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Carbon-nitrogen interactions in European forests and semi-natural vegetation - Part 2: Untangling climatic, edaphic, management and nitrogen deposition effects on carbon sequestration potentials

Sutton, M. A.; Flechard, C. R.; Van Oijen, M.; Cameron, D. R.; De Vries, W.; Ibrom, A.; Buchmann, N.; DIse, N. B.; Janssens, I. A.; Neirynck, J.; Montagnani, L.; Varlagin, A.; Loustau, D.; Legout, A.; Ziemblińska, K.; Aubinet, M.; Aurela, M.; Chojnicki, B. H.; Drewer, J.; Eugster, W.; ... mehr

Abstract:
The effects of atmospheric nitrogen deposition (N$_{dep}$) on carbon (C) sequestration in forests have often been assessed by relating differences in productivity to spatial variations of N$_{dep}$ across a large geographic domain. These correlations generally suffer from covariation of other confounding variables related to climate and other growth-limiting factors, as well as large uncertainties in total (dry+wet) reactive nitrogen (N$_{r}$) deposition.We propose a methodology for untangling the effects of N$_{dep}$ from those of meteorological variables, soil water retention capacity and stand age, using a mechanistic forest growth model in combination with eddy covariance CO$_{2}$ exchange fluxes from a Europe-wide network of 22 forest flux towers. Total N$_{r}$ deposition rates were estimated from local measurements as far as possible. The forest data were compared with data from natural or semi-natural, non-woody vegetation sites. The response of forest net ecosystem productivity to nitrogen deposition (dNEP= dN$_{dep}$) was estimated after accounting for the effects on gross primary productivity (GPP) of the co-correlates by means of a meta-modelling standardization procedure, which resulted in a reduction by a factor of about 2 of the uncorrected, apparent dGPP/dN$_{dep}$ value. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000118974
Veröffentlicht am 12.05.2020
Originalveröffentlichung
DOI: 10.5194/bg-17-1621-2020
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1726-4170, 1726-4189
KITopen-ID: 1000118974
Erschienen in Biogeosciences
Band 17
Heft 6
Seiten 1621-1654
Bemerkung zur Veröffentlichung cited By 1
Vorab online veröffentlicht am 26.03.2020
Nachgewiesen in Web of Science
Scopus
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