Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4434304 | Science of The Total Environment | 2006 | 22 Pages |
Nitrogen export from diffuse and point sources and its retention in the major river basins of Finland is quantified and discussed. The estimated total export from river-basins in Finland was 119 000 tonnes N a− 1 for the period 1993 to 1998 based on N export from different land use types defined in a GIS-based assessment model, incorporated with estimates of N inputs from atmospheric deposition and point sources. Agriculture contributes 38% of the total export, varying in the range 35–85% in the south-western basins and 0–25% in the northern basins. This estimate of N export from agriculture was based on regional N balances together with data from small agricultural research catchments. Forestry contributes on average 9%, with increasing dominance towards eastern and northern parts of the country: from 2% to 15% in the southern–mid-western Finland basins to 10–30% in the large northern basins. ‘Background’ N export from forests on both mineral and organic soils contributes 27% on average; in the northern basins it may contribute from 40% up to 90% of the total load. The estimate was calculated based on practically all data available from 42 small, experimental catchments in Finland. Of the total N input to Finnish river-systems, 0% to 68% was retained in surface waters and/or peatlands, with a mean retention of 22%. The highest retention of N (36–61%) was observed in the basins with the highest lake percentages. The lowest retention (0–10%) of N was in the coastal basins with practically no lakes. In the national N mass balance, 38 000 tonnes N a− 1 (32%) was estimated as lake retention and 4000 tonnes N a− 1 (3%) as retention in peatlands. On the basis of mass balances and sensitivity analysis, retention was in most cases estimated to be in the range of 7.5–12.5 kg ha− 1a− 1 in lakes and 0–1.5 kg ha− 1a− 1 in peatlands. The model results were tested using the split-sample technique and uncertainty estimates for different data sources are provided and discussed.