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Title: Global vegetation biomass production efficiency constrained by models and observations

Abstract

Typically, plants use only a fraction of their photosynthetically derived carbon for biomass production (BP). The biomass production efficiency (BPE), defined as the ratio of BP to photosynthesis, and its variation across and within vegetation types is poorly understood, which hinders our capacity to accurately estimate carbon turnover times and carbon sinks. In this work, we introduce a new global estimation of BPE obtained by combining field measurements from 113 sites with 14 carbon cycle models. Our best estimate of global BPE is 0.41 ± 0.05, excluding cropland. The largest BPE is found in boreal forests (0.48 ± 0.06) and the lowest in tropical forests (0.40 ± 0.04). Carbon cycle models overestimate BPE, although models with carbon–nitrogen interactions tend to be more realistic. Using observation-based estimates of global photosynthesis, we quantify the global BP of non-cropland ecosystems of 41 ± 6 Pg C/year. This flux is less than net primary production as it does not contain carbon allocated to symbionts, used for exudates or volatile carbon compound emissions to the atmosphere. Our study reveals a positive bias of 24 ± 11% in the model-estimated BP (10 of 14 models). When correcting models for this bias while leaving modeled carbon turnovermore » times unchanged, we found that the global ecosystem carbon storage change during the last century is decreased by 67% (or 58 Pg C).« less

Authors:
 [1]; ORCiD logo [1]; ORCiD logo [2];  [1];  [1];  [3];  [4];  [5];  [6];  [3];  [7];  [8];  [9]; ORCiD logo [10];  [11];  [12];  [11];  [5];  [13];  [14] more »;  [15];  [16];  [12];  [17];  [18];  [19];  [20]; ORCiD logo [11];  [12];  [21]; ORCiD logo [13] « less
+ Show Author Affiliations
  1. Peking Univ., Beijing (China)
  2. Peking Univ., Beijing (China); Chinese Academy of Sciences (CAS), Beijing (China)
  3. Centre National de la Recherche Scientifique (CNRS), Paris (France). Laboratoire des Sciences du Climat et de l'Environnement
  4. McMaster Univ., Hamilton, ON (Canada)
  5. Carnegie Inst. of Science, Stanford, CA (United States)
  6. California Inst. of Technology (CalTech), La Canada Flintridge, CA (United States). Jet Propulsion Lab.
  7. Univ.of Maine, Orono, ME (United States)
  8. Northern Arizona Univ., Flagstaff, AZ (United States)
  9. National Inst. for Environmental Studies (NIMS), Tsukuba (Japan); Japan Agency for Marine-Earth Science and Technology, Yokohama (Japan)
  10. Univ. of Illinois, Urbana, IL (United States)
  11. Univ. of Antwerp, Wilrijk (Belgium)
  12. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.
  13. Univ. of Montreal, Quebec (Canada); Northwest A & F Univ., Yangling (China)
  14. Consejo Superior de Investigaciones Cientificas (CSIC), Barcelona (Spain). Centre de Recerca Ecològica i Aplicacions Forestals (CREAF)
  15. Montana State Univ., Bozeman, MT (United States)
  16. Chinese Academy of Sciences (CAS), Lanzhou (China); National Climate Center, Beijing (China)
  17. Univ. of Colorado, Boulder, CO (United States)
  18. Woods Hole Research Center, Falmouth, MA (United States); Northern Arizona Univ., Flagstaff, AZ (United States)
  19. Univ. of Montreal, Quebec (Canada)
  20. Auburn Univ., AL (United States)
  21. Univ. of Maryland, College Park, MD (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE; National Natural Science Foundation of China (NSFC); National Key Research and Development Program of China; European Research Council (ERC)
OSTI Identifier:
1566963
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Global Change Biology
Additional Journal Information:
Journal Volume: 26; Journal Issue: 3; Journal ID: ISSN 1354-1013
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; biomass production; BPE; carbon sink; emergent constraint; terrestrial biosphere model

