M. Aubinet, A. Grelle, A. E. Ibrom, Ü. Rannik, J. Moncrieff et al., Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology, Advances in Ecol. Res, vol.30, pp.113-175, 1999.

D. Baldocchi, E. Falge, L. Gu, R. Olson, D. Hollinger et al., FLUXNET: a new tool to study the temporal and spatial variability of ecosystemscale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc, vol.82, pp.2415-2434, 2001.

J. T. Ball, I. Woodrow, and J. A. Berry, A model predicting stomatal conductance and its application to the control of photosynthesis under different environmental conditions, Prog. Photosyn, pp.221-224, 1987.

A. Botta, N. Viovy, P. Ciais, P. Friedlingstein, and P. Monfray, A global prognostic scheme of leaf onset using satellite data, Glob. Change Biol, vol.6, pp.709-725, 2000.

B. H. Braswell, W. J. Sacks, E. Linder, and D. S. Schimel, Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations, Glob. Change Biol, vol.11, pp.335-355, 2005.

N. Breda, R. Huc, A. Granier, and E. Dreyer, Temperate forest trees and stands under severe drought: a review of ecophysiological responses, adaptation processes and long-term consequences, Ann. For. Sci, vol.63, pp.625-644, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00884012

R. H. Byrd, P. Lu, J. Nocedal, and C. Zhu, A limited memory algorithm for bound constrained optimization, SIAM J. Sci. Comput, vol.16, pp.1190-1208, 1995.

P. Cadule, P. Friedlingstein, L. Bopp, S. Sitch, C. D. Jones et al., Benchmarking coupled climate-carbon models against long-term atmospheric CO 2 measurements, Global Biogeochem. Cy, vol.24, p.2016, 2010.

N. Carvalhais, M. Reichstein, J. Seixas, G. J. Collatz, J. A. Pereira et al., Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval, Global Biogeochem. Cy, vol.22, p.2007, 2008.

E. Choisnel, Le bilan d'energie et le bilan hydrique du sol, Météorologie, 1977.

G. J. Collatz, M. Ribas-carbo, and J. Berry, Coupled photosynthesis-stomatal conductance model for leaves of C4 plants, Funct. Plant Biol, vol.19, pp.519-538, 1992.

K. L. Denman, G. Brasseur, A. Chidthaisong, P. Ciais, P. M. Cox et al., Couplings Between Changes in the Climate System and Biogeochemistry, in: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, 2007.

N. I. Ducoudré, K. Laval, and A. Perrier, SECHIBA, a new set of parameterizations of the hydrologic exchanges at the landatmosphere interface within the LMD atmospheric general circulation model, J. Climate, vol.6, pp.248-273, 1993.

G. Farquhar, S. V. Caemmerer, and J. Berry, A biochemical model of photosynthetic CO 2 assimilation in leaves of C3 species, Planta, vol.149, pp.78-90, 1980.

C. B. Field, R. B. Jackson, and H. A. Mooney, Stomatal responses to increased CO 2 : implications from the plant to the global scale, Plant, Cell and Environment, vol.18, pp.1214-1225, 1995.

C. B. Field, R. M. Raupach, A. Fox, M. Williams, A. D. Richardson et al., The RE-FLEX project: comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data, The Global Carbon Cycle: Integrating Humans, Climate, and the Natural World, vol.149, pp.1597-1615, 2004.

P. Friedlingstein, P. Cox, R. Betts, L. Bopp, W. Von-bloh et al., N: Climate-carbon cycle feedback analysis: results from the C4MIP model intercomparison, J. Climate, vol.19, pp.3337-3353, 2006.

R. Giering and T. Kaminski, Recipes for adjoint code construction, ACM T. Math. Softw, vol.24, pp.437-474, 1998.

R. Giering, T. Kaminski, and T. Slawig, Generating efficient derivative code with TAF, Fut. Gen. Comp. Syst, vol.21, pp.1345-1355, 2005.

D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, 1989.

A. Granier, N. Bréda, B. Longdoz, P. Gross, and J. Ngao, Ten years of fluxes and stand growth in a young beech forest at Hesse, Ann. For. Sci, vol.65, pp.704-704, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00883444

M. Groenendijk, M. K. Van-der-molen, and A. J. Dolman, Seasonal variation in ecosystem parameters derived from FLUXNET data, Biogeosciences Discuss, vol.6, pp.2863-2912, 2009.

R. L. Haupt and S. E. Haupt, Practical Genetic Algorithms, 2004.

D. Hui, Y. Luo, and G. Katul, Partitioning interannual variability in net ecosystem exchange between climatic variability and functional change, Tree Physiol, vol.23, pp.433-475, 2003.

