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231224s2016 xx |||||o 00| ||eng c |
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|a 10.1111/gcb.13341
|2 doi
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|a pubmed24n0868.xml
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|a (DE-627)NLM260404926
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|a (NLM)27185532
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Gerber, James S
|e verfasserin
|4 aut
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|a Spatially explicit estimates of N2 O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management
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|c 2016
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 23.08.2017
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|a Date Revised 02.12.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2016 John Wiley & Sons Ltd.
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|a With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2 O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2 O emissions at the country scale by aggregating all crops, under the assumption that N2 O emissions are linearly related to N application. However, field studies and meta-analyses indicate a nonlinear relationship, in which N2 O 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 N2 O emissions from croplands. We estimate 0.66 Tg of N2 O-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 N2 O 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 N2 O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2 O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high-resolution N application data are critical to support accurate N2 O emissions estimates
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|a Journal Article
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|a N2O
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|a climate change
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|a emissions
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|a flooded rice
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|a greenhouse gas
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|a manure
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|a meta-analysis
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|a nitrogen
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|a nitrous oxide
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|a sustainable agriculture
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|a Fertilizers
|2 NLM
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|a Nitrous Oxide
|2 NLM
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|a K50XQU1029
|2 NLM
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|a Nitrogen Dioxide
|2 NLM
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|a S7G510RUBH
|2 NLM
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|a Carlson, Kimberly M
|e verfasserin
|4 aut
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|a Makowski, David
|e verfasserin
|4 aut
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|a Mueller, Nathaniel D
|e verfasserin
|4 aut
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|a Garcia de Cortazar-Atauri, Iñaki
|e verfasserin
|4 aut
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|a Havlík, Petr
|e verfasserin
|4 aut
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|a Herrero, Mario
|e verfasserin
|4 aut
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|a Launay, Marie
|e verfasserin
|4 aut
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|a O'Connell, Christine S
|e verfasserin
|4 aut
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|a Smith, Pete
|e verfasserin
|4 aut
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|a West, Paul C
|e verfasserin
|4 aut
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773 |
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|i Enthalten in
|t Global change biology
|d 1999
|g 22(2016), 10 vom: 17. Okt., Seite 3383-94
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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|g volume:22
|g year:2016
|g number:10
|g day:17
|g month:10
|g pages:3383-94
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|u http://dx.doi.org/10.1111/gcb.13341
|3 Volltext
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|d 22
|j 2016
|e 10
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|c 10
|h 3383-94
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