D. A. Frank, Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts, Global Change Biology, vol.41, issue.441, pp.2861-2880, 2015.
DOI : 10.1111/gcb.12916

URL : https://hal.archives-ouvertes.fr/hal-01444818

A. Granier, Evidence for soil water control on carbon and water dynamics in European forests during the extremely dry year: 2003, Agricultural and Forest Meteorology, vol.143, issue.1-2, pp.123-145, 2007.
DOI : 10.1016/j.agrformet.2006.12.004

M. Reichstein, Climate extremes and the carbon cycle, Nature, vol.478, issue.9, pp.287-295, 2013.
DOI : 10.1038/nature12350

URL : https://hal.archives-ouvertes.fr/hal-01444818

M. K. Van-der-molen, Drought and ecosystem carbon cycling, Agricultural and Forest Meteorology, vol.151, issue.7, pp.765-773, 2011.
DOI : 10.1016/j.agrformet.2011.01.018

S. Vicca, Can current moisture responses predict soil CO<sub>2</sub> efflux under altered precipitation regimes? A synthesis of manipulation experiments, Biogeosciences, vol.11, issue.11, pp.2991-3013, 2014.
DOI : 10.5194/bg-11-2991-2014-supplement

C. Dardel, Re-greening Sahel: 30 years of remote sensing data and field observations (Mali, Niger). Remote Sens, Environ, vol.140, pp.350-364, 2014.

G. Sangüesa-barreda, J. J. Camarero, A. Garcia-martin, R. Hernandez, and J. De-la-riva, Remote-sensing and tree-ring based characterization of forest defoliation and growth loss due to the Mediterranean pine processionary moth, Forest Ecology and Management, vol.320, pp.171-181, 2014.
DOI : 10.1016/j.foreco.2014.03.008

F. Maselli, D. Papale, N. Puletti, G. Chirici, and P. Corona, Combining remote sensing and ancillary data to monitor the gross productivity of water-limited forest ecosystems, Remote Sensing of Environment, vol.113, issue.3, pp.657-667, 2009.
DOI : 10.1016/j.rse.2008.11.008

L. Anderson, Biome-Scale Forest Properties in Amazonia Based on Field and Satellite Observations, Remote Sensing, vol.97, issue.12, pp.1245-1271, 2012.
DOI : 10.1111/j.1469-185X.2010.00155.x

M. Verma, Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set, Biogeosciences, vol.11, issue.8, pp.2185-2200, 2014.
DOI : 10.5194/bg-11-2185-2014-supplement

J. Liu, S. Rambal, and F. Mouillot, Soil Drought Anomalies in MODIS GPP of a Mediterranean Broadleaved Evergreen Forest, Remote Sensing, vol.16, issue.1, pp.1154-1180, 2015.
DOI : 10.1016/j.rse.2007.06.022

F. Zhang, Evaluating spatial and temporal patterns of MODIS GPP over the conterminous U.S. against flux measurements and a process model, Remote Sensing of Environment, vol.124, pp.717-729, 2012.
DOI : 10.1016/j.rse.2012.06.023

X. Tang, A comprehensive assessment of MODIS-derived GPP for forest ecosystems using the site-level FLUXNET database, Environmental Earth Sciences, vol.333, issue.6046, pp.5907-5918, 2015.
DOI : 10.1007/s12665-015-4615-0

M. Zhao, S. W. Running, and R. R. Nemani, Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses, Journal of Geophysical Research, vol.95, issue.4, 2006.
DOI : 10.1029/2004JG000004

J. Peñuelas, M. F. Garbulsky, and I. Filella, Photochemical reflectance index (PRI) and remote sensing of plant CO2 uptake, New Phytologist, vol.329, issue.3, pp.596-599, 2011.
DOI : 10.1111/j.1469-8137.2011.03791.x

J. A. Gamon, J. Penuelas, and C. B. Field, A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency, Remote Sensing of Environment, vol.41, issue.1, pp.35-44, 1992.
DOI : 10.1016/0034-4257(92)90059-S

G. G. Drolet, A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic light-use efficiency of a boreal deciduous forest, Remote Sensing of Environment, vol.98, issue.2-3, pp.212-224, 2005.
DOI : 10.1016/j.rse.2005.07.006

M. Rossini, Remote sensing-based estimation of gross primary production in a subalpine grassland. Biogeosci, pp.2565-2584, 2012.

