Steady state critical loads of acidity for sulphur and nitrogen: a multi-receptor, multi-criterion approach.
The critical load approach to emission reductions has become an important element of the United Nations Economic Commission for Europe (UNECE) Convention on Long-Range Transboundary Air Pollution (CLRTAP). The steady state mass balance approach (SSMB) is the most widely used method in Europe for estimating critical loads, typically applied to forest ecosystems on mineral soils in conjunction with a base cation to aluminium (Bc:Al) ratio using a default critical limit of 1.0. The 'typical' approach has been expanded in this paper by: inclusion of a broader range of natural and semi-natural receptor ecosystems; inclusion of multiple chemical criterion for each receptor; and an attempt to include organic soils (peatlands). Critical loads of acidity were estimated for the Republic of Ireland using four receptor ecosystems (coniferous forest, deciduous forest, natural grasslands and moors and heathlands) and seven chemical criteria. The dominant chemical criteria, in the determination of critical loads, were based on a critical pH limit for mineral soils or a critical pH shift in relation to pristine conditions for organic soils. Approximately 68 and 26% of the final distribution of critical loads were estimated using these criteria, respectively. The 5th-percentile critical loads of acidity were more sensitive than those previously estimated for Ireland due to the inclusion of organic soils. Furthermore, coniferous ecosystems had the lowest critical loads due to the high percentage occurring on organic soils, and the removal of base cations through harvesting. The results demonstrate that it may be more appropriate to use multiple criteria and receptors to ensure adequate protection of biological indicators. However, it is important that appropriate critical limits are chosen to protect the biological indicators and receptor ecosystems from long-term damage.
Aherne
J
J
Department of Environmental Resource Management, University College, Belfield, Dublin, Ireland. julian.aherne@ucd.ie
Farrell
E P
EP
D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods* / Q000706:statistics & numerical data; D006863:Hydrogen-Ion Concentration; D007494:Ireland; D009584:Nitrogen / Q000032:analysis*; D006109:Poaceae; D012016:Reference Values; D012987:Soil; D013455:Sulfur / Q000032:analysis*; D014197:Trees
D012987:Soil; D013455:Sulfur; D009584:Nitrogen