Asrar, Ghassem: Pacific NW National Lab (Project Lead)
Ogle, Stephen: Colorado State University (Co-Investigator)
West, Tristram (Tris): DOE (Co-Investigator)
Wolf, Julie: Joint Global Change Research Institute (Participant)
Project Funding:
2013 - 2016
NRA: 2013 NASA: Carbon Monitoring System
Funded by NASA
Abstract:
A comprehensive carbon monitoring system will likely include the integration of bottom-up and top-down estimates. Current bottom-up estimates for global agricultural lands often consist of individual inventory-based estimates per country. This results in a global bottom-up estimate that is not consistent in underlying soils or land cover data, methods of estimating carbon stocks and fluxes, or estimates of uncertainty. The proposed research will use off-the-shelf data, models, and remote sensing products to develop a global bottom-up, inventory-based estimate of carbon stocks and fluxes for agricultural lands, including vegetation and soils. The annual estimates will be generated using globally consistent datasets, C estimation methods, and methods for estimating uncertainty. Land area will be defined by a fusion of MODIS land cover data and inventory-based land area data. Methods will coincide with current national and international methods and protocols for compatibility with ongoing efforts in carbon monitoring, reporting, and verification. While these estimates can be used independently for synthesis and assessment reports, they can also be (a) used in conjunction with similar global data on forest carbon stocks and fluxes, thereby generating one comprehensive bottom-up, inventory-based estimates, and (b) used to evaluate the latest state-of-the-art monitoring components generated by NASA in the coming years. A scoping study will also be conducted to determine how the bottom-up, inventory-based estimate can be improved upon or integrated with other satellite-based bottom-up estimates, and how the global agricultural estimate can be integrated with previously conducted estimates on global forest carbon.
Publications:
Chen, M., Rafique, R., Asrar, G. R., Bond-Lamberty, B., Ciais, P., Zhao, F., Reyer, C. P. O., Ostberg, S., Chang, J., Ito, A., Yang, J., Zeng, N., Kalnay, E., West, T., Leng, G., Francois, L., Munhoven, G., Henrot, A., Tian, H., Pan, S., Nishina, K., Viovy, N., Morfopoulos, C., Betts, R., Schaphoff, S., Steinkamp, J., Hickler, T. 2017. Regional contribution to variability and trends of global gross primary productivity. Environmental Research Letters. 12(10), 105005. DOI: 10.1088/1748-9326/aa8978
Gulbeyaz, O., Bond-Lamberty, B., Akyurek, Z., West, T. O. 2018. A new approach to evaluate the MODIS annual NPP product (MOD17A3) using forest field data from Turkey. International Journal of Remote Sensing. 39(8), 2560-2578. DOI: 10.1080/01431161.2018.1430913
Luo, Y., Ahlstrom, A., Allison, S. D., Batjes, N. H., Brovkin, V., Carvalhais, N., Chappell, A., Ciais, P., Davidson, E. A., Finzi, A., Georgiou, K., Guenet, B., Hararuk, O., Harden, J. W., He, Y., Hopkins, F., Jiang, L., Koven, C., Jackson, R. B., Jones, C. D., Lara, M. J., Liang, J., McGuire, A. D., Parton, W., Peng, C., Randerson, J. T., Salazar, A., Sierra, C. A., Smith, M. J., Tian, H., Todd-Brown, K. E. O., Torn, M., Groenigen, K. J., Wang, Y. P., West, T. O., Wei, Y., Wieder, W. R., Xia, J., Xu, X., Xu, X., Zhou, T. 2016. Toward more realistic projections of soil carbon dynamics by Earth system models. Global Biogeochemical Cycles. 30(1), 40-56. DOI: 10.1002/2015GB005239
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
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
Wolf, J., Asrar, G. R., West, T. O. 2017. Revised methane emissions factors and spatially distributed annual carbon fluxes for global livestock. Carbon Balance and Management. 12(1). DOI: 10.1186/s13021-017-0084-y
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
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
Chen, J. M., Fung, J. W., Mo, G., Deng, F., West, T. O. 2015. Atmospheric inversion of surface carbon flux with consideration of the spatial distribution of US crop production and consumption. Biogeosciences. 12(2), 323-343. DOI: 10.5194/bg-12-323-2015
King, A. W., Andres, R. J., Davis, K. J., Hafer, M., Hayes, D. J., Huntzinger, D. N., de Jong, B., Kurz, W. A., McGuire, A. D., Vargas, R., Wei, Y., West, T. O., Woodall, C. W. 2015. North America's net terrestrial CO<sub>2</sub> exchange with the atmosphere 1990-2009. Biogeosciences. 12(2), 399-414. DOI: 10.5194/bg-12-399-2015
Zhang, X., Izaurralde, R. C., Manowitz, D. H., Sahajpal, R., West, T. O., Thomson, A. M., Xu, M., Zhao, K., LeDuc, S. D., Williams, J. R. 2015. Regional scale cropland carbon budgets: Evaluating a geospatial agricultural modeling system using inventory data. Environmental Modelling & Software. 63, 199-216. DOI: 10.1016/j.envsoft.2014.10.005
2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
- Agricultural Green Revolution as a driver of increasing atmospheric CO2 seasonal amplitude
-- (Ning Zeng, Fang Zhao, George James Collatz, Eugenia Kalnay, Ross Salawitch, Tristram O. West, Guanter Luiz, Ghassem Asrar)
[abstract]
More details may be found in the following project profile(s):