A. Moreno, Assessment of MODIS imagery to track light-use efficiency in a water-limited Mediterranean pine forest, Remote Sensing of Environment, vol.123, pp.359-367, 2012.
DOI : 10.1016/j.rse.2012.04.003

J. J. Peguero-pina, F. Morales, J. Flexas, E. Gil-pelegrin, and I. Moya, Photochemistry, remotely sensed physiological reflectance index and de-epoxidation state of the xanthophyll cycle in Quercus coccifera under intense drought, Scientific RepoRts | 6:28269 | DOI: 10.1038, pp.1-11, 2008.
DOI : 10.1007/s00442-007-0957-y

C. Y. Wong and J. A. Gamon, Three causes of variation in the photochemical reflectance index (PRI) in evergreen conifers, New Phytologist, vol.206, issue.1, pp.187-195, 2015.
DOI : 10.1111/nph.13159

J. Peñuelas, J. A. Gamon, A. L. Fredeen, J. Merino, and C. B. Field, Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves, Remote Sensing of Environment, vol.48, issue.2, pp.135-146, 1994.
DOI : 10.1016/0034-4257(94)90136-8

J. A. Gamon and B. Bond, Effects of irradiance and photosynthetic downregulation on the photochemical reflectance index in Douglas-fir and ponderosa pine, Remote Sensing of Environment, vol.135, pp.141-149, 2013.
DOI : 10.1016/j.rse.2013.03.032

K. Soudani, Relationships between photochemical reflectance index and light-use efficiency in deciduous and evergreen broadleaf forests, Remote Sensing of Environment, vol.144, pp.73-84, 2014.
DOI : 10.1016/j.rse.2014.01.017

P. Ciais, Europe-wide reduction in primary productivity caused by the heat and drought in 2003, Nature, vol.14, issue.2, pp.529-533, 2005.
DOI : 10.1046/j.1365-2486.2002.00530.x

URL : https://hal.archives-ouvertes.fr/insu-00373792

J. Verbesselt, A. Zeileis, and M. Herold, Near real-time disturbance detection using satellite image time series, Remote Sensing of Environment, vol.123, pp.98-108, 2012.
DOI : 10.1016/j.rse.2012.02.022

S. Saatchi, Persistent effects of a severe drought on Amazonian forest canopy, Proceedings of the National Academy of Sciences, vol.369, issue.1934, pp.565-570, 2013.
DOI : 10.1098/rsta.2010.0238

S. W. Running, A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production, BioScience, vol.54, issue.6, pp.547-560, 2004.
DOI : 10.1641/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2

A. Granier, N. Breda, B. Longdoz, P. Gross, and J. Ngao, Dix ann??es de mesures de flux et de croissance dans une jeune h??traie du nordest de la France, en for??t de Hesse, Annals of Forest Science, vol.260, issue.D9, p.704, 2008.
DOI : 10.1051/forest:2008052

A. Huete, Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, vol.83, issue.1-2, pp.195-213, 2002.
DOI : 10.1016/S0034-4257(02)00096-2

D. A. Sims and J. A. Gamon, Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages, Remote Sensing of Environment, vol.81, issue.2-3, pp.337-354, 2002.
DOI : 10.1016/S0034-4257(02)00010-X

C. Liu, Effect of drought on pigments, osmotic adjustment and antioxidant enzymes in six woody plant species in karst habitats of southwestern China, Environmental and Experimental Botany, vol.71, issue.2, pp.174-183, 2011.
DOI : 10.1016/j.envexpbot.2010.11.012

M. Mund, The influence of climate and fructification on the inter-annual variability of stem growth and net primary productivity in an old-growth, mixed beech forest, Tree Physiology, vol.30, issue.6, pp.689-704, 2010.
DOI : 10.1093/treephys/tpq027

S. Rambal, How drought severity constrains gross primary production(GPP) and its partitioning among carbon pools in a Quercus ilex coppice? Biogeosci, pp.6855-6869, 2014.

S. Rambal, Drought controls over conductance and assimilation of a Mediterranean evergreen ecosystem: scaling from leaf to canopy, Global Change Biology, vol.23, issue.12, pp.1813-1824, 2003.
DOI : 10.1046/j.1365-3040.1998.00301.x

D. D. Baldocchi, L. Xu, and N. Kiang, How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak???grass savanna and an annual grassland, Agricultural and Forest Meteorology, vol.123, issue.1-2, pp.13-39, 2004.
DOI : 10.1016/j.agrformet.2003.11.006

D. A. Sims, A. F. Rahman, E. F. Vermote, and . Jiang, Seasonal and inter-annual variation in view angle effects on MODIS vegetation indices at three forest sites, Remote Sensing of Environment, vol.115, issue.12, pp.3112-3120, 2011.
DOI : 10.1016/j.rse.2011.06.018

M. Reichstein, Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: a joint flux tower, remote sensing and modelling analysis, Global Change Biology, vol.13, issue.3, pp.634-651, 2007.
DOI : 4010.1029/2002JD02510

D. A. Sims, A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS, Remote Sensing of Environment, vol.112, issue.4, pp.1633-1646, 2008.
DOI : 10.1016/j.rse.2007.08.004

S. Vicca, Urgent need for a common metric to make precipitation manipulation experiments comparable, New Phytologist, vol.17, issue.3, pp.518-522, 2012.
DOI : 10.1111/j.1469-8137.2012.04224.x

