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to control SS and P loads from agricultural land must therefore be targeted within<br />
catchments to those are<strong>as</strong> where combinations of landscape and land management<br />
generate the highest pollution risk. To facilitate the cost-effective targeting of a<br />
range of land management options to mitigate SS and P export in catchments, a<br />
prototype decision support tool called PSYCHIC (Phosphorus and Sediment Yield<br />
Characterization In Catchments) h<strong>as</strong> been developed within two catchments in<br />
England and Wales (Hampshire Avon and Wye) with siltation and eutrophications<br />
problems (Withers and Sharpley, 2006). This paper describes the further application<br />
and testing of the PSYCHIC prototype (Tier 1 screening tool) to four catchments with<br />
varied landscapes and land management. Its potential for use <strong>as</strong> part of river b<strong>as</strong>in<br />
management planning is discussed.<br />
MODELLING APPROACH USED IN PSYCHIC<br />
PSYCHIC is used to quantify the export of sediment, particulate P and dissolved P in<br />
surface and sub-surface run-off from agricultural land and <strong>as</strong>sess their contribution<br />
relative to other ‘point’ sources of P in the catchment. PSYCHIC involves a processb<strong>as</strong>ed<br />
modelling approach that is sensitive to those land management practices<br />
which have a large influence on the mobilisation and delivery of sediment and P.<br />
The model takes account of climate, landscape and land management factors and<br />
utilises current knowledge on the processes of sediment and P export. Predictions<br />
of the spatial and temporal distribution of flow, and SS and P loads, are provided on<br />
a monthly time step and at both 1 km 2 and field scales within a GIS environment. The<br />
decision support tool integrates model predictions of catchment are<strong>as</strong> with a high<br />
risk of export or ‘hotspots’ (Tier 1 screening tool) with field scale risk <strong>as</strong>sessment of<br />
contributing are<strong>as</strong> on farms (Tier 2) to help identify appropriate best management<br />
practices (BMPs) to improve nutrient and land management. PSYCHIC then<br />
<strong>as</strong>sesses the impact of the selected BMPs on sediment and P export at the field<br />
and catchment scale. Further description of the PSYCHIC model structure and its<br />
parameters is given by Davison et al. (2006).<br />
APPLICATION OF THE TIER 1 SCREENING TOOL TO PILOT CATCHMENTS<br />
The Tier 1 screening tool within PSYCHIC w<strong>as</strong> applied to the four pilot catchments<br />
(Hampshire Avon near Salisbury, Teme in Shropshire/Worcestershire, Wensum in<br />
Norfolk and B<strong>as</strong>senthwaite Lake in Cumbria) selected <strong>as</strong> part of the governments<br />
Catchment Sensitive Farming Initiative (Defra, 2004). These are all priority<br />
catchments suffering from sediment and/or P pollution and catchment officers<br />
have been designated to encourage farmers to adopt Good Agricultural Practice<br />
and additional targeted me<strong>as</strong>ures chosen from a range of options under Defra’s<br />
countryside stewardship schemes. PSYCHIC is used to inform which me<strong>as</strong>ures<br />
would be most cost-effective to tackle local water quality issues and where they<br />
need to be targeted within the catchment area. PSYCHIC input data (derived from<br />
the MAGPIE system, Lord and Anthony, 2000) and results were mapped, and risk<br />
factors and resulting mapped estimates of sediment and P transfer presented to<br />
catchment stakeholders.<br />
The catchments differ widely in their climate, topography, land use and farming<br />
practices (Table 1). The Hampshire Avon is a chalkland catchment with mixed farming,<br />
variable relief and very low river drainage density; the Wensum catchment is largely<br />
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