2022
DOI: 10.1088/1748-9326/ac55b5
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Intensive agriculture, nitrogen legacies, and water quality: intersections and implications

Abstract: More than a century of land-use changes and intensive agriculture across the Mississippi River Basin (MRB) has led to a degradation of soil and water resources. Nitrogen (N) leaching from the excess application of fertilizers has been implicated in algal blooms and the development of large, coastal “dead zones.” It is, however, increasingly recognized that water quality today is a function not only of the current-year inputs but also of legacy N within the watershed—legacy that has accumulated in soil and grou… Show more

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Cited by 17 publications
(10 citation statements)
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“…The importance of the predictor variables was found to be similar at the seasonal scale, highlighting the pervasive influence of these landscape predictors (Figure S2 in Supporting Information S1). Our finding of a positive relationship between developed land and dissolved N and P concentrations is consistent with others in the GLB and across the world highlighting the role of anthropogenic land use on stream nutrient concentrations (Basu et al., 2010; Ilampooranan et al., 2022; Mooney et al., 2020; Stets et al., 2020). The positive relationship between tile drains and dissolved nutrient concentrations highlights the role of subsurface drainage networks in bypassing the nutrient‐filtering abilities of the soil and contributing to increasing concentrations of dissolved nutrients (Basu et al., 2011; Blann et al., 2009; Guan et al., 2011; K. W. King et al., 2015; M. Macrae et al., 2021; Schilling et al., 2012; Van Meter et al., 2020; Zanardo et al., 2012).…”
Section: Resultssupporting
confidence: 91%
“…The importance of the predictor variables was found to be similar at the seasonal scale, highlighting the pervasive influence of these landscape predictors (Figure S2 in Supporting Information S1). Our finding of a positive relationship between developed land and dissolved N and P concentrations is consistent with others in the GLB and across the world highlighting the role of anthropogenic land use on stream nutrient concentrations (Basu et al., 2010; Ilampooranan et al., 2022; Mooney et al., 2020; Stets et al., 2020). The positive relationship between tile drains and dissolved nutrient concentrations highlights the role of subsurface drainage networks in bypassing the nutrient‐filtering abilities of the soil and contributing to increasing concentrations of dissolved nutrients (Basu et al., 2011; Blann et al., 2009; Guan et al., 2011; K. W. King et al., 2015; M. Macrae et al., 2021; Schilling et al., 2012; Van Meter et al., 2020; Zanardo et al., 2012).…”
Section: Resultssupporting
confidence: 91%
“…Accordingly, detailed analyses of the impact of model structure and/or parameter values on the simulated build-up of soil ON have rarely been performed (but see, e.g. Ilampooranan et al, 2022;Sarrazin et al, 2022). However, as N fluxes from the soil pools propagate through the model compartments, we need to quantify and evaluate soil N legacy in water quality models to more accurately simulate N fluxes and concentrations in receiving water bodies.…”
Section: Representation Of N Legacy In Catchment Scale Water Quality ...mentioning
confidence: 99%
“…The explicit representation of one or several soil pools and, in particular, of immobile soil ON can enable simulation of N storage in soils over long timescales and thus of biogeochemical legacy effects of excessive N inputs (Figure 1). While this representation is comparably well established in current nutrient models, only very recently have some studies analysed the temporal dynamics of soil N storage in more detail (e.g., Ilampooranan et al, 2022;Lee et al, 2016;Sarrazin et al, 2022;, 2018. Accordingly, detailed analyses of the impact of model structure and/or parameter values on the simulated build-up of soil ON have rarely been performed (but see, e.g.…”
Section: Representation Of N Legacy In Catchment Scale Water Quality ...mentioning
confidence: 99%
“…Water quality models such as the Soil Water Assessment Tool (SWAT; Arnold et al, 1998), the Hydrological Predictions for the Environment (HYPE; Lindström et al, 2010) and the Integrated Catchment model (INCA; Wade et al, 2002) are widely used for simulating nitrate concentration (Wellen et al, 2015). However, the hydrological transport of these models is based on celerity rather than pore water flow velocity, which may lead to challenges in representing longer time delays in nitrate (Hrachowitz et al, 2016; Ilampooranan et al, 2022; Lutz et al, 2022). Nonetheless, incorporating TTDs into water quality models to describe hydrological transport based on pore water flow water velocity remains largely unexplored.…”
Section: Introductionmentioning
confidence: 99%