Citation Formats

He, Yue, Peng, Shushi, Liu, Yongwen, Li, Xiangyi, Wang, Kai, Ciais, Philippe, Arain, M. Altaf, Fang, Yuanyuan, Fisher, Joshua B., Goll, Daniel, Hayes, Daniel, Huntzinger, Deborah N., Ito, Akihiko, Jain, Atul K., Janssens, Ivan A., Mao, Jiafu, Matteo, Campioli, Michalak, Anna M., Peng, Changhui, Peñuelas, Josep, Poulter, Benjamin, Qin, Dahe, Ricciuto, Daniel M., Schaefer, Kevin, Schwalm, Christopher R., Shi, Xiaoying, Tian, Hanqin, Vicca, Sara, Wei, Yaxing, Zeng, Ning, and Zhu, Qiuan. Global vegetation biomass production efficiency constrained by models and observations. United States: N. p., 2019. Web. doi:10.1111/gcb.14816.
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He, Yue, Peng, Shushi, Liu, Yongwen, Li, Xiangyi, Wang, Kai, Ciais, Philippe, Arain, M. Altaf, Fang, Yuanyuan, Fisher, Joshua B., Goll, Daniel, Hayes, Daniel, Huntzinger, Deborah N., Ito, Akihiko, Jain, Atul K., Janssens, Ivan A., Mao, Jiafu, Matteo, Campioli, Michalak, Anna M., Peng, Changhui, Peñuelas, Josep, Poulter, Benjamin, Qin, Dahe, Ricciuto, Daniel M., Schaefer, Kevin, Schwalm, Christopher R., Shi, Xiaoying, Tian, Hanqin, Vicca, Sara, Wei, Yaxing, Zeng, Ning, & Zhu, Qiuan. Global vegetation biomass production efficiency constrained by models and observations. United States. https://doi.org/10.1111/gcb.14816
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He, Yue, Peng, Shushi, Liu, Yongwen, Li, Xiangyi, Wang, Kai, Ciais, Philippe, Arain, M. Altaf, Fang, Yuanyuan, Fisher, Joshua B., Goll, Daniel, Hayes, Daniel, Huntzinger, Deborah N., Ito, Akihiko, Jain, Atul K., Janssens, Ivan A., Mao, Jiafu, Matteo, Campioli, Michalak, Anna M., Peng, Changhui, Peñuelas, Josep, Poulter, Benjamin, Qin, Dahe, Ricciuto, Daniel M., Schaefer, Kevin, Schwalm, Christopher R., Shi, Xiaoying, Tian, Hanqin, Vicca, Sara, Wei, Yaxing, Zeng, Ning, and Zhu, Qiuan. Fri . "Global vegetation biomass production efficiency constrained by models and observations". United States. https://doi.org/10.1111/gcb.14816. https://www.osti.gov/servlets/purl/1566963.
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@article{osti_1566963,
title = {Global vegetation biomass production efficiency constrained by models and observations},
author = {He, Yue and Peng, Shushi and Liu, Yongwen and Li, Xiangyi and Wang, Kai and Ciais, Philippe and Arain, M. Altaf and Fang, Yuanyuan and Fisher, Joshua B. and Goll, Daniel and Hayes, Daniel and Huntzinger, Deborah N. and Ito, Akihiko and Jain, Atul K. and Janssens, Ivan A. and Mao, Jiafu and Matteo, Campioli and Michalak, Anna M. and Peng, Changhui and Peñuelas, Josep and Poulter, Benjamin and Qin, Dahe and Ricciuto, Daniel M. and Schaefer, Kevin and Schwalm, Christopher R. and Shi, Xiaoying and Tian, Hanqin and Vicca, Sara and Wei, Yaxing and Zeng, Ning and Zhu, Qiuan},
abstractNote = {Typically, plants use only a fraction of their photosynthetically derived carbon for biomass production (BP). The biomass production efficiency (BPE), defined as the ratio of BP to photosynthesis, and its variation across and within vegetation types is poorly understood, which hinders our capacity to accurately estimate carbon turnover times and carbon sinks. In this work, we introduce a new global estimation of BPE obtained by combining field measurements from 113 sites with 14 carbon cycle models. Our best estimate of global BPE is 0.41 ± 0.05, excluding cropland. The largest BPE is found in boreal forests (0.48 ± 0.06) and the lowest in tropical forests (0.40 ± 0.04). Carbon cycle models overestimate BPE, although models with carbon–nitrogen interactions tend to be more realistic. Using observation-based estimates of global photosynthesis, we quantify the global BP of non-cropland ecosystems of 41 ± 6 Pg C/year. This flux is less than net primary production as it does not contain carbon allocated to symbionts, used for exudates or volatile carbon compound emissions to the atmosphere. Our study reveals a positive bias of 24 ± 11% in the model-estimated BP (10 of 14 models). When correcting models for this bias while leaving modeled carbon turnover times unchanged, we found that the global ecosystem carbon storage change during the last century is decreased by 67% (or 58 Pg C).},
doi = {10.1111/gcb.14816},
journal = {Global Change Biology},
number = 3,
volume = 26,
place = {United States},
year = {2019},
month = {9}
}
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https://doi.org/10.1111/gcb.14816
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Works referenced in this record:

