Please use this identifier to cite or link to this item:
Files in This Item:
File Description SizeFormat 
ERL_12_8_085001_suppdata.pdf1,22 MBAdobe PDFView/Open
Ito_2017_Environ._Res._Lett._12_085001.pdf2,59 MBAdobe PDFView/Open
Title: Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: Benchmarking for impact assessment studies
Authors: Ito, AkihikoNishina, KazuyaReyer, Christopher P. O.François, LouisHenrot, Alexandra-JaneMunhoven, GuyJacquemin, IngridTian, HanqinYang, JiaPan, ShufenMorfopoulos, CatherineBetts, RichardHickler, ThomasSteinkamp, JörgOstberg, SebastianSchaphoff, SibyllCiais, PhilippeChang, JinfengRafique, RashidZeng, NingZhao, Fang
Publishers Version:
Issue Date: 2017
Published in: Environmental Research Letters, Volume 12, Issue 8
Publisher: Bristol : IOP Publishing
Abstract: 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.
Keywords: Carbon cycle; gross primary production; ISIMIP2a; modeling; uncertainty; vegetation
DDC: 500
License: CC BY 3.0 Unported
Link to License:
Appears in Collections:Umweltwissenschaften

This item is licensed under a Creative Commons License Creative Commons