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Publications Citing FLUXNET

The following 78 publications cited the FLUXNET project.

YearCitationDataset or Project
2019Bechtold, M., G.J.M. De Lannoy, R.D. Koster, R.H. Reichle, S.P. Mahanama, W. Bleuten, M.A. Bourgault, C. Brummer, I. Burdun, A.R. Desai, K. Devito, T. Grunwald, M. Grygoruk, E.R. Humphreys, J. Klatt, J. Kurbatova, A. Lohila, T.M. Munir, M.B. Nilsson, J.S. Price, M. Rohl, A. Schneider, and B. Tiemeyer. 2019. PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. Journal of Advances in Modeling Earth Systems. 11(7):2130-2162. https://doi.org/10.1029/2018MS001574
2019El Sharif, H., W. Zhou, V. Ivanov, A. Sheshukov, V. Mazepa, and J. Wang. 2019. Surface Energy Budgets of Arctic Tundra During Growing Season. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2019JD030650
2019Eshel, G., A. Dayalu, S.C. Wofsy, J.W. Munger, and E. Tziperman. 2019. Listening to the Forest: An Artificial Neural Network-Based Model of Carbon Uptake at Harvard Forest. Journal of Geophysical Research: Biogeosciences. 124(3):461-478. https://doi.org/10.1029/2018JG004791
2019Pellet, V., F. Aires, S. Munier, D. Fernandez Prieto, G. Jorda, W.A. Dorigo, J. Polcher, and L. Brocca. 2019. Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle - application to the Mediterranean region. Hydrology and Earth System Sciences. 23(1):465-491. https://doi.org/10.5194/hess-23-465-2019
2019Seghieri, J. 2019. Shea tree (Vitellaria paradoxa Gaertn. f.): from local constraints to multi-scale improvement of economic, agronomic and environmental performance in an endemic Sudanian multipurpose agroforestry species. Agroforestry Systems. https://doi.org/10.1007/s10457-019-00351-1
2018Bottcher, K., K. Rautiainen, M. Aurela, P. Kolari, A. Makela, A.N. Arslan, T.A. Black, and S. Koponen. 2018. Proxy Indicators for Mapping the End of the Vegetation Active Period in Boreal Forests Inferred from Satellite-Observed Soil Freeze and ERA-Interim Reanalysis Air Temperature. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 86(3-4):169-185. https://doi.org/10.1007/s41064-018-0059-y
2018Chu, H., D.D. Baldocchi, C. Poindexter, M. Abraha, A.R. Desai, G. Bohrer, M.A. Arain, T. Griffis, P.D. Blanken, T.L. O'Halloran, R.Q. Thomas, Q. Zhang, S.P. Burns, J.M. Frank, D. Christian, S. Brown, T.A. Black, C.M. Gough, B.E. Law, X. Lee, J. Chen, D.E. Reed, W.J. Massman, K. Clark, J. Hatfield, J. Prueger, R. Bracho, J.M. Baker, and T.A. Martin. 2018. Temporal Dynamics of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks. Geophysical Research Letters. 45(17):9275-9287. https://doi.org/10.1029/2018GL079306
2018Ziemblinska, K., M. Urbaniak, L. Merbold, T.A. Black, A.M. Jagodzinski, M. Herbst, C. Qiu, and J. Olejnik. 2018. The carbon balance of a Scots pine forest following severe windthrow: Comparison of reforestation techniques. Agricultural and Forest Meteorology. 260-261:216-228. https://doi.org/10.1016/j.agrformet.2018.06.012
2017Betts, A.K. and A.C.M. Beljaars. 2017. Analysis of near-surface biases in ERA-Interim over the Canadian Prairies. Journal of Advances in Modeling Earth Systems. 9(5):2158-2173. https://doi.org/10.1002/2017MS001025
