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  Quantifying the influence of climate and biological drivers on the interannual variability of carbon exchanges in European forests through process-based modelling

Delpierre, N., Soudani, K., Francois, C., Le Maire, G., Bernhofer, C., Kutsch, W., et al. (2012). Quantifying the influence of climate and biological drivers on the interannual variability of carbon exchanges in European forests through process-based modelling. Agricultural and Forest Meteorology, 154, 99-112. doi:10.1016/j.agrformet.2011.10.010.

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Delpierre, N., Autor
Soudani, K., Autor
Francois, C., Autor
Le Maire, G., Autor
Bernhofer, C., Autor
Kutsch, W.1, Autor           
Misson, L., Autor
Rambal, S., Autor
Vesala, T., Autor
Dufrene, E., Autor
Affiliations:
1Department Biogeochemical Processes, Prof. E.-D. Schulze, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497751              

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Schlagwörter: European forests Carbon exchanges Interannual variability Climate drivers Ecosystem functional properties Process-based model net ecosystem exchange eddy covariance data scots pine forest soil respiration CO2 exchange terrestrial ecosystems mediterranean forest flux measurements deciduous forest dioxide exchange
 Zusammenfassung: It is necessary to increase our understanding of the influence of climate and biological drivers on the interannual variations in carbon (C) exchange between forests and the atmosphere. To this aim, a process-based model (CASTANEA) was used for simulating C exchanges over four European forests, encompassing a broad latitudinal gradient (from Mediterranean to boreal climate zones), for the years 2000-2007. CASTANEA reproduced 74-95% of the daily and 35-84% of the annual variance in daytime net ecosystem productivity (NEP). Constrained simulations allowed us to isolate the individual contributions of climatic drivers (radiation, temperature and relative humidity), hydrological drivers (soil water) and biological drivers (canopy dynamics, the thermal acclimation of photosynthetic capacities in evergreens, and vegetative and microbial C pools) to the anomalies in C exchange for timescales ranging from daily to annual. Orthonormal wavelet transformation of these single-contribution time series allowed us to quantify the individual drivers' influences on flux variance across time scales. High frequency departures from mean annual C exchange patterns were mostly caused by hydroclimate modulations (87-99% of the flux variance from daily to weekly scales). The integration of these anomalies at the annual scale yielded a higher contribution of biological drivers: we identified a primary controller of gross primary production (GPP) variations through modulations of soil water in both the Mediterranean Quercus ilex and the temperate Fagus sylvatica forests; we also identified at the annual scale a complex determinism for both coniferous sites, with an unexpectedly higher contribution of the thermal acclimation driver at the temperate (warmer) site. Although all but one site experienced structural perturbations during the study period, interannual variations in ecosystem respiration (Reco) were readily related to changes in temperature and soil water, with a low contribution from variations in C pools at the annual scale. As a result of the preponderant dependence of net ecosystem production (NEP) on GPP fluxes, the inferred determinism of simulated net exchanges appeared similar to that of GPP. However, compensations occurred, leading, for example, to a much lower influence of soil water modulations on NEP than on GPP or Reco at the Mediterranean site. (C) 2011 Elsevier B.V. All rights reserved.

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Sprache(n): eng - English
 Datum: 2012
 Publikationsstatus: Erschienen
 Seiten: -
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 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.agrformet.2011.10.010
ISI: ://WOS:000300923900011
Anderer: BGC1643
 Art des Abschluß: -

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Titel: Agricultural and Forest Meteorology
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Amsterdam : Elsevier
Seiten: - Band / Heft: 154 Artikelnummer: - Start- / Endseite: 99 - 112 Identifikator: CoNE: https://pure.mpg.de/cone/journals/resource/954928468040
ISSN: 0168-1923