Evaluating changes of biomass in global vegetation models: the role of turnover fluctuations and ENSO events

  1. Garcia Cantu Ros, Anselmo ORCID logo
  2. Frieler, Katja ORCID logo
  3. Reyer, Christopher ORCID logo
  4. Ciais, Philippe ORCID logo
  5. CHANG, Jinfeng ORCID logo
  6. Ito, Akihiko
  7. Nishina, Kazuya ORCID logo
  8. François, Louis ORCID logo
  9. Henrot, Alexandra-Jane
  10. Hickler, Thomas ORCID logo
  11. Steinkamp, Joerg ORCID logo
  12. Rafique, Rashid ORCID logo
  13. Zhao, Fang ORCID logo
  14. Ostberg, Sebastian ORCID logo
  15. Schaphoff, Sibyll ORCID logo
  16. Tian, Hanqin ORCID logo
  17. Pan, Shufen
  18. Yang, Jia
  19. Morfopoulos, Catherine
  20. Betts, Richard ORCID logo

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Cantú_2018_Environ._Res._Lett._13_075002.pdf 2,48MB
WeightNameValue
1000 Titel
  • Evaluating changes of biomass in global vegetation models: the role of turnover fluctuations and ENSO events
1000 Autor/in
  1. Garcia Cantu Ros, Anselmo |
  2. Frieler, Katja |
  3. Reyer, Christopher |
  4. Ciais, Philippe |
  5. CHANG, Jinfeng |
  6. Ito, Akihiko |
  7. Nishina, Kazuya |
  8. François, Louis |
  9. Henrot, Alexandra-Jane |
  10. Hickler, Thomas |
  11. Steinkamp, Joerg |
  12. Rafique, Rashid |
  13. Zhao, Fang |
  14. Ostberg, Sebastian |
  15. Schaphoff, Sibyll |
  16. Tian, Hanqin |
  17. Pan, Shufen |
  18. Yang, Jia |
  19. Morfopoulos, Catherine |
  20. Betts, Richard |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-06-26
1000 Erschienen in
1000 Quellenangabe
  • 13(7):075002
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1088/1748-9326/aac63c |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • This paper evaluates the ability of eight global vegetation models to reproduce recent trends and inter-annual variability of biomass in natural terrestrial ecosystems. For the purpose of this evaluation, the simulated trajectories of biomass are expressed in terms of the relative rate of change in biomass (RRB), defined as the deviation of the actual rate of biomass turnover from its equilibrium counterpart. Cumulative changes in RRB explain long-term changes in biomass pools. RRB simulated by the global vegetation models is compared with its observational equivalent, derived from vegetation optical depth reconstructions of above-ground biomass (AGB) over the period 1993–2010. According to the RRB analysis, the rate of global biomass growth described by the ensemble of simulations substantially exceeds the observation. The observed fluctuations of global RRB are significantly correlated with El Niño Southern Oscillation events (ENSO), but only some of the simulations reproduce this correlation. However, the ENSO sensitivity of RRB in the tropics is not significant in the observation, while it is in some of the simulations. This mismatch points to an important limitation of the observed AGB reconstruction to capture biomass variations in tropical forests. Important discrepancies in RRB were also identified at the regional scale, in the tropical forests of Amazonia and Central Africa, as well as in the boreal forests of north-western America, western and central Siberia. In each of these regions, the RRBs derived from the simulations were analyzed in connection with underlying differences in net primary productivity and biomass turnover rate ̶as a basis for exploring in how far differences in simulated changes in biomass are attributed to the response of the carbon uptake to CO2 increments, as well as to the model representation of factors affecting the rates of mortality and turnover of foliage and roots. Overall, our findings stress the usefulness of using RRB to evaluate complex vegetation models and highlight the importance of conducting further evaluations of both the actual rate of biomass turnover and its equilibrium counterpart, with special focus on their background values and sources of variation. In turn, this task would require the availability of more accurate multi-year observational data of biomass and net primary productivity for natural ecosystems, as well as detailed and updated information on land-cover classification.
1000 Sacherschließung
lokal vegetation optical depth
lokal ENSO
lokal terrestrial ecosystems
lokal ISIMIP2a
lokal interannual variability
lokal biomass
lokal global vegetation models
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6020-6324|https://orcid.org/0000-0003-4869-3013|https://orcid.org/0000-0003-1067-1492|https://orcid.org/0000-0001-8560-4943|https://orcid.org/0000-0003-4463-7778|https://frl.publisso.de/adhoc/uri/SXRvLCBBa2loaWtv|https://orcid.org/0000-0002-8820-1282|https://orcid.org/0000-0001-8292-8360|https://frl.publisso.de/adhoc/uri/SGVucm90LCBBbGV4YW5kcmEtSmFuZQ==|https://orcid.org/0000-0002-4668-7552|https://orcid.org/0000-0002-7861-8789|https://orcid.org/0000-0001-9591-6588|https://orcid.org/0000-0002-4819-3724|https://orcid.org/0000-0002-2368-7015|https://orcid.org/0000-0003-1677-8282|https://orcid.org/0000-0002-1806-4091|https://frl.publisso.de/adhoc/uri/UGFuLCBTaHVmZW4=|https://frl.publisso.de/adhoc/uri/WWFuZywgSmlh|https://frl.publisso.de/adhoc/uri/TW9yZm9wb3Vsb3MsIENhdGhlcmluZQ==|https://orcid.org/0000-0002-4929-0307
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Seventh Framework Programme |
  3. Leibniz-Gemeinschaft |
  4. National Science Foundation |
  5. Ministry of the Environment |
1000 Fördernummer
  1. 01LS1201A1
  2. 603864
  3. SAW-2013 P IK-5
  4. AGS1243232; CNH1210360
  5. S-10
1000 Förderprogramm
  1. Inter-Sectoral Impact Model Intercomparison Project Phase 2a (ISIMIP2a)
  2. HELIX
  3. -
  4. -
  5. Environmental Research and Technology Development Fund
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm Inter-Sectoral Impact Model Intercomparison Project Phase 2a (ISIMIP2a)
    1000 Fördernummer 01LS1201A1
  2. 1000 joinedFunding-child
    1000 Förderer Seventh Framework Programme |
    1000 Förderprogramm HELIX
    1000 Fördernummer 603864
  3. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer SAW-2013 P IK-5
  4. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer AGS1243232; CNH1210360
  5. 1000 joinedFunding-child
    1000 Förderer Ministry of the Environment |
    1000 Förderprogramm Environmental Research and Technology Development Fund
    1000 Fördernummer S-10
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6424766.rdf
1000 Erstellt am 2020-12-16T13:59:04.119+0100
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Wed Feb 17 09:10:45 CET 2021
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1000 Oai Id
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