West, Tristram (Tris): DOE (Project Lead)
Bandaru, Varaprasad (Prasad): USDA ARS (Co-Investigator)
Collatz, George (Jim): NASA GSFC - retired (Participant)
Imhoff, Marc: Joint Global Change Research Institute (Participant)
Wolf, Julie: Joint Global Change Research Institute (Participant)
Project Funding:
2012 - 2014
NRA: 2011 NASA: Carbon Monitoring System
Funded by NASA
Abstract:
Inventory-based estimates of C flux have been developed for US agriculture (West et al. 2011), US forests (Zheng et al. 2011 and McKinley et al. 2011), and for North American agriculture and forest lands (Hayes et al. 2012). These estimates combine C uptake, harvest and removal, and C release to generate regional C flux estimates. These estimates differ from carbon biomass or stock estimates which often only represent the net C uptake component of the flux. The inventory-based C flux method of estimation has evolved over the past 5 years, as noted by the recent aforementioned citations, and has been used successfully as input to biogeochemical models, atmospheric transport models, and economic models. Estimates have also been used as independent data sets for comparison with other methods (King et al. 2012). The usefulness of this new method is evident. What is needed now is an expansion of the method for global use. The purpose of this proposed research is to develop a global C budget for agricultural carbon uptake and release, as was done for the US by West et al. (2011). A global US C budget, together with satellite remote sensing of land cover, will provide a gridded global C flux for agricultural lands. This product can be used as input to the NASA Flux Pilot Study and by models currently engaged in the Study. The proposed method combines aforementioned methods of spatially explicit C uptake and release with a NASA-generated global data set on human consumption of agricultural commodities (Imhoff et al. 2004, 2006) for use in the CASA model (Potter et al. 1993, Williams et al. 2012) and other Pilot Study models. Datasets generated will also be commensurate with those used in the DOE Integrated Assessment (IA) program, which allows for future economic projections of land use and human population to be linked with carbon fluxes generated with NASA models.
Publications:
Wolf, J., West, T. O., Le Page, Y., Kyle, G. P., Zhang, X., Collatz, G. J., Imhoff, M. L. 2015. Biogenic carbon fluxes from global agricultural production and consumption. Global Biogeochemical Cycles. 29(10), 1617-1639. DOI: 10.1002/2015GB005119
West, T. O., Le Page, Y., Huang, M., Wolf, J., Thomson, A. M. 2014. Downscaling global land cover projections from an integrated assessment model for use in regional analyses: results and evaluation for the US from 2005 to 2095. Environmental Research Letters. 9(6), 064004. DOI: 10.1088/1748-9326/9/6/064004
King, A. W., Hayes, D. J., Huntzinger, D. N., West, T. O., Post, W. M. 2012. North American carbon dioxide sources and sinks: magnitude, attribution, and uncertainty. Frontiers in Ecology and the Environment. 10(10), 512-519. DOI: 10.1890/120066
Li, Z., Liu, S., Tan, Z., Bliss, N. B., Young, C. J., West, T. O., Ogle, S. M. 2014. Comparing cropland net primary production estimates from inventory, a satellite-based model, and a process-based model in the Midwest of the United States. Ecological Modelling. 277, 1-12. DOI: 10.1016/j.ecolmodel.2014.01.012
Ogle, S. M., Davis, K., Lauvaux, T., Schuh, A., Cooley, D., West, T. O., Heath, L. S., Miles, N. L., Richardson, S., Breidt, F. J., Smith, J. E., McCarty, J. L., Gurney, K. R., Tans, P., Denning, A. S. 2015. An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO
2
concentration data. Environmental Research Letters. 10(3), 034012. DOI: 10.1088/1748-9326/10/3/034012
Post, W. M., Izaurralde, R. C., West, T. O., Liebig, M. A., King, A. W. 2012. Management opportunities for enhancing terrestrial carbon dioxide sinks. Frontiers in Ecology and the Environment. 10(10), 554-561. DOI: 10.1890/120065
Schuh, A. E., Lauvaux, T., West, T. O., Denning, A. S., Davis, K. J., Miles, N., Richardson, S., Uliasz, M., Lokupitiya, E., Cooley, D., Andrews, A., Ogle, S. 2013. Evaluating atmospheric CO2inversions at multiple scales over a highly inventoried agricultural landscape. Global Change Biology. 19(5), 1424-1439. DOI: 10.1111/gcb.12141
West, T. O., Brown, M. E., Duren, R. M., Ogle, S. M., Moss, R. H. 2014. Definition, capabilities and components of a terrestrial carbon monitoring system. Carbon Management. 4(4), 413-422. DOI: 10.4155/CMT.13.36
Zeng, N., Zhao, F., Collatz, G. J., Kalnay, E., Salawitch, R. J., West, T. O., Guanter, L. 2014. Agricultural Green Revolution as a driver of increasing atmospheric CO2 seasonal amplitude. Nature. 515(7527), 394-397. DOI: 10.1038/nature13893
Zhang, X., Sahajpal, R., Manowitz, D. H., Zhao, K., LeDuc, S. D., Xu, M., Xiong, W., Zhang, A., Izaurralde, R. C., Thomson, A. M., West, T. O., Post, W. M. 2014. Multi-scale geospatial agroecosystem modeling: A case study on the influence of soil data resolution on carbon budget estimates. Science of The Total Environment. 479-480, 138-150. DOI: 10.1016/j.scitotenv.2014.01.099
More details may be found in the following project profile(s):
