aliphatic, potentially autochthonous DOM during particularly prolonged dry summers in the mid-2000s. The shift in reservoir DOM quantity and composition could be attributed to the change in time-varying control of watershed and limnological factors mediated by the hydroclimatic conditions. Watershed control (e.g., percent crops) was predominant during wet summers, while the effect of reservoir morphology (e.g., maximum depth) and water quality parameters (e.g., Secchi depth, chlorophyll a) were evident during dry summers. Thus, future predictions of drier conditions may promote "greening" with negative implications for reservoir water quality and treated drinking water. Considering the nonlinear nature of reservoir OM dynamics and its controls will help to better mitigate water quality issues in these constructed systems increasingly impacted by global changes.

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“…Similarly, the lower individual δ 13 C variability observed for larvae in the plankton-dominated habitat (up to 6.3‰) compared to that in macrophyte habitats (up to 13.2‰) reflects the larval assimilation from more homogeneous food sources than in macrophyte-dominated habitats. In the plankton-dominated habitat, the larval δ 13 C closely resembled those of POM composed mainly of phytoplankton (Piirsoo et al, 2018) and sediment, suggesting an overwhelming diet contribution from settling phytoplankton in that part of the lake.…”

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confidence: 92%

Chironomid incorporation of methane‐derived carbon in plankton‐ and macrophyte‐dominated habitats in a large shallow lake

et al. 2018

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While 13C‐depleted carbon derived from biogenic methane can substantially contribute to the benthic secondary production in deep stratified lakes, its role in shallow lakes is less clear. We investigated the dynamics of δ13C and δ15N in the larvae of Chironomus plumosus throughout an annual cycle in two ecologically distinct basins (open‐water plankton‐dominated and sheltered macrophyte‐covered) of a large (270 km2), shallow, polymictic and eutrophic lake (Võrtsjärv, Estonia, North Europe). The larval stable isotopic compositions were linked to the presence of methane‐oxidising bacteria (MOB) in larval guts and sediments. Molecular detection of MOB revealed their presence in various sediment types, but stable isotope (SI) analysis revealed clear differences in the feeding of chironomid larvae between the plankton‐ and macrophyte‐dominated habitats. In the plankton‐dominated habitat, the mean δ13C values of larvae remained relatively constant (−38.3‰ to −35.5‰) and corresponded closely to the sediment δ13C values. Mean δ13C values of chironomid larvae were generally lower in macrophyte‐dominated habitats (−43.4‰ to −33.0‰), and both seasonal and individual variation in larval δ13C values were more pronounced. MOB presence in larval guts proved a dietary contribution from biogenic methane in macrophyte‐dominated habitats. Both the SI and molecular results indicated that MOB could help support larvae even during the cold temperature‐limited and ice‐covered periods. Our study indicates that methane‐derived carbon makes a low but steady contribution to the larval chironomids throughout an annual cycle in large shallow Võrtsjärv. However, this contribution can be substantially higher in the lake habitats with abundant macrophytes. The study provides further evidence that a carbon flow pathway from biogenic methane can contribute to the benthic food web under variable habitat conditions in a shallow polymictic lake.

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Changes in particulate organic matter passing through a large shallow lowland lake

Cited by 13 publications

References 0 publications

Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters

Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters

Nonlinear multidecadal trends in organic matter dynamics in Midwest reservoirs are a function of variable hydroclimate

Chironomid incorporation of methane‐derived carbon in plankton‐ and macrophyte‐dominated habitats in a large shallow lake

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