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Developing a diagnostic model for estimating terrestrial vegetation gross primary productivity using the photosynthetic quantum yield and Earth Observation data.
MedLine Citation:
PMID:  23687009     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
This paper 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 photosynthetic 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 (R(2) > 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 (R(2) >0.5) to climatic and biophysical input variables indicating its sensitivity to factors controlling vegetation productivity. The new model has three advantages, firstly, it prescribes only two quantum yield terms rather than species specific light use efficiency terms; secondly, it uses only the fraction of PAR absorbed by photosynthetic elements of the canopy (FAPARps ) hence capturing the actual PAR used in photosynthesis; and thirdly, 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 (20m). This provides a unique opportunity to produce global GPP operationally using the Southampton CARbon Flux (SCARF) model at high spatial resolution. This article is protected by copyright. All rights reserved.
Authors:
Booker O Ogutu; Jadunandan Dash
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-5-20
Journal Detail:
Title:  Global change biology     Volume:  -     ISSN:  1354-1013     ISO Abbreviation:  Glob Chang Biol     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-5-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9888746     Medline TA:  Glob Chang Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
This article is protected by copyright. All rights reserved.
Affiliation:
Geography and Environment, University of Southampton, SO17 1BJ, Southampton, United Kingdom.
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