2017Law, R.M., E.A. Kowalczyk, and Y.P. Wang. 2017. Using atmospheric CO2 data to assess a simplified carbon-climate simulation for the 20th century. Tellus B: Chemical and Physical Meteorology. 58(5):427-437. https://doi.org/10.1111/j.1600-0889.2006.00198.x
2017Lindauer, M., H.P. Schmid, R. Grote, R. Steinbrecher, M. Mauder, and B. Wolpert. 2017. A Simple New Model for Incoming Solar Radiation Dependent Only on Screen-Level Relative Humidity. Journal of Applied Meteorology and Climatology. 56(7):1817-1825. https://doi.org/10.1175/JAMC-D-16-0085.1
2016Chen, L., Y. Li, F. Chen, A. Barr, M. Barlage, and B. Wan. 2016. The incorporation of an organic soil layer in the Noah-MP land surface model and its evaluation over a boreal aspen forest. Atmospheric Chemistry and Physics. 16(13):8375-8387. https://doi.org/10.5194/acp-16-8375-2016
2016Soyama, N., K. Muramatsu, M. Daigo, F. Ochiai, and N. Fujiwara. 2016. A STUDY ON PRODUCING HIGHLY RELIABILE REFERENCE DATA SETS FOR GLOBAL LAND COVER VALIDATION. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLI-B8:1207-1211. https://doi.org/10.5194/isprs-archives-XLI-B8-1207-2016
2016Wang, Y., G. Li, J. Ding, Z. Guo, S. Tang, C. Wang, Q. Huang, R. Liu, and J.M. Chen. 2016. A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height. Remote Sensing of Environment. 174:24-43. https://doi.org/10.1016/j.rse.2015.12.005
2015El Masri, B., S. Shu, and A.K. Jain. 2015. Implementation of a dynamic rooting depth and phenology into a land surface model: Evaluation of carbon, water, and energy fluxes in the high latitude ecosystems. Agricultural and Forest Meteorology. 211-212:85-99. https://doi.org/10.1016/j.agrformet.2015.06.002
2015Malyshev, S., E. Shevliakova, R.J. Stouffer, and S.W. Pacala. 2015. Contrasting Local versus Regional Effects of Land-Use-Change-Induced Heterogeneity on Historical Climate: Analysis with the GFDL Earth System Model. Journal of Climate. 28(13):5448-5469. https://doi.org/10.1175/JCLI-D-14-00586.1
2014Alexandrov, G.A. 2014. Explaining the seasonal cycle of the globally averaged CO<sub>2</sub> with a carbon-cycle model. Earth System Dynamics. 5(2):345-354. https://doi.org/10.5194/esd-5-345-2014
2014Aminzadeh, M. and D. Or. 2014. Energy partitioning dynamics of drying terrestrial surfaces. Journal of Hydrology. 519:1257-1270. https://doi.org/10.1016/j.jhydrol.2014.08.037
2012Papale, D., D.A. Agarwal, D. Baldocchi, R.B. Cook, J.B. Fisher, and C. van Ingen. 2012. Database Maintenance, Data Sharing Policy, Collaboration. 399-424. https://doi.org/10.1007/978-94-007-2351-1_17
2010Winter, J.M. and E.A.B. Eltahir. 2010. The Sensitivity of Latent Heat Flux to Changes in the Radiative Forcing: A Framework for Comparing Models and Observations. Journal of Climate. 23(9):2345-2356. https://doi.org/10.1175/2009jcli3158.1
2010Zaehle, S. and A.D. Friend. 2010. Carbon and nitrogen cycle dynamics in the O-CN land surface model: 1. Model description, site-scale evaluation, and sensitivity to parameter estimates. Global Biogeochemical Cycles. 24(1):n/a-n/a. https://doi.org/10.1029/2009GB003521
