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105- Donhauser J, Briones MJI, Mikola D et al., (2023) Extracting DNA from soil or directly from isolated nematodes indicate dissimilar community structure for Europe-wide forest soils. Soil Biology and Biochemistry (185) 109154, https://doi.org/10.1016/j.soilbio.2023.109154.

104- Penot V, Merlin O (2023) Estimating the Water Deficit Index of A Mediterranean Holm Oak Forest from Landsat Optical/thermal Data : A Phenomenological Correction for Trees Casting Shadow Effects. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://ieeexplore.ieee.org/document/10158795.

103-Cinkus G, Wunsch A, Mazzilli N, Liesch T, Chen Z, Ravbar N, Doummar J, Fernández-Ortega J, Barberá J A, Andreo B, Goldscheider N, Jourde H (2023) Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions. Hydrol. Earth Syst. Sci., 27, 1961–1985, https://doi.org/10.5194/hess-27-1961-2023.

102- Raymond-Léonard LJ, Cortet J, Handa IT (2023) Towards a standardization of new functional trait measurements by assessing intraspecific variation : the case of springtail mandibles. European Journal of Soil Biology Vol. 117, 103495. https://doi.org/10.1016/j.ejsobi.2023.103495.

101- Michau Y, Lemonsu A, Lucas-Picher P, Caillaud C (2023) Evaluation of the Urban Heat Island of 12 cities of France in a high-resolution regional climate model simulation. Urban Climate Vol.47 2023 101386, ISSN 2212-0955, https://doi.org/10.1016/j.uclim.2022.101386.

100- Martín-Sánchez R, Peguero-Pina JJ, Alonso-Forn D, Ferrio JP, Sancho-Knapik D, Gil-Pelegrín E (2022) Summer and winter can equally stress holm oak (Quercus ilex L.) in Mediterranean areas : A physiological view. Flora Vol. 290, 152058. https://doi.org/10.1016/j.flora.2022.152058.

99- Cousquer Y, Jourde H (2022) Reducing uncertainty of karst aquifer modeling with complementary hydrological observations for the sustainable management of groundwater resources. J. of Hydrology Vol.612, Part A 128130. https://doi.org/10.1016/j.jhydrol.2022.128130.

98- Maruyama T, Fujii S (2022) Accuracy evaluation of evapotranspiration estimated by inverse analysis using FLUXNET2015 at forest sites. Hydrological Processes, 36(12), e14762. https://doi.org/10.1002/hyp.14762.

97- Liu Y, Zhang Y, Shan N, Zhang Z, Wei Z (2022) Global assessment of partitioning transpiration from evapotranspiration based on satellite solar-induced chlorophyll fluorescence data. Journal of Hydrology 612 (2022) 128044. https://doi.org/10.1016/j.jhydrol.2022.128044.

96- Wang YR, Buchmann N, Hessen DO, Stordal F, Erisman JW, Vollsnes AV, Andersen T, Dolman H (2022) Disentangling effects of natural and anthropogenic drivers on forest net ecosystem production. Sc. Total Environment https://doi.org/10.1016/j.scitotenv.2022.156326.

95- Butler EE, Wythers KR, Flores-Moreno H, Ricciuto DM, Datta A, Banerjee A, et al. (2022). Increasing functional diversity in a global land surface model illustrates uncertainties related to parameter simplification. Journal of Geophysical Research : Biogeosciences, 127, e2021JG006606. https://doi.org/10.1029/2021JG006606

94- Jiang L, Zhang B, Han S, Chen He, Wei Z (2021) Upscaling evapotranspiration from the instantaneous to the daily time scale : Assessing six methods including an optimized coefficient based on worldwide eddy covariance flux network. Journal of Hydrology 596 (2021) 126135. https://doi.org/10.1016/j.jhydrol.2021.126135.

