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    Beyond nitrogen critical loads – is there a role for the ‘Ecosystem Services’ approach?

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    This paper considers the extent to which indicators of critical load exceedance capture the potential impacts of changes in nitrogen deposition on ecosystem services. It shows that there are significant links between nitrogen deposition and a large range of ecosystem services. There is potential for indicators to be adapted to provide more specific qualitative information for Natura 2000 sites of the implications of critical load exceedance for ecosystem services. For the provision of ecosystems goods (e.g. food, fuel, fibre) and water quality and erosion regulation, it is likely that quite specific information can be provided on the effects of nitrogen deposition. For others, such as pollination and cultural services, the implications for ecosystem services are likely to depend on the specific changes in species composition that are found in specific habitats and sites. The issue of climate regulation has been identified as a critical ecosystem service, but this effect is not currently considered explicitly in setting critical loads, and given the complexity of the potential effects of nitrogen deposition on different greenhouse gas fluxes, it seems impractical to include this in any simple assessment of effects of critical load exceedance. There are ecosystem services where exceedance of the established empirical critical load for nitrogen input can be a positive outcome, for example, increases in more nitrophilous species increasing productivity in certain grassland types and increased grass growth stabilising coastal dunes, and hence enhancing erosion regulation. An ecosystems approach would therefore have value in informing the prioritization of conservation management practices in areas with high nitrogen deposition, depending on the ecosystem service that is most valued at any particular site. However, given that the cause and effect relationships underlying important ecosystem services are often complex and not sufficiently understood, more data and research is needed to provide specific guidance on potential conservation priorities

    Evaluation of nitrogen indicators on ombrotrophic acid bogs: observations from a nitrogen manipulation study.

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    • Among Natura 2000 ecosystems, ombrotrophic bogs/peatlands are likely to be one of the most sensitive to reactive N deposition. • This paper briefly examines methods of evaluating species, growing on an ombrotrophic bog, to different N forms using a case study from Whim bog to illustrate peatland vegetation response to wet and dry N deposition. • Vegetation cover data are used to examine typical N indicators in terms of species richness, diversity, functional group response, Ellenberg indicator values, species cover and National Vegetation Classification (NVC). • In addition an ordination technique is applied to the data and principal response curves (PRC) generated to examine temporal community response to the N deposition. • The N indicators tested here of species richness, diversity, Ellenberg indicator values and NVC were insensitive to the apparent effects of the N deposition treatments. This is despite significant responses at both the species and community levels detected using a weighted cover index and PRC. • In addition responses varied with N form and particular functional groups e.g. species from the ericoids or Sphagnum show differential responses: Calluna responds negatively to ammonia whereas Vaccinium myrtillus and Empetrum nigrum have responded positively, the hummock forming S.capillifolium is negatively affected by N while the wetter loving S. fallax increased in response to N additions. • The results emphasise that indicators represent a range of sensitivities and a considered approach to the choice of indicator needs to be applied with reference to the ecosystem under question and form of nitrogen applied. • Future research efforts should concentrate on developing predictive indicators with sufficient sensitivity to show species level change that can be used to detect and predict loss of important peatland species or groups
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