2009Jimenez, C., C. Prigent, and F. Aires. 2009. Toward an estimation of global land surface heat fluxes from multisatellite observations. Journal of Geophysical Research. 114(D6):. https://doi.org/10.1029/2008JD011392
2008Gibelin, A.L., J.C. Calvet, and N. Viovy. 2008. Modelling energy and CO2 fluxes with an interactive vegetation land surface model-Evaluation at high and middle latitudes. Agricultural and Forest Meteorology. 148(10):1611-1628. https://doi.org/10.1016/j.agrformet.2008.05.013
2005Eugster, W., J.P. McFadden, and F. Stuart Chapin. 2005. Differences in Surface Roughness, Energy, and CO2Fluxes in Two Moist Tundra Vegetation Types, Kuparuk Watershed, Alaska, U.S.A. Arctic, Antarctic, and Alpine Research. 37(1):61-67. https://doi.org/10.1657/1523-0430(2005)037[0061:disrea]2.0.co;2https://doi.org/10.1657/1523-0430(2005)037[0061:disrea]2.0.co;2
2002Curtis, P.S., P.J. Hanson, P. Bolstad, C. Barford, J.C. Randolph, H.P. Schmid, and K.B. Wilson. 2002. Biometric and eddy-covariance based estimates of annual carbon storage in five eastern North American deciduous forests. Agricultural and Forest Meteorology. 113(1-4):3-19. https://doi.org/10.1016/S0168-1923(02)00099-0
2002Davidson, E.A., K. Savage, L.V. Verchot, and R. Navarro. 2002. Minimizing artifacts and biases in chamber-based measurements of soil respiration. Agricultural and Forest Meteorology. 113(1-4):21-37. https://doi.org/10.1016/S0168-1923(02)00100-4
2002Davidson, E.A., K. Savage, P. Bolstad, D.A. Clark, P.S. Curtis, D.S. Ellsworth, P.J. Hanson, B.E. Law, Y. Luo, K.S. Pregitzer, J.C. Randolph, and D. Zak. 2002. Belowground carbon allocation in forests estimated from litterfall and IRGA-based soil respiration measurements. Agricultural and Forest Meteorology. 113(1-4):39-51. https://doi.org/10.1016/S0168-1923(02)00101-6
2002Falge, E., D. Baldocchi, J. Tenhunen, M. Aubinet, P. Bakwin, P. Berbigier, C. Bernhofer, G. Burba, R. Clement, K.J. Davis, J.A. Elbers, A.H. Goldstein, A. Grelle, A. Granier, J. Gudmundsson, D. Hollinger, A.S. Kowalski, G. Katul, B.E. Law, Y. Malhi, T. Meyers, R.K. Monson, J.W. Munger, W. Oechel, K.T. Paw U, K. Pilegaard, U. Rannik, C. Rebmann, A. Suyker, R. Valentini, K. Wilson, and S. Wofsy. 2002. Seasonality of ecosystem respiration and gross primary production as derived from FLUXNET measurements. Agricultural and Forest Meteorology. 113(1-4):53-74. https://doi.org/10.1016/S0168-1923(02)00102-8
2002Falge, E., J. Tenhunen, D. Baldocchi, M. Aubinet, P. Bakwin, P. Berbigier, C. Bernhofer, J.M. Bonnefond, G. Burba, R. Clement, K.J. Davis, J.A. Elbers, M. Falk, A.H. Goldstein, A. Grelle, A. Granier, T. Grunwald, J. Gudmundsson, D. Hollinger, I.A. Janssens, P. Keronen, A.S. Kowalski, G. Katul, B.E. Law, Y. Malhi, T. Meyers, R.K. Monson, E. Moors, J.W. Munger, W. Oechel, K.T. Paw U, K. Pilegaard, U. Rannik, C. Rebmann, A. Suyker, H. Thorgeirsson, G. Tirone, A. Turnipseed, K. Wilson, and S. Wofsy. 2002. Phase and amplitude of ecosystem carbon release and uptake potentials as derived from FLUXNET measurements. Agricultural and Forest Meteorology. 113(1-4):75-95. https://doi.org/10.1016/S0168-1923(02)00103-X
