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Spatially explicit estimates of N2O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management.

Authors :
Gerber, James S.
Carlson, Kimberly M.
Makowski, David
Mueller, Nathaniel D.
Garcia de Cortazar‐Atauri, Iñaki
Havlík, Petr
Herrero, Mario
Launay, Marie
O'Connell, Christine S.
Smith, Pete
West, Paul C.
Source :
Global Change Biology. Oct2016, Vol. 22 Issue 10, p3383-3394. 12p.
Publication Year :
2016

Abstract

With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2O emissions at the country scale by aggregating all crops, under the assumption that N2O emissions are linearly related to N application. However, field studies and meta-analyses indicate a nonlinear relationship, in which N2O emissions are relatively greater at higher N application rates. Here, we apply a super-linear emissions response model to crop-specific, spatially explicit synthetic N fertilizer and manure N inputs to provide subnational accounting of global N2O emissions from croplands. We estimate 0.66 Tg of N2O-N direct global emissions circa 2000, with 50% of emissions concentrated in 13% of harvested area. Compared to estimates from the IPCC Tier 1 linear model, our updated N2O emissions range from 20% to 40% lower throughout sub-Saharan Africa and Eastern Europe, to >120% greater in some Western European countries. At low N application rates, the weak nonlinear response of N2O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high-resolution N application data are critical to support accurate N2O emissions estimates. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13541013
Volume :
22
Issue :
10
Database :
Academic Search Index
Journal :
Global Change Biology
Publication Type :
Academic Journal
Accession number :
117745940
Full Text :
https://doi.org/10.1111/gcb.13341