93- Migliavacca M, Musavi T, Mahecha M.D. et al. (2021) The three major axes of terrestrial ecosystem function. Nature 598, 468–472. https://doi.org/10.1038/s41586-021-03939-9

92- Ollivier C, Olioso A, Carrière SD, Boulet G, Chalikakis K, Chanzy A, Charlier JB, Combemale D, Davi D, Emblanch C, Marloie O, Martin-StPaul N, Mazzilli N, Simioni G, Weiss M (2021) Science of the Total Environment 781 : 146706

91- Bourges F, Genty D, Perrier F, Lartiges B, Régnier E, François A, Leplat J, Touron S, Bousta F, Massault M, Delmotte M, Dumoulin JP, Girault F, Ramonet M, Chauveau C, Rodrigues P (2020) Hydrogeological control on carbon dioxide input into the atmosphere ofthe Chauvet-Pont d’Arc cave. Science of the Total Environment 716 : 136844.

90- Yang P, van der Tol C, Yin T, Verhoef W (2020) The SPART model : A soil-plant-atmosphere radiative transfer model for satellite measurements in the solar spectrum. Remote Sensing of Environment Vol.24715 : 111870.

89-Sabot MEB, De Kauwe MG, Pitman AJ, Medlyn BE, Verhoef A, Ukkola AM. Abramowitz G (2020) Plant profit maximization improves predictions of European forest responses to drought. New Phytol, 226 : 1638-1655. doi:10.1111/nph.16376

88- Pereira S, Burešová A, Kopecky J, Mádrová P, Aupic-Samain A, Fernandez C, Baldy V, Sagova-Mareckova M (2019) Litter traits and rainfall reduction alter microbial litter decomposers : the evidence from three Mediterranean forests, FEMS Microbiology Ecology, 55 (12) fiz168, https://doi.org/10.1093/femsec/fiz168.

87- Wei S, Fang H, Schaaf CB, He L, Chen JM (2019) Global 500m clumpingindex productderived fromMODIS BRDF data (2001–2017). Remote Sensing of Environment 2323:111296.

86- Bartsch S, Stegehuis AI, Boissard C, Lathière J, Peterschmitt JY, Reiter IM, Gauquelin T, Baldy V, Genesio L, Matteucci G, Fernandez C, Guenet B (2019) Impact of precipitation, air temperature and abiotic emissions on gross primary production in Mediterranean ecosystems in Europe. Eur J Forest Res. (PDF)

85- Fu Z, Stoy PC, Poulter B, Gerken T, Zhang Z, Wakbulcho G, Niu S (2019) Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange. Glob Change Biol. 25:3381–3394.

84- Vitale D, Bilancia M, Papale D (2019) Modelling random uncertainty of eddy covariance flux measurements. Stochastic Environmental Research and Risk Assessment 33:725–746.

83- Huemmrich KF, Campbell P, Landis D, Middleton E (2019) Developing a common globally applicable method for optical remote sensing of ecosystem light use efficiency. Remote Sensing of Environment 230:111190.

82- Yu R, Ruddell BL, Kang M, Kim J, Childers D (2019) Anticipating global terrestrial ecosystem state change using FLUXNET. Global Change Biology. DOI:0.1111/gcb.14602.

81- Roujean JL, Leon-Tavares J, Smets B, Claes P, Camacho De Coca F, Sanchez-Zapero J (2018) Surface albedo and toc-r 300m products from PROBA-V instrument in the framework of Copernicus Global Land Service. Remote Sensing of Environment 215:57-73.

80- Pisek J, Buddenbaum H, Camacho F, Hill J, Jensen JLR, Lange H, Liu Z, Piayda A, Qu Y, Roupsard O, Serbin SP, Solberg S, Sonnentag O, Thimonier A, Vuolo F (2018) Datasynergy betweenleafareaindex andclumping index EarthObservation products using photon recollision probability theory. Remote Sensing of Environment 215:1-6.