2002Law, B.E., E. Falge, L. Gu, D.D. Baldocchi, P. Bakwin, P. Berbigier, K. Davis, A.J. Dolman, M. Falk, J.D. Fuentes, A. Goldstein, A. Granier, A. Grelle, D. Hollinger, I.A. Janssens, P. Jarvis, N.O. Jensen, G. Katul, Y. Mahli, G. Matteucci, T. Meyers, R. Monson, W. Munger, W. Oechel, R. Olson, K. Pilegaard, K.T. Paw U, H. Thorgeirsson, R. Valentini, S. Verma, T. Vesala, K. Wilson, and S. Wofsy. 2002. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation. Agricultural and Forest Meteorology. 113(1-4):97-120. https://doi.org/10.1016/S0168-1923(02)00104-1
2002Massman, W.J. and X. Lee. 2002. Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges. Agricultural and Forest Meteorology. 113(1-4):121-144. https://doi.org/10.1016/S0168-1923(02)00105-3
2002Pattey, E., I.B. Strachan, R.L. Desjardins, and J. Massheder. 2002. Measuring nighttime CO2 flux over terrestrial ecosystems using eddy covariance and nocturnal boundary layer methods. Agricultural and Forest Meteorology. 113(1-4):145-158. https://doi.org/10.1016/S0168-1923(02)00106-5
2002Schmid, H.P. 2002. Footprint modeling for vegetation atmosphere exchange studies: a review and perspective. Agricultural and Forest Meteorology. 113(1-4):159-183. https://doi.org/10.1016/S0168-1923(02)00107-7
2002Thornton, P.E., B.E. Law, H.L. Gholz, K.L. Clark, E. Falge, D.S. Ellsworth, A.H. Goldstein, R.K. Monson, D. Hollinger, M. Falk, J. Chen, and J.P. Sparks. 2002. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology. 113(1-4):185-222. https://doi.org/10.1016/S0168-1923(02)00108-9
2002Wilson, K., A. Goldstein, E. Falge, M. Aubinet, D. Baldocchi, P. Berbigier, C. Bernhofer, R. Ceulemans, H. Dolman, C. Field, A. Grelle, A. Ibrom, B.E. Law, A. Kowalski, T. Meyers, J. Moncrieff, R. Monson, W. Oechel, J. Tenhunen, R. Valentini, and S. Verma. 2002. Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology. 113(1-4):223-243. https://doi.org/10.1016/S0168-1923(02)00109-0
2018Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, and K.C. Hegewisch. 2018. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Scientific Data. 5:170191. https://doi.org/10.1038/sdata.2017.191
2018Bjorkegren, A. and C. Grimmond. 2018. Net carbon dioxide emissions from central London. Urban Climate. 23:131-158. https://doi.org/10.1016/j.uclim.2016.10.002
2018Chen, Z., G. Yu, and Q. Wang. 2018. Ecosystem carbon use efficiency in China: Variation and influence factors. Ecological Indicators. 90:316-323. https://doi.org/10.1016/j.ecolind.2018.03.025
2018Garuma, G.F. 2018. Review of urban surface parameterizations for numerical climate models. Urban Climate. 24:830-851. https://doi.org/10.1016/j.uclim.2017.10.006
2017Djomo, A.N., J.A. Grant, C. Fonyikeh-Bomboh Lucha, J. Tchoko Gagoe, N.H. Fonton, N. Scott, and D.J. Sonwa. 2017. Forest governance and REDD+ in Central Africa: towards a participatory model to increase stakeholder involvement in carbon markets. International Journal of Environmental Studies. 75(2):251-266. https://doi.org/10.1080/00207233.2017.1347358
2017Dong, J., L. Li, H. Shi, X. Chen, G. Luo, and Q. Yu. 2017. Robustness and Uncertainties of the "Temperature and Greenness" Model for Estimating Terrestrial Gross Primary Production. Scientific Reports. 7(1):. https://doi.org/10.1038/srep44046
