Evaluation of a terrestrial carbon cycle submodel in an Earth system model using networks of eddy covariance observations

References

• Abramowitz, G., Leuning, R., Clark, M. and Pitman, A. 2008. Evaluating the performance of land surface models. J. Clim. 21, 5468–5481.
   Web of Science ®Google Scholar
• Anthoni, P. M., Knohl, A., Rebmann, C., Freibauer, A., Mund, M. and co-authors. 2004. Forest and agricultural land-use-dependent CO2 ex-change in Thuringia, Germany. Global Change Biol. 10, 2005–2019.
   Web of Science ®Google Scholar
• Aubinet, M., Chermanne, B., Vandenhaute, M., Longdoz, B., Yernaux, M. and co-authors. 2001. Long term carbon dioxide exchange above a mixed forest in the Belgian Ardennes. Agric. Forest MeteoroL 108, 293-315.
   Google Scholar
• Baker, I. T., Prihodko, L., Denning, A. S., Goulden, M., Miller, S. and co-authors. 2008. Seasonal drought stress in the Amazon: reconciling models and observations. J. Geophys. Res.-Biogeosci. 113, GOOB01, doi:10.1029/2007JG000644.
   Google Scholar
• Bala, G., Caldeira, K., Mirin, A., Wickett, M., Delire, C. and co-authors. 2006. Biogeophysical effects of CO2 fertilization on global climate. Tellus 58B, 620-627.
   Google Scholar
• Baldocchi, D. 2008. ‘Breathing’ of the terrestrial biosphere: lesson learned from a global network of carbon dioxide flux mesurement systems. Turner Review No. 15, Aust. J. BoL 56, 1–26.
   Google Scholar
• Baldocchi, D., Falge, E., Gu, L. H., Olson, R., Hollinger, D. and co-authors. 2001. FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bull. Am. MeteoroL Soc. 82, 2415-2434.
   Google Scholar
• Baldocchi, D. D., Xu, L. K. and Kiang, N. 2004. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grass-land. Agric. Forest MeteoroL 123, 13–39.
   Web of Science ®Google Scholar
• Berthelot, M., Friedlingstein, R, Ciais, R, Dufresne, J. L. and Monfray, P. 2005. How uncertainties in future climate change predictions translate into future terrestrial carbon fluxes. Global Change Biol. 11,959–970.
   Web of Science ®Google Scholar
• Bitz, C. M., Holland, M. M., Weaver, A. J. and Eby, M. 2001. Simulating the ice-thickness distribution in a coupled climate model. J. Geophys. Res.-Oceans 106, 2441–2463.
   Web of Science ®Google Scholar
• Collatz, G J., Ball, J. T., Grivet, C. and Berry, J. A. 1991. Physiological and environmental-regulaton of stomatal conductance, photosynthesis and transpiration—a model that includes a laminar boundary-layer. Agric. Forest MeteoroL 54, 107-136.
   Google Scholar
• Collatz, G. J., Ribas-Carbo, M. and Berry, J. A. 1992. Coupled photosynthesis-stomatal conductance model for leaves of C4 plants. Aust. J. Plant PhysioL 19, 519–538.
   Google Scholar
• Cox, P.M. 2001. Description of the “TRIFFID” Dynamic Global Vege-tation Model. Hadley Center Technical Note 24. Met Office, UK.
   Google Scholar
• Cox, P. M., Betts, R. A., Bunton, C. B., Essery, R. L. H., Rowntree, P. R. and co-authors. 1999. The impact of new land surface physics on the GCM simulation of climate and climate sensitivity. Clim. Dyn. 15, 183-203.
   Google Scholar
• Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A. and Totterdell, I. J. 2000. Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model. Nature 408, 184–187.
   PubMed Web of Science ®Google Scholar
• Dufresne, J. L., Friedlingstein, R, Berthelot, M., Bopp, L., Ciais, P. and co-authors. 2002. On the magnitude of positive feedback between future climate change and the carbon cycle. Geophys. Res. Lett. 29, 1405, doi:10.1029/2001GL013777.
   Google Scholar
• Essery, R. and Clark, D. B. 2003. Developments in the MOSES 2 land-surface model for PILPS 2e. Global Planet. Change 38, 161–164.
   Web of Science ®Google Scholar
• Etheridge, D. M., Steele, L. P., Langenfelds, R. L., Francey, R. J., Barnola, J. M. and co-authors. 1998. Historical CO2 records from the Law Dome DE08, DE08-2, and DSS ice cores. In: Trends: A Com-pendium of Data on Global Change. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., USA.
