From site-level to global simulation: Reconciling carbon, water and energy fluxes over different spatial scales using a process-based ecophysiological land-surface model
暂无分享,去创建一个
[1] G. Pan,et al. Modeling interannual variability of global soil respiration from climate and soil properties , 2010 .
[2] J. William Munger,et al. Measurements of carbon sequestration by long‐term eddy covariance: methods and a critical evaluation of accuracy , 1996 .
[3] R. J. Olson,et al. NET PRIMARY PRODUCTION AND CARBON ALLOCATION PATTERNS OF BOREAL FOREST ECOSYSTEMS , 2001 .
[4] W. Oechel,et al. Energy balance closure at FLUXNET sites , 2002 .
[5] Damian Barrett,et al. Conversion of canopy intercepted radiation to photosynthate: review of modelling approaches for regional scales. , 2003, Functional plant biology : FPB.
[6] K. K. Goldewijk. Estimating global land use change over the past 300 years: The HYDE Database , 2001 .
[7] A. Arneth,et al. Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations , 2011 .
[8] Philippe Ciais,et al. Weak Northern and Strong Tropical Land Carbon Uptake from Vertical Profiles of Atmospheric CO2 , 2007, Science.
[9] H. A. Mooney,et al. Maximum rooting depth of vegetation types at the global scale , 1996, Oecologia.
[10] F. Woodward,et al. Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate , 2010, Science.
[11] Taotao Qian,et al. Changes in Continental Freshwater Discharge from 1948 to 2004 , 2009 .
[12] Michael G. Ryan,et al. Seasonal and annual respiration of a ponderosa pine ecosystem , 1999 .
[13] Darrel L. Williams. A comparison of spectral reflectance properties at the needle, branch, and canopy level for selected Conifer species , 1991 .
[14] Jeffrey Q. Chambers,et al. TROPICAL FORESTS : AN EVALUATION AND SYNTHESIS OF EXISTING FIELD DATA , 2022 .
[15] S. Seneviratne,et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply , 2010, Nature.
[16] W. Oechel,et al. A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data , 2010, Remote Sensing of Environment.
[17] P. Alton,et al. A comparative study of a multilayer and a productivity (light-use) efficiency land-surface model over different temporal scales , 2010 .
[18] N. C. Strugnell,et al. First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .
[19] Kevin E. Trenberth,et al. Estimates of Freshwater Discharge from Continents: Latitudinal and Seasonal Variations , 2002 .
[20] P. Ciais,et al. Multiple constraints on regional CO2 flux variations over land and oceans , 2005 .
[21] E. Davidson,et al. The role of deep roots in the hydrological and carbon cycles of Amazonian forests and pastures , 1994, Nature.
[22] Scott D. Miller,et al. Seasonal drought stress in the Amazon: Reconciling models and observations , 2008 .
[23] G. Collatz,et al. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer , 1991 .
[24] William H. Press,et al. The Art of Scientific Computing Second Edition , 1998 .
[25] D. Baldocchi,et al. Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites , 2008 .
[26] Stephen Sitch,et al. Effects of parameter uncertainties on the modeling of terrestrial biosphere dynamics , 2005 .
[27] R. B. Jackson,et al. A global analysis of root distributions for terrestrial biomes , 1996, Oecologia.
[28] D. Randall,et al. A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation , 1996 .
[29] K. Davis,et al. Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data , 2010 .
[30] Markus Reichstein,et al. Biosphere-atmosphere exchange of CO2 in relation to climate: a cross-biome analysis across multiple time scales , 2009 .
[31] Markus Reichstein,et al. Advances in upscaling of eddy covariance measurements of carbon and water fluxes , 2012 .
[32] W. Oechel,et al. Phase and amplitude of ecosystem carbon release and uptake potentials as derived from FLUXNET measurements , 2002 .
[33] E. Wood,et al. Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling , 2006 .
[34] R. Dickinson,et al. Analysis of leaf area index products from combination of MODIS Terra and Aqua data , 2006 .
[35] Sean C. Thomas,et al. The worldwide leaf economics spectrum , 2004, Nature.
[36] A. Bondeau,et al. Comparing global models of terrestrial net primary productivity (NPP): overview and key results , 1999 .