URL : https://hal.archives-ouvertes.fr/hal-01268447

J. F. Brown, B. D. Wardlow, T. Tadesse, M. J. Hayes, and B. C. Reed, The Vegetation Drought Response Index (VegDRI): A New Integrated Approach for Monitoring Drought Stress in Vegetation, GIScience & Remote Sensing, vol.45, issue.1, pp.16-46, 2008.
DOI : 10.2747/1548-1603.45.1.16

M. F. Garbulsky, J. Penuelas, D. Papale, and I. Filella, Remote estimation of carbon dioxide uptake by a Mediterranean forest, Global Change Biology, vol.123, issue.12, pp.2860-2867, 2008.
DOI : 10.1111/j.1365-2486.2008.01684.x

M. F. Garbulsky, J. Penuelas, J. Gamon, Y. Inoue, and I. Filella, The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficienciesA review and meta-analysis, Remote Sensing of Environment, vol.115, issue.2, pp.281-297, 2011.
DOI : 10.1016/j.rse.2010.08.023

A. Goerner, Remote sensing of ecosystem light use efficiency with MODIS-based PRI. Biogeosci, pp.189-202, 2011.

M. Balzarolo, On the relationship between ecosystem-scale hyperspectral reflectance and CO<sub>2</sub> exchange in European mountain grasslands, Biogeosciences, vol.12, issue.10, pp.3089-3108, 2015.
DOI : 10.5194/bg-12-3089-2015-supplement

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, Annals of Forest Science, vol.63, issue.6, pp.625-644, 2006.
DOI : 10.1051/forest:2006042

URL : https://hal.archives-ouvertes.fr/hal-00884012

S. M. Vicente-serrano, S. Begueria, and J. Lopez-moreno, A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index, Journal of Climate, vol.23, issue.7, pp.1696-1718, 2010.
DOI : 10.1175/2009JCLI2909.1

R. G. Allen, L. S. Pereiro, D. Raes, and M. Smith, Crop Evapotranspiration -Guidelines for Computing Crop Water Requirements, 1998.

A. Granier, N. Breda, P. Biron, and S. Villette, A lumped water balance model to evaluate duration and intensity of drought constraints in forest stands, Ecological Modelling, vol.116, issue.2-3, pp.269-283, 1999.
DOI : 10.1016/S0304-3800(98)00205-1

S. Niemeyer, New drought indices. Options Méditerranéennes. Série A: Séminaires Méditerranéens 80, pp.267-274, 2008.

D. Papale, Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation, Biogeosciences, vol.3, issue.4, pp.571-583, 2006.
DOI : 10.5194/bg-3-571-2006

URL : https://hal.archives-ouvertes.fr/hal-00330317

M. Reichstein, On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm, Global Change Biology, vol.6, issue.9, pp.1424-1439, 2005.
DOI : 10.1046/j.1354-1013.2001.00435.x

R. B. Myneni, Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data, Remote Sensing of Environment, vol.83, issue.1-2, pp.214-231, 2002.
DOI : 10.1016/S0034-4257(02)00074-3

J. Peñuelas, I. Filella, and J. A. Gamon, Assessment of photosynthetic radiation-use efficiency with spectral reflectance, New Phytologist, vol.242, issue.3, pp.291-296, 1995.
DOI : 10.1007/BF00024185

R. Guarini, The utility of MODIS-sPRI for investigating the photosynthetic light-use efficiency in a Mediterranean deciduous forest, International Journal of Remote Sensing, vol.11, issue.16, pp.6157-6172, 2014.
DOI : 10.1016/S0034-4257(02)00089-5

A. F. Rahman, V. D. Cordova, J. A. Gamon, H. P. Schmid, and D. A. Sims, Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation: A novel approach, Geophys. Res. Lett, p.31, 2004.

A. Goerner, M. Reichstein, and S. Rambal, Tracking seasonal drought effects on ecosystem light use efficiency with satellite-based PRI in a Mediterranean forest, Remote Sensing of Environment, vol.113, issue.5, pp.1101-1111, 2009.
DOI : 10.1016/j.rse.2009.02.001

A. Zeileis, F. Leisch, K. Hornik, and C. Kleiber, Package for Testing for Structural Change in Linear Regression Models, Journal of Statistical Software, vol.7, issue.2, pp.1-38, 2002.
DOI : 10.18637/jss.v007.i02

J. Bai and P. Perron, Computation and analysis of multiple structural change models, Journal of Applied Econometrics, vol.6, issue.1, pp.1-22, 2003.
DOI : 10.1002/jae.659

A. Zeileis, C. Kleiber, W. Kramer, and K. Hornik, Testing and dating of structural changes in practice, Computational Statistics & Data Analysis, vol.44, issue.1-2, pp.109-123, 2003.
DOI : 10.1016/S0167-9473(03)00030-6