2019
DOI: 10.1016/j.scitotenv.2019.02.097
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Differences in soil organic carbon and soil erosion for native pasture and minimum till agricultural management systems

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Cited by 20 publications
(13 citation statements)
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References 57 publications
(60 reference statements)
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“…On average, it is estimated that 0.029 t/ha/year of sediment is generated across the whole catchment from the hillslope using SedNet. This is generally consistent with the soil erosion rates found in studies in Krui subcatchments and similar large catchment scale studies (Armstrong & Mackenzie, ; Hancock et al, ; Martinez et al, ; Wells et al, ) but is lower than figures published in the NLWRA for national and NSW sites (Lu et al, ; NLWRA, ; Wilkinson et al, ). Similarly, bank and gully erosion rates (0.02–0.001 t/ha/year) are orders of magnitude lower than rates found by the NLWRA () for NSW.…”
Section: Discussionsupporting
confidence: 87%
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“…On average, it is estimated that 0.029 t/ha/year of sediment is generated across the whole catchment from the hillslope using SedNet. This is generally consistent with the soil erosion rates found in studies in Krui subcatchments and similar large catchment scale studies (Armstrong & Mackenzie, ; Hancock et al, ; Martinez et al, ; Wells et al, ) but is lower than figures published in the NLWRA for national and NSW sites (Lu et al, ; NLWRA, ; Wilkinson et al, ). Similarly, bank and gully erosion rates (0.02–0.001 t/ha/year) are orders of magnitude lower than rates found by the NLWRA () for NSW.…”
Section: Discussionsupporting
confidence: 87%
“…Similarly, the agreement between the estimated suspended sediment concentrations and observed data indicates that the two datasets have performed well in the model. Information from landholders indicates that land use has been consistent across the catchment since 1975 (Wells et al, ), and so the data used here are believed to be representative of current catchment conditions. As a result, historical (over a sufficient temporal range and during representative conditions) and modelled data can be used to overcome the issue of poor flow data availability.…”
Section: Discussionmentioning
confidence: 99%
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