Photosynthetic carbon isotope discrimination and its relationship to the carbon isotope signals of stem, soil and ecosystem respiration
WINGATE, Lisa
Écologie fonctionnelle et physique de l'environnement [EPHYSE]
School of GeoSciences
Department of Plant Sciences
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Écologie fonctionnelle et physique de l'environnement [EPHYSE]
School of GeoSciences
Department of Plant Sciences
WINGATE, Lisa
Écologie fonctionnelle et physique de l'environnement [EPHYSE]
School of GeoSciences
Department of Plant Sciences
< Réduire
Écologie fonctionnelle et physique de l'environnement [EPHYSE]
School of GeoSciences
Department of Plant Sciences
Langue
en
Article de revue
Ce document a été publié dans
New Phytologist. 2010, vol. 188, n° 2, p. 576-589
Wiley
Résumé en anglais
Photosynthetic carbon (C) isotope discrimination (ΔΑ) labels photosynthates (δA) and atmospheric CO2 (δa) with variable C isotope compositions during fluctuating environmental conditions. In this context, the C isotope ...Lire la suite >
Photosynthetic carbon (C) isotope discrimination (ΔΑ) labels photosynthates (δA) and atmospheric CO2 (δa) with variable C isotope compositions during fluctuating environmental conditions. In this context, the C isotope composition of respired CO2 within ecosystems is often hypothesized to vary temporally with ΔΑ. We investigated the relationship between ΔΑ and the C isotope signals from stem (δW), soil (δS) and ecosystem (δE) respired CO2 to environmental fluctuations, using novel tuneable diode laser absorption spectrometer instrumentation in a mature maritime pine forest. Broad seasonal changes in ΔΑ were reflected in δW,δS and δE. However, respired CO2 signals had smaller short-term variations than ΔA and were offset and delayed by 2–10 d, indicating fractionation and isotopic mixing in a large C pool. Variations in δS did not follow ΔA at all times, especially during rainy periods and when there is a strong demand for C allocation above ground. It is likely that future isotope-enabled vegetation models will need to develop transfer functions that can account for these phenomena in order to interpret and predict the isotopic impact of biosphere gas exchange on the C isotope composition of atmospheric CO2.< Réduire
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