79- Liu R, Ren H, Liu S, Liu Q, Yan B, Gan F (2018) Generalized FPAR estimation methods from various satellite sensors and validation. Agric Forest Meteo. 260-261 : 55-72

78- Baldocchi D, Chu H, Reichstein M (2018) Inter-annual variability of net and gross ecosystem carbon fluxes : A review. Agricultural and Forest Meteorology 249:520-533. PDF

77- Asbjornsen H, Campbell JL, Jennings KA, Vadeboncoeur MA, McIntire C, Templer PH, Phillips RP, Bauerle TL, Dietze MC, Frey SD, Groffman PM, Guerrieri R, Hanson PJ, Kelsey EP, Knapp AK, McDowell NG, Meir P, Novick KA, Ollinger SV, Pockman WT, Schaberg PG, Wullschleger SD, Smith MD, Rustad LE (2018) Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems. Methods in Ecology and Evolution doi : 10.1111/2041-210X.13094.

76- Stocker BD, Zscheischler J, Keenan TF, Prentice IC, Penuelas J, Seneviratne SI (2018) Quantifying soil moisture impacts on light use efficiency across biomes. New Phytologist doi : 10.1111/nph.15123.

75- Ricciuto D, Sargsyan K, Thornton P (2018) The impact of parametric uncertainties on biogeochemistry in the E3SM land model. Journal of Advances in Modeling Earth Systems 10:297–319. https://doi.org/10.1002/2017MS000962.

74- Xiao Z, Liang S, Jiang B (2017) Evaluation of four long time-series global leaf area index products. Agricultural and Forest Meteorology 246:218-230.

73- Marconi S, Chiti T, Nolè A, Valentini R, Collalti A (2017) The Role of Respiration in Estimation of Net Carbon Cycle : Coupling Soil Carbon Dynamics and Canopy Turnover in a Novel Version of 3D-CMCC Forest Ecosystem Model. Forests 2017 : 8, 220 ; doi:10.3390/f8060220.

72- Bai Y, Zhang J, Zhang S, Koju UA, Yao F, Igbawua T (2017) Using precipitation, vertical root distribution, and satellite-retrieved vegetation information to parameterize water stress in a Penman-Monteith approach to evapotranspiration modeling under Mediterranean climate. J. Adv. Model. Earth Syst., 9:168–192.

71- Baldocchi D, Chua H, Reichstein M (2017) Inter-annual variability of net and gross ecosystem carbon fluxes : A review. Agricultural and Forest Meteorology in press.

70- Haeni M, Zweifel R, Eugster W, Gessler A, Zielis S, Bernhofer C, Carrara A, Grünwald T, Havránková K, Heinesch B, Herbst M, Ibrom A, Knohl A, Lagergren F, Law BE, Marek M, Matteucci G, McCaughey JH, Minerbi S, Montagnani L, Moors E, Olejnik J, Pavelka M, Pilegaard K, Pita G, Rodrigues A, Sanz Sánchez MJ, Schelhaas MJ, Urbaniak M, Valentini R, Varlagin A, Vesala T, Vincke C, Wu J, Buchmann N (2016) Winter respiratory C losses provide explanatory power for net ecosystem productivity. J. Geophys. Res. Biogeosci.122, doi:10.1002/2016JG003455.

69- Shao J, Zhou X, Luo Y, Li B, Aurela M, Billesbach D, Blanken PD, Bracho R, Chen J, Fischer M, Fu Y, Gu L, Han S, He Y, Kolb T, Li Y, Nagy Z, Niu S, Oechel WC, Pinter K, Shi P, Suyker A, Torn M, Varlagin A, Wang H, Yan J, Yu G, Zhang J (2016) Direct and indirect effects of climatic variations on the interannual variability in net ecosystem exchange across terrestrial ecosystems. Tellus B 68:30575.

68- Jiang C, Ryu Y (2016) Multi-scale evaluation of global gross primary productivity and evapotranspiration products derived from Breathing Earth System Simulator (BESS). Remote Sensing of Environment 186 : 528–547.

67- Courty PE, Munoz F, Selosse MA, Duchemin M, Criquet S, Ziarelli F, Buée M, Plassard C, Taudière A, Garbaye J, Richard F (2016) Into the functional ecology of ectomycorrhizal communities : environmental filtering of enzymatic activities. Journal of Ecology 6:1585-1598.

66- Maruyama T, Segawa M (2016) Reciprocal analysis of sensible and latent heat fluxes in a forest region using single height temperature and humidity based on the Bowen Ratio concept. Journal of Water Resource and Protection 8 : 724-742.

