Catchment land use effects on fluxes and concentrations of organic and inorganic nitrogen in streams

Vogt, E.; Braban, Christine F.; Dragosits, Ulrike; Durand, Patrick; Sutton, Mark A.; Theobald, Mark R.; Rees, Robert M.; McDonald, Chris; Murray, Scott; Billett, Michael F.

doi:10.1016/j.agee.2014.10.010

Cited by 17 publications

(10 citation statements)

References 58 publications

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“…These findings are supported by several recent studies which show the uniqueness of spatial water quality composition for larger scales based on stream sampling campaigns (e.g. Lam et al, 2012;Vogt et al, 2015) or based on modelling approaches describing the spatial distribution of nitrate export in stream networks (e.g. Isaak et al, 2014).…”

Section: Discussionsupporting

confidence: 84%

“…The temporal variations of hydrological and nitrate export processes along different spatial scales have been reproduced by varying modelling approaches (e.g. Donner et al, 2002;Huang et al, 2014;Johnes, 1996;Smethurst et al, 2014;Wagenschein and Rode, 2008;Wriedt and Rode, 2006). Nevertheless, there is still a lack of knowledge on how the spatial patterns of in-stream nitrate concentrations evolve throughout stream networks and whether these patterns are constant over time or vary in time.…”

Section: Introductionmentioning

confidence: 99%

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Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment

Schuetz¹,

Gascuel²,

Durand³

et al. 2015

Preprint

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Abstract. Several controls are known to affect water quality of stream networks during flow recession periods such as solute leaching processes, surface water – groundwater interactions as well as biogeochemical in-stream retention processes. Throughout the stream network combinations of specific water and solute export rates and local in-stream conditions overlay the biogeochemical signals from upstream sections. Therefore, upstream sections can be considered as functional units which could be distinguished and ordered regarding their relative contribution to nutrient dynamics at the catchment outlet. Based on synoptic sampling of flow and nitrate concentrations along the stream in an agricultural headwater during the summer flow recession period, we determined spatial and temporal patterns of water quality for the whole stream. A data-driven, in-stream-mixing-and-removal model was developed and applied for analyzing the spatio-temporal in-stream retention processes and their effect on the spatio-temporal fluxes of nitrates from sub-catchments. Thereby, we have been able to distinguish between nitrate sinks and sources per stream reaches and sub-catchments. For nitrate sources we have determined their permanent and temporally impact on stream water quality and for nitrate sinks we have found increasing nitrate removal efficiencies from up- to downstream. Our results highlight the importance of distinct nitrate source locations within the watershed for in-stream concentrations and in-stream removal processes, respectively. Thus, our findings contribute to the development of a more dynamic perception of water quality in streams and rivers concerning ecological and sustainable water resources management.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment

Schuetz¹,

Gascuel²,

Durand³

et al. 2015

Preprint

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“…A significant decrease of DO concentration coupled with a rapid decrease in pH (Fig. 4) may reduce in-stream nitrification of NH 4 to NO 3 (Dai et al, 2008;Vogt et al, 2015), further contributing to the dominance of NH 4 in HD since 2006. Given higher percentages of agricultural lands with improved drainage and developed lands (Table 1) and greater N enrichment in agricultural soils and groundwater (Fig.…”

Section: Influence Of Nitrogen Sources and Land Use On Riverine Nitromentioning

confidence: 99%

“…Enrichment of N leads to eutrophication of surface waters causing degradation of aquatic ecosystems, such as toxic algal blooms, low dissolved oxygen, depletion of fish populations, and loss of aquatic biodiversity (Kettering et al, 2012;Vogt et al, 2015;Hofmeier et al, 2015). To effectively guide watershed management to control N pollution, it is essential to quantify the response of riverine N export to changes in sources and levels of anthropogenic N inputs (Hayakawa et al, 2009;Chen et al, 2014a).…”

Section: Introductionmentioning

confidence: 99%

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Chen

Guo

et al. 2016

Agriculture, Ecosystems & Environment

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A B S T R A C TThis study quantified the long-term response of riverine total nitrogen (TN) export to changes in net anthropogenic nitrogen inputs to forest/agricultural (NANI FA ) and residential (NANI R ) systems across three catchments affected by low (LD), medium (MD), and high (HD) human impacts in eastern China. Annual NANI FA increased by 63-87% in 1980-1999, followed by 0% (LD), À23% (MD) and À40% (HD) changes of NANI FA in 2000-2010, resulting in a net increase of 56-78% in NANI FA in 1980-2010. Annual NANI R increased by 101-152% in the three catchments in 1980-2010. Land-use showed a 58-65% increase in developed land area (D%) and a 96-108% increase in agricultural lands with improved drainage systems (AD%) over the study period. In response to changes in NANI FA , NANI R and land-use, riverine TN flux continuously increased 3.0-to 6.1-fold in the three catchments over the past 31 years. For each catchment, an empirical model incorporating annual NANI FA , NANI R , water discharge, D%, and AD% was developed (R 2 = 0.93 À 0.97) for predicting and quantifying sources of annual riverine TN fluxes. The model estimated that NANI FA , NANI R and other N sources (e.g., natural background, legacy, and industrial N sources) contributed 27-90%, 0-45%, and 10-28% of riverine TN fluxes, respectively. Model results were consistent with spatio-temporal changes of riverine chloride, ammonium, nitrate, dissolve oxygen and pH, as well as changes in available N levels in agricultural soils. In terms of N source management, reduction of NANI FA in catchment LD and NANI R in catchment HD would have the greatest impact on reducing riverine TN fluxes. Furthermore, changes in land use and climate as well as legacy N should be considered in developing N pollution control strategies.

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“…Organic N export from agricultural land is often overlooked as a significant pathway of diffuse N loss from pasture lands [55,56], which, in some instances, can be of similar magnitude to NO x -N losses. The estimated load of TON exiting from our wetland was 6.5 kg, which equates to 1.3 kg ha −1 .…”

Section: Discussionmentioning

confidence: 99%

Effectiveness of a Natural Headwater Wetland for Reducing Agricultural Nitrogen Loads

Uuemaa

Palliser

Hughes

et al. 2018

Water

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Natural wetlands can play a key role in controlling non-point source pollution, but quantifying their capacity to reduce contaminant loads is often challenging due to diffuse and variable inflows. The nitrogen removal performance of a small natural headwater wetland in a pastoral agricultural catchment in Waikato, New Zealand was assessed over a two-year period (2011)(2012)(2013). Flow and water quality samples were collected at the wetland upper and lower locations, and piezometers sampled inside and outside the wetland. A simple dynamic model operating on an hourly time step was used to assess wetland removal performance for key N species. Hourly measurements of inflow, outflow, rainfall and Penman-Monteith evapotranspiration estimates were used to calculate dynamic water balance for the wetland. A dynamic N mass balance was calculated for each N component by coupling influent concentrations to the dynamic water balance and applying a first order areal removal coefficient (k 20 ) adjusted to the ambient temperature. Flow and water quality monitoring showed that wetland was mainly groundwater fed. The concentrations of oxidised nitrogen (NO x -N, Total Organic Nitrogen (TON) and Total-N (TN) were lower at the outlet of the wetland regardless of flow conditions or seasonality, even during winter storms. The model estimation showed that the wetland could reduce net NO x -N, NH 4 -N, TON and TN loads by 76%, 73%, 26% and 57%, respectively.

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Catchment land use effects on fluxes and concentrations of organic and inorganic nitrogen in streams

Cited by 17 publications

References 58 publications

Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment

Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment

Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010

Effectiveness of a Natural Headwater Wetland for Reducing Agricultural Nitrogen Loads

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