   Google Scholar
• Friedlingstein, P., Cox, P., Betts, R., Bopp, L., Von Bloh, W. and co-authors. 2006. Climate-carbon cycle feedback analysis: results from the (CMIP)-M-4 model intercomparison. J. Clim. 19, 3337-3353.
   Google Scholar
• Gilmanov, T. G., Tieszen, L. L., Wylie, B. K., Flanagan, L. B., Frank, A. B. and co-authors. 2005. Integration of CO2 flux and remotely-sensed data for primary production and ecosystem respiration analyses in the Northern Great Plains: potential for quantitative spatial extrapolation. Global EcoL Biogeogr 14, 271-292.
   Google Scholar
• Goldstein, A. H., Hultman, N. E., Fracheboud, J. M., Bauer, M. R., Panek, J. A. and co-authors. 2000. Effects of climate variability on the carbon dioxide, water, and sensible heat fluxes above a ponderosa pine plantation in the Sierra Nevada (CA). Agric. Forest MeteoroL 101, 113-129.
   Google Scholar
• Gough, C. M., Vogel, C. S., Schmid, H. P., Su, H. B. and Curtis, P. S. 2008. Multi-year convergence of biometric and meteorological esti-mates of forest carbon storage. Agric. Forest MeteoroL 148, 158–170.
   Web of Science ®Google Scholar
• Goulden, M. L., Miller, S. D., da Rocha, H. R., Menton, M. C., de Freitas, H. C. and co-authors. 2004. Diel and seasonal patterns of tropical forest CO2 exchange. Ecol. AppL 14, S42-S54.
   Google Scholar
• Granier, A., Ceschia, E., Damesin, C., Dufrene, E., Epron, D. and co-authors. 2000. The carbon balance of a young Beech forest. FuncL EcoL 14, 312-325.
   Google Scholar
• Gu, L. H., Meyers, T., Pallardy, S. G., Hanson, P. J., Yang, B. and co-authors. 2006. Direct and indirect effects of atmospheric conditions and soil moisture on surface energy partitioning revealed by a pro-longed drought at a temperate forest site. J. Geophys. Res.-Atmos. 111, D16102, doi:10.1029/2006JD007161.
   Google Scholar
• Gu, L. H., Meyers, T., Pallardy, S. G., Hanson, P. J., Yang, B. and co-authors. 2007. Influences of biomass heat and biochemical energy storages on the land surface fluxes and radiative temperature. J. Geo-phys. Res.-Atmos. 112, D02107, doi:10.1029/2006JDO07425.
   Google Scholar
• Hirata, R., Hirano, T., Saigusa, N., Fujinuma, Y., Inulcai, K. and co-authors. 2007. Seasonal and interannual variations in carbon dioxide exchange of a temperate larch forest. Agric. Forest MeteoroL 147, 110-124.
   Google Scholar
• Hirata, R., Saigusa, N., Yamamoto, S., Ohtani, Y., Ide, R. and co-authors. 2008. Spatial distribution of carbon balance in forest ecosystems across East Asia. Agric. Forest Meteorol. 148, 761-775.
   Google Scholar
• Hollinger, D. Y., Goltz, S. M., Davidson, E. A., Lee, J. T., Tu, K. and co-authors. 1999. Seasonal patterns and environmental control of carbon dioxide and water vapour exchange in an ecotonal boreal forest. Global Change Biol. 5, 891-902.
   Google Scholar
• Hollinger, D. Y., Aber, J., Dail, B., Davidson, E. A., Goltz, S. M. and co-authors. 2004. Spatial and temporal variability in forest-atmosphere CO2 exchange. Global Change Biol. 10, 1689–1706.
   Web of Science ®Google Scholar
• Hutyra, L. R., Munger, J. W., Saleska, S. R., Gottlieb, E., Daube, B. C. and co-authors. 2007. Seasonal controls on the exchange of carbon and water in an Amazonian rain forest. J. Geophys. Res.-Biogeosci. 112, G03008, doi:10.1029/2006JG000365.
   Google Scholar
• Ichii, K., Matsui, Y., Muralcami, K., Mulcai, T., Yamaguchi, Y. and co-authors. 2003. A simple global carbon and energy coupled cycle model for global warming simulation: sensitivity to the light saturation effect. Tellus 55B, 676-691.
   Google Scholar
• Ichii, K., Hashimoto, H., White, M. A., Potters, C., Hutyra, L. R. and co-authors. 2007. Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality. Global Change Biol. 13, 67-77.