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence
journal, March 2014

  • Guanter, L.; Zhang, Y.; Jung, M.
  • Proceedings of the National Academy of Sciences, Vol. 111, Issue 14
  • DOI: 10.1073/pnas.1320008111

Climate-driven global changes in carbon use efficiency: Global carbon use efficiency dynamics
journal, June 2013

  • Zhang, Yangjian; Yu, Guirui; Yang, Jian
  • Global Ecology and Biogeography, Vol. 23, Issue 2
  • DOI: 10.1111/geb.12086

Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data
journal, December 2002

Taking climate model evaluation to the next level
journal, January 2019

Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO 2
journal, December 2013

  • Friend, Andrew D.; Lucht, Wolfgang; Rademacher, Tim T.
  • Proceedings of the National Academy of Sciences, Vol. 111, Issue 9
  • DOI: 10.1073/pnas.1222477110

Biomass turnover time in terrestrial ecosystems halved by land use
journal, August 2016

  • Erb, Karl-Heinz; Fetzel, Tamara; Plutzar, Christoph
  • Nature Geoscience, Vol. 9, Issue 9
  • DOI: 10.1038/ngeo2782

Analysis of Factors Controlling Soil Organic Matter Levels in Great Plains Grasslands1
journal, January 1987

Net carbon dioxide losses of northern ecosystems in response to autumn warming
journal, January 2008

  • Piao, Shilong; Ciais, Philippe; Friedlingstein, Pierre
  • Nature, Vol. 451, Issue 7174
  • DOI: 10.1038/nature06444

Future biomass carbon sequestration capacity of Chinese forests
journal, September 2018

A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system: DVGM FOR COUPLED CLIMATE STUDIES
journal, February 2005

  • Krinner, G.; Viovy, Nicolas; de Noblet-Ducoudré, Nathalie
  • Global Biogeochemical Cycles, Vol. 19, Issue 1
  • DOI: 10.1029/2003GB002199

TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics
journal, July 2002

Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate
journal, July 2010

The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design
journal, January 2013

  • Huntzinger, D. N.; Schwalm, C.; Michalak, A. M.
  • Geoscientific Model Development, Vol. 6, Issue 6
  • DOI: 10.5194/gmd-6-2121-2013

Global response of terrestrial ecosystem structure and function to CO 2 and climate change: results from six dynamic global vegetation models
journal, April 2001

Nitrogen limitation on land and in the sea: How can it occur?
journal, January 1991

  • Vitousek, PeterM.; Howarth, RobertW.
  • Biogeochemistry, Vol. 13, Issue 2
  • DOI: 10.1007/BF00002772

Lower land-use emissions responsible for increased net land carbon sink during the slow warming period
journal, August 2018

Improvements of the MODIS terrestrial gross and net primary production global data set
journal, March 2005

  • Zhao, Maosheng; Heinsch, Faith Ann; Nemani, Ramakrishna R.
  • Remote Sensing of Environment, Vol. 95, Issue 2
  • DOI: 10.1016/j.rse.2004.12.011

Net primary production of forests: a constant fraction of gross primary production?
journal, February 1998

Nutrient availability as the key regulator of global forest carbon balance
journal, April 2014

  • Fernández-Martínez, M.; Vicca, S.; Janssens, I. A.
  • Nature Climate Change, Vol. 4, Issue 6
  • DOI: 10.1038/nclimate2177

Emergent constraints on projections of declining primary production in the tropical oceans
journal, April 2017

  • Kwiatkowski, Lester; Bopp, Laurent; Aumont, Olivier
  • Nature Climate Change, Vol. 7, Issue 5
  • DOI: 10.1038/nclimate3265

Modelling the Components of Plant Respiration: Representation and Realism
journal, January 2000

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas: NEW CLIMATE SURFACES FOR GLOBAL LAND AREAS
journal, May 2017

  • Fick, Stephen E.; Hijmans, Robert J.
  • International Journal of Climatology, Vol. 37, Issue 12
  • DOI: 10.1002/joc.5086

Field-experiment constraints on the enhancement of the terrestrial carbon sink by CO2 fertilization
journal, September 2019

A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning
journal, August 1997

Biomass production efficiency controlled by management in temperate and boreal ecosystems
journal, October 2015

  • Campioli, M.; Vicca, S.; Luyssaert, S.
  • Nature Geoscience, Vol. 8, Issue 11
  • DOI: 10.1038/ngeo2553

Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS)
journal, July 2009

  • Nemani, Ramakrishna; Hashimoto, Hirofumi; Votava, Petr
  • Remote Sensing of Environment, Vol. 113, Issue 7
  • DOI: 10.1016/j.rse.2008.06.017

A roadmap for improving the representation of photosynthesis in Earth system models
journal, November 2016

  • Rogers, Alistair; Medlyn, Belinda E.; Dukes, Jeffrey S.
  • New Phytologist, Vol. 213, Issue 1
  • DOI: 10.1111/nph.14283

Modelling methane emissions from natural wetlands by development and application of the TRIPLEX-GHG model
journal, January 2014

The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data
journal, January 2014

  • Wei, Y.; Liu, S.; Huntzinger, D. N.
  • Geoscientific Model Development, Vol. 7, Issue 6
  • DOI: 10.5194/gmd-7-2875-2014

Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO 2 trends
journal, April 2013

  • Piao, Shilong; Sitch, Stephen; Ciais, Philippe
  • Global Change Biology, Vol. 19, Issue 7
  • DOI: 10.1111/gcb.12187

Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model: PARAMETERIZATION IMPROVEMENTS AND FUNCTIONAL AND STRUCTURAL ADVANCES
journal, January 2011

  • Lawrence, David M.; Oleson, Keith W.; Flanner, Mark G.
  • Journal of Advances in Modeling Earth Systems, Vol. 3, Issue 1
  • DOI: 10.1029/2011MS00045

Application of process-based models to forest management: experience with PROMOD, a simple plantation productivity model
journal, March 2000

Acclimation of the respiration/photosynthesis ratio to temperature: insights from a model
journal, June 1999

CO 2 balance of boreal, temperate, and tropical forests derived from a global database
journal, December 2007

Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability
journal, February 2013

  • Cox, Peter M.; Pearson, David; Booth, Ben B.
  • Nature, Vol. 494, Issue 7437
  • DOI: 10.1038/nature11882

Toward more realistic projections of soil carbon dynamics by Earth system models: SOIL CARBON MODELING
journal, January 2016

  • Luo, Yiqi; Ahlström, Anders; Allison, Steven D.
  • Global Biogeochemical Cycles, Vol. 30, Issue 1
  • DOI: 10.1002/2015GB005239

The impact of the 2009/2010 drought on vegetation growth and terrestrial carbon balance in Southwest China
journal, May 2019

Century-Scale Responses of Ecosystem Carbon Storage and Flux to Multiple Environmental Changes in the Southern United States
journal, April 2012

Fertile forests produce biomass more efficiently: Forests’ biomass production efficiency
journal, April 2012

Global Carbon Budget 2015
journal, January 2015

  • Le Quéré, C.; Moriarty, R.; Andrew, R. M.
  • Earth System Science Data, Vol. 7, Issue 2
  • DOI: 10.5194/essd-7-349-2015

Climate–Carbon Cycle Feedback Analysis: Results from the C 4 MIP Model Intercomparison
journal, July 2006

  • Friedlingstein, P.; Cox, P.; Betts, R.
  • Journal of Climate, Vol. 19, Issue 14
  • DOI: 10.1175/JCLI3800.1

Is the northern high-latitude land-based CO 2 sink weakening? : THE HIGH-LATITUDE CO
journal, August 2011

  • Hayes, D. J.; McGuire, A. D.; Kicklighter, D. W.
  • Global Biogeochemical Cycles, Vol. 25, Issue 3
  • DOI: 10.1029/2010GB003813

Dimensionality Reduction for Complex Models via Bayesian Compressive Sensing
journal, January 2014

Prediction of Growth Rate at Different Light Levels from Measured Photosynthesis and Respiration Rates
journal, April 1966

Updated world map of the Köppen-Geiger climate classification
journal, January 2007

  • Peel, M. C.; Finlayson, B. L.; McMahon, T. A.
  • Hydrology and Earth System Sciences Discussions, Vol. 4, Issue 2
  • DOI: 10.5194/hessd-4-439-2007

Reconciling Carbon-cycle Concepts, Terminology, and Methods
journal, November 2006

Shifting from a fertilization-dominated to a warming-dominated period
journal, September 2017

  • Peñuelas, Josep; Ciais, Philippe; Canadell, Josep G.
  • Nature Ecology & Evolution, Vol. 1, Issue 10
  • DOI: 10.1038/s41559-017-0274-8

Terrestrial ecosystem production: A process model based on global satellite and surface data
journal, December 1993

