Skip to main content
Have a personal or library account? Click to login
Sources of variation in simulated ecosystem carbon storage capacity from the 5th Climate Model Intercomparison Project (CMIP5) Cover

Sources of variation in simulated ecosystem carbon storage capacity from the 5th Climate Model Intercomparison Project (CMIP5)

Tellus B: Chemical and Physical Meteorology
Volume 66 (2014): Issue 1
By: ,  ,   and    
Open Access
|Jan 2014
References

References

  1. Ahlström A , Smith B , Lindström J , Rummukainen M , Uvo C. B . GCM characteristics explain the majority of uncertainty in projected 21st century terrestrial ecosystem carbon balance . Biogeosciences . 2013 ; 10 : 1517 – 1528 .
    Search in Google ScholarBack to article
  2. Arora V. K , Boer G. J . A parameterization of leaf phenology for the terrestrial ecosystem component of climate models . Glob. Chang. Biol . 2005 ; 11 : 39 – 59 .
    Search in Google ScholarBack to article
  3. Arora V. K , Scinocca J. F , Boer G. J , Christian J. R , Denman K. L , co-authors . Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases . Geophys. Res. Lett . 2011 ; 38 : 05805 .
    Search in Google ScholarBack to article
  4. Atkin O. K , Atkinson L. J , Fisher R. A , Campbell C. D , Zaragoza-Castells J , co-authors . Using temperature-dependent changes in leaf scaling relationships to quantitatively account for thermal acclimation of respiration in a coupled global climate–vegetation model . Glob. Chang. Biol . 2008 ; 14 : 2709 – 2726 .
    Search in Google ScholarBack to article
  5. Barrett D. J . Steady state turnover time of carbon in the Australian terrestrial biosphere . Glob. Biogeochem. Cycles . 2002 ; 16 ( 4 ): 1108 .
    Search in Google ScholarBack to article
  6. Bowman D. M , Balch J. K , Artaxo P , Bond W. J , Carlson J. M , co-authors . Fire in the Earth system . Science . 2009 ; 324 : 481 – 484 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  7. Canadell J. G , Le Quere C , Raupach M. R , Field C. B , Buitenhuis E. T , co-authors . Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks . Proc. Natl. Acad. Sci. U. S. A . 2007 ; 104 : 18866 – 18870 . [PubMed Abstract] [PubMed CentralFull Text] .
    Search in Google ScholarBack to article
  8. Carbone M. S , Trumbore S. E . Contribution of new photosynthetic assimilates to respiration by perennial grasses and shrubs: residence times and allocation patterns . New Phytol . 2007 ; 176 : 124 – 135 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  9. Chambers J. Q , Fisher J. I , Zeng H , Chapman E. L , Baker D. B , co-authors . Hurricane Katrina's carbon footprint on U.S. Gulf Coast forests . Science . 2007 ; 318 : 1107 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  10. Ciais P , Friedlingstein P , Schimel D. S , Tans P. P . A global calculation of the delta C-13 of soil respired carbon: implications for the biospheric uptake of anthropogenic CO2 . Glob. Biogeochem. Cycles . 1999 ; 13 : 519 – 530 .
    Search in Google ScholarBack to article
  11. Cox P. M , Betts R. A , Collins M , Harris P. P , Huntingford C , co-authors . Amazonian forest dieback under climate–carbon cycle projections for the 21st century . Theor. Appl. Climatol . 2004 ; 78 : 137 – 156 .
    Search in Google ScholarBack to article
  12. Cramer W , Field C. B . Comparing global models of terrestrial net primary productivity (NPP): introduction . Glob. Chang. Biol . 1999 ; 5 : Iii – Iv .
    Search in Google ScholarBack to article
  13. Cramer W , Kicklighter D. W , Bondeau A , Moore B , Churkina G , co-authors . Comparing global models of terrestrial net primary productivity (NPP): overview and key results . Glob. Chang. Biol . 1999 ; 5 : 1 – 15 .
    Search in Google ScholarBack to article
  14. Davidson E. A , Janssens I. A . Temperature sensitivity of soil carbon decomposition and feedbacks to climate change . Nature . 2006 ; 440 : 165 – 173 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  15. Derrien D , Amelung W . Computing the mean residence time of soil carbon fractions using stable isotopes: impacts of the model framework . Eur. J. Soil Sci . 2011 ; 62 : 237 – 252 .
    Search in Google ScholarBack to article
  16. Dungait J. A. J , Hopkins D. W , Gregory A. S , Whitmore A. P . Soil organic matter turnover is governed by accessibility not recalcitrance . Glob. Chang. Biol . 2012 ; 18 : 1781 – 1796 .
