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

dc.bibliographicCitation.issue8eng
dc.bibliographicCitation.journalTitleEnvironmental Research Letterseng
dc.bibliographicCitation.volume12
dc.contributor.authorIto, Akihiko
dc.contributor.authorNishina, Kazuya
dc.contributor.authorReyer, Christopher P.O.
dc.contributor.authorFrançois, Louis
dc.contributor.authorHenrot, Alexandra-Jane
dc.contributor.authorMunhoven, Guy
dc.contributor.authorJacquemin, Ingrid
dc.contributor.authorTian, Hanqin
dc.contributor.authorYang, Jia
dc.contributor.authorPan, Shufen
dc.contributor.authorMorfopoulos, Catherine
dc.contributor.authorBetts, Richard
dc.contributor.authorHickler, Thomas
dc.contributor.authorSteinkamp, Jörg
dc.contributor.authorOstberg, Sebastian
dc.contributor.authorSchaphoff, Sibyll
dc.contributor.authorCiais, Philippe
dc.contributor.authorChang, Jinfeng
dc.contributor.authorRafique, Rashid
dc.contributor.authorZeng, Ning
dc.contributor.authorZhao, Fang
dc.date.accessioned2018-11-08T02:04:13Z
dc.date.available2019-06-28T10:34:40Z
dc.date.issued2017
dc.description.abstractSimulating 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.
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.identifier.urihttps://doi.org/10.34657/354
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/3763
dc.language.isoengeng
dc.publisherBristol : IOP Publishing
dc.relation.doihttps://doi.org/10.1088/1748-9326/aa7a19
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subject.ddc500
dc.subject.otherCarbon cycleeng
dc.subject.othergross primary productioneng
dc.subject.otherISIMIP2aeng
dc.subject.othermodelingeng
dc.subject.otheruncertaintyeng
dc.subject.othervegetationeng
dc.titlePhotosynthetic productivity and its efficiencies in ISIMIP2a biome models: Benchmarking for impact assessment studies
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectUmweltwissenschafteneng
wgl.typeZeitschriftenartikeleng
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