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Soil N intensity as a measure to estimate annual N$_{2}$O and NO fluxes from natural and managed ecosystems

Yao, Zhisheng; Pelster, David E.; Liu, Chunyan; Zheng, Xunhua; Butterbach-Bahl, Klaus 1
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)


As natural and managed terrestrial ecosystems are major sources of the potent greenhouse gas nitrous oxide (N$_{2}$O) and of the atmospheric pollutant nitric oxide (NO), predicting the source strengths of these ecosystems is central to understanding and sustainably managing the N-oxides fluxes. Here we reviewed 82 high temporal resolution datasets on N$_{2}$O and 57 on NO fluxes collected from multi-site and multi-year field measurements, including grasslands, forests, and agricultural crops, to assess whether soil N intensity, that is, the time-weighted sum of soil NH$_{4}$$^{+}$ and/or NO$_{3}$$^{-}$ concentrations, can be used to estimate annual N-oxides emissions. We show that soil N intensity alone can accurately predict annual N$_{2}$O and NO emissions, and that the N$_{2}$O emission strength is exponentially related to the soil inorganic N load. Thus, measuring soil inorganic N loads should improve current estimates of N-oxide emissions from global terrestrial ecosystems, and open possibilities for monitoring N$_{2}$O mitigation efforts.

Verlagsausgabe §
DOI: 10.5445/IR/1000129645
Veröffentlicht am 12.02.2021
DOI: 10.1016/j.cosust.2020.03.008
Zitationen: 18
Web of Science
Zitationen: 17
Zitationen: 18
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2020
Sprache Englisch
Identifikator ISSN: 1877-3435
KITopen-ID: 1000129645
HGF-Programm 12.02.01 (POF III, LK 01) Effects of land use and climate change
Erschienen in Current opinion in environmental sustainability
Verlag Elsevier
Band 47
Seiten 1–6
Nachgewiesen in Dimensions
Web of Science
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