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231225s2018 xx |||||o 00| ||eng c |
| 024 |
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|a 10.1111/gcb.13966
|2 doi
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|a pubmed24n0927.xml
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|a (DE-627)NLM278370756
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|a (NLM)29171128
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Wang, Yajing
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Soil pH as the chief modifier for regional nitrous oxide emissions
|b New evidence and implications for global estimates and mitigation
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| 264 |
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1 |
|c 2018
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 31.10.2018
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|a Date Revised 31.10.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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| 520 |
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|a © 2017 John Wiley & Sons Ltd.
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|a Nitrous oxide (N2 O) is a greenhouse gas that also plays the primary role in stratospheric ozone depletion. The use of nitrogen fertilizers is known as the major reason for atmospheric N2 O increase. Empirical bottom-up models therefore estimate agricultural N2 O inventories using N loading as the sole predictor, disregarding the regional heterogeneities in soil inherent response to external N loading. Several environmental factors have been found to influence the response in soil N2 O emission to N fertilization, but their interdependence and relative importance have not been addressed properly. Here, we show that soil pH is the chief factor explaining regional disparities in N2 O emission, using a global meta-analysis of 1,104 field measurements. The emission factor (EF) of N2 O increases significantly (p < .001) with soil pH decrease. The default EF value of 1.0%, according to IPCC (Intergovernmental Panel on Climate Change) for agricultural soils, occurs at soil pH 6.76. Moreover, changes in EF with N fertilization (i.e. ΔEF) is also negatively correlated (p < .001) with soil pH. This indicates that N2 O emission in acidic soils is more sensitive to changing N fertilization than that in alkaline soils. Incorporating our findings into bottom-up models has significant consequences for regional and global N2 O emission inventories and reconciling them with those from top-down models. Moreover, our results allow region-specific development of tailor-made N2 O mitigation measures in agriculture
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4 |
|a Journal Article
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4 |
|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a emission factor
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| 650 |
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4 |
|a environmental factors
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| 650 |
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4 |
|a global meta-analysis
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| 650 |
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4 |
|a greenhouse gas estimate and mitigation
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| 650 |
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4 |
|a nitrous oxide
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| 650 |
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4 |
|a nonlinearity coefficient
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| 650 |
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4 |
|a soil pH
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| 650 |
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|a Fertilizers
|2 NLM
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| 650 |
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7 |
|a Soil
|2 NLM
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| 650 |
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|a Nitrous Oxide
|2 NLM
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| 650 |
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7 |
|a K50XQU1029
|2 NLM
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| 650 |
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7 |
|a Nitrogen
|2 NLM
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| 650 |
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7 |
|a N762921K75
|2 NLM
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| 700 |
1 |
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|a Guo, Jingheng
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Vogt, Rolf David
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mulder, Jan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Jingguo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Xiaoshan
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Global change biology
|d 1999
|g 24(2018), 2 vom: 09. Feb., Seite e617-e626
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
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| 773 |
1 |
8 |
|g volume:24
|g year:2018
|g number:2
|g day:09
|g month:02
|g pages:e617-e626
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| 856 |
4 |
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|u http://dx.doi.org/10.1111/gcb.13966
|3 Volltext
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|a GBV_ILN_350
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|a AR
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|d 24
|j 2018
|e 2
|b 09
|c 02
|h e617-e626
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