Articles | Volume 9, issue 1
https://doi.org/10.5194/essd-9-149-2017
https://doi.org/10.5194/essd-9-149-2017
20 Feb 2017
 | 20 Feb 2017

Reconstruction of spatially detailed global map of NH4+ and NO3 application in synthetic nitrogen fertilizer

Kazuya Nishina, Akihiko Ito, Naota Hanasaki, and Seiji Hayashi

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Cited articles

Bouwman, A.: Direct emission of nitrous oxide from agricultural soils, Nutr. Cycl. Agroecosys., 46, 53–70, 1996.
Bouwman, A., Boumans, L., and Batjes, N.: Estimation of global NH3 volatilization loss from synthetic fertilizers and animal manure applied to arable lands and grasslands, Global Biogeochem. Cy., 16, https://doi.org/10.1029/2000GB001389, 2002.
Bouwman, L., Goldewijk, K. K., Van Der Hoek, K. W., Beusen, A. H., Van Vuuren, D. P., Willems, J., Rufino, M. C., and Stehfest, E.: Exploring global changes in nitrogen and phosphorus cycles in agriculture induced by livestock production over the 1900–2050 period, P. Natl. Acad. Sci. USA, 110, 20882–20887, 2013.
Conant, R. T., Berdanier, A. B., and Grace, P. R.: Patterns and trends in nitrogen use and nitrogen recovery efficiency in world agriculture, Global Biogeochem. Cy., 27, 558–566, 2013.
Davidson, E. A.: The contribution of manure and fertilizer nitrogen to atmospheric nitrous oxide since 1860, Nat. Geosci., 2, 659–662, 2009.
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Short summary
Available historical global N fertilizer map as an input data to global biogeochemical model is still limited and existing maps were not considered NH4+ and NO3 in the fertilizer application rates. In our products, by utilizing national fertilizer species consumption data in FAOSTAT database, we succeeded to estimate the ratio of NH4+ to NO3 in the N fertilizer map. The products could be widely utilized for global N cycling studies.
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