P. G. Jarvis, Scaling processes and problems, Plant, Cell and Environ, vol.18, pp.1079-1089, 1995.

I. Johnson and J. Thornley, Temperature dependence of plant and crop process, Ann. Bot, vol.55, pp.1-24, 1985.

M. Jung, G. Le-maire, S. Zaehle, S. Luyssaert, M. Vetter et al., Assessing the ability of three land ecosystem models to simulate gross carbon uptake of forests from boreal to Mediterranean climate in Europe, Biogeosciences, vol.4, pp.647-656, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00330323

G. Krinner, A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochem. Cy, vol.19, p.1015, 2005.
URL : https://hal.archives-ouvertes.fr/insu-00374606

S. Kuppel, P. Peylin, F. Chevallier, C. Bacour, F. Maignan et al., Constraining a global ecosystem model with multi-site eddy-covariance data, Biogeosciences, vol.9, pp.3757-3776, 2012.
URL : https://hal.archives-ouvertes.fr/hal-02651967

G. Lasslop, M. Reichstein, J. Kattge, and D. Papale, Influences of observation errors in eddy flux data on inverse model parameter estimation, Biogeosciences, vol.5, pp.1311-1324, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00297973

B. E. Medlyn, A. P. Robinson, R. Clement, and R. E. Mcmurtrie, On the validation of models of forest CO 2 exchange using eddy covariance data: some perils and pitfalls, Tree Physiol, vol.25, pp.839-57, 2005.

D. Papale, M. Reichstein, M. Aubinet, E. Canfora, C. Bernhofer et al., Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation, Biogeosciences, vol.3, pp.571-583, 2006.
URL : https://hal.archives-ouvertes.fr/hal-02658214

W. J. Parton, J. W. Stewart, C. , C. V. Press, W. H. Flannery et al., Dynamics of C, N, P and S in grassland soils: a model, Numerical recipes: the art of scientific computing, vol.5, pp.109-131, 1988.

C. Quentin, F. Bigorre, A. Granier, N. Bréda, and D. Tessier, Etude des sols de la forêt de Hesse (Lorraine) Contribution a l'étude du bilan hydrique, Etude et Gestion des sols, vol.8, pp.279-292, 2001.

M. Reichstein, M. Reichstein, E. Falge, D. Baldocchi, D. Papale et al., R: On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm, Glob. Change Biol, vol.108, pp.1424-1439, 2003.

A. D. Richardson and D. Y. Hollinger, Statistical modeling of ecosystem respiration using eddy covariance data: maximum likelihood parameter estimation, and Monte Carlo simulation of model and parameter uncertainty, applied to three simple models, Agr. Forest Meteorol, vol.131, pp.191-208, 2005.

A. D. Richardson, D. Y. Hollinger, J. D. Aber, S. V. Ollinger, and B. H. Braswell, Environmental variation is directly responsible for short-but not long-term variation in forest-atmosphere carbon exchange, Glob. Change Biol, vol.13, pp.788-803, 2007.

A. Ruimy, L. Kergoat, C. B. Field, and B. Saugier, The use of CO 2 flux measurements in models of the global terrestrial carbon budget, Glob. Change Biol, vol.2, pp.287-296, 1996.

D. Santaren, P. Peylin, N. Viovy, and P. Ciais, Optimizing a process-based ecosystem model with eddy-covariance flux measurements: a pine forest in southern France, Global Biogeochem. Cy, vol.21, p.2013, 2007.
URL : https://hal.archives-ouvertes.fr/bioemco-00175968

M. B. Siqueira, G. G. Katul, D. A. Sampson, P. C. Stoy, J. Juang et al., Multiscale model intercomparisons of CO 2 and H 2 O exchange rates in a maturing southeastern US pine forest, Glob. Change Biol, vol.12, pp.1189-1207, 2006.

L. Spadavecchia, M. Williams, and B. Law, Uncertainty in predictions of forest carbon dynamics: Separating driver error from model error, Ecol. Appl, vol.21, pp.1506-1522, 2011.

A. Tarantola, Inverse Problem Theory: Methods for Data Fitting and Parameter Estimation, 1987.

C. M. Trudinger, M. R. Raupach, P. J. Rayner, J. Kattge, Q. Liu et al., OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models, J. Geophys. Res, vol.112, p.2027, 2007.

Y. Wang, R. Leuning, H. A. Cleugh, and P. A. Coppin, Parameter estimation in surface exchange models using nonlinear inversion: how many parameters can we estimate and which measurements are most useful?, Glob. Change Biol, vol.7, pp.495-510, 2001.

Y. P. Wang, D. Baldocchi, R. Leuning, E. Falge, and T. Vesala, Estimating parameters in a land-surface model by applying nonlinear inversion to eddy covariance flux measurements from eight fluxnet sites, Glob. Change Biol, vol.13, pp.652-670, 2007.

Y. Wang, C. M. Trudinger, and I. G. Enting, A review of applications of model-data fusion to studies of terrestrial carbon fluxes at different scales, Agr. Forest Meteorol, vol.149, pp.1829-1842, 2009.

Y. P. Wang, E. Kowalczyk, R. Leuning, G. Abramowitz, M. R. Raupach et al., Diagnosing errors in a land surface model (CABLE) in the time and frequency domains, J. Geophys. Res, vol.116, p.1034, 2011.

M. Williams, A. D. Richardson, M. Reichstein, P. C. Stoy, P. Peylin et al., Improving land surface models with FLUXNET data, Biogeosciences, vol.6, pp.1341-1359, 2009.
URL : https://hal.archives-ouvertes.fr/bioemco-00450903

K. Wilson, A. Goldstein, E. Falge, M. Aubinet, D. Baldocchi et al., Energy balance closure at FLUXNET sites, Agr. Forest Meteorol, vol.113, pp.223-243, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02681830

T. Ziehn, M. Scholze, and W. Knorr, On the capability of Monte Carlo and adjoint inversion techniques to derive posterior parameter uncertainties in terrestrial ecosystem models, Global Biogeochem. Cy, vol.26, p.3025, 2012.