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New flux based doseeresponse relationships for ozone for European forest tree species

Büker, P (author)
Feng, Zhaozhong (author)
Uddling, Johan, 1972 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences
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Briolat, A (author)
Alonso, R (author)
Braun, S (author)
Elvira, S (author)
Gerosa, G (author)
Karlsson, Per Erik (author)
Le Thiec, D (author)
Marzuoli, R (author)
Mills, G (author)
Oksanen, E (author)
Wieser, G (author)
Wilkinson, M (author)
Emberson, LD (author)
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 (creator_code:org_t)
Elsevier BV, 2015
2015
English.
In: Environmental Pollution. - : Elsevier BV. - 0269-7491. ; 206, s. 163-174
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • To derive O3 doseeresponse relationships (DRR) for five European forest trees species and broadleaf deciduous and needleleaf tree plant functional types (PFTs), phytotoxic O3 doses (PODy) were related to biomass reductions. PODy was calculated using a stomatal flux model with a range of cut-off thresholds (y) indicative of varying detoxification capacities. Linear regression analysis showed that DRR for PFT and individual tree species differed in their robustness. A simplified parameterisation of the flux model was tested and showed that for most non-Mediterranean tree species, this simplified model led to similarly robust DRR as compared to a species- and climate region-specific parameterisation. Experimentally induced soil water stress was not found to substantially reduce PODy, mainly due to the short duration of soil water stress periods. This study validates the stomatal O3 flux concept and represents a step forward in predicting O3 damage to forests in a spatially and temporally varying climate.

Subject headings

NATURVETENSKAP  -- Biologi -- Botanik (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Botany (hsv//eng)
LANTBRUKSVETENSKAPER  -- Lantbruksvetenskap, skogsbruk och fiske -- Skogsvetenskap (hsv//swe)
AGRICULTURAL SCIENCES  -- Agriculture, Forestry and Fisheries -- Forest Science (hsv//eng)

Keyword

Trees Ozone flux Dose-response relationships Model-based risk assessment

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