   Google Scholar
• Ichii, K., White, M. A., Votava, P., Michaelis, A. and Nemani, R. R. 2008. Evaluation of snow models in terrestrial biosphere models using ground observation and satellite data: impact on terrestrial ecosystem processes. HydroL Process. 22, 347–355.
   Web of Science ®Google Scholar
• Ichii, K., Wang, W. L., Hashimoto, H., Yang, F. H., Votava, P. and co-authors. 2009. Refinement of rooting depths using satellite-based evapotranspiration seasonality for ecosystem modeling in California. Agric. Forest MeteoroL 149, 1907–1918.
   Web of Science ®Google Scholar
• Irvine, J., Law, B. E. and Hibbard, K. A. 2007. Postfire carbon pools and fluxes in semiarid ponderosa pine in Central Oregon. Global Change Biol. 13, 1748–1760.
   Web of Science ®Google Scholar
• Ito, A. 2005. Climate-related uncertainties in projections of the twenty-first century terrestrial carbon budget: off-line model experiments us-ing IPCC greenhouse-gas scenarios and AOGCM climate projections. Climate Dyn. 24, 435–448.
   Web of Science ®Google Scholar
• Jenkins, J. P., Richardson, A. D., Braswell, B. H., Ollinger, S. V., Hollinger, D. Y. and co-authors. 2007. Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements. Agric. Forest Me-teoroL 143, 64-79.
   Google Scholar
• Jones, C. D., Cox, P. and Huntingford, C. 2003. Uncertainty in climate-carbon-cycle projections associated with the sensitivity of soil respi-ration to temperature. Taus 55B, 642–648.
   Google Scholar
• Joos, E, Prentice, I. C., Sitch, S., Meyer, R., Hooss, G. and co-authors. 2001. Global warming feedbacks on terrestrial carbon uptake under the Intergovernmental Panel on Climate Change (IPCC) emission scenarios. Global Biogeochem. Cycles 15, 891-907.
   Google Scholar
• Jung, M., Reichstein, M. and Bondeau, A. 2009. Towards global empiri-cal upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model. Biogeo-sciences 6, 2001–2013.
   Web of Science ®Google Scholar
• Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D. and co-authors. 1996. The NCEP/NCAR 40-year reanalysis project. Bull. Am. MeteoroL Soc. 77, 437-471.
   Google Scholar
• Kato, T., Ito, A. and Kawamiya, M. 2009. Multiple temporal scale vari-ability during the twentieth century in global carbon dynamics simu-lated by a coupled climate-terrestrial carbon cycle model. Clim. Dyn. 32, 901–923.
   Web of Science ®Google Scholar
• Keeling, R. F., Piper, S. C., Bollenbacher, A. F. and Walker, J. S. 2009. Atmospheric CO2 records from sites in the SIO air sampling network. In: Trends: A Compendium of Data on Global Change. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., USA, doi:10.3334/CDIAC/atg.035.
   Google Scholar
• Kheshgi, H. S. and Jain, A. K. 2003. Projecting future climate change: implications of carbon cycle model intercomparisons. Global Bio-geochem. Cycles 17, 1047, doi:10.1029/2001GB001842.
   Web of Science ®Google Scholar
• Knohl, A., Schulze, E. D., Kolle, O. and Buchmann, N. 2003. Large carbon uptake by an unmanaged 250-year-old deciduous forest in Central Germany. Agric. Forest MeteoroL 118, 151-167.
   Google Scholar
• Kowalski, A. S., Loustau, D., Berbigier, R, Manca, G., Tedeschi, V. and co-authors. 2004. Paired comparisons of carbon exchange be-tween undisturbed and regenerating stands in four managed forests in Europe. Global Change Biol. 10, 1707–1723.
   Web of Science ®Google Scholar
• Kucharilc, C J., Barford, C. C., El Maayar, M., Wofsy, S. C., Monson, R. K. and co-authors. 2006. A multiyear evaluation of a Dynamic Global Vegetation Model at three AmeriFlux forest sites: vegetation structure, phenology, soil temperature, and CO2 and H20 vapor exchange. EcoL Modell. 196, 1-31.
   Google Scholar
• Law, B. E., Sun, O. J., Campbell, J., Van Tuyl, S. and Thornton, P. E. 2003. Changes in carbon storage and fluxes in a chronosequence of ponderosa pine. Global Change Biol. 9, 510-524.
