Nutrient and suspended-sediment concentrations in the Maumee River and tributaries during 2019 rain-induced fallow conditions

Williamson, Tanja N.; Shaffer, Kimberly H.; Runkle, D.L.; Hardebeck, Matthew J.; Dobrowolski, Edward G.; Frey, Jeffrey W.; Baker, Nancy T.; Collier, Katie M.; Huitger, Carrie A.; Kula, Stephanie P.; Haefner, Ralph J.; Hartley, Lisa M.; Crates, Hunter F.; Finnegan, Dennis P.; Reithel, Nicholas J.; Toussant, Chad A.; Weaver, Thomas

doi:10.1016/j.jglr.2021.10.004

Cited by 8 publications

(5 citation statements)

References 49 publications

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“…While not a focus of this study, our results highlight the within‐year variability in the amount and stoichiometry of C, N, and P loading to lakes (Supporting Information Fig. S4), variability that has been reported elsewhere to impact lake metabolism (Zwart et al 2017; Williamson et al 2021). Because constituent loading rates are generally related to the volume of water entering a lake from the catchment (Carpenter et al 2015; Williamson et al 2021), changes in hydrology have potential to affect metabolism in lakes (Hrycik et al 2021).…”

Section: Discussionsupporting

confidence: 68%

“…S4), variability that has been reported elsewhere to impact lake metabolism (Zwart et al 2017;Williamson et al 2021). Because constituent loading rates are generally related to the volume of water entering a lake from the catchment (Carpenter et al 2015;Williamson et al 2021), changes in hydrology have potential to affect metabolism in lakes (Hrycik et al 2021). A more detailed analysis of seasonal patterns in load vs. lake nutrients will further improve understanding and prediction of lake metabolism under future environmental changes that are expected to change the timing and magnitude of hydrologic loading events (Raymond et al 2016;Wu and Yao 2022).…”

Section: Ongoing Anthropogenic Factors Affecting Stream Inputs and Im...mentioning

confidence: 93%

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Response of lake metabolism to catchment inputs inferred using high‐frequency lake and stream data from across the northern hemisphere

Corman,

Zwart,

Klug

et al. 2023

Limnology & Oceanography

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In lakes, the rates of gross primary production (GPP), ecosystem respiration (R), and net ecosystem production (NEP) are often controlled by resource availability. Herein, we explore how catchment vs. within lake predictors of metabolism compare using data from 16 lakes spanning 39°N to 64°N, a range of inflowing streams, and trophic status. For each lake, we combined stream loads of dissolved organic carbon (DOC), total nitrogen (TN), and total phosphorus (TP) with lake DOC, TN, and TP concentrations and high frequency in situ monitoring of dissolved oxygen. We found that stream load stoichiometry indicated lake stoichiometry for C : N and C : P (r2 = 0.74 and r2 = 0.84, respectively), but not for N : P (r2 = 0.04). As we found a strong positive correlation between TN and TP, we only used TP in our statistical models. For the catchment model, GPP and R were best predicted by DOC load, TP load, and load N : P (R2 = 0.85 and R2 = 0.82, respectively). For the lake model, GPP and R were best predicted by TP concentrations (R2 = 0.86 and R2 = 0.67, respectively). The inclusion of N : P in the catchment model, but not the lake model, suggests that both N and P regulate metabolism and that organisms may be responding more strongly to catchment inputs than lake resources. Our models predicted NEP poorly, though it is unclear why. Overall, our work stresses the importance of characterizing lake catchment loads to predict metabolic rates, a result that may be particularly important in catchments experiencing changing hydrologic regimes related to global environmental change.

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Section: Discussionsupporting

confidence: 68%

Section: Ongoing Anthropogenic Factors Affecting Stream Inputs and Im...mentioning

confidence: 93%

Response of lake metabolism to catchment inputs inferred using high‐frequency lake and stream data from across the northern hemisphere

Corman,

Zwart,

Klug

et al. 2023

Limnology & Oceanography

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“…However, this end point integrates the availability and dynamics of P at spatial and temporal scales that directly reflect land management. Variability in P concentrations and loads can be assessed throughout the Maumee River Basin by incorporating edge-of-field monitoring (Hanrahan et al, 2020), streams of various sizes and land-use distributions (Williamson et al, 2021), and a nested integration of edge-of-field data with concentrations observed downstream in the Maumee River system (King et al, 2017).…”

Section: Core Ideasmentioning

confidence: 99%

“…Total P samples were digested with sulfuric acid, potassium sulfate, and mercury sulfate and analyzed by colorimetry (USEPA, 1974), DP samples were processed through an ascorbic acid reduction and colorimetry (American Public Health Association, American Water Works Association, Water Environment Federation, 2021b), and SS was measured by filtration (ASTM, 2006). Concentrations in both stream and field samples were integrated with flow and aggregated as daily loads (Koltun et al, 2006;Williamson et al, 2021). Particulate P was estimated as TP -DP, shown to be accurate to within 4-5% (Baker et al, 2014), and normalized for SS (P SS = [TP -DP]/SS; mg P kg -1 sediment) for both concentrations and loads.…”

