Access the full text.
Sign up today, get DeepDyve free for 14 days.
T. Bracegirdle, D. Stephenson (2012)
On the Robustness of Emergent Constraints Used in Multimodel Climate Change Projections of Arctic WarmingJournal of Climate, 26
Lu Zhang, N. Potter, K. Hickel, Yongqiang Zhang, Q. Shao (2008)
Water balance modeling over variable time scales based on the Budyko framework – Model development and testingJournal of Hydrology, 360
M. Roderick, F. Sun, Wee Lim, G. Farquhar (2013)
A general framework for understanding the response of the water cycle to global warming over land and oceanHydrology and Earth System Sciences, 18
Yulong Zhang, C. Song, G. Sun, L. Band, A. Noormets, Quanfa Zhang (2015)
Understanding moisture stress on light use efficiency across terrestrial ecosystems based on global flux and remote‐sensing dataJournal of Geophysical Research: Biogeosciences, 120
M. Reichstein, E. Falge, D. Baldocchi, D. Papale, M. Aubinet, P. Berbigier, C. Bernhofer, N. Buchmann, T. Gilmanov, A. Granier, T. Grünwald, K. Havránková, H. Ilvesniemi, D. Janous, A. Knohl, T. Laurila, A. Lohila, D. Loustau, G. Matteucci, T. Meyers, F. Miglietta, J. Ourcival, J. Pumpanen, S. Rambal, E. Rotenberg, M. Sanz, J. Tenhunen, G. Seufert, F. Vaccari, T. Vesala, D. Yakir, R. Valentini (2005)
On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithmGlobal Change Biology, 11
Dan Li, M. Pan, Z. Cong, Lu Zhang, E. Wood (2013)
Vegetation control on water and energy balance within the Budyko frameworkWater Resources Research, 49
Adolfo Rosati, Theodore DeJong (2003)
Estimating photosynthetic radiation use efficiency using incident light and photosynthesis of individual leaves.Annals of botany, 91 7
C. Field, R. Jackson, H. Mooney (1995)
Stomatal responses to increased CO2: implications from the plant to the global scalePlant Cell and Environment, 18
(2013)
Detection of global runo ff changes : results from observations and CMIP 5 experiments
(2009)
A general model for
Yang Gao, Xianjin Zhu, Guirui Yu, N. He, Qiufeng Wang, Jing Tian (2014)
Water use efficiency threshold for terrestrial ecosystem carbon sequestration in China under afforestationAgricultural and Forest Meteorology, 195
B. Mueller, M. Hirschi, C. Jiménez, P. Ciais, P. Dirmeyer, A. Dolman, J. Fisher, M. Jung, F. Ludwig, F. Maignan, D. Miralles, M. Mccabe, M. Reichstein, J. Sheffield, Kaicun Wang, E. Wood, Yongqiang Zhang, S. Seneviratne (2013)
Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesisHydrology and Earth System Sciences, 17
R. Seager, M. Ting, Cuihua Li, N. Naik, B. Cook, J. Nakamura, Haibo Liu (2013)
Projections of Declining Surface-Water Availability for the Southwestern United StatesNature Climate Change, 3
T. Huntington (2008)
CO2‐induced suppression of transpiration cannot explain increasing runoffHydrological Processes, 22
M. Jung, M. Reichstein, H. Margolis, A. Cescatti, A. Richardson, M. Arain, A. Arneth, C. Bernhofer, D. Bonal, Jiquan Chen, D. Gianelle, N. Gobron, G. Kiely, W. Kutsch, G. Lasslop, B. Law, A. Lindroth, L. Merbold, Leonardo Montagnani, E. Moors, D. Papale, M. Sottocornola, F. Vaccari, C. Williams (2011)
Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observationsJournal of Geophysical Research, 116
Xingjie Lu, Ying‐ping Wang, T. Ziehn, Yongjiu Dai (2013)
An efficient method for global parameter sensitivity analysis and its applications to the Australian community land surface model (CABLE)Agricultural and Forest Meteorology, 182
A. Oliphant (2012)
Terrestrial Ecosystem-Atmosphere Exchange of CO2, Water and Energy from FLUXNET; Review and Meta-Analysis of a Global in-situ ObservatoryGeography Compass, 6
Yue Zhao, P. Ciais, P. Peylin, N. Viovy, B. Longdoz, J. Bonnefond, S. Rambal, K. Klumpp, A. Olioso, P. Cellier, F. Maignan, T. Eglin, J. Calvet (2011)
How errors on meteorological variables impact simulated ecosystem fluxes: a case study for six French sitesBiogeosciences, 9
A. Ruimy, L. Kergoat, A. Bondeau, ThE. Intercomparison (1999)
Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light‐use efficiencyGlobal Change Biology, 5