65- Wei S, Fang H (2016) Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method : The influence of BRDF models and solar zenith angle. Remote Sensing of Environment 187 : 476–491.

64- Tao X, Liang S, Hea T, Jina H (2016) Estimation of fraction of absorbed photosynthetically active radiation from multiple satellite data : Model development and validation. Remote Sensing of Environment 184 : 539–557.

63- Xiao Z, Liang S, Suna R, Wang J, Jiang B (2015) Estimating the fraction of absorbed photosynthetically active radiation from the MODIS data based GLASS leaf area index product. Remote Sensing of Environment 171 : 105–117.

62- Tramontana G, Ichii K, Camps-Valls G, Tomelleri E, Papale D (2015) Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data. Remote Sensing of Environment 168 : 360–373.

61- Pisek J, Govind A, Arndt SK, Hocking D, Wardlaw TJ, Fang H, Matteucci G, Longdoz B (2015) Intercomparison of clumping index estimates from POLDER, MODIS,and MISR satellite data over reference sites. ISPRS Journal of Photogrammetry and Remote Sensing 101 : 47–56.

60- Hu G, Jia L, Menenti M (2015) Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011. Remote Sensing of Environment 156 : 510–526.

59- Bacour C, Peylin P, MacBean N, Rayner PJ, Delage F, Chevallier F, Weiss M, Demarty, Santaren D, Baret F, Berveiller D, Dufrene E, Prunet P (2015) Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process-oriented biosphere model. Journal of geophysical research-Biogeosciences 120 (9) : 1839-1857.

58- Knauer J, Werner C, Zaehle S (2015) Evaluating stomatal models and their atmospheric drought response in a land surface scheme : A multibiome analysis. J. Geophys. Res. Biogeosci. 120 : doi:10.1002/2015JG003114.

57- van Dijk AIJM, Gash JH, van Gorsel E, Blankend PD, Cescatti A, Emmel C, Gielen B, Harman IN, Kiely G, Merbold L, Montagnani L, Moors E, Sottocornola M, Varlagin A, Williams CA, Wohlfahrt G (2015) Rainfall interception and the coupled surface water and energy balance. Agricultural and Forest Meteorology 214–215:402–415.

56- Anav A, Friedlingstein P, Beer C, Ciais P, Harper A, Jones C, Murray-Tortarolo G, Papale D, Parazoo NC, Peylin P, Piao S, Sitch S, Viovy N, Wiltshire A, Zhao M (2015) Spatio temporal patterns of terrestrial Gross Primary Production : a review. Review of geophysics 10.1002/2015RG000483.

55- Yao Y, Zhang Y, Zhao S, Li X, Jia K (2015) Evaluation of three satellite-based latent heat flux algorithms over forest ecosystems using eddy covariance data. Environmental Monitoring and Assessment 187:382.

54- Shao J, Zhou X, Luo Y, Li B, Aurela M, Billesbach D, Blanken PD, Bracho R, Chen J, Fischer M, Fu Y, Gu L, Han S, He Y, Kolb T, Li Y, Nagy Z, Niu S, Oechel WC, Pinter K, Shi P, Suyker A, Torn M, Varlagin A, Wang H, Yan J, Yu G, Zhang J (2015) Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems. Agricultural and Forest Meteorology 205:11–22.

53- Tao X, Liang S, Wang D (2015) Assessment of five global satellite products of fraction of absorbed photosynthetically active radiation : Intercomparison and direct validation against ground-based data. Remote Sensing of Environment 163:270–285.

52- Mallick K, Jarvis A, Wohlfahrt G, Kiely G, Hirano T, Miyata A, Yamamoto S, Hoffmann L (2015) Components of near-surface energy balance derived from satellite soundings – Part 1 : Noontime net available energy. Biogeosciences 12:433–451.

51- Stoy PC, Lin H, Novick KA, Siqueira MBS, Juang JY (2014) The Role of Vegetation on the Ecosystem Radiative Entropy Budget and Trends Along Ecological Succession. Entropy 16 : 3710-3731.

