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Evaluation of simulated ozone effects in forest ecosystems against biomass damage estimates from fumigation experiments

Franz, Martina; Alonso, Rocio; Arneth, Almut 1; Büker, Patrick; Elvira, Susana; Gerosa, Giacomo; Emberson, Lisa; Feng, Zhaozhong; Le Thiec, Didier; Marzuoli, Riccardo; Oksanen, Elina; Uddling, Johan; Wilkinson, Matthew; Zaehle, Sönke
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Regional estimates of the effects of ozone pollution on forest growth depend on the availability of reliable injury functions that estimate a representative ecosystem response to ozone exposure. A number of such injury functions for forest tree species and forest functional types have recently been published and subsequently applied in terrestrial biosphere models to estimate regional or global effects of ozone on forest tree productivity and carbon storage in the living plant biomass. The resulting impacts estimated by these biosphere models show large uncertainty in the magnitude of ozone effects predicted. To understand the role that these injury functions play in determining the variability in estimated ozone impacts, we use the O-CN biosphere model to provide a standardised modelling framework. We test four published injury functions describing the leaf-level, photosynthetic response to ozone exposure (targeting the maximum carboxylation capacity of Rubisco (V$_{cmax}$) or net photosynthesis) in terms of their simulated whole-tree biomass responses against data from 23 ozone filtration/fumigation experiments conducted with young trees from European tree species at sites across Europe with a range of climatic conditions. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000088219
Veröffentlicht am 03.12.2018
Originalveröffentlichung
DOI: 10.5194/bg-15-6941-2018
Scopus
Zitationen: 13
Web of Science
Zitationen: 11
Dimensions
Zitationen: 12
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 1726-4189
urn:nbn:de:swb:90-882197
KITopen-ID: 1000088219
HGF-Programm 12.02.02 (POF III, LK 01) Vegetation climate- and land use system
Erschienen in Biogeosciences
Verlag Copernicus Publications
Band 15
Heft 22
Seiten 6941–6957
Vorab online veröffentlicht am 21.11.2018
Nachgewiesen in Scopus
Web of Science
Dimensions
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