Yanlian Zhou, Xiaocui Wu, W. Ju, Jing Chen, Shaoqiang Wang, Huimin Wang, W. Yuan, T. Black, R. Jassal, A. Ibrom, Shijie Han, Junhua Yan, H. Margolis, O. Roupsard, Ying-nian Li, F. Zhao, G. Kiely, G. Starr, M. Pavelka, Leonardo Montagnani, G. Wohlfahrt, P. D’Odorico, D. Cook, M. Arain, D. Bonal, J. Beringer, P. Blanken, B. Loubet, M. Leclerc, G. Matteucci, Z. Nagy, J. Olejnik, U. KyawThaPaw, A. Varlagin (2016)
Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sitesJournal of Geophysical Research: Biogeosciences, 121
R. Alkama, L. Marchand, A. Ribes, B. Decharme (2013)
Detection of global runoff changes: results from observations and CMIP5 experimentsHydrology and Earth System Sciences, 17
K. Todd-Brown, J. Randerson, W. Post, F. Hoffman, C. Tarnócai, E. Schuur, S. Allison (2012)
Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observationsBiogeosciences, 10
Frank Veroustraete, H. Sabbe, H. Eerens (2002)
Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux dataRemote Sensing of Environment, 83
W. Marlatt, M. Budyko, David Miller (1975)
Climate and lifeJournal of Range Management, 28
Longhui Li, Ying‐ping Wang, Qiang Yu, B. Pak, D. Eamus, Junhua Yan, E. Gorsel, I. Baker (2012)
Improving the responses of the Australian community land surface model (CABLE) to seasonal droughtJournal of Geophysical Research, 117
B. Medlyn, R. Duursma, D. Eamus, D. Ellsworth, I. Prentice, C. Barton, K. Crous, P. Angelis, Michael Freeman, L. Wingate (2011)
Reconciling the optimal and empirical approaches to modelling stomatal conductanceGlobal Change Biology, 17
Ying Wang, D. Baldocchi, R. Leuning, E. Falge, T. Vesala (2007)
Estimating parameters in a land‐surface model by applying nonlinear inversion to eddy covariance flux measurements from eight FLUXNET sitesGlobal Change Biology, 13
A. Haxeltine, I. Prentice (1996)
A general model for the light-use efficiency of primary productionFunctional Ecology, 10
G. Ponce-Campos, M. Moran, A. Huete, Yongguang Zhang, Cynthia Bresloff, T. Huxman, D. Eamus, David Bosch, Anthony Buda, Stacey Gunter, T. Scalley, Stanley Kitchen, M. McClaran, W. McNab, D. Montoya, Jack Morgan, D. Peters, E. Sadler, M. Seyfried, P. Starks (2013)
Ecosystem resilience despite large-scale altered hydroclimatic conditionsNature, 494
D. Papale, M. Reichstein, M. Aubinet, E. Canfora, C. Bernhofer, W. Kutsch, B. Longdoz, S. Rambal, R. Valentini, T. Vesala, D. Yakir (2006)
Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimationBiogeosciences, 3
J. Monteith (1977)
Climate and the efficiency of crop production in BritainPhilosophical Transactions of the Royal Society B, 281
C. Beer, P. Ciais, M. Reichstein, D. Baldocchi, B. Law, D. Papale, J. Soussana, C. Ammann, N. Buchmann, D. Frank, D. Gianelle, I. Janssens, A. Knohl, B. Köstner, E. Moors, O. Roupsard, H. Verbeeck, T. Vesala, C. Williams, G. Wohlfahrt (2009)
Temporal and among‐site variability of inherent water use efficiency at the ecosystem levelGlobal Biogeochemical Cycles, 23
I. Harris, P. Jones, T. Osborn, D. Lister (2014)
Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 DatasetInternational Journal of Climatology, 34
H. Polley, R. Phillips, A. Frank, J. Bradford, P. Sims, J. Morgan, J. Kiniry (2010)
Variability in Light-Use Efficiency for Gross Primary Productivity on Great Plains GrasslandsEcosystems, 14
C. Williams, M. Reichstein, N. Buchmann, D. Baldocchi, C. Beer, C. Schwalm, G. Wohlfahrt, N. Hasler, C. Bernhofer, T. Foken, D. Papale, S. Schymanski, K. Schaefer (2012)
Climate and vegetation controls on the surface water balance: Synthesis of evapotranspiration measured across a global network of flux towersWater Resources Research, 48
S. Dekker, M. Groenendijk, B. Booth, C. Huntingford, P. Cox (2016)
Spatial and temporal variations in plant water-use efficiency inferred from tree-ring, eddy covariance and atmospheric observationsEarth System Dynamics Discussions, 7
R. Oliveira, T. Dawson, S. Burgess, D. Nepstad (2005)
Hydraulic redistribution in three Amazonian treesOecologia, 145
T. Huxman, Melinda Smith, Philip Fay, A. Knapp, M. Shaw, M. Loik, Stanley Smith, D. Tissue, John Zak, J. Weltzin, W. Pockman, Osvaldo Sala, Brent Haddad, J. Harte, George Koch, S. Schwinning, Eric Small, David Williams (2004)
