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Photosynthesis; Vegetation; Model; ISIMIP2a; Gross Primary Production
Abstract :
[en] Simulating vegetation photosynthetic productivity (or gross primary production, GPP) is a critical feature of the biome models used for impact assessments of climate change. We conducted a benchmarking of global GPP simulated by eight biome models participating in the second phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2a) with four meteorological forcing datasets (30 simulations), using independent GPP estimates and recent satellite data of solar-induced chlorophyll fluorescence as a proxy of GPP. The simulated global terrestrial GPP ranged from 98 to 141 Pg C yr −1 (1981–2000 mean); considerable inter-model and inter-data differences were found. Major features of spatial distribution and seasonal change of GPP were captured by each model, showing good agreement with the benchmarking data. All simulations showed incremental trends of annual GPP, seasonal-cycle amplitude, radiation-use efficiency, and water-use efficiency, mainly caused by the CO 2 fertilization effect. The incremental slopes were higher than those obtained by remote sensing studies, but comparable with those by recent atmospheric observation. Apparent differences were found in the relationship between GPP and incoming solar radiation, for which forcing data differed considerably. The simulated GPP trends co-varied with a vegetation structural parameter, leaf area index, at model-dependent strengths, implying the importance of constraining canopy properties. In terms of extreme events, GPP anomalies associated with a historical El Niño event and large volcanic eruption were not consistently simulated in the model experiments due to deficiencies in both forcing data and parameterized environmental responsiveness. Although the benchmarking demonstrated the overall advancement of contemporary biome models, further refinements are required, for example, for solar radiation data and vegetation canopy schemes.
Research center :
Sphères - SPHERES
Disciplines :
Earth sciences & physical geography
Author, co-author :
Ito, Akihiko
Nishina, Kazuya
Reyer, Christopher P. O.
François, Louis ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Henrot, Alexandra-Jane ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Munhoven, Guy ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Labo de physique atmosphérique et planétaire (LPAP)
Jacquemin, Ingrid ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Anav A et al 2015 Spatiooral patterns of terrestrial gross primary production: a review Rev. Geophys. 53 1-34
Arora V K et al 2013 Carbon-concentration and carbon-climate feedbacks in CMIP5 Earth system models J. Clim. 26 5289-314
Baldocchi D et al 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 2415-34
Baldocchi D, Sturtevant C and Fluxnet-contributors 2015 Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration? Agric. Forest Meteorol. 207 117-26
Ballantyne A et al 2017 Accelerating net terrestrial carbon uptake during the warming hiatus due to reduced respiration Nat. Clim. Change 7 148-52
Beer C et al 2010 Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate Science 329 834-8
Betts R A, Jones C D, Knight J R, Keeling R F and Kennedy J J 2016 El Niño and a record CO2 rise Nat. Clim. Change 6 806-10
Bonan G B, Williams M, Fisher R A and Oleson K W 2014 Modeling stomatal conductance in the Earth system: linking leaf water-use efficiency and water transport along the soil-plant-atmosphere continuum Geosci. Model Dev. 7 2193-222
Bondeau A et al 2007 Modelling the role of agriculture for the 20th century global terrestrial carbon balamce Glob. Change Biol. 13 679-706
Caldeira K, Bala G and Cao L 2013 The science of geoengineering Ann. Rev. Earth Planet. Sci. 41 231-56
Campbell J E et al 2017 Large historical growth in global terrestrial gross primary production Nature 544 84-7
Chang J et al 2017 Benchmarking carbon fluxes of the ISIMIP2a biome models Environ. Res. Lett. 12 045002
Clark D B et al 2011 The joint UK land environment simulator (JULES), model description - Part 2: carbon fluxes and vegetation dynamics Geosci Model Dev. 4 701-22
Cox P M, Betts R A, Jones G D, Spall S A and Totterdell I J 2000 Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model Nature 408 184-7
Dlugokencky E and Tans P 2014 NOAA/ESRL Global CO2 data
