Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies

  1. Ito, Akihiko ORCID logo
  2. Nishina, Kazuya
  3. Reyer, Christopher P. O.
  4. Francois, Louis
  5. Henrot, Alexandra-Jane
  6. Munhoven, Guy
  7. Jacquemin, Ingrid
  8. Tian, Hanqin
  9. Yang, Jia
  10. Pan, Shufen
  11. Morfopoulos, Catherine
  12. Betts, Richard
  13. Hickler, Thomas ORCID logo
  14. Steinkamp, Jörg
  15. Ostberg, Sebastian
  16. Schaphoff, Sibyll
  17. Ciais, Philippe
  18. Chang, Jinfeng
  19. Rafique, Rashid
  20. Zeng, Ning
  21. Zhao, Fang

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WeightNameValue
1000 Titel
  • Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies
1000 Autor/in
  1. Ito, Akihiko |
  2. Nishina, Kazuya |
  3. Reyer, Christopher P. O. |
  4. Francois, Louis |
  5. Henrot, Alexandra-Jane |
  6. Munhoven, Guy |
  7. Jacquemin, Ingrid |
  8. Tian, Hanqin |
  9. Yang, Jia |
  10. Pan, Shufen |
  11. Morfopoulos, Catherine |
  12. Betts, Richard |
  13. Hickler, Thomas |
  14. Steinkamp, Jörg |
  15. Ostberg, Sebastian |
  16. Schaphoff, Sibyll |
  17. Ciais, Philippe |
  18. Chang, Jinfeng |
  19. Rafique, Rashid |
  20. Zeng, Ning |
  21. Zhao, Fang |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-07-25
1000 Erschienen in
1000 Quellenangabe
  • 12(8):085001
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1088/1748-9326/aa7a19 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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 CO2 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.
1000 Fachgruppe
  1. Umweltwissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://orcid.org/0000-0001-5265-0791|https://frl.publisso.de/adhoc/creator/TmlzaGluYSwgS2F6dXlh|https://frl.publisso.de/adhoc/creator/UmV5ZXIsIENocmlzdG9waGVyIFAuIE8u|https://frl.publisso.de/adhoc/creator/RnJhbmNvaXMsIExvdWlz|https://frl.publisso.de/adhoc/creator/SGVucm90LCBBbGV4YW5kcmEtSmFuZQ==|https://frl.publisso.de/adhoc/creator/TXVuaG92ZW4sIEd1eQ==|https://frl.publisso.de/adhoc/creator/SmFjcXVlbWluLCBJbmdyaWQ=|https://frl.publisso.de/adhoc/creator/VGlhbiwgSGFucWlu|https://frl.publisso.de/adhoc/creator/WWFuZywgSmlh|https://frl.publisso.de/adhoc/creator/UGFuLCBTaHVmZW4=|https://frl.publisso.de/adhoc/creator/TW9yZm9wb3Vsb3MsIENhdGhlcmluZQ==|https://frl.publisso.de/adhoc/creator/QmV0dHMsIFJpY2hhcmQ=|http://orcid.org/0000-0002-4668-7552|https://frl.publisso.de/adhoc/creator/U3RlaW5rYW1wLCBKw7ZyZw==|https://frl.publisso.de/adhoc/creator/T3N0YmVyZywgU2ViYXN0aWFu|https://frl.publisso.de/adhoc/creator/U2NoYXBob2ZmLCBTaWJ5bGw=|https://frl.publisso.de/adhoc/creator/Q2lhaXMsIFBoaWxpcHBl|https://frl.publisso.de/adhoc/creator/Q2hhbmcsIEppbmZlbmc=|https://frl.publisso.de/adhoc/creator/UmFmaXF1ZSwgUmFzaGlk|https://frl.publisso.de/adhoc/creator/WmVuZywgTmluZw==|https://frl.publisso.de/adhoc/creator/WmhhbywgRmFuZw==
1000 Label
1000 Förderer
  1. German Federal Ministry of Education and Research (BMBF)
  2. European Research Council
  3. European Commission
  4. Ministry of the Environment, Japan
  5. Japan Society for the Promotion of Science
1000 Fördernummer
  1. 01L1201A1
  2. -
  3. 603864 (HELIX)
  4. -
  5. 26281014
1000 Förderprogramm
  1. -
  2. Synergy grant ERC-2013-SyG-610028 IMBALANCE-P
  3. 7th Framework Program (EU/FP7)
  4. Environmental Research and Technology Development Fund (S-10)
  5. Grant-in-aid
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6408409.rdf
1000 Erstellt am 2018-06-18T12:11:31.934+0200
1000 Erstellt von 270
1000 beschreibt frl:6408409
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2020-01-31T00:09:22.913+0100
1000 Objekt bearb. Tue Jun 19 07:10:42 CEST 2018
1000 Vgl. frl:6408409
1000 Oai Id
  1. oai:frl.publisso.de:frl:6408409 |
1000 Sichtbarkeit Metadaten public
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