Convergence across biomes to a common rain-use efficiencyNature, 429
D. Eamus (1991)
The interaction of rising CO2 and temperatures with water use efficiencyPlant Cell and Environment, 14
K. Taylor, R. Stouffer, G. Meehl (2012)
An overview of CMIP5 and the experiment designBulletin of the American Meteorological Society, 93
Hanbo Yang, Dawen Yang, Z. Lei, F. Sun (2008)
New analytical derivation of the mean annual water‐energy balance equationWater Resources Research, 44
D. Sims, Abdullah Rahman, V. Cordova, D. Baldocchi, L. Flanagan, A. Goldstein, D. Hollinger, L. Misson, R. Monson, H. Schmid, S. Wofsy, Liukang Xu (2005)
Midday values of gross CO2 flux and light use efficiency during satellite overpasses can be used to directly estimate eight-day mean fluxAgricultural and Forest Meteorology, 131
I. Prentice, Xu Liang, B. Medlyn, Ying‐ping Wang (2014)
Reliable, robust and realistic: the three R's of next-generation land-surface modellingAtmospheric Chemistry and Physics, 15
Baolin Xue, Q. Guo, A. Otto, J. Xiao, S. Tao, Le Li (2015)
Global patterns, trends, and drivers of water use efficiency from 2000 to 2013Ecosphere, 6
T. Keenan, D. Hollinger, G. Bohrer, D. Dragoni, J. Munger, H. Schmid, A. Richardson (2013)
Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations riseNature, 499
B. Medlyn (1998)
Physiological basis of the light use efficiency model.Tree physiology, 18 3
Sabrina Wenzel, P. Cox, V. Eyring, P. Friedlingstein (2014)
Emergent constraints on climate‐carbon cycle feedbacks in the CMIP5 Earth system modelsJournal of Geophysical Research: Biogeosciences, 119
A. Goerner, M. Reichstein, E. Tomelleri, N. Hanan, S. Rambal, D. Papale, D. Dragoni, C. Schmullius (2011)
Remote sensing of ecosystem light use efficiency with MODIS-based PRIBiogeosciences, 8
Liangxia Zhang, Decheng Zhou, Jiangwen Fan, Zhongmin Hu (2015)
Comparison of four light use efficiency models for estimating terrestrial gross primary productionEcological Modelling, 300
J. Monteith (1972)
SOLAR RADIATION AND PRODUCTIVITY IN TROPICAL ECOSYSTEMSJournal of Applied Ecology, 9
S. Mystakidis, E. Davin, N. Gruber, S. Seneviratne (2016)
Constraining future terrestrial carbon cycle projections using observation‐based water and carbon flux estimatesGlobal Change Biology, 22
Dawen Yang, F. Sun, Zhiyu Liu, Z. Cong, G. Ni, Z. Lei (2007)
Analyzing spatial and temporal variability of annual water‐energy balance in nonhumid regions of China using the Budyko hypothesisWater Resources Research, 43
P. Shao, X. Zeng, K. Sakaguchi, R. Monson, X. Zeng (2013)
Terrestrial Carbon Cycle: Climate Relations in Eight CMIP5 Earth System ModelsJournal of Climate, 26
N. Coops, R. Waring, B. Law (2005)
Assessing the past and future distribution and productivity of ponderosa pine in the Pacific Northwest using a process model, 3-PGEcological Modelling, 183
D. Turner, S. Urbanski, D. Bremer, S. Wofsy, T. Meyers, S. Gower, M. Gregory (2003)
A cross‐biome comparison of daily light use efficiency for gross primary productionGlobal Change Biology, 9
(2012)
andM. Inatomi, 2012:Water-use efficiency of the terrestrial
P. Cox, D. Pearson, B. Booth, P. Friedlingstein, C. Huntingford, C. Jones, C. Luke (2013)
Sensitivity of tropical carbon to climate change constrained by carbon dioxide variabilityNature, 494
S. Wong, I. Cowan, G. Farquhar (1979)
Stomatal conductance correlates with photosynthetic capacityNature, 282
A. Ito, M. Inatomi (2012)
Water-Use Efficiency of the Terrestrial Biosphere: A Model Analysis Focusing on Interactions between the Global Carbon and Water CyclesJournal of Hydrometeorology, 13
A. Mäkelä, M. Pulkkinen, P. Kolari, F. Lagergren, P. Berbigier, A. Lindroth, D. Loustau, E. Nikinmaa, T. Vesala, P. Hari (2007)
Developing an empirical model of stand GPP with the LUE approach: analysis of eddy covariance data at five contrasting conifer sites in EuropeGlobal Change Biology, 14
Lei Cheng, Lu Zhang, Ying‐ping Wang, J. Canadell, F. Chiew, J. Beringer, Longhui Li, D. Miralles, S. Piao, Yongqiang Zhang (2017)
Recent increases in terrestrial carbon uptake at little cost to the water cycleNature Communications, 8
