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Identifying ozone-sensitive communities of (semi-)natural vegetation suitable for mapping exceedance of critical levels

Mills, G.; Hayes, F. ORCID: https://orcid.org/0000-0002-1037-5725; Jones, M.L.M. ORCID: https://orcid.org/0000-0002-4379-9006; Cinderby, S.. 2007 Identifying ozone-sensitive communities of (semi-)natural vegetation suitable for mapping exceedance of critical levels. Environmental Pollution, 146 (3). 736-743. 10.1016/j.envpol.2006.04.005

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Abstract/Summary

Using published data on the responses of individual species to ozone, 54 EUNIS (European Nature Information System) level 4 communities with six or more ozone-sensitive species (%OS) and c. 20% or more species tested for ozone sensitivity, were identified as potentially ozone-sensitive. The largest number of these communities (23) was associated with Grasslands, with Heathland, scrub and tundra, and Mires, bogs and fens having the next highest representation at 11 and 8 level 4 communities each respectively. Within the grasslands classification, E4 (Alpine and sub-alpine grasslands), E5 (Woodland fringes and clearings) and E1 (Dry grasslands) were the most sensitive with 68.1, 51.6 and 48.6%OS respectively. It is feasible to map the land-cover for these and other communities at level 2, but it may not be currently possible to map the land-cover for all communities identified to be ozone-sensitive at levels 3 and 4. Grassland communities such as alpine and sub-alpine grasslands have the highest potential sensitivity ozone, based on the responses of their component species.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1016/j.envpol.2006.04.005
Programmes: CEH Programmes pre-2009 publications > Biogeochemistry
UKCEH and CEH Sections/Science Areas: Emmett
ISSN: 0269-7491
Format Availability: Electronic, Print
Additional Keywords: ozone, semi-natural vegetation, EUNIS, communities, relative sensitivity
NORA Subject Terms: Botany
Ecology and Environment
Data and Information
Date made live: 27 Sep 2007 15:06 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/806

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