Title of article :
Mapping ecological risk of agricultural pesticide runoff
Author/Authors :
Carola Alexandra Schriever ?، نويسنده , , Matthias Liess، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
A screening approach for the EU-scale is introduced and validated that predicts pesticide runoff and related ecological risk for
aquatic communities in small agricultural streams. The approach is based on the runoff potential (RP) of stream sites, by a spatially
explicit calculation based on pesticide use, precipitation, topography, land use and soil characteristics in the near-stream
environment. The underlying simplified model complies with the limited availability and resolution of data at larger scales. RP is
transformed to ecological risk by means of a runoff–response relationship between RP and invertebrate community composition
that results from a large-scale investigation and considers the influence of landscape-mediated recovery pools. Community
composition is expressed as abundance of SPEcies At Risk (SPEAR) i.e. species that are potentially affected by pesticides because
of physiological sensitivity to organic pollutants and ecological traits. The SPEAR concept was applied because it provides
powerful community descriptors that are independent of habitat parameters and support comparison of pesticide effects between
different geographical regions. Raster maps for the EU before the 2004 enlargement indicate that ecological risk from pesticide
runoff is potentially low for streams in 34% of the grid cells with non-irrigated arable land (mostly northern countries, predicted
effects at ≤20% of the streams per cell). In contrast, ecological risk is very high in 19% of the grid cells (central and southern
countries, predicted effects at N90% of the streams per cell). Field investigations showed that the screening approach produced
appropriate estimates of ecological risk from pesticide runoff for selected regions in Finland, France and Germany.
Keywords :
Risk characterization , Runoff , GIS , ecological effects , Landscape , Modelling
Journal title :
Science of the Total Environment
Journal title :
Science of the Total Environment