50- Bragalini C, Ribière C, Parisot N, Vallon L, Prudent E, Peyretaillade E, Girlanda M, Peyret P, Marmeisse R, Luis P (2014) Solution Hybrid Selection Capture for the Recovery of Functional Full-Length Eukaryotic cDNAs From Complex Environmental Samples. DNA Research 21:685–694.

49- Mallick K, Jarvis A, Wohlfahrt G, Kiely G, Hirano T, Miyata A, Yamamoto S, Hoffmann L (2014) Components of near-surface energy balance derived from satellite soundings – Part 2 : Noontime latent heat flux. Biogeosciences 11:7369–7382.

48- Niinemets U, Keenan T (2014) Photosynthetic responses to stress in Mediterranean evergreens : Mechanisms and models. Environmental and Experimental Botany 103:24–41.

47- Garbulsky MF, Filella I, Verger A, Peñuelas J (2014) Photosynthetic light use efficiency from satellite sensors : From global to Mediterranean vegetation. Environmental and Experimental Botany 103:3–11.

46- Kallarackal J, Otieno DO, Reineking B, Jung EY, Schmidt MWT, Granier A, Tenhunen JD (2013) Functional convergence in water use of trees from different geographical regions : a meta-analysis. Trees 27:787–799.

45- Menzer O, Moffat AM, Meiring W, Lasslop G, Schukat-Talamazzini EG, Reichstein M (2013) Random errors in carbon and water vapor fluxes assessed with Gaussian Processes. Agricultural and Forest Meteorology 178–179:161–172.

44- Leonenko G, Los SO, North PRJ (2013) Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment 139:257–270.

43- Martínez B, Camacho F, Verger A, García-Haro FL, Gilabert MA (2013) Intercomparison and quality assessment of MERIS, MODIS and SEVIRI FAPAR products over the Iberian Peninsula. International Journal of Applied Earth Observation and Geoinformation 21:463–476.

42- Liu Y, Liu R, Chen JM (2012) Retrospective retrieval of long-term consistent global leaf area index (1981–2011) from combined AVHRR and MODIS data. Journal of Geophysical Research 117:G04003, doi:10.1029/2012JG002084.

41- Cape JN, Tang YS, Gonzalez-Benitez JM, Mitosinkova M, Makkonen U, Jocher M, Stolk A (2012) Organic nitrogen in precipitation across Europe. Biogeosciences 9 : 4401–4409.

40- Davin EL, Stöckli R, Jaeger EB, Levis S, Seneviratne SI (2011) COSMO-CLM2 : a new version of the COSMO-CLM model coupled to the Community Land Model. Climate Dynamics 37:1889–1907.

39- Anav A, Menut L, Khvorostyanov D, Viovy N (2011) Impact of tropospheric ozone on the Euro-Mediterranean vegetation. Global Change Biology 17:342–2359.

38- Bellassen V, Delbart N, Le Maire G, Luyssaert S, Ciais P, Viovy N (2011) Potential knowledge gain in large-scale simulations of forest carbon fluxes from remotely sensed biomass and height. Forest Ecology and Management 261:515–530.

37- Horn JE, Schulz K (2011) Identification of a general light use efficiency model for gross primary production. Biogeosciences 8:999–1021.

36- Nijland W, Jansma E, Addink EA, Dominguez Delmas M, De Jong SM (2011) Relating ring width of Mediterranean evergreen species to seasonal and annual variations of precipitation and temperature. Biogeosciences 8:1141–1152.

35- Yuan W, Luo Y, Li X, Liu S, Yu G, Zhou T, Bahn M, Black A, Desai AR, Cescatti A, Marcolla B, Jacobs C, Chen J, Aurela M, Bernhofer C, Gielen B, Bohrer G, Cook DR, Dragoni D, Dunn AL, Gianelle D, Grünwald T, Ibrom A, Leclerc MY, Lindroth A, Liu H, Belelli Marchesini L, Montagnani L, Pita G, Rodeghiero M, Rodrigues A, Starr G, Stoy PC (2011) Redefinition and global estimation of basal ecosystem respiration rate. Global Biogeochemical Cycles 25:GB4002, doi:10.1029/2011GB004150.

