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BG | Articles | Volume 15, issue 21
Biogeosciences, 15, 6713–6729, 2018
https://doi.org/10.5194/bg-15-6713-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 15, 6713–6729, 2018
https://doi.org/10.5194/bg-15-6713-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Nov 2018

Research article | 12 Nov 2018

Assessing biotic contributions to CO2 fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009

Archana Dayalu et al.

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Cited articles

Acevedo, E., Silva, P., and Silva, H.: Wheat growth and physiology, Food and Agricultural Organization Plant Production and Protection Series, Bread Wheat Improvement and Protection, available at: http://www.fao.org/docrep/006/y4011e/y4011e06.htm (last access: 10 November 2016), 2002. 
Chandrasekar, K., Sesha Sai, M. V. R., Roy, P. S., and Dwevedi, R. S.: Land Surface Water Index (LSWI) response to rainfall and NDVI using the MODIS Vegetation Index product, Int. J. Remote Sens., 31, 3987–4005, https://doi.org/10.1080/01431160802575653, 2010. 
Chen, Z., Yu, G., Ge, J., Sun, X., Hirano, T., Saigusa, N., Wang, Q., Zhu, X., Zhang, Y., Zhang, J., Yan, J., Wang, H., Zhao, L., Wang, Y., Shi, P., and Zhao, F.: Temperature and precipitation control of the spatial variation of terrestrial ecosystem carbon exchange in the Asian region, Agr. Forest Meteorol., 182–183, 266–276, https://doi.org/10.1016/j.agrformet.2013.04.026, 2013. 
Dayalu, A., Munger, J. W., Wofsy, S., Wang, Y., Nehrkorn, T., Zhao, Y., McElroy, M. B., Nielsen, C., and Luus, K.: Replication Data for: Assessing biotic contributions to CO2 fluxes in Northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009, https://doi.org/10.7910/DVN/RQLGLH, Harvard Dataverse, V1, 2017. 
EIA: US Energy Information Administration, available at: http://www.eia.gov/countries/data.cfm (last access: May 2017), 2017. 
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Accounting for the vegetation signal is critical for comprehensive CO2 budget assessment in China. We model and evaluate hourly vegetation carbon dioxide (CO2) exchange (mass per unit area per unit time) in northern China from 2005 to 2009. The model is driven by satellite and meteorological data, is linked to ground-level ecosystem observations, and is applicable to other time periods. We find vegetation uptake of CO2 in summer is comparable to emissions from fossil fuels in northern China.
Accounting for the vegetation signal is critical for comprehensive CO2 budget assessment in...
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