   Google Scholar
• Law, B. E., Turner, D., Campbell, J., Sun, O. J., Van Tuyl, S. and co-authors. 2004. Disturbance and climate effects on carbon stocks and fluxes across Western Oregon USA. Global Change Biol. 10, 1429-1444.
   Google Scholar
• Lee, J. E., Oliveira, R. S., Dawson, T. E. and Fung, I. 2005. Root functioning modifies seasonal climate. Proc. Natl. Acad. Sci. U. S. A. 102, 17576–17581.
   PubMed Web of Science ®Google Scholar
• Lenton, T. M. 2000. Land and ocean carbon cycle feedback effects on global warming in a simple Earth system model. Tellus 52B, 1159–1188.
   Google Scholar
• Li, S. G., Asanuma, J., Kotani, A., Eugster, W., Davaa, G. and co-authors. 2005. Year-round measurements of net ecosystem CO2 flux over a montane larch forest in Mongolia. J. Geophys. Res.-Atmos. 110, D09303, doi:10.1029/2004JD005453.
   Google Scholar
• Ma, S. Y., Baldocchi, D. D., Xu, L. K. and Hehn, T. 2007. Inter-annual variability in carbon dioxide exchange of an oak/grass savanna and open grassland in California. Agric. Forest MeteoroL 147, 157–171.
   Web of Science ®Google Scholar
• Magnani, F., Mencuccini, M., Borghetti, M., Berbigier, P., Berninger, F. and co-authors. 2007. The human footprint in the carbon cycle of temperate and boreal forests. Nature 447, 848-850.
   Google Scholar
• Mahecha, M. D., Reichstein, M., Jung, M., Seneviratne, S I., Zaehle, S. and co-authors. 2010. Comparing observations and process-based simulations of biosphere-atmosphere exchanges on multiple time scales. J. Geophys. Res.-Biogeosci., 115, G02003, doi:10.1029/2009JG001016.
   Google Scholar
• Marland, G., Boden, T. A., Andres, R. J. 2005. Global, regional, and national CO2 emissions. In: Trends: A Compendium of Data on Global Change. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, TN, USA.
   Google Scholar
• Matthews, H. D., Eby, M., Weaver, A. J. and Hawkins, B. J. 2005a. Primary productivity control of simulated carbon cycle-climate feed-backs. Geophys. Res. Lett. 32, L14708, doi:10.1029/2005GL022941.
   Web of Science ®Google Scholar
• Matthews, H. D., Weaver, A. J. and Meissner, K. J. 2005b. Terrestrial carbon cycle dynamics under recent and future climate change. J. Clim. 18, 1609–1628.
   Web of Science ®Google Scholar
• Matthews, H. D. and Caldeira, K. 2008. Stabilizing climate re-quires near-zero emissions. Geophys. Res. Lett. 35, L04705, doi:10.1029/2007GL032388.
   Web of Science ®Google Scholar
• Matthews, H. D., Gillett, N P., Stott, P. A. and Zicicfeld, K. 2009. The proportionality of global warming to cumulative carbon emissions. Nature 459, 829-823.
   Google Scholar
• McMillan, A. M. S., Winston, G. C. and Goulden, M. L. 2008. Age-dependent response of boreal forest to temperature and rainfall vari-ability. Global Change Biol. 14, 1904–1916.
   Web of Science ®Google Scholar
• Medlyn, B. E., Robinson, A P., Clement, R. and McMurtrie, R. E. 2005. On the validation of models of forest CO2 exchange using eddy covariance data: some perils and pitfalls. Tree PhysioL 25, 839-857.
   Google Scholar
• Meissner, K. J., Weaver, A. J., Matthews, H. D. and Cox, P. M. 2003. The role of land surface dynamics in glacial inception: a study with the UVic Earth System Model. Clim. Dyn. 21, 515–537.
   Web of Science ®Google Scholar
• Misson, L., Tu, K P., Boniello, R. A. and Goldstein, A. H. 2006. Season-ality of photosynthetic parameters in a multi-specific and vertically complex forest ecosystem in the Sierra Nevada of California. Tree PhysioL 26, 729-741.
   Google Scholar
• Miyama, T. and Kawamiya, M. 2009. Estimating allowable car-bon emission for CO2 concentration stabilization using a GCM-based Earth system model. Geophys. Res. Lett. 36, L19709, doi:10.1029/2009GL039678.
   Web of Science ®Google Scholar
• Moffat, A. M., Papale, D., Reichstein, M., Hollinger, D. Y., Richardson, A. D. and co-authors. 2007. Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes. Agric. Forest Me-teoroL 147, 209-232.