    Search in Google ScholarBack to article
  17. Emanuel W. R , Killough G. G , Post W. M , Shugart H. H . Modeling terrestrial ecosystems in the global carbon-cycle with shifts in carbon storage capacity by land-use change . Ecology . 1984 ; 65 : 970 – 983 .
    Search in Google ScholarBack to article
  18. FAO/IIASA/ISRIC/ISSCAS/JRC . Harmonized World Soil Database (version 1.10) . 2012 ; Rome, Italy and IIASA, Laxenburg, Austria : FAO .
    Search in Google ScholarBack to article
  19. Friedlingstein P , Cox P , Betts R , Bopp L , Von Bloh W , co-authors . Climate–carbon cycle feedback analysis: results from the C4MIP model intercomparison . J. Clim . 2006 ; 19 : 3337 – 3353 .
    Search in Google ScholarBack to article
  20. Heimann M , Reichstein M . Terrestrial ecosystem carbon dynamics and climate feedbacks . Nature . 2008 ; 451 : 289 – 292 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  21. Hiederer R , Köchy M . Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR 25225 EN . 2011 ; Publications Office of the European Union . 79 pp .
    Search in Google ScholarBack to article
  22. Hopkins F. M , Torn M. S , Trumbore S. E . Warming accelerates decomposition of decades-old carbon in forest soils . Proc. Natl. Acad. Sci. U. S. A . 2012 ; 109 : E1753 – 1761 . [PubMed Abstract] [PubMed CentralFull Text] .
    Search in Google ScholarBack to article
  23. Johnston M. H , Homann P. S , Engstrom J. K , Grigal D. F . Changes in ecosystem carbon storage over 40 years on an old-field forest landscape in east-central Minnesota . Forest Ecol. Manag . 1996 ; 83 : 17 – 26 .
    Search in Google ScholarBack to article
  24. Kane E. S , Vogel J. G . Patterns of total ecosystem carbon storage with changes in soil temperature in Boreal Black Spruce forests . Ecosystems . 2009 ; 12 : 322 – 335 .
    Search in Google ScholarBack to article
  25. Kicklighter D. W , Bondeau A , Schloss A. L , Kaduk J , McGuire A. D , co-authors . Comparing global models of terrestrial net primary productivity (NPP): global pattern and differentiation by major biomes . Glob. Chang. Biol . 1999 ; 5 : 16 – 24 .
    Search in Google ScholarBack to article
  26. Knorr W , Prentice I. C , House J. I , Holland E. A . Long-term sensitivity of soil carbon turnover to warming . Nature . 2005 ; 433 : 298 – 301 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  27. Koven C. D , Ringeval B , Friedlingstein P , Ciais P , Cadule P , co-authors . Permafrost carbon–climate feedbacks accelerate global warming . Proc. Natl. Acad. Sci. U. S. A . 2011 ; 108 : 14769 – 14774 . [PubMed Abstract] [PubMed CentralFull Text] .
    Search in Google ScholarBack to article
  28. Krinner G , Viovy N , de Noblet-Ducoudré N , Ogée J , Polcher J , co-authors . A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system . Glob. Biogeochem. Cycles . 2005 ; 19 : GB1015 .
    Search in Google ScholarBack to article
  29. Krishan G , Srivastav S. K , Kumar S , Saha S. K , Dadhwal V. K . Quantifying the underestimation of soil organic carbon by the Walkley and Black—examples from Himalayan and Central Indian soils . Curr. Sci. India . 2009 ; 96 : 1133 – 1136 .
    Search in Google ScholarBack to article
  30. Lales J. S , Lasco R. D , Geronimo I. Q . Carbon storage capacity of agricultural and grassland ecosystems in a geothermal block . Philippine Agr. Sci . 2001 ; 84 : 8 – 18 .
    Search in Google ScholarBack to article
  31. Lawrence D. M , Oleson K. W , Flanner M. G , Thornton P. E , Swenson S. C , co-authors . Parameterization improvements and functional and structural advances in version 4 of the Community Land Model . J. Adv. Model. Earth Syst . 2011 ; 3 : 1942 – 2466 .
    Search in Google ScholarBack to article
  32. Lawrence P. J , Chase T. N . Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0) . Journal of Geophysical Research: Biogeosciences . 2007 ; 112 : G01023 .
    Search in Google ScholarBack to article
  33. Le Quere C , Raupach M. R , Canadell J. G , Marland G , Bopp L , co-authors . Trends in the sources and sinks of carbon dioxide . Nat. Geosci . 2009 ; 2 : 831 – 836 .