Dury M, Hambuckers A, Warnant P, Henrot A, Favre E, Ouberdous M and François L 2010 Responses of Europenan forest ecosystems to 21st century climate changes in interannual variability and fire intensity Forest Biogeosci. Forestry 4 82-99
Frankenberg C et al 2011 New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary production Geophys. Res. Lett. 38 L17706
Friedlingstein P et al 2006 Climate-carbon cycle feedback analysis: results from the C4MIP model intercomparison J. Clim. 19 3337-53
Friend A D et al 2014 Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO2 Proc. Nat. Acad. Sci. USA 111 3280-5
Frölicher T L, Joos F, Raible C C and Sarmiento J L 2013 Atmospheric CO2 response to volcanic eruptions: the role of ENSO, season, and variability Glob. Biogeochem. Cycles 27 239-51
Genty B, Briantais J-M and Baker N R 1989 The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence Biochim. Biophys. Acta 990 87-92
Graven H D et al 2013 Enhanced seasonal exchange of CO2 by northern ecosystems since 1960 Science 341 1085-9
Gu L et al 2002 Advantages of diffuse radiation for terrestrial ecosystem productivity J. Geophys. Res. 107 4050
Guanter L et al 2014 Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence Proc. Nat. Acad. Sci. USA 111 E1327-33
Ito A et al 2017 Solar radiation management and ecosystem functional responses Clim. Change 142 53-66
Ito A and Inatomi M 2012 Water-use efficiency of the terrestrial biosphere: a model analysis on interactions between the global carbon and water cycles J. Hydrometeorol. 13 681-94
Ito A et al 2016 Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models Tellus B 68 28968
Joiner J et al 2013 Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2 Atmos. Meas. Technol. 6 2803-23
Jung M, Reichstein M and Bondeau A 2009 Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model Biogeosciences 6 2001-13
Jung M et al 2017 Compensatory water effects link yearly global land CO2 sink changes to temperature Nature 541 516-20
Kanniah K D, Beringer J and Hutley L 2013 Exploring the link between clouds, radiation, and canopy productivity of tropical savannas Agric. Forest Meteorol. 182/183 304-13
Keeling C D, Whorf T P, Wahlen M and van der Plicht J 1995 Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980 Nature 375 666-70
Keenan T F et al 2013 Increase in forest water-use efficiency as atmospheric carbon dioxide concentration rise Nature 499 324-7
Keenan T F et al 2016 Recent pause in the growth rate of atmospheric CO2 due to enhanced terrestrial carbon uptake Nat. Commun. 7 13428
Kelley D I et al 2013 A comprehencive benchmarking system for evaluating global vegetation models Biogeosciences 10 3313-40
Kiehl J T and Trenberth K E 1997 Earth's annual global mean energy budget Bull. Am. Meteorol. Soc. 78 197-208
Koffi E N, Rayner P J, Scholze M, Chevallier F and Kaminski T 2013 Quantifying the constraint of biospheric process parameters by CO2 concentration and flux measurement networks through a carbon cycle data assimilation system Atmos. Chem. Phys. 13 10555-72
Kolby Smith W et al 2015 Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization Nat. Clim. Change 6 306-10
Krinner G et al 2005 A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system Glob. Biogeochem. Cycles 19 GB1015
Kuppel S et al 2014 Model-data fusion across ecosystems: from multisite optimizations to global simulations Geosci. Model Dev. 7 2581-97
Le Quéré C et al 2015 Global carbon budget 2015 Earth Sys. Sci. Data 7 349-396
Lucht W et al 2002 Climatic control of the high-latitude vegetation greening trend and Pinatubo effect Science 296 1687-9
Luo Y et al 2012 A framework for benchmarking land models Biogeosciences 9 3857-74
Ma J, Yan X, Dong W and Chou J 2015 Gross primary production of global forest ecosystems has been overestimated Sci. Rep. 5 21378
McCormick M P, Thomason L W and Trepte C R 1995 Atmospheric effects of the Mt Pinatubo eruption Nature 373 399-404
McCree K J 1972 Test of current definitions of photosynthetically active radiation against leaf photosynthesis data Agric. Meteorol. 10 443-53
Medlyn B E et al 2001 Stomatal conductance of forest species after long-term exposure to elevated CO2 concentration: a synthesis New Phytol. 149 247-64
Meinshausen M et al 2011 The RCP greenhouse gas concentrations and their extensions from 1765 to 2300 Clim. Change 109 213-241
Mercado L M et al 2009 Impact of changes in diffuse radiation on the global land carbon sink Nature 458 1014-7
Nishina K et al 2015 Decomposing uncertainties in the future terrestrial carbon budget associated with emission scenario, climate projection, and ecosystem simulation using the ISI-MIP result Earth Sys. Dyn. 6 435-45
