2014
DOI: 10.2134/jeq2014.04.0193
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Intensive Management in Grasslands Causes Diffuse Water Pollution at the Farm Scale

Abstract: Arable land use is generally assumed to be the largest contributor to agricultural diffuse pollution. This study adds to the growing evidence that conventional temperate intensively managed lowland grasslands contribute significantly to soil erosion and diffuse pollution rates. This is the first grassland study to monitor hydrological characteristics and multiple pollutant fluxes ), suggesting that intensively managed grasslands pose a significant threat to receiving surface waters. Such sediment and nutrient … Show more

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Cited by 33 publications
(26 citation statements)
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References 69 publications
(99 reference statements)
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“…The values here are similar to those reported by Thompson et al (2014) in two other intensively managed grassland catchments in Ireland; 8 % exceedance was reported in a moderately drained catchment in Co. Down and 18 % exceedance in a poorly drained catchment in Co. Louth. Although the instantaneous exceedance of the FFD metric has been reported in other sediment studies Peukert et al, 2014;Thompson et al, 2014), the transferability of this coarse threshold (compliance to which requires an undefined annual sample number) to highresolution SS data is questionable. Average SSYs in the five catchments were 9, 25, 12, 12 and 24 t km −2 yr −1 at Grassland A, Grassland B, Grassland C, Arable A and Arable B, respectively.…”
Section: Suspended Sediment Metrics In Five Agricultural Catchmentsmentioning
confidence: 88%
“…The values here are similar to those reported by Thompson et al (2014) in two other intensively managed grassland catchments in Ireland; 8 % exceedance was reported in a moderately drained catchment in Co. Down and 18 % exceedance in a poorly drained catchment in Co. Louth. Although the instantaneous exceedance of the FFD metric has been reported in other sediment studies Peukert et al, 2014;Thompson et al, 2014), the transferability of this coarse threshold (compliance to which requires an undefined annual sample number) to highresolution SS data is questionable. Average SSYs in the five catchments were 9, 25, 12, 12 and 24 t km −2 yr −1 at Grassland A, Grassland B, Grassland C, Arable A and Arable B, respectively.…”
Section: Suspended Sediment Metrics In Five Agricultural Catchmentsmentioning
confidence: 88%
“…Far less is known about the efficacy of DPMMs at the catchment scale (Cherry et al, 2008;McGonigle et al, 2014), which is a non-trivial, spatially complex problem to unravel (Lloyd et al, 2014). A major constraint on the design of effective DMPPs arises from the fact that studies have tended to focus on one or two pollutant forms (Hefting and de Klein, 1998;LeedsHarrison et al, 1999;Kelly et al, 2007;Liu et al, 2008), rather than on multiple parameters that are the norm for aquatic ecosystems (Peukert et al, 2014). Without consideration of multiple chemical forms or 'species' which may generate an ecological response, the potential for pollution swapping between forms when DPMMs are applied, and continued adverse impacts on the receiving ecosystem can be overlooked (Stevens and Quinton, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…The dynamics of flow pathway partitioning during storm events and the consequential output of agricultural contaminants has been explored (Delpla et al, 2011;Blanchard and Lerch, 2000;Gao et al, 2004;Zhang et al, 1997;Malone et al, 2004), but there is a lack of experimental data quantifying contaminant export via individual flow pathways due to methodological challenges. In a field context it is challenging to monitor multiple flow pathways without destructive sampling, although new research platforms are now making this type of research more possible (see Peukert et al (2014) for an example). There are also challenges when choosing field sites that represent transport regimes across different slope angles or to account for other environmental variables.…”
Section: E M Lloyd Et Al: Runoff-and Erosion-driven Transport Omentioning
confidence: 99%