   Google Scholar
• Morales, P., Sykes, M. T., Prentice, I. C., Smith, P., Smith, B. and co-authors. 2005. Comparing and evaluating process-based ecosystem model predictions of carbon and water fluxes in major European forest biomes. Global Change Biol. 11, 2211-2233.
   Google Scholar
• O'Ishi, R. and Abe-Ouchi, A. 2009. Influence of dynamic vegetation on climate change arising from increasing CO2. Clim. Dyn. 33, 645-663.
   Web of Science ®Google Scholar
• O'Ishi, R., Abe-Ouchi, A., Prentice, I. C. and Sitch, S. 2009. Vegetation dynamics and plant CO2 responses as positive feed-backs in a greenhouse world. Geophys. Res. Lett. 36, L11706, doi:10.1029/2009GL038217.
   Google Scholar
• Oren, R., Ewers, B. E., Todd, R, Phillips, N. and Katul, G. 1998. Water balance delineates the soil layer in which moisture affects canopy conductance. EcoL AppL 8, 990–1002.
   Web of Science ®Google Scholar
• Oren, R., Hseih, C I., Stoy, R., Albertson, J., McCarthy, H. R. and co-authors. 2006. Estimating the uncertainty in annual net ecosystem carbon exchange: spatial variation in turbulent fluxes and sampling errors in eddy-covariance measurements. Global Change Biol. 12, 883-896.
   Google Scholar
• Pacanowski, R. 1995. MOM2 Documentation User's Guide and Refer-ence Manual. GFDL Ocean Group Technical Report, NOAA, GFDL, Princeton, USA, 232.
   Google Scholar
• Papale, D. and Valentini, A. 2003. A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatial-ization. Global Change Biol. 9, 525–535.
   Web of Science ®Google Scholar
• Pilegaard, K., Hummelshoj, P., Jensen, N. O. and Chen, Z. 2001. Two years of continuous CO2 eddy-flux measurements over a Danish beech forest. Agric. Forest MeteoroL 107, 29-41.
   Google Scholar
• Poulter, B., Heyder, U. and Cramer, W. 2009. Modeling the sensitivity of the seasonal cycle of GPP to dynamic LAI and soil depths in tropical rainforests. Ecosystems 12, 517-533.
   Google Scholar
• Powell, T. L., Gholz, H. L., Clark, K. L., Starr, G., Cropper, W. P. and co-authors. 2008. Carbon exchange of a mature, naturally regenerated pine forest in north Florida. Global Change Biol. 14, 2523-2538.
   Google Scholar
• Randerson, J. T., Hoffman, F. M., Thornton, P. E., Mahowald, N. M., Lindsay, K. and co-authors. 2009. Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon models. Global Change Biol. 15, 2462-2484.
   Google Scholar
• Rannilc, U., Keronen, P., Hari, P. and Vesala, T. 2004. Estimation of forest-atmosphere CO2 exchange by eddy covariance and profile tech-niques. Agric. Forest MeteoroL 126, 141-155.
   Google Scholar
• Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M. and co-authors. 2005. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algo-rithm. Global Change Biol. 11, 1424-1439.
   Google Scholar
• Saigusa, N., Yamamoto, S., Murayama, S., Kondo, H. and Nishimura, N. 2002. Gross primary production and net ecosystem exchange of a cool-temperate deciduous forest estimated by the eddy covariance method. Agric. Forest MeteoroL 112, 203–215.
   Web of Science ®Google Scholar
• Saigusa, N., Yamamoto, S., Hirata, R., Ohtani, Y., Ide, R. and co-authors. 2008. Temporal and spatial variations in the seasonal patterns of CO2 flux in boreal, temperate, and tropical forests in East Asia. Agric. Forest MeteoroL 148, 700-713.
   Google Scholar
• Saleslca, S R., Miller, S. D., Matross, D. M., Goulden, M. L., Wofsy, S. C. and co-authors. 2003. Carbon in amazon forests: unexpected seasonal fluxes and disturbance-induced losses. Science 302, 1554-1557.
   Google Scholar
• Schmid, H. P., Grimmond, C. S B., Cropley, F., Offerle, B. and Su, H. B. 2000. Measurements of CO2 and energy fluxes over a mixed hardwood forest in the mid-western United States. Agric. Forest MeteoroL 103, 357-374.
   Google Scholar
• Siqueira, M B., Katul, G. G., Sampson, D. A., Stoy, P. C., Juang, J.-Y. and co-authors. 2006. Multiscale model intercomparisons of CO2 and H20 exchange rates in a maturing southeastern US pine forest. Global Change Biol. 12, 1189-1207.