  • Potter, Christopher S.; Randerson, James T.; Field, Christopher B.
  • Global Biogeochemical Cycles, Vol. 7, Issue 4
  • DOI: 10.1029/93GB02725

Exploiting synergies of global land cover products for carbon cycle modeling
journal, April 2006

  • Jung, Martin; Henkel, Kathrin; Herold, Martin
  • Remote Sensing of Environment, Vol. 101, Issue 4
  • DOI: 10.1016/j.rse.2006.01.020

Forest annual carbon cost: a global-scale analysis of autotrophic respiration
journal, March 2010

  • Piao, Shilong; Luyssaert, Sebastiaan; Ciais, Philippe
  • Ecology, Vol. 91, Issue 3
  • DOI: 10.1890/08-2176.1

Woody tissue maintenance respiration of four conifers in contrasting climates
journal, February 1995

  • Ryan, Michael G.; Gower, Stith T.; Hubbard, Robert M.
  • Oecologia, Vol. 101, Issue 2
  • DOI: 10.1007/BF00317276

Traceable components of terrestrial carbon storage capacity in biogeochemical models
journal, March 2013

  • Xia, Jianyang; Luo, Yiqi; Wang, Ying-Ping
  • Global Change Biology, Vol. 19, Issue 7
  • DOI: 10.1111/gcb.12172

Global pattern of NPP to GPP ratio derived from MODIS data: effects of ecosystem type, geographical location and climate
journal, May 2009

Plausible rice yield losses under future climate warming
journal, December 2016

Improving representation of leaf respiration in large-scale predictive climate-vegetation models
journal, April 2014

  • Atkin, Owen K.; Meir, Patrick; Turnbull, Matthew H.
  • New Phytologist, Vol. 202, Issue 3
  • DOI: 10.1111/nph.12686

Canopy near-infrared reflectance and terrestrial photosynthesis
journal, March 2017

  • Badgley, Grayson; Field, Christopher B.; Berry, Joseph A.
  • Science Advances, Vol. 3, Issue 3
  • DOI: 10.1126/sciadv.1602244

Quantifying and mapping the human appropriation of net primary production in earth's terrestrial ecosystems
journal, July 2007

  • Haberl, H.; Erb, K. H.; Krausmann, F.
  • Proceedings of the National Academy of Sciences, Vol. 104, Issue 31
  • DOI: 10.1073/pnas.0704243104

On the applicability of surrogate-based Markov chain Monte Carlo-Bayesian inversion to the Community Land Model: Case studies at flux tower sites: SURROGATE-BASED MCMC FOR CLM
journal, July 2016

  • Huang, Maoyi; Ray, Jaideep; Hou, Zhangshuan
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 13
  • DOI: 10.1002/2015JD024339

Sustainability of terrestrial carbon sequestration: A case study in Duke Forest with inversion approach: SUSTAINABILITY OF TERRESTRIAL CARBON SEQUESTRATION
journal, March 2003

  • Luo, Yiqi; White, Luther W.; Canadell, Josep G.
  • Global Biogeochemical Cycles, Vol. 17, Issue 1
  • DOI: 10.1029/2002GB001923

Emergent constraints on climate-carbon cycle feedbacks in the CMIP5 Earth system models
journal, May 2014

  • Wenzel, Sabrina; Cox, Peter M.; Eyring, Veronika
  • Journal of Geophysical Research: Biogeosciences, Vol. 119, Issue 5
  • DOI: 10.1002/2013JG002591

Updated world map of the Köppen-Geiger climate classification
journal, January 2007

  • Peel, M. C.; Finlayson, B. L.; McMahon, T. A.
  • Hydrology and Earth System Sciences, Vol. 11, Issue 5
  • DOI: 10.5194/hess-11-1633-2007

Global carbon budget 2015
text, January 2015

Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model
journal, January 2011

  • Lawrence, David M.; Oleson, Keith W.; Flanner, Mark G.
  • Journal of Advances in Modeling Earth Systems, Vol. 3, Issue 3
  • DOI: 10.1029/2011ms000045

Global Carbon Budget 2015
text, January 2015

The North American Carbon Program Multi-scale synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design
journal, January 2013

  • Huntzinger, D. N.; Schwalm, C.; Michalak, A. M.
  • Geoscientific Model Development Discussions, Vol. 6, Issue 3
  • DOI: 10.5194/gmdd-6-3977-2013

The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data
journal, January 2013

  • Wei, Y.; Liu, S.; Huntzinger, D. N.
  • Geoscientific Model Development Discussions, Vol. 6, Issue 4
  • DOI: 10.5194/gmdd-6-5375-2013
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