globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.12261
论文题名:
Developing a diagnostic model for estimating terrestrial vegetation gross primary productivity using the photosynthetic quantum yield and Earth Observation data
作者: Ogutu B.O.; Dash J.; Dawson T.P.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2013
卷: 19, 期:9
起始页码: 2878
结束页码: 2892
语种: 英语
英文关键词: C3, and C4 plants ; Fraction of absorbed photosynthetically active radiation ; Gross primary productivity ; Light use efficiency ; Photosynthetic quantum yield ; SCARF model
Scopus关键词: EOS ; grassland ; light use efficiency ; modeling ; photosynthesis ; plant ; primary production ; remote sensing ; shrubland ; spatial distribution ; vegetation ; article ; C3, and C4 plants ; Europe ; fraction of absorbed photosynthetically active radiation ; gross primary productivity ; light use efficiency ; photosynthesis ; photosynthetic quantum yield ; plant development ; quantum theory ; SCARF model ; theoretical model ; United States ; C3, and C4 plants ; fraction of absorbed photosynthetically active radiation ; gross primary productivity ; light use efficiency ; photosynthetic quantum yield ; SCARF model ; Europe ; Models, Theoretical ; Photosynthesis ; Plant Development ; Quantum Theory ; United States ; Europe ; United States
英文摘要: This article develops a new carbon exchange diagnostic model [i.e. Southampton CARbon Flux (SCARF) model] for estimating daily gross primary productivity (GPP). The model exploits the maximum quantum yields of two key photosynthetic pathways (i.e. C3 and C4) to estimate the conversion of absorbed photosynthetically active radiation into GPP. Furthermore, this is the first model to use only the fraction of photosynthetically active radiation absorbed by photosynthetic elements of the canopy (i.e. FAPARps) rather than total canopy, to predict GPP. The GPP predicted by the SCARF model was comparable to in situ GPP measurements (R2 > 0.7) in most of the evaluated biomes. Overall, the SCARF model predicted high GPP in regions dominated by forests and croplands, and low GPP in shrublands and dry-grasslands across USA and Europe. The spatial distribution of GPP from the SCARF model over Europe and conterminous USA was comparable to those from the MOD17 GPP product except in regions dominated by croplands. The SCARF model GPP predictions were positively correlated (R2 > 0.5) to climatic and biophysical input variables indicating its sensitivity to factors controlling vegetation productivity. The new model has three advantages, first, it prescribes only two quantum yield terms rather than species specific light use efficiency terms; second, it uses only the fraction of PAR absorbed by photosynthetic elements of the canopy (FAPARps) hence capturing the actual PAR used in photosynthesis; and third, it does not need a detailed land cover map that is a major source of uncertainty in most remote sensing based GPP models. The Sentinel satellites planned for launch in 2014 by the European Space Agency have adequate spectral channels to derive FAPARps at relatively high spatial resolution (20 m). This provides a unique opportunity to produce global GPP operationally using the Southampton CARbon Flux (SCARF) model at high spatial resolution. © 2013 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62342
Appears in Collections:影响、适应和脆弱性

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作者单位: Department of Geography, University of Leicester, Leicester, LE1 7RH, United Kingdom; Department of Geography and Environment, University of Southampton, Southampton, SO17 1BJ, United Kingdom; School of the Environment, University of Dundee, Dundee, DD1 4HN, United Kingdom

Recommended Citation:
Ogutu B.O.,Dash J.,Dawson T.P.. Developing a diagnostic model for estimating terrestrial vegetation gross primary productivity using the photosynthetic quantum yield and Earth Observation data[J]. Global Change Biology,2013-01-01,19(9)
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