    Search in Google ScholarBack to article
  34. Luo Y . Terrestrial carbon–cycle feedback to climate warming . Ann. Rev. Ecol. Evol. Syst . 2007 ; 38 : 683 – 712 .
    Search in Google ScholarBack to article
  35. Luo Y. Q , White L. W , Canadell J. G , DeLucia E. H , Ellsworth D. S , co-authors . Sustainability of terrestrial carbon sequestration: a case study in Duke Forest with inversion approach . Glob. Biogeochem. Cycles . 2003 ; 17 ( 1 ): 1021 .
    Search in Google ScholarBack to article
  36. Luo Y. Q , Wu L. H , Andrews J. A , White L , Matamala R , co-authors . Elevated CO2 differentiates ecosystem carbon processes: deconvolution analysis of Duke Forest FACE data . Ecol. Monogr . 2001 ; 71 : 357 – 376 .
    Search in Google ScholarBack to article
  37. Mahecha M. D , Reichstein M , Carvalhais N , Lasslop G , Lange H , co-authors . Global convergence in the temperature sensitivity of respiration at ecosystem level . Science . 2010 ; 329 : 838 – 840 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  38. Meyer R , Joos F , Esser G , Heimann M , Hooss G , co-authors . The substitution of high-resolution terrestrial biosphere models and carbon sequestration in response to changing CO2 and climate . Global Biogeochem. Cycles . 1999 ; 13 : 785 – 802 .
    Search in Google ScholarBack to article
  39. Mooney H , Canadell J , Chapin F., III , Ehleringer J , Körner C , co-authors . Ecosystem Physiology Responses to Global Change . 1999 ; Cambridge : Cambridge University Press . 141 – 189 .
    Search in Google ScholarBack to article
  40. Parton W. J , Stewart J. W , Cole C. V . Dynamics of C, N, P and S in grassland soils: a model . Biogeochemistry . 1988 ; 5 : 109 – 131 .
    Search in Google ScholarBack to article
  41. Piao S , Luyssaert S , Ciais P , Janssens I. A , Chen A , co-authors . Forest annual carbon cost: a global-scale analysis of autotrophic respiration . Ecology . 2010 ; 91 : 652 – 661 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  42. Pinsonneault A. J , Matthews H. D , Kothavala Z . Benchmarking climate–carbon model simulations against forest FACE data . Atmos. Ocean . 2011 ; 49 : 41 – 50 .
    Search in Google ScholarBack to article
  43. Prentice I. C , Bondeau A , Cramer W , Harrison S. P , Hickler T , co-authors . Dynamic global vegetation modeling: quantifying terrestrial ecosystem responses to large-scale environmental change . Terrestrial Ecosystems in a Changing World . 2007 ; Springer, Berlin, : Heidelberg . 175 – 192 . (eds. J. G. Canadell, D. E. Pataki and L. .
    Search in Google ScholarBack to article
  44. Raich J. W , Schlesinger W. H . The global carbondioxide flux in soil respiration and its relationship to vegetation and climate . Tellus B . 1992 ; 44 : 81 – 99 .
    Search in Google ScholarBack to article
  45. Randerson J. T , Thompson M. V , Field C. B . Linking C-13-based estimates of land and ocean sinks with predictions of carbon storage from CO2 fertilization of plant growth . Tellus. B . 1999 ; 51 : 668 – 678 .
    Search in Google ScholarBack to article
  46. Ruimy A , Dedieu G , Saugier B . TURC: a diagnostic model of continental gross primary productivity and net primary productivity . Glob. Biogeochem. Cycles . 1996 ; 10 : 269 – 285 .
    Search in Google ScholarBack to article
  47. Sato H , Itoh A , Kohyama T . SEIB–DGVM: a new dynamic global vegetation model using a spatially explicit individual-based approach . Ecol. Model . 2007 ; 200 : 279 – 307 .
    Search in Google ScholarBack to article
  48. Schmidt M. W. I , Torn M. S , Abiven S , Dittmar T , Guggenberger G , co-authors . Persistence of soil organic matter as an ecosystem property . Nature . 2011 ; 478 : 49 – 56 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  49. Schuur E. A. G , Vogel J. G , Crummer K. G , Lee H , Sickman J. O , co-authors . The effect of permafrost thaw on old carbon release and net carbon exchange from tundra . Nature . 2009 ; 459 : 556 – 559 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  50. Solomon S , Qin D , Manning M , Marquis M , Averyt K , co-authors . Climate change 2007: the physical science basis . Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change . 2007 ; Cambridge : Cambridge University Press .
