Linking carbon and nitrogen spiraling in streams

Plont, Stephen; O'Donnell, Brynn; Gallagher, Morgan T.; Hotchkiss, Erin R.

doi:10.1086/707810

Cited by 17 publications

(9 citation statements)

References 43 publications

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“…However, variation in V f can also be driven by changes in uptake ( U ), and thus increase with rates of metabolic activity (e.g. O’Brien et al., 2007; Plont et al., 2020), as we observe across our streams. Importantly, for catchments like the Miellajokka, where among‐site variation in biotic activity is driven in part by the availability of limiting nutrients (Myrstener et al., 2021), the emergent variation in biological demand can overwhelm patterns of uptake efficiency, leading to positive relationships between V f and nutrient concentrations across sites.…”

Section: Discussionsupporting

confidence: 66%

Nitrogen supply and physical disturbance shapes Arctic stream nitrogen uptake through effects on metabolic activity

et al. 2021

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Section: Discussionsupporting

confidence: 66%

Nitrogen supply and physical disturbance shapes Arctic stream nitrogen uptake through effects on metabolic activity

et al. 2021

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“…It may also suggest that the nutrient-surplus data at the local scale remained uncertain (Poisvert et al, 2017) or that, at this scale, data on agricultural practices would be more relevant and that variability in concentration depends less on the magnitude of nutrient inputs than on their locations. The catchments studied have clear seasonal dynamics in concentration, which is consist with previous observations (Minaudo et al, 2019;Abbott et al, 2018a).…”

Section: Hydrological Vs Anthropogenic Controls Of Spatial Variability In Water Qualitymentioning

confidence: 99%

Spatio-temporal controls of C–N–P dynamics across headwater catchments of a temperate agricultural region from public data analysis

Guillemot

Fovet

Gascuel‐Odoux

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Characterizing and understanding spatial variability in water quality for a variety of chemical elements is an issue for present and future water resource management. However, most studies of spatial variability in water quality focus on a single element and rarely consider headwater catchments. Moreover, they assess few catchments and focus on annual means without considering seasonal variations. To overcome these limitations, we studied spatial variability and seasonal variation in dissolved C, N, and P concentrations at the scale of an intensively farmed region of France (Brittany). We analysed 185 headwater catchments (from 5–179 km2) for which 10-year time series of monthly concentrations and daily stream flow were available from public databases. We calculated interannual loads, concentration percentiles, and seasonal metrics for each element to assess their spatial patterns and correlations. We then performed rank correlation analyses between water quality, human pressures, and soil and climate features. Results show that nitrate (NO3) concentrations increased with increasing agricultural pressures and base flow contribution; dissolved organic carbon (DOC) concentrations decreased with increasing rainfall, base flow contribution, and topography; and soluble reactive phosphorus (SRP) concentrations showed weaker positive correlations with diffuse and point sources, rainfall and topography. An opposite pattern was found between DOC and NO3: spatially, between their median concentrations, and temporally, according to their seasonal cycles. In addition, the quality of annual maximum NO3 concentration was in phase with maximum flow when the base flow index was low, but this synchrony disappeared when flow flashiness was lower. These DOC–NO3 seasonal cycle types were related to the mixing of flow paths combined with the spatial variability of their respective sources and to local biogeochemical processes. The annual maximum SRP concentration occurred during the low-flow period in nearly all catchments. This likely resulted from the dominance of P point sources. The approach shows that despite the relatively low frequency of public water quality data, such databases can provide consistent pictures of the spatio-temporal variability of water quality and of its drivers as soon as they contain a large number of catchments to compare and a sufficient length of concentration time series.

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“…• Demonstrates value of metabolism and nutrient monitoring for more holistic understanding of river ecosystem health. Halliday et al, 2016;Koenig et al, 2019;Rode et al, 2016;Sudduth et al, 2011;Yates et al, 2018), including nutrient cycling (Jarvie et al, 2018a(Jarvie et al, , 2020O'Donnell & Hotchkiss, 2019;Plont et al, 2020), the effects of climate and land use change (Cross et al, 2022;Griffiths et al, 2013;Gucker et al, 2009;Ledford et al, 2017;Yates et al, 2013), and as a tool in environmental management (Chowanski et al, 2020;Cohen et al, 2013;Halliday et al, 2015;Jankowski et al, 2021). Although many studies have examined the impacts of wastewater discharges and secondary and tertiary treatment on nutrient concentrations and loads (e.g., Billen et al, 2005;Carey & Migliaccio, 2009;Garnier et al, 2018;Jarvie et al, 2006), there remains a relative paucity of information on the effects of enhanced wastewater treatment on river metabolism.…”

Section: Core Ideasmentioning

confidence: 99%

“…Increasing availability of multiyear high temporal resolution DO timeseries are now providing new insights into drivers that shape metabolic regimes and fingerprints in different climatic regions and land use settings (Diamond et al., 2021; Ledford et al., 2021; Pearce et al., 2020). Accordingly, there is growing interest in the insights that river metabolism can provide into river ecosystem health and function (Aristi et al., 2015; Halliday et al, 2016; Koenig et al., 2019; Rode et al., 2016; Sudduth et al., 2011; Yates et al., 2018), including nutrient cycling (Jarvie et al., 2018a, 2020; O'Donnell & Hotchkiss, 2019; Plont et al., 2020), the effects of climate and land use change (Cross et al., 2022; Griffiths et al., 2013; Gucker et al., 2009; Ledford et al., 2017; Yates et al., 2013), and as a tool in environmental management (Chowanski et al, 2020; Cohen et al, 2013; Halliday et al., 2015; Jankowski et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

River metabolic fingerprints and regimes reveal ecosystem responses to enhanced wastewater treatment

Jarvie

Macrae

Anderson³

et al. 2022

J of Env Quality

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Although many studies have examined how improvements in wastewater treatment impact river nutrient concentrations and loads, there has been much less focus on measuring river metabolism to evaluate the wider aquatic ecosystem benefits of reducing nutrient inputs to rivers. The objectives of this study were to evaluate the effects of enhanced wastewater treatment (nitrification) on river metabolism in the Grand River, Canada's largest river draining into Lake Erie. Metabolic fingerprints and regimes (calculated from high-frequency dissolved oxygen [DO] measurements) were used to visualize whole-river ecosystem functional responses to these wastewater treatment upgrades. There was a 60% reduction in ecosystem respiration during summer, in response to reductions in effluent total ammonia inputs, causing a shift from net heterotrophy to net autotrophy, and contraction of river metabolic fingerprints. This resulted in major improvements in summer DO concentrations, with reductions in the percentage of days during summer that DO minima fell below waterquality guidelines for protection of aquatic early life stages, from 88% to ≤16%. The results also point to potential cascading impacts on coupled phosphorus and nitrogen cycles, which may generate further improvements in river water quality. During the summer, high rates of river metabolism and nutrient retention may result in measured water-column nutrient concentrations potentially underestimating nutrient pressures. This study also demonstrates the value of combining river metabolism with nutrient monitoring for a more holistic understanding of the role of nutrients in river ecosystem health and function.

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Linking carbon and nitrogen spiraling in streams

Cited by 17 publications

References 43 publications

Nitrogen supply and physical disturbance shapes Arctic stream nitrogen uptake through effects on metabolic activity

Nitrogen supply and physical disturbance shapes Arctic stream nitrogen uptake through effects on metabolic activity

Spatio-temporal controls of C–N–P dynamics across headwater catchments of a temperate agricultural region from public data analysis

River metabolic fingerprints and regimes reveal ecosystem responses to enhanced wastewater treatment

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