Section: Monitoring and Water Quality Samplingmentioning

confidence: 99%

“…Comparison of concentrations in headwaters such as Black Creek (Hanrahan et al, 2020;Williamson et al, 2021) to those at the terminus (Choquette et al, 2019;King et al, 2017) indicates that P is stored in the stream system, but the pool of P sorbed to streambed sediment is poorly quantified (Withers & Jarvie, 2008). Base-flow P SS may be the best indication of what is stored in the streambed.…”

Section: Event Characterization As a Function Of The Sample With The ...mentioning

confidence: 99%

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Phosphorus sources, forms, and abundance as a function of streamflow and field conditions in a Maumee River tributary, 2016–2019

2021

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Total phosphorus (TP), dissolved P (DP), and suspended sediment (SS) were sampled in Black Creek, Indiana, monthly during base flow and for 100 storm events during water years 2016-2019, enabling analysis of how each of these varied as a function of streamflow and field conditions at nested edge-of-field sites. Particulate P was normalized for SS (P SS = [TP − DP]/SS). Streamflow events were differentiated by maximum TP concentrations co-occurring with maximum SS (SED) or DP (SOL). The combination of new precipitation and high antecedent soil-water storage during months when fields were exposed coincided with higher streamflow that drove SED events. These SED events carried more SS, including sediment eroded from streambanks that added sediment P but also may have provided for sorption of DP. During SOL events, DP was higher and contributed approximately half of TP; SS was lower. These SOL events had higher P SS , more similar to that in base flow as well as composited samples of overland flow and tile-drain discharge from fields. Baseflow samples had significantly higher P SS concentrations than most event samples, with ≤25 times enrichment relative to soil P concentrations in fine-grained source material. Combining base-flow and event samples showed that P SS integrates SS, DP, and streamflow. Addition of new suspended sediment during events may provide for sorption of DP during and after events and storage in the system, delaying delivery of this P to Lake Erie relative to what would be expected for the dissolved form but adding to the legacy P stored in the stream system.Abbreviations: DP, dissolved phosphorus; HAB, harmful algal bloom; max-TP, event sample that had the maximum total phosphorus concentration for that event; P SS , particulate phosphorus normalized for suspended sediment; SED, event with maximum total phosphorus sample concentration co-occurring with maximum suspended sediment concentration; SOL, event with maximum total phosphorus sample concentration co-occurring with maximum dissolved phosphorus concentration; SS, suspended sediment; TOC, total organic carbon; TP, total phosphorus; WLEB, western Lake Erie Basin; WY, water year.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Sediment budget of a Maumee River headwater tributary: how streambank erosion, streambed-sediment storage, and streambed-sediment source inform our understanding of legacy phosphorus

Williamson,

Fitzpatrick,

Kreiling

et al. 2024

J Soils Sediments

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Objective We described source and phosphorus (P) retention potential of soft, fine-grained, streambed sediment and associated phosphorus (sed-P) during summer low-flow conditions. Combining in-channel, sed-P storage with relative age provided context on relevance to western Lake Erie Basin management goals. Methods In 2019, rapid geomorphic assessment (30 reaches) compared streambed-sediment storage (S) to streambank erosion (E), providing annual sediment budgets (S:E). Streambed sediment (13 reaches) was fingerprinted and analyzed for sed-P. The P saturation ratio (PSR; four reaches) quantified potential sorption/desorption of dissolved P (DP) between the water column and streambed sediment. Analyses were supplemented with data from 2017 and 2021. The ratio of two fallout radionuclides, beryllium-7 (54-day half-life) and excess lead-210 (22.3 years), apportioned “new” sediment based on time since rainfall contact. Results Streambed sediment was mostly streambank (54–96%) for contributing areas > 2.7 km2; for upstream reaches, a larger percentage was apportioned as upland (cropland, pasture, forest, and road), with < 30% streambank. Streambank erosion correlated with contributing area; however, soil type (ecoregion), stream characteristics, and land use combined to drive streambed-sediment storage. Individual-reach S:E (accumulation of 0.01–35 years of streambank erosion) differentiated erosional and depositional in-channel environments. Most reaches indicated that 17–57% of sediment had recent contact with rainfall. Streambed-sediment PSR indicated a low potential for further sorption of DP from the water column; one reach was a P source when sampled. Conclusion Sed-P was higher in streambed sediment than in source samples, which varied by land use and ecoregion. This indicates homogenization resulting from in-stream sorption of DP during sediment transport that occurs over multiple events.

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Nutrient and suspended-sediment concentrations in the Maumee River and tributaries during 2019 rain-induced fallow conditions

Cited by 8 publications

References 49 publications

Response of lake metabolism to catchment inputs inferred using high‐frequency lake and stream data from across the northern hemisphere

Response of lake metabolism to catchment inputs inferred using high‐frequency lake and stream data from across the northern hemisphere

Phosphorus sources, forms, and abundance as a function of streamflow and field conditions in a Maumee River tributary, 2016–2019

Sediment budget of a Maumee River headwater tributary: how streambank erosion, streambed-sediment storage, and streambed-sediment source inform our understanding of legacy phosphorus

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