34- Keenan TF, Grote R, Sabate S (2011) Overlooking the canopy : The importance of canopy structure in scaling isoprenoid emissions from the leaf to the landscape. Ecological Modelling 222:737-747.

33- Ryu Y, Nilson T, Kobayashi H, Sonnentag O, LAw B, Baldocchi DD (2010) On the correct estimation of effective leaf area index : Does it reveal information on clumping effects ?. Agricultural and Forest Meteorology 150:463-472.

32- Keenan T, Sabate S, Gracia C (2010) The importance of mesophyll conductance in regulating forest ecosystem productivity during drought periods The importance of mesophyll conductance in regulating forest ecosystem productivity during drought periods. Global Change Biology 16:1019–1034.

31- Lejzerowicz F, Pawlowski J, Fraissinet-Tachet L, Marmeisse R (2010) Molecular evidence for widespread occurrence of Foraminifera in soils. Environmental Microbiology 12(9):2518–2526.

30- Anav A, D’Andrea F, Viovy N, Vuichard N (2010) A validation of heat and carbon fluxes from high‐resolution land surface and regional models. Journal of Geophysical Research 115:G04016, doi:10.1029/2009JG001178.

29- Mahecha MD, Reichstein M, Jung M, Seneviratne SI, Zaehle S, Beer C, Braakhekke MC, Carvalhais N, Lange H, Le Maire G, Moors E (2010) Comparing observations and process‐based simulations of biosphere‐atmosphere exchanges on multiple timescales. Journal of Geophysical Research 115:G02003, doi:10.1029/2009JG001016.

28- Garbulsky MF, Peñuelas J, Papale D, Ardö J, Goulden ML, Kiely G, Richardson AD, Rotenberg E, Veenendaal EM, Filella I (2010) Patterns and controls of the variability of radiation use efficiency and primary productivity across terrestrial ecosystems. Global Ecology and Biogeography 19:253–267.

27- Keenan T, Sabate S, Gracia C (2010) Soil water stress and coupled photosynthesis–conductance models : Bridging the gap between conflicting reports on the relative roles of stomatal, mesophyll conductance and biochemical limitations to photosynthesis. Agricultural and Forest Meteorology 150:443–453.

26- Lasslop G, Reichstein M, Papale D, Richardson AD, Arneth A, Barr A, Stoy P, Wohlfahrt G (2010) Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach : critical issues and global evaluation. Global Change Biology 16:187–208.

25- Jaeger EB, Stockli R, Seneviratne SI (2009) Analysis of planetary boundary layer fluxes and land-atmosphere coupling in the regional climate model CLM. Journal of Geophysical Research 114:D17106, doi:10.1029/2008JD011658.

24- Keenan T, Garcia R, Friend AD, Zaehle S, Gracia C, Sabate S (2009) Improved understanding of drought controls on seasonal variation in Mediterranean forest canopy CO2 and water fluxes through combined in situ measurements and ecosystem modelling. Biogeosciences 6:1423–1444.

23- Verger A, Camacho F, García-Haro FJ, Meliá J (2009) Prototyping of Land-SAF leaf area index algorithm with VEGETATION and MODIS data over Europe. Remote Sensing of Environment 113:2285–2297.

22- Beer C, Ciais P, Reichstein M, Baldocchi D, Law BE, Papale D, Soussana JF, Ammann C, Buchmann N, Frank D, Gianelle D, Janssens IA, Knohl A, Kostner B, Moors E, Roupsard O, Verbeeck H, Vesala T, Williams CA, Wohlfahrt G (2009) Temporal and among-site variability of inherent water use efficiency at the ecosystem level. Global Biogeochemical Cycles 23:GB2018, doi:10.1029/2008GB003233.

21- Stauch VJ, Jarvis AJ, Schulz K (2008) Estimation of net carbon exchange using eddy covariance CO2 flux observations and a stochastic model. Journal of Geophysical Research 113 : D03101, doi:10.1029/2007JD008603.

