Multimodel evaluation of nitrous oxide emissions from anintensively managed grassland

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cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationETH Zürichen
cg.contributor.affiliationKarlsruhe Institute of Technologyen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationAgroscopeen
cg.contributor.affiliationNational Research Council, Italyen
cg.contributor.affiliationUniversity of Florenceen
cg.contributor.affiliationUniversity of Aberdeenen
cg.contributor.affiliationScotland's Rural Collegeen
cg.contributor.affiliationInstitut National de la Recherche Agronomique, Franceen
cg.contributor.affiliationAgResearch, New Zealanden
cg.contributor.affiliationPotsdam Institute for Climate Impact Researchen
cg.contributor.crpClimate Change, Agriculture and Food Securityen
cg.contributor.donorSwiss National Science Foundationen
cg.contributor.donorEuropean Unionen
cg.contributor.donorMinistry of Primary Industries, New Zealanden
cg.contributor.donorMinistero delle politiche agricole alimentari e forestali, Italyen
cg.contributor.donorAgence Nationale de la Recherche, Franceen
cg.contributor.donorUK Research and Innovationen
cg.coverage.countrySwitzerlanden
cg.coverage.iso3166-alpha2CHen
cg.coverage.regionEuropeen
cg.coverage.regionWestern Europeen
cg.creator.identifierKathrin Fuchs: 0000-0003-1776-283Xen
cg.creator.identifierLutz Merbold: 0000-0003-4974-170Xen
cg.creator.identifierNina Buchmann: 0000-0003-0826-2980en
cg.creator.identifierLorenzo Brilli: 0000-0001-7527-4573en
cg.creator.identifierNuala Fitton: 0000-0001-7386-0472en
cg.creator.identifierCairistiona Topp: 0000-0002-7064-638Xen
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1029/2019jg005261en
cg.isijournalISI Journalen
cg.issn2169-8961en
cg.issue1en
cg.journalJournal of Geophysical Research: Biogeosciencesen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systemsen
cg.subject.ilriANIMAL FEEDINGen
cg.subject.ilriCLIMATE CHANGEen
cg.subject.ilriGHG EMISSIONSen
cg.subject.sdgSDG 13 - Climate actionen
cg.volume125en
dc.contributor.authorFuchs, K.en
dc.contributor.authorMerbold, Lutzen
dc.contributor.authorBuchmann, Ninaen
dc.contributor.authorBretscher, D.en
dc.contributor.authorBrilli, L.en
dc.contributor.authorFitton, N.en
dc.contributor.authorTopp, C.F.E.en
dc.contributor.authorKlumpp, K.en
dc.contributor.authorLieffering, M.en
dc.contributor.authorMartin, R.en
dc.contributor.authorNewton, P.C.D.en
dc.contributor.authorRees, R.M.en
dc.contributor.authorRolinski, S.en
dc.contributor.authorSmith, P.en
dc.contributor.authorSnow, V.en
dc.date.accessioned2022-10-27T08:28:26Zen
dc.date.available2022-10-27T08:28:26Zen
dc.identifier.urihttps://hdl.handle.net/10568/125184
dc.titleMultimodel evaluation of nitrous oxide emissions from anintensively managed grasslanden
dcterms.abstractProcess‐based models are useful for assessing the impact of changing management practices and climate on yields and greenhouse gas (GHG) emissions from agricultural systems such as grasslands. They can be used to construct national GHG inventories using a Tier 3 approach. However, accurate simulations of nitrous oxide (N2O) fluxes remain challenging. Models are limited by our understanding of soil‐plant‐microbe interactions and the impact of uncertainty in measured input parameters on simulated outputs. To improve model performance, thorough evaluations against in situ measurements are needed. Experimental data of N2O emissions under two management practices (control with typical fertilization versus increased clover and no fertilization) were acquired in a Swiss field experiment. We conducted a multimodel evaluation with three commonly used biogeochemical models (DayCent in two variants, PaSim, APSIM in two variants) comparing four years of data. DayCent was the most accurate model for simulating N2O fluxes on annual timescales, while APSIM was most accurate for daily N2O fluxes. The multimodel ensemble average reduced the error in estimated annual fluxes by 41% compared to an estimate using the Intergovernmental Panel on Climate Change (IPCC)‐derived method for the Swiss agricultural GHG inventory (IPCC‐Swiss), but individual models were not systematically more accurate than IPCC‐Swiss. The model ensemble overestimated the N2O mitigation effect of the clover‐based treatment (measured: 39–45%; ensemble: 52–57%) but was more accurate than IPCC‐Swiss (IPCC‐Swiss: 72–81%). These results suggest that multimodel ensembles are valuable for estimating the impact of climate and management on N2O emissions.en
dcterms.accessRightsOpen Accessen
dcterms.audienceAcademicsen
dcterms.audienceCGIARen
dcterms.audienceDonorsen
dcterms.audienceScientistsen
dcterms.available2020-01-21en
dcterms.bibliographicCitationFuchs, K., Merbold, L., Buchmann, N., Bretscher, D., Brilli, L., Fitton, N., Topp, C.F.E., Klumpp, K., Lieffering, M., Martin, R., Newton, P.C.D., Rees, R.M., Rolinski, S., Smith, P. and Snow, V. 2020. Multimodel evaluation of nitrous oxide emissions from anintensively managed grassland. Journal of Geophysical Research: Biogeosciences 125(1): e2019JG005261.en
dcterms.issued2020-01en
dcterms.languageenen
dcterms.licenseCC-BY-NC-4.0en
dcterms.publisherAmerican Geophysical Unionen
dcterms.subjectclimate changeen
dcterms.subjectbiogeochemical cycleen
dcterms.subjectgreenhouse gas emissionsen
dcterms.subjectnitrous oxideen
dcterms.typeJournal Articleen

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