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

Authors

Ito,  A.
External Organizations;

Nishina,  K.
External Organizations;

/persons/resource/Reyer

Reyer,  Christopher P. O.
Potsdam Institute for Climate Impact Research;

Francois,  L.
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Henrot,  A.-J.
External Organizations;

Munhoven,  G.
External Organizations;

Jacquemin,  I.
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Tian,  H.
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Yang,  J.
External Organizations;

Pan,  S.
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Morfopoulos,  C.
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Betts,  R.
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Hickler,  T.
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Steinkamp,  J.
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/persons/resource/sebastian.ostberg

Ostberg,  Sebastian
Potsdam Institute for Climate Impact Research;

/persons/resource/Sibyll.Schaphoff

Schaphoff,  Sibyll
Potsdam Institute for Climate Impact Research;

Ciais,  P.
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Chang,  J.
External Organizations;

Rafique,  R.
External Organizations;

Zeng,  N.
External Organizations;

/persons/resource/fangzhao

Zhao,  Fang
Potsdam Institute for Climate Impact Research;

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Fulltext (public)

7688oa.pdf
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Citation

Ito, A., Nishina, K., Reyer, C. P. O., Francois, L., Henrot, A.-J., Munhoven, G., Jacquemin, I., Tian, H., Yang, J., Pan, S., Morfopoulos, C., Betts, R., Hickler, T., Steinkamp, J., Ostberg, S., Schaphoff, S., Ciais, P., Chang, J., Rafique, R., Zeng, N., Zhao, F. (2017): Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies. - Environmental Research Letters, 12, 8, 85001.
https://doi.org/10.1088/1748-9326/aa7a19


Cite as: https://publications.pik-potsdam.de/pubman/item/item_21770
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.