Porcar-Castell A, Tyystjärvi E, Atherton J, van der Tol C, Flexas J, Pfündel E E, Moreno J, Frankenberg C and Berry J A 2014 Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges J. Exp. Bot. 65 4065-95
R Core Team 2017 R Foundation for Statistical Computing (Vienna: Austria) R: A language and environment for statistical computing
Reichstein M et al 2005 On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm Glob. Change Biol. 11 1424-39
Roderick M L, Farquhar G D, Berry S L and Noble I R 2001 On the direct effect of clouds and atmospheric particles on the productivity and structure of vegetation Oecologia 129 21-30
Rosenzweig C et al 2017 Assessing inter-sectoral climate change risks: the role of ISIMIP Environ. Res. Lett. 12 010301
Ruimy A, Kergoat L, Bondeau A, Potsdam N P P and Model Intercomparison participants 1999 Comparing global NPP models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light-use efficiency Glob. Change Biol. 5 56-64
Ryu Y et al 2011 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 Glob. Biogeochem. Cycles 25 GB4017
Schimel D, Stephens B B and Fisher J B 2015 Effect of increasing CO2 on the terrestrial carbon cycle Proc. Nat. Acad. Sci. USA 112 436-41
Schwalm C et al 2015 Toward 'optimal' integration of terrestrial biosphere models Geophys. Res. Lett. 42 1-11
Sheffield J, Goteti G and Wood E F 2006 Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling J. Clim. 19 3088-111
Sitch S et al 2015 Recent trends and drivers of regional sources and sinks of carbon dioxide Biogeosciences 12 653-679
Smith B, Prentice I C and Sykes M T 2001 Representation of vegetation dynamics in the modeling of terrestrial ecosystems: comparing two contrasting approaches within European climate space Glob. Ecol. Biogeogr. 10 621-37
Tian H et al 2011 China's terrestrial carbon balance: Contributions from multiple global change factors Glob. Biogeochem. Cycles 25 GB1007
Weedon G P et al 2014 The WFDEI meteorological forcing data set: watch forcing data methodology applied to era-interim reanalysis data Water Resour. Res. 50 7505-14
Wehr R et al 2016 Seasonality of temperate forest photosynthesis and daytime respiration Nature 534 680-3
Welp L R et al 2011 Interannual variability in the oxygen isotopes of atmospheric CO2 driven by El Niño Nature 477 579-82
Wenzel S, Cox P M, Eyring V and Friedlingstein P 2016 Projected land photosynthesis constrained by changes in the seasonal cycle of atmospheric CO2 Nature 538 499-501
Whittaker R H and Likens G E 1973 Primary production: the biosphere and man Human Ecol. 1 357-69
Wild M 2012 Enlightening global dimming and brighening Bull. Am. Meteorol. Soc. 93 27-37
Xia J et al 2015 Joint control of terrestrial gross primary productivity by plant phenology and physiology Proc. Nat. Acad. Sci. USA 112 2788-93
Xue B-L, Guo Q, Otto A, Xiao J, Tao S and Li L 2015 Global patterns, trends, and drivers of water use efficiency from 2000 to 2013 Ecosphere 6 174
Yan H et al 2015 Improved global simulations of gross primary product based on a new definition of water stress and a separate treatment of C3 and C4 plants Ecol. Model. 297 42-59
Yebra M, van Dijk A I J M, Leuning R and Guerschman J P 2015 Global vegetation gross primary production estimation using satellite-derived light-use efficiency and canopy conductance Remote Sens. Environ. 163 206-16
Zaehle S et al 2014 Evaluation of 11 terrestrial carbon-nitrogen cycle models against observations from two temperate free-air CO2 enrichment studies New Phytol. 202 803-22
Zeng N, Mariotti A and Wetzel P 2005 Terrestrial mechanisms of interannual CO2 variability Glob. Biogeochem. Cycles 19 GB1016
Zhang Y et al 2016a Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data Agric. Forest Meteorol. 223 116-31
Zhang Y et al 2016b Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America Remote Sens. Environ. 183 154-69
Zhang Y et al 2016c Precipitation and carbon-water coupling jointly control the interannual variability of global land gross primary production Sci. Rep. 6 39748
Zhao F and Zeng N 2014 Continued increase in atmospheric CO2 seasonal amplitude in the 21st century projectes by the CMIP5 Earth system models Earth Sys. Dyn. 5 423-39
Zhao M, Heinsch F A, Nemani R and Running S W 2005 Improvements of the MODIS terrestrial gross and net primary production global data set Remote Sens. Environ. 95 164-76
Zhu Z et al 2016 Greening of the Earth and its drivers Nat. Clim. Change 6 791-5