[37] William W. Hargrove,et al. New analysis reveals representativeness of the AmeriFlux network , 2003 .
[38] S. Seneviratne,et al. Global intercomparison of 12 land surface heat flux estimates , 2011 .
[39] M. Keller,et al. Carbon in Amazon Forests: Unexpected Seasonal Fluxes and Disturbance-Induced Losses , 2003, Science.
[40] J. Tenhunen,et al. Inverse modeling of seasonal drought effects on canopy CO2/H2O exchange in three Mediterranean ecosystems , 2003 .
[41] R. Nemani,et al. Refinement of rooting depths using satellite-based evapotranspiration seasonality for ecosystem modeling in California , 2009 .
[42] T. Foken. The energy balance closure problem: an overview. , 2008, Ecological applications : a publication of the Ecological Society of America.
[43] W. Oechel,et al. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation , 2002 .
[44] R. Betts,et al. The impact of new land surface physics on the GCM simulation of climate and climate sensitivity , 1999 .
[45] Wolfgang Knorr,et al. Uncertainties in global terrestrial biosphere modeling: 1. A comprehensive sensitivity analysis with a new photosynthesis and energy balance scheme , 2001 .
[46] Markus Reichstein,et al. Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data , 2011 .
[47] William H. Press,et al. Numerical recipes in C. The art of scientific computing , 1987 .
[48] Rasmus Fensholt,et al. MODIS leaf area index products: from validation to algorithm improvement , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[49] Robert Clement,et al. On the validation of models of forest CO2 exchange using eddy covariance data: some perils and pitfalls. , 2005, Tree physiology.
[50] J. Monteith. Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.
[51] Stephen Sitch,et al. FLUXNET and modelling the global carbon cycle , 2007 .
[52] W. Lucht,et al. Robustness of terrestrial carbon and water cycle simulations against variations in spatial resolution , 2007 .
[53] A. J. Dolman,et al. The Pilot Phase of the Global Soil Wetness Project , 1999 .
[54] R. DeFries,et al. Global distribution of C3 and C4 vegetation: Carbon cycle implications , 2003 .
[55] Evan H. DeLucia,et al. Forest carbon use efficiency: is respiration a constant fraction of gross primary production? , 2007 .
[56] R. Houghton. Balancing the Global Carbon Budget , 2007 .
[57] M. Hansen,et al. A comparison of the IGBP DISCover and University of Maryland 1 km global land cover products , 2000 .
[58] Maosheng Zhao,et al. Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .
[59] P. Ciais,et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.
[60] K. Hibbard,et al. A Global Terrestrial Monitoring Network Integrating Tower Fluxes, Flask Sampling, Ecosystem Modeling and EOS Satellite Data , 1999 .
[61] Baozhang Chen,et al. Modeling and Scaling Coupled Energy, Water, and Carbon Fluxes Based on Remote Sensing: An Application to Canada's Landmass , 2007 .
[62] Benjamin Smith,et al. Implementing plant hydraulic architecture within the LPJ Dynamic Global Vegetation Model , 2006 .
[63] Hideki Kobayashi,et al. Integration of MODIS land and atmosphere products with a coupled‐process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales , 2011 .
[64] I. E. Woodrow,et al. A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions , 1987 .
[65] E. Davidson,et al. Estimating parameters of a forest ecosystem C model with measurements of stocks and fluxes as joint constraints , 2010, Oecologia.
[66] R. Whittaker. Communities and Ecosystems , 1975 .
[67] W. Knorr,et al. Quantifying photosynthetic capacity and its relationship to leaf nitrogen content for global‐scale terrestrial biosphere models , 2009 .
[68] M. G. Ryan,et al. Effects of Climate Change on Plant Respiration. , 1991, Ecological applications : a publication of the Ecological Society of America.
[69] Peter R. J. North,et al. Improved global simulations of gross primary product based on a separate and explicit treatment of diffuse and direct sunlight , 2007 .
[70] R. Clark,et al. The U. S. Geological Survey, Digital Spectral Library: Version 1 (0.2 to 3.0um) , 1993 .
[71] T. Oki,et al. Design of Total Runoff Integrating Pathways (TRIP)—A Global River Channel Network , 1998 .