2017He, T., S. Liang, and D. Wang. 2017. Direct Estimation of Land Surface Albedo From Simultaneous MISR Data. IEEE Transactions on Geoscience and Remote Sensing. 55(5):2605-2617. https://doi.org/10.1109/TGRS.2017.2648847
2017Hember, R., N. Coops, and D. Spittlehouse. 2017. Spatial and Temporal Variability of Potential Evaporation across North American Forests. Hydrology. 4(1):5. https://doi.org/10.3390/hydrology4010005
2017Jin, H., A.M. Jonsson, K. Bolmgren, O. Langvall, and L. Eklundh. 2017. Disentangling remotely-sensed plant phenology and snow seasonality at northern Europe using MODIS and the plant phenology index. Remote Sensing of Environment. 198:203-212. https://doi.org/10.1016/j.rse.2017.06.015
2017Lausch, A., S. Erasmi, D. King, P. Magdon, and M. Heurich. 2017. Understanding Forest Health with Remote Sensing-Part II--A Review of Approaches and Data Models. Remote Sensing. 9(2):129. https://doi.org/10.3390/rs9020129
2017Law, R.M., E.A. Kowalczyk, and Y.P. Wang. 2017. Using atmospheric CO2 data to assess a simplified carbon-climate simulation for the 20th century. Tellus B: Chemical and Physical Meteorology. 58(5):427-437. https://doi.org/10.1111/j.1600-0889.2006.00198.x
2017Lee, J.K., A. Christen, R. Ketler, and Z. Nesic. 2017. A mobile sensor network to map carbon dioxide emissions in urban environments. Atmospheric Measurement Techniques. 10(2):645-665. https://doi.org/10.5194/amt-10-645-2017
2017Peng, S., J. Wen, Q. Xiao, D. You, B. Dou, Q. Liu, and Y. Tang. 2017. Multi-Staged NDVI Dependent Snow-Free Land-Surface Shortwave Albedo Narrowband-to-Broadband (NTB) Coefficients and Their Sensitivity Analysis. Remote Sensing. 9(1):93. https://doi.org/10.3390/rs9010093
2017Shifley, S.R., H.S. He, H. Lischke, W.J. Wang, W. Jin, E.J. Gustafson, J.R. Thompson, F.R. Thompson, W.D. Dijak, and J. Yang. 2017. The past and future of modeling forest dynamics: from growth and yield curves to forest landscape models. Landscape Ecology. 32(7):1307-1325. https://doi.org/10.1007/s10980-017-0540-9
2016Abramoff, R.Z. and A.C. Finzi. 2016. Seasonality and partitioning of root allocation to rhizosphere soils in a midlatitude forest. Ecosphere. 7(11):e01547. https://doi.org/10.1002/ecs2.1547
2016Azmi, M., C. Rudiger, and J.P. Walker. 2016. A data fusion-based drought index. Water Resources Research. 52(3):2222-2239. https://doi.org/10.1002/2015WR017834
2016Boke-Olen, N., V. Lehsten, J. Ardo, J. Beringer, L. Eklundh, T. Holst, E. Veenendaal, and T. Tagesson. 2016. Estimating and Analyzing Savannah Phenology with a Lagged Time Series Model. PLOS ONE. 11(4):e0154615. https://doi.org/10.1371/journal.pone.0154615
2016Chaney, N.W., J.D. Herman, M.B. Ek, and E.F. Wood. 2016. Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning. Journal of Geophysical Research: Atmospheres. 121(22):13,218-13,235. https://doi.org/10.1002/2016JD024821
2016Davison, B., A. Pietroniro, V. Fortin, R. Leconte, M. Mamo, and M.K. Yau. 2016. What is Missing from the Prescription of Hydrology for Land Surface Schemes?. Journal of Hydrometeorology. 17(7):2013-2039. https://doi.org/10.1175/JHM-D-15-0172.1
