The role of indicator choice in quantifying the threat of atmospheric ammonia to the ‘Natura 2000’ network

Hallsworth, Stephen; Dore, Anthony J.; Bealey, W.J.; Dragosits, U.; Vieno, Massimo; Hellsten, Sofie; Tang, Y.S.; Sutton, Mark A.

doi:10.1016/j.envsci.2010.09.010

Cited by 51 publications

(58 citation statements)

References 17 publications

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“…Dore et al (2012) compared CL exceedances in the UK using data at 1 km and 5 km resolution. In contrast to results of Hallsworth et al (2010) for CLEs, CL exceedances were not highly sensitive to grid resolution. This was attributed to the contribution of N wet deposition (which shows less local variability than dry deposition) and that all ecosystem types were included (not only nature reserves protected under the Habitat Directive, as in Hallsworth et al, 2010).…”

Section: Introductioncontrasting

confidence: 90%

“…Asman et al, 1998;Duyzer, 1994). Hallsworth et al (2010) validated the FRAME model at a 1 km resolution for NH 3 concentrations and Dore et al (2012) for NO 2 concentrations. Dore et al (2007) validated the FRAME model for aerosol concentrations and wet deposition at 5 km resolution.…”

Section: Assessment Of Potential Environmental Impactsmentioning

confidence: 82%

“…While the 1 km resolution version from FRAME performs well at the national scale (Hallsworth et al, 2010), this comparison emphasises the need for high resolution emission data obtained at a farm and field level for assessments of environmental impacts from NH 3 .…”

Section: Deposition and Critical Load (Cl) Exceedancementioning

confidence: 95%

“…Hallsworth et al (2010) highlighted the problem of modelling NH 3 dispersion at relatively coarse scales, such as 5 km resolution, due to the high spatial variability of NH 3 emissions and showed that 5 km modelling underestimated the impact of NH 3 concentrations on semi-natural areas close to intensive agricultural areas. However, at UK national scale, standard assessments of the impact of N deposition are based on 5 km resolution modelling (Dore et al, 2007;Matejko et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Ammonia dispersion and deposition was modelled at a 25 m resolution, and the environmental impact of the local NH 3 sources assessed and compared with national 1 km resolution estimates (Hallsworth et al, 2010). The results have general implications for the sustainable management of landscapes that combine both intensive livestock agriculture and ecosystems of relevance for environmental protection.…”

Section: Introductionmentioning

confidence: 99%

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Heterogeneity of atmospheric ammonia at the landscape scale and consequences for environmental impact assessment

Vogt

Dragosits

Braban

et al. 2013

Environmental Pollution

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Scott; Rees, Robert M.; Sutton, Mark A. 2013. Heterogeneity of atmospheric ammonia at the landscape scale and consequences for environmental impact assessment.Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. AbstractWe examined the consequences of the spatial heterogeneity of atmospheric ammonia (NH 3 ) by measuring and modelling NH 3 concentrations and deposition at 25 m grid resolution for a rural landscape containing intensive poultry farming, agricultural grassland, woodland and moorland. The emission pattern gave rise to a high spatial variability of modelled mean annual NH 3 concentrations and dry deposition. Largest impacts were predicted for woodland patches located within the agricultural area, while larger moorland areas were at low risk, due to atmospheric dispersion, prevailing wind direction and low NH 3 background. These high resolution spatial details are lost in national scale estimates at 1 km resolution due to less detailed emission input maps. The results demonstrate how the spatial arrangement of sources and sinks is critical to defining the NH 3 risk to seminatural ecosystems. These spatial relationships provide the foundation for local spatial planning approaches to reduce environmental impacts of atmospheric NH 3 . Capsule:Fine scale resolution modelling to reproduce the spatial heterogeneity of atmospheric NH 3 concentrations and deposition is critical for NH 3 risk assessment on sensitive ecosystems. Highlights:• Local farm inventory provided field-level emissions for high resolution modelling• Model-derived concentrations were compared against intensive spatial measurements• Spatial arrangement of NH 3 sources and sinks is critical to environmental impact• Average national emission factors were not appropriate for an NH 3 risk assessment• Modelling at 1 km resolution did not capture the full spatial variability of NH 3

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Section: Introductioncontrasting

confidence: 90%