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Phosphorus dynamics...
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Futter, MartynSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vatten och miljö,Department of Aquatic Sciences and Assessment,Trent University
(author)
Phosphorus dynamics across intensively monitored subcatchments in the Beaver River
- Article/chapterEnglish2013
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LIBRIS-ID:oai:slubar.slu.se:54023
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https://res.slu.se/id/publ/54023URI
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https://doi.org/10.5268/IW-3.2.530DOI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
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We report results from a spatially intensive monitoring and modelling study to assess phosphorus (P) dynamics in the Beaver River, a tributary of Lake Simcoe, Ontario. We established multiple monitoring stations (9 flow and 24 water quality stations) from headwaters to near the outflow that were operated for 2 field seasons, complementing longer term data from a flow monitoring site and water chemistry monitoring site. We applied the Branched-INCA-P model, which allows fully distributed simulations supported by highly distributed monitoring data. Using spatially distributed data helped better understand variable P and sediment dynamics across the catchment and identify key model uncertainties and uncertainties related to catchment P management. Measured and modelled total P concentrations often exceeded provisional water quality thresholds in many areas of the catchment and highlight the value of studying water quality across multiple subcatchments rather than at a single site. Total P export coefficients differed widely among subcatchments, ranging from 2.1-21.4 kg km(-2) y(-1) over a single year. Export coefficients were most strongly (negatively) related to the proportion of wetland cover in subcatchments. The INCA-P model captured spatial variation in P concentrations relatively well, but short-term temporal variability in the observed data was not well simulated across sites, in part due to unmodelled hydrological phenomena including beaver activity and unknown drivers of P peaks that were not associated with hydrological events.
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Oni, StephenSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vatten och miljö,Department of Aquatic Sciences and Assessment,Trent University(Swepub:slu)50711
(author)
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Sveriges lantbruksuniversitetInstitutionen för vatten och miljö
(creator_code:org_t)
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Sveriges lantbruksuniversitet
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In:Inland Waters3, s. 187-2062044-20412044-205X
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