2016Jorge, F., C. Riva, and A. Rocha. 2016. Characterization of interfade duration for satellite communication systems design and optimization in a temperate climate. Radio Science. 51(3):150-159. https://doi.org/10.1002/2015RS005865
2016Yu, G., W. Ren, Z. Chen, L. Zhang, Q. Wang, X. Wen, N. He, L. Zhang, H. Fang, X. Zhu, Y. Gao, and X. Sun. 2016. Construction and progress of Chinese terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation. Journal of Geographical Sciences. 26(7):803-826. https://doi.org/10.1007/s11442-016-1300-5
2014Jagermeyr, J., D. Gerten, W. Lucht, P. Hostert, M. Migliavacca, and R. Nemani. 2014. A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data. Global Change Biology. 20(4):1191-1210. https://doi.org/10.1111/gcb.12443
2013Bright, R.M. and M.M. Kvalevag. 2013. Technical Note: Evaluating a simple parameterization of radiative shortwave forcing from surface albedo change. Atmospheric Chemistry and Physics. 13(22):11169-11174. https://doi.org/10.5194/acp-13-11169-2013
2013Herdianto, R., K. Paik, N.A. Coles, and K. Smettem. 2013. Transitional responses of vegetation activities to temperature variations: Insights obtained from a forested catchment in Korea. Journal of Hydrology. 484:86-95. https://doi.org/10.1016/j.jhydrol.2013.01.011
2013Spank, U., K. Schwarzel, M. Renner, U. Moderow, and C. Bernhofer. 2013. Effects of measurement uncertainties of meteorological data on estimates of site water balance components. Journal of Hydrology. 492:176-189. https://doi.org/10.1016/j.jhydrol.2013.03.047
2013Velpuri, N.M., G.B. Senay, R.K. Singh, S. Bohms, and J.P. Verdin. 2013. A comprehensive evaluation of two MODIS evapotranspiration products over the conterminous United States: Using point and gridded FLUXNET and water balance ET. Remote Sensing of Environment. 139:35-49. https://doi.org/10.1016/j.rse.2013.07.013
2013Vizcarra, Natasha. (2013) The secrets of leaves. https://earthdata.nasa.gov/featured-stories/featured-research/secrets-leaves
2012Nizzetto, L. and J.A. Perlinger. 2012. Climatic, Biological, and Land Cover Controls on the Exchange of Gas-Phase Semivolatile Chemical Pollutants between Forest Canopies and the Atmosphere. Environmental Science & Technology. 46(5):2699-2707. https://doi.org/10.1021/es2036527
2011Barchyn, T.E., C.H. Hugenholtz, and J.T. Ellis. 2011. A call for standardization of aeolian process measurements: moving beyond relative case studies. Earth Surface Processes and Landforms. 36(5):702-705. https://doi.org/10.1002/esp.2136
2011Hellstrom, M., Sedletski, A., Lindroth, A., LUCCI Annual Report 2010/2011, (2011). The DbNECC database project. 16-18.
2011Lukes, P., M. Rautiainen, P. Stenberg, and Z. Malenovsky. 2011. Empirical test of the spectral invariants theory using imaging spectroscopy data from a coniferous forest. International Journal of Applied Earth Observation and Geoinformation. 13(4):668-675. https://doi.org/10.1016/j.jag.2011.04.003
2011Page, SE., Morrison, R., Malins, C., Hooijer, A., Rieley, JO., Jauhiainen, J.; (2011). Review of Peat Surface Greenhouse Gas Emissions from Oil Palm Plantations in Southeast Asia. Indirect Effects of Biofuel Production. (White Paper 15), ISBN: White Paper 15.