A. Anav, P. Friedlingstein, C. Beer, P. Ciais, A. Harper, C. Jones, Guillermo Murray-Tortarolo, D. Papale, N. Parazoo, P. Peylin, S. Piao, S. Sitch, N. Viovy, A. Wiltshire, Maosheng Zhao (2015)
Spatiotemporal patterns of terrestrial gross primary production: A reviewReviews of Geophysics, 53
W. Yuan, Shuguang Liu, Guangsheng Zhou, Guoyi Zhou, L. Tieszen, D. Baldocchi, C. Bernhofer, H. Gholz, A. Goldstein, M. Goulden, D. Hollinger, Yueming Hu, B. Law, P. Stoy, T. Vesala, S. Wofsy (2007)
Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomesAgricultural and Forest Meteorology, 143
D. Miralles, T. Holmes, R. Jeu, J. Gash, A. Meesters, A. Dolman (2010)
Global land-surface evaporation estimated from satellite-based observationsHydrology and Earth System Sciences, 15
Ian Baker, L. Prihodko, A. Denning, Michel Goulden, S. Miller, H. Rocha (2008)
Seasonal drought stress in the Amazon: Reconciling models and observationsJournal of Geophysical Research, 113
B. Medlyn, S. Zaehle, M. Kauwe, A. Walker, M. Dietze, P. Hanson, T. Hickler, Atul Jain, Yiqi Luo, W. Parton, I. Prentice, P. Thornton, Shusen Wang, Ying‐ping Wang, Ensheng Weng, C. Iversen, H. McCarthy, J. Warren, R. Oren, R. Norby (2015)
Using ecosystem experiments to improve vegetation modelsNature Climate Change, 5
Ying-Ping Wang, Xingjie Lu, Ian Wright, Yongjiu Dai, Peter Rayner, P. Reich (2012)
Correlations among leaf traits provide a significant constraint on the estimate of global gross primary productionGeophysical Research Letters, 39
C. Potter, J. Randerson, C. Field, P. Matson, P. Vitousek, H. Mooney, S. Klooster (1993)
Terrestrial ecosystem production: A process model based on global satellite and surface dataGlobal Biogeochemical Cycles, 7
Xuguang Tang, Hengpeng Li, A. Desai, Z. Nagy, Juhua Luo, T. Kolb, A. Olioso, Xibao Xu, Li Yao, W. Kutsch, K. Pilegaard, B. Köstner, C. Ammann (2014)
How is water-use efficiency of terrestrial ecosystems distributed and changing on Earth?Scientific Reports, 4
Dawen Yang, F. Sun, Zhiyu Liu, Z. Cong, Z. Lei (2006)
Interpreting the complementary relationship in non‐humid environments based on the Budyko and Penman hypothesesGeophysical Research Letters, 33
Lu Zhang, W. Dawes, G. Walker (2001)
Response of mean annual evapotranspiration to vegetation changes at catchment scaleWater Resources Research, 37
AbstractWater and carbon fluxes simulated by 12 Earth system models (ESMs) that participated in phase 5 of the Coupled Model Intercomparison Project (CMIP5) over several recent decades were evaluated using three functional constraints that are derived from both model simulations, or four global datasets, and 736 site-year measurements. Three functional constraints are ecosystem water-use efficiency (WUE), light-use efficiency (LUE), and the partitioning of precipitation P into evapotranspiration (ET) and runoff based on the Budyko framework. Although values of these three constraints varied significantly with time scale and should be quite conservative if being averaged over multiple decades, the results showed that both WUE and LUE simulated by the ensemble mean of 12 ESMs were generally lower than the site measurements. Simulations by the ESMs were generally consistent with the broad pattern of energy-controlled ET under wet conditions and soil water-controlled ET under dry conditions, as described by the Budyko framework. However, the value of the parameter in the Budyko framework ω, obtained from fitting the Budyko curve to the ensemble model simulation (1.74), was larger than the best-fit value of ω to the observed data (1.28). Globally, the ensemble mean of multiple models, although performing better than any individual model simulations, still underestimated the observed WUE and LUE, and overestimated the ratio of ET to P, as a result of overestimation in ET and underestimation in gross primary production (GPP). The results suggest that future model development should focus on improving the algorithms of the partitioning of precipitation into ecosystem ET and runoff, and the coupling of water and carbon cycles for different land-use types.
Journal of Climate – American Meteorological Society
Published: Apr 26, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.