20- Stöckli R, Rutishauser T, Dragoni D, O’Keefe J, Thornton PE, Jolly M, Lu L, Denning AS (2008) Remote sensing data assimilation for a prognostic phenology model. Journal of Geophysical Research 113:G04021, doi:10.1029/2008JG000781.

19- Garrigues S, Lacaze R, Baret F, Morisette JT, Weiss M, Nickeson JE, Fernandes R, Plummer S, Shabanov NV, Myneni RB, Knyazikhin Y, Yang W (2008) Validation and intercomparison of global Leaf Area Index products derived from remote sensing data. Journal of Geophysical Research 113:G02028, doi:10.1029/2007JG000635.

18- Richardson AD, Mahecha MD, Falge E, Kattge J, Moffat AM, Papale D, Reichstein M, Stauch VJ, Braswell BY, Churkina G, Kruijt B, Hollinger DY. (2008) Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals. Agricultural and Forest Meteorology 148:38- 50.

17- Desai AR, Richardson AD, Moffat AM, Kattge J, Hollinger DY, Barr A, Falge E, Noormets A, Papale D, Reichstein M, Stauch VJ (2008) Cross-site evaluation of eddy covariance GPP and RE decomposition techniques. Agricultural and forest meteorology 148:821–838.

16- Xing Z, Bourque CPA, Meng FR, Cox RM, Swift DE, Zha T, Chowe L (2008) A process-based model designed for filling of large data gaps in tower-based measurements of net ecosystem productivity. Ecological modelling 21:165–179.

15- Davi H, Barbaroux C, Dufrêne E, François C, Montpied P, Bréda N, Badeck F (2008) Modelling leaf mass per area in forest canopy as affected by prevailing radiation conditions. Ecological modelling 211:339–349.

14- Lasslop G, Reichstein M, Kattge J, Papale D (2008) Influences of observation errors in eddy flux data on inverse model parameter estimation. Biogeosciences 5:1311–1324.

13- Carvalhais N, Reichstein M, Seixas J, Collatz GJ, Pereira JS, Berbigier P, Carrara A, Granier A, Montagnani L, Papale D, Rambal S, Sanz MJ, Valentini R (2008) Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval. Global Biogeochemical Cycles 22:doi : 10.1029/2007GB003033.

12- Richardson AD, Hollinger DY (2007) A method to estimate the additional uncertainty in gap-filled NEE resulting from long gaps in the CO2 flux record. Agricultural and Forest Meteorology 147:199–208.

11- Moffat AM, Papale D, Reichstein M, Hollinger DY, Richardson AD, Barr AG, Beckstein C, Braswell BH, Churkina G, Desai AR, Falge E, Gove JH, Heimann M, Hui D, Jarvis AJ, Kattge J, Noormets A, Stauch VJ (2007) Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes. Agricultural and Forest Meteorology 147:209–232.

10- Loustau D, Bosc A, Colin A, Ogée J, Davi H, François C, Dufrêne E, Déqué M, Cloppet E, Arrouays D, LeBas C, Saby N, Pignard G, Hamza N, Granier A, Bréda N, Ciais P, Viovy N, Delage F (2005) Modeling climate change effects on the potential production of French plains forests at the sub-regional level. Tree Physiology 25:813–823.

9- Nilson T (1999) Inversion of gap frequency data in forest stands. Agricultural and Forest Meteorology 98-99:437-448.

8- Matschonat G, Matzner E (1996) Soil chemical properties affecting NH4+ sorption in forest soils. Journal of Plant Nutrition and Soil Science 159:505-511.

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5- Vidal A, Pinglo F, Durand H, Devaux-Ros C, Maillet A (1994) Evaluation of a temporal fire risk index in Mediterranean forest s from NOAA thermal IR. Remote Sensing of Environment 49:296-203.

4- Ducrey M (1992) Quelle sylviculture et quel avenir pour les taillis de chêne vert (Quercus ilex L.) de la région méditerranéenne française. Revue Forestière Française 44(1):12-34.

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1- Ducrey M (1987) Recherches de l’Institut national de la recherche agronomique sur la sylviculture des taillis de chênes verts. Forêt Méditerranéenne 10(1):125-129.