@article{fdi:010062174, title = {{P}erformance of {LAI}-{MODIS} and the influence on drought simulation in a {M}editerranean forest}, author = {{C}hakroun, {H}. and {M}ouillot, {F}lorent and {N}asr, {Z}. and {N}ouri, {M}. and {E}nnajah, {A}. and {O}urcival, {J}.{M}.}, editor = {}, language = {{ENG}}, abstract = {{T}his study investigates the benefits and methodological issues to integrate weekly 1 km {L}eaf {A}rea {I}ndex ({LAI}) {M}oderate {R}esolution {I}maging {S}pectroradiometer ({LAI}-{MODIS}) ({MOD}15{A}2) satellite product in a distributed water budget model over a {M}editerranean forested ecosystem of about 2553 km2 for drought assessment at regional scale. {T}he high overestimation of {LAI}-{MODIS} compared to field measurements was corrected based on the calibration of high-resolution {S}atellites {P}our l'{O}bservation de la {T}erre ({SPOT}) images combined with ground measurements. {T}he {LAI}-{MODIS} time series over the 2003 to 2009 period has been calibrated and integrated into a spatially explicit water budget model at the regional level using spatial information on vegetation, soil types and topoclimates. {A}ctual {LAI}-{MODIS} scenario was tested against temporal and spatial null models to assess for the benefits of the regional heterogeneity from {MODIS} and its intra-annual and interannual variation in a water budget model. {F}rom water budget analyses at local and regional scales, we concluded that calibration of {LAI}-{MODIS} images was mandatory to enhance the correlation coefficient between measured and simulated daily actual transpiration. {W}e estimated daily bias in the resulting ‘{W}ater {S}tress {I}ndex’ to be slightly affected between constant and seasonally-varying {LAI} datasets. {H}owever, the interannual variability in {LAI} detected by {MODIS} followed {LAI} adjustments expected from the ecohydrological equilibrium hypothesis. {T}his can significantly affect the simulated annual drought period features, so that integrating {LAI}-{MODIS} spatial and temporal variability into water budget models for evergreen {M}editerranean vegetation can be a useful dataset when carbon allocation schemes in dynamic vegetation models are lacking, but should be carefully calibrated particularly in transitions towards semi-arid zones.}, keywords = {{ECOSYSTEME} ; {BILAN} {HYDROLOGIQUE} ; {RESSOURCES} {EN} {EAU} ; {FORET} ; {SECHERESSE} ; {MODELISATION} ; {MODELE} {MATHEMATIQUE} ; {SIMULATION} ; {SATELLITE} {SPOT} ; {ETUDE} {REGIONALE} ; {CHANGEMENT} {CLIMATIQUE} ; {TUNISIE} ; {ZONE} {MEDITERRANEENNE}}, booktitle = {}, journal = {{E}cohydrology}, volume = {7}, numero = {3}, pages = {1014--1028}, ISSN = {1936-0592}, year = {2014}, DOI = {10.1002/eco.1426}, URL = {https://www.documentation.ird.fr/hor/fdi:010062174}, }