2011Staudt, K., A. Serafimovich, L. Siebicke, R.D. Pyles, and E. Falge. 2011. Vertical structure of evapotranspiration at a forest site (a case study). Agricultural and Forest Meteorology. 151(6):709-729. https://doi.org/10.1016/j.agrformet.2010.10.009
2011Van den Hoof, C., E. Hanert, and P.L. Vidale. 2011. Simulating dynamic crop growth with an adapted land surface model - JULES-SUCROS: Model development and validation. Agricultural and Forest Meteorology. 151(2):137-153. https://doi.org/10.1016/j.agrformet.2010.09.011
2009Gu, L.; (2009). Estimation of Net Ecosystem Carbon Exchange for the Conterminous United States by Combining MODIS and AmeriFlux Data. Lawrence Berkeley Technical Report. http://escholarship.org/uc/item/5kc1x6fj
2009Refuge, CLW.; (2009). Greater Platte River Basins: Science to Sustain Ecosystems and Communities. USGS Fact Sheet 20093097.
2009Tittebrand, A., U. Spank, and C. Bernhofer. 2009. Comparison of satellite- and ground-based NDVI above different land-use types. Theoretical and Applied Climatology. 98(1-2):171-186. https://doi.org/10.1007/s00704-009-0103-3
2008Roupsard, O., G. le Maire, Y. Nouvellon, J. Dauzat, C. Jourdan, M. Navarro, J.M. Bonnefond, L. Saint-Andre, I. Mialet-Serra, O. Hamel, A. Rouziere, and J.P. Bouillet. 2008. Scaling-up productivity (NPP) using light or water use efficiencies (LUE, WUE) from a two-layer tropical plantation. Agroforestry Systems. 76(2):409-422. https://doi.org/10.1007/s10457-008-9191-9
2008Xiao, J., Q. Zhuang, D.D. Baldocchi, B.E. Law, A.D. Richardson, J. Chen, R. Oren, G. Starr, A. Noormets, S. Ma, S.B. Verma, S. Wharton, S.C. Wofsy, P.V. Bolstad, S.P. Burns, D.R. Cook, P.S. Curtis, B.G. Drake, M. Falk, M.L. Fischer, D.R. Foster, L. Gu, J.L. Hadley, D.Y. Hollinger, G.G. Katul, M. Litvak, T.A. Martin, R. Matamala, S. McNulty, T.P. Meyers, R.K. Monson, J.W. Munger, W.C. Oechel, K.T. Paw U, H.P. Schmid, R.L. Scott, G. Sun, A.E. Suyker, and M.S. Torn. 2008. Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data. Agricultural and Forest Meteorology. 148(11):1827-1847. https://doi.org/10.1016/j.agrformet.2008.06.015
2008Yi, C., D.E. Anderson, A.A. Turnipseed, S.P. Burns, J.P. Sparks, D.I. Stannard, and R.K. Monson. 2008. THE CONTRIBUTION OF ADVECTIVE FLUXES TO NET ECOSYSTEM EXCHANGE IN A HIGH-ELEVATION, SUBALPINE FOREST. Ecological Applications. 18(6):1379-1390. https://doi.org/10.1890/06-0908.1
2006Hultman, N.E. 2006. Geographic diversification of carbon risk--A methodology for assessing carbon investments using eddy correlation measurements. Global Environmental Change. 16(1):58-72. https://doi.org/10.1016/j.gloenvcha.2005.06.005
2005Tan, Bin; Hu, Jiannan; Huang, Dong; Yang, Wenze; Zhang, Ping; Shabanov, Nikolay V.; Knyazikhin, Yuri; Nemani, Ramakrishna R.; Myneni, Ranga B.2005. Assessment of the broadleaf crops leaf area index product from the Terra MODIS instrument. Agricultural and Forest Meteorology. 135(1-4):124-134. https://doi.org/10.1016/j.agrformet.2005.https://doi.org/10.008
2003Turner, D.P., W.D. Ritts, W.B. Cohen, S.T. Gower, M. Zhao, S.W. Running, S.C. Wofsy, S. Urbanski, A.L. Dunn, and J.W. Munger. 2003. Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment. 88(3):256-270. https://doi.org/10.1016/j.rse.2003.06.005