   Google Scholar
• Stockli, R., Lawrence, D. M., Niu, G. Y., Oleson, K. W., Thornton, P. E. and co-authors. 2008. Use of FLUXNET in the community land model development. J. Geophys. Res.-Biogeosci. 113, G01025, doi:10.1029/2007JG000562.
   Google Scholar
• Tanja, S., Berninger, E, Vesala, T., Marlcicanen, T., Hari, P. and co-authors. 2003. Air temperature triggers the recovery of evergreen boreal forest photosynthesis in spring. Global Change Biol. 9, 1410-1426.
   Google Scholar
• Thompson, S. L., Govindasamy, B., Mirin, A., Caldeira, K., Delire, C. and co-authors. 2004. Quantifying the effects of CO2-fertilized vegetation on future global climate and carbon dynamics. Geophys. Res. Lett. 31, L23211, doi:10.1029/2004GL021239.
   Google Scholar
• Thornton, P. E., Law, B. E., Gholz, H. L., Clark, K. L., Falge, E. and co-authors. 2002. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needle-leaf forests. Agric. Forest MeteoroL 113, 185-222.
   Google Scholar
• Van Dijk, A. and Dolman, A. J. 2004. Estimates of CO2 uptake and re-lease among European forests based on eddy covariance data. Global Change Biol. 10, 1445–1459.
   Web of Science ®Google Scholar
• Wang, W., Ichii, K., Hashimoto, H., Michaelis, A. R., Thornton, P. E. and co-authors. 2009. A hierarchical analysis of terrestrial ecosystem model Biome-BGC: equilibrium analysis and model calibration. EcoL Modell. 220, 2009–2023.
   Web of Science ®Google Scholar
• Weaver, A J., Eby, M., Wiebe, E. C., Bitz, C. M., Duffy, P. B. and co-authors. 2001. The UVic Earth System Climate Model: model description, climatology, and applications to past, present and future climates. Atmos.-Ocean 39, 361-428.
   Google Scholar
• Williams, M., Richardson, A. D., Reichstein, M., Stoy, P. C., Peylin, P. and co-authors. 2009. Improving land surface models with FLUXNET data. Biogeosiences 6, 1341-1359.
   Google Scholar
• Wofsy, S. C., Goulden, M. L., Munger, J. W., Fan, S. M., Bakwin, P. S. and co-authors. 1993. Net exchange of CO2 in a midlatitude forest. Science 260, 1314-1317.
   Google Scholar
• Xiao, J. F., Zhuang, Q. L., Baldocchi, D. D., Law, B. E., Richardson, A. D. and co-authors. 2008. Estimation of net ecosystem car-bon exchange for the conterminous United States by combining MODIS and AmeriFlux data. Agric. Forest MeteoroL 148, 1827–1847.
   Web of Science ®Google Scholar
• Yang, F. H., Ichii, K., White, M. A., Hashimoto, H., Michaelis, A. R. and co-authors. 2007. Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach. Remote Sens. Environ. 110, 109-122.
   Google Scholar
• Yoshikawa, C., Kawamiya, M., Kato, T., Yamanaka, Y. and Matsuno, T. 2008. Geographical distribution of the feedback between future climate change and the carbon cycle. J. Geophys. Res.-Biogeosci. 113, G03002, doi:10.1029/2007JG000570.
   Web of Science ®Google Scholar
• Zaehle, S. and Friend, A. D. 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 Biogeochem. Cycles 24, GB1005, doi:10.1029/2009GB003521.
   Google Scholar
• Zaehle, S., Sitch, S., Smith, B. and Hatterman, F. 2005. Ef-fects of parameter uncertainties on the modeling of terrestrial biosphere dynamics. Global Biogeochem. Cycles 19, GB3020, doi:10.1029/2004GB002395.
   Google Scholar
• Zeng, N., Qian, H. E, Munoz, E. and Iacono, R. 2004. How strong is carbon cycle-climate feedback under global warming? Geophys. Res. Lett. 31, L20203, doi:10.1029/2004GL020904.
   Web of Science ®Google Scholar
• Zicicfeld, K., Eby, M., Matthews, H. D. and Weaver, A. J. 2009. Setting cumulative emissions targets to reduce the risk of dangerous climate change. Proc. Natl. Acad. Sci. U.S.A. 106, 16129–16134.
   Web of Science ®Google Scholar