    Search in Google ScholarBack to article
  51. Strassmann K. M , Joos F , Fischer G . Simulating effects of land use changes on carbon fluxes: past contributions to atmospheric CO2 increases and future commitments due to losses of terrestrial sink capacity . Tellus B . 2008 ; 60 : 583 – 603 .
    Search in Google ScholarBack to article
  52. Tang J. W , Yin J. X , Qi J. F , Jepsen M. R , Lu X. T . Ecosystem carbon storage of tropical forests over limestone in Xishuangbanna, SW China . J. Trop. Forest Sci . 2012 ; 24 : 399 – 407 .
    Search in Google ScholarBack to article
  53. Thompson M. V , Randerson J. T . Impulse response functions of terrestrial carbon cycle models: method and application . Glob. Chang. Biol . 1999 ; 5 : 371 – 394 .
    Search in Google ScholarBack to article
  54. Tian H. Q , Chen G. S , Zhang C , Liu M. L , Sun G , co-authors . Century-scale responses of ecosystem carbon storage and flux to multiple environmental changes in the southern united states . Ecosystems . 2012 ; 15 : 674 – 694 .
    Search in Google ScholarBack to article
  55. Todd-Brown K. E. O , Randerson J. T , Post W. M , Hoffman F. M , Tarnocai C , co-authors . Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations . Biogeosciences . 2013 ; 10 : 1717 – 1736 .
    Search in Google ScholarBack to article
  56. van der Werf G. R , Randerson J. T , Giglio L , Collatz G , Mu M , co-authors . Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009) . Atmos. Chem. Phys . 2010 ; 10 : 11707 – 11735 .
    Search in Google ScholarBack to article
  57. Wang W , Dungan J , Hashimoto H , Michaelis A. R , Milesi C , co-authors . Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 1. primary production . Glob. Chang. Biol . 2011 ; 17 : 1350 – 1366 .
    Search in Google ScholarBack to article
  58. Weng E. S , Luo Y. Q , Wang W , Wang H , Hayes D. J , co-authors . Ecosystem carbon storage capacity as affected by disturbance regimes: A general theoretical model . Journal of Geophysical Research-Biogeosciences . 2012 ; 117 : G3 .
    Search in Google ScholarBack to article
  59. Watanabe S , Hajima T , Sudo K , Nagashima T , Takemura T , co-authors . MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments . Geosci. Model Dev . 2011 ; 4 : 845 – 872 .
    Search in Google ScholarBack to article
  60. Xia J , Luo Y , Wang Y. P , Hararuk O . Traceable components of terrestrial carbon storage capacity in biogeochemical models . Glob. Chang. Biol . 2013 ; 19 : 2104 – 2116 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  61. Xu T , White L , Hui D. F , Luo Y. Q . Probabilistic inversion of a terrestrial ecosystem model: analysis of uncertainty in parameter estimation and model prediction . Glob. Biogeochem. Cycles . 2006 ; 20 : GB2007 .
    Search in Google ScholarBack to article
  62. Zhang Y , Xu M , Chen H , Adams J . Global pattern of NPP to GPP ratio derived from MODIS data: effects of ecosystem type, geographical location and climate . Glob. Ecol. Biogeogr . 2009 ; 18 : 280 – 290 .
    Search in Google ScholarBack to article
  63. Zhao M , Running S. W . Drought-induced reduction in global terrestrial net primary production from 2000 through 2009 . Science . 2010 ; 329 : 940 – 943 . [PubMed Abstract] .
    Search in Google ScholarBack to article
  64. Zhou T , Luo Y. Q . Spatial patterns of ecosystem carbon residence time and NPP-driven carbon uptake in the conterminous United States . Glob. Biogeochem. Cycles . 2008 ; 22 : GB3032 .
    Search in Google ScholarBack to article
  65. Zhou X , Zhou T , Luo Y . Uncertainties in carbon residence time and NPP-driven carbon uptake in terrestrial ecosystems of the conterminous USA: a Bayesian approach . Tellus B . 2012 ; 64 : 17223 .
    Search in Google ScholarBack to article
DOI: https://doi.org/10.3402/tellusb.v66.22568 | Journal eISSN: 1600-0889
Journal RSS Feed
Language: English
Page range: 22568 - 22568
Submitted on: Aug 8, 2013
Accepted on: Mar 20, 2014
Published on: Jan 1, 2014
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
ecosystem C storage capacity,
ecosystem residence time,
C input,
model intercomparison,
uncertainty,
CMIP5,
net primary productivity

© 2014 Yaner Yan, Yiqi Luo, Xuhui Zhou, Jianmin Chen, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 66 (2014): Issue 1
Previous article
Next article