HAL Id: hal-02804903
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Submitted on 5 Jun 2020
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A process-based interpretation of high-resolution tree-ring stable isotope variations: from simple to more
complex models
Jérôme Ogée, Lisa Wingate
To cite this version:
Jérôme Ogée, Lisa Wingate. A process-based interpretation of high-resolution tree-ring stable isotope variations: from simple to more complex models. TRACE Conference, May 2012, Potsdam, Germany.
1 p. �hal-02804903�
A process-based interpretation of high-resolution tree-ring stable isotope variations: from simple to more complex models
Jérôme Ogée and Lisa Wingate INRA EPHYSE UR1263, Bordeaux, France
Abstract
The carbon and oxygen stable isotope ratios of wood cellulose are good indicators of not only climate but also plant physiology. Attempts to interpret tree-ring isotope variations mechanistically have resulted in the development of different isotope-enabled models that vary in complexity and their degree of success to capture tree-ring isotope variations. In this presentation we will investigate and compare a simple big-leaf modelling approach (Ogée et al 2009) with that of the multi-layer soil-vegetation-atmosphere transfer model, MuSICA (Ogée et al., 2003; Wingate et al., 2010). This model comparison will be carried out against a new high-resolution stable isotope tree-ring dataset from five coniferous FLUXNET sites spanning a significant gradient of moisture (MAP range of 280 to 930mm) and temperature (MAT range of -1 to 18oC). This environmental gradient allowed us to test the need for added complexity in process-based models and understand better the drivers of tree-ring isotope signals from a plant physiological perspective.
References
Ogée, J., Barbour, M.M., Wingate, L., Bert, D., Bosc, A., Stievenard, M., Lambrot, C., Pierre, M., Berbigier, P., Bariac, T., Loustau, D. and Dewar, R. (2009). A single-substrate model to interpret intra-annual stable isotope signals in tree ring cellulose. Plant, Cell and Environment, Vol. 32, 8, 1071-1090, doi:10.1111/j.1365-3040.2009.01989.x
Ogée, J., Brunet, Y., Loustau, D., Berbigier, P. & Delzon, S. (2003). MuSICA, a CO2, water and energy multi-layer, multi-leaf pine forest model: evaluation from hourly to yearly time scales and sensitivity analysis. Global Change Biology, Vol. 9, 697-717
Wingate, L., Ogée, J., Burlett, R., Bosc, A., Devaux, M., Grace, J., Loustau, D. and Gessler, A.(2010). Photosynthetic carbon isotope discrimination and its relationship to the carbon isotope signals of stem, soil and ecosystem respiration. New Phytologist, doi10.1111/j.1469- 8137.2010.03384x