Data-driven estimates of global nitrous oxide emissions from croplands

16578 8 90898 2 263304 document 90898 nwz087.pdf application/pdf 2b7c1b53f5bb9600230e5d43aff581e2 MD5 1670302 2020-07-21 15:20:36 https://pure.iiasa.ac.at/id/eprint/16578/1/nwz087.pdf 16578 1 1 application/pdf text en public cc_by_4

nwz087.pdf

published 90899 1 263320 document 90899 indexcodes.txt text/x-c 8e22dbeecf95775ef55d9f7302854ee2 MD5 13063 2020-07-21 15:30:33 https://pure.iiasa.ac.at/id/eprint/16578/2/indexcodes.txt 16578 2 2 text/x-c other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/90898 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/90898 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/90898 archive 353 disk0/00/01/65/78 2020-07-21 15:22:31 2021-08-27 17:33:17 2020-07-21 15:22:31 article show Tao S. Piao S. Canadell J.G. Cui X. Tian H. Janssens-Maenhout G. Tubiello F.N. Jackson R.B. Winiwarter W. 1775 0000-0001-7131-1496 Ciais P. Shang Z. Zhou F. Wang Q. Data-driven estimates of global nitrous oxide emissions from croplands pub prog_air Nitrous Oxide Production; Nitrification Inhibitor; Soil Emission Croplands are the single largest anthropogenic source of nitrous oxide (N2O) globally, yet their estimates remain difficult to verify when using Tier 1 and 3 methods of the Intergovernmental Panel on Climate Change (IPCC). Here, we re-evaluate global cropland-N2O emissions in 1961–2014, using N-rate-dependent emission factors (EFs) upscaled from 1206 field observations in 180 global distributed sites and high-resolution N inputs disaggregated from sub-national surveys covering 15593 administrative units. Our results confirm IPCC Tier 1 default EFs for upland crops in 1990–2014, but give a ∼15% lower EF in 1961–1989 and a ∼67% larger EF for paddy rice over the full period. Associated emissions (0.82 ± 0.34 Tg N yr–1) are probably one-quarter lower than IPCC Tier 1 global inventories but close to Tier 3 estimates. The use of survey-based gridded N-input data contributes 58% of this emission reduction, the rest being explained by the use of observation-based non-linear EFs. We conclude that upscaling N2O emissions from site-level observations to global croplands provides a new benchmark for constraining IPCC Tier 1 and 3 methods. The detailed spatial distribution of emission data is expected to inform advancement towards more realistic and effective mitigation pathways. 2020-02 published Oxford Academic 10.1093/nsr/nwz087 335 public National Science Review 7 2 441-452 TRUE 2095-5138 FALSE no info:eu-repo/semantics/article