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Activity data on crop management define uncertainty of CH$_4$ and N$_2$O emission estimates from rice: A case study of Vietnam

Butterbach-Bahl, Klaus 1; Kraus, David ORCID iD icon 1; Kiese, Ralf ORCID iD icon 1; Mai, Van Trinh; Nguyen, Tanh 1; Sander, Björn Ole; Wassmann, Reiner 1; Werner, Christian 1
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Background: Globally, rice systems are a major source of atmospheric CH$_4$ and for major rice-producing countries, such as Vietnam, CH$_4$ as well as N$_2$O emissions from agricultural land used for rice production may represent about one-fourth of total national anthropogenic greenhouse gas (GHG) emissions. However, national-scale estimates of GHG emissions from rice systems are uncertain with regard to its magnitude, spatial distribution, and seasonality.
Aims: Here, we used the biogeochemical model LandscapeDNDC to calculate emissions of CH$_4$ and N$_2$O from rice systems in Vietnam (Tier 3 IPCC approach). Our objectives were to identify hotspot regions of emissions and to assess the contribution of N$_2$O to the total non-CO$_2$ (CH$_4$+N$_2$O) GHG balance of rice systems as well as the seasonal and interannual variability of fluxes in dependence of uncertain input data on field management .
Methods: The biogeochemical model LandscapeDNDC model was linked to publicly available information on climate, soils, and land management (fertilization, irrigation, crop rotation) for calculating a national inventory in daily time steps of CH$_4$ and N$_2$O emissions from rice systems at a spatial resolution of 0.083° × 0.083°. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000153289
Veröffentlicht am 01.12.2022
Originalveröffentlichung
DOI: 10.1002/jpln.202200382
Scopus
Zitationen: 2
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1436-8730, 0044-3263, 0366-2136, 0372-851X, 0372-9702, 0932-6987, 0932-6995, 1522-2624
KITopen-ID: 1000153289
HGF-Programm 12.11.23 (POF IV, LK 01) Adaptation of managed landscapes to climate change
Erschienen in Journal of Plant Nutrition and Soil Science
Verlag Wiley-VCH Verlag
Band 185
Heft 6
Seiten 793-806
Vorab online veröffentlicht am 14.11.2022
Schlagwörter biogeochemical modeling, field management, rice systems, soil CH4 and N2O emissions, uncertainty assessment
Nachgewiesen in Web of Science
Dimensions
Scopus
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