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New flux based dose–response relationships for ozone for European forest tree species

Authors: Büker, Patrick; Feng , Zaozhong; Uddling, Johann; Briolat, Alain; Alonso, Rocio; Braun,Sabine; Elvira, Susana; +9 Authors

New flux based dose–response relationships for ozone for European forest tree species

Abstract

To derive O3 dose-response 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.

Countries
France, France, United Kingdom, Italy, France
Keywords

570, dose–response relationships, [SDE.MCG]Environmental Sciences/Global Changes, Climate Change, Dose-response relationships, Forests, Ecology and Environment, Dose–response relationships, Atmospheric Sciences, Trees, Soil, Ozone, Species Specificity, Biomass, ozone flux, 580, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, Air Pollutants, Dose-Response Relationship, Drug, Water, Ozone flux, Plant Transpiration, trees, Models, Theoretical, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Europe, [ SDE.MCG ] Environmental Sciences/Global Changes, [SDE.MCG] Environmental Sciences/Global Changes, Model-based risk assessment, model-based risk assessment, Plant Stomata, Linear Models, Seasons, [SDE.BE]Environmental Sciences/Biodiversity and Ecology

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    108
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
108
Top 1%
Top 10%
Top 1%
hybrid