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dc.contributor.authorSándor, R.
dc.contributor.authorEhrhardt, F.
dc.contributor.authorBasso, B
dc.contributor.authorBellocchi, G.
dc.contributor.authorBhatia, A
dc.contributor.authorBrilli, L.
dc.contributor.authorDe Antoni Migliorati, M.
dc.contributor.authorDoltra, J
dc.contributor.authorDorich, C.
dc.contributor.authorDoro, L.
dc.contributor.authorFitton, N.
dc.contributor.authorGiacomini, S. J.
dc.contributor.authorGrace, P
dc.contributor.authorGrant, B.
dc.contributor.authorHarrison, M. T.
dc.contributor.authorJones, S.
dc.contributor.authorKirschbaum, M. U. F.
dc.contributor.authorKlumpp, Katja
dc.contributor.authorLaville, P
dc.contributor.authorLéonard, J.
dc.contributor.authorLiebig, M.
dc.contributor.authorLieffering, M.
dc.contributor.authorMartin, R.
dc.contributor.authorMcAuliffe, R.
dc.contributor.authorMeier, E.
dc.contributor.authorMerbold, L.
dc.contributor.authorMoore, A.
dc.contributor.authorMyrgiotis, V.
dc.contributor.authorNewton, P.
dc.contributor.authorPattey, E.
dc.contributor.authorRecous, S.
dc.contributor.authorRolinski, S.
dc.contributor.authorSharp, J.
dc.contributor.authorMassad, R. S.
dc.contributor.authorSmith, P.
dc.contributor.authorSmith, W.
dc.contributor.authorSnow, V.
dc.contributor.authorWu, L.
dc.contributor.authorZhang, Q.
dc.contributor.authorSousanna, J. F.
dc.date.accessioned2017-04-28T23:01:40Z
dc.date.available2017-04-28T23:01:40Z
dc.date.issued2016-11
dc.identifier.citationSándor , R , Ehrhardt , F , Basso , B , Bellocchi , G , Bhatia , A , Brilli , L , De Antoni Migliorati , M , Doltra , J , Dorich , C , Doro , L , Fitton , N , Giacomini , S J , Grace , P , Grant , B , Harrison , M T , Jones , S , Kirschbaum , M U F , Klumpp , K , Laville , P , Léonard , J , Liebig , M , Lieffering , M , Martin , R , McAuliffe , R , Meier , E , Merbold , L , Moore , A , Myrgiotis , V , Newton , P , Pattey , E , Recous , S , Rolinski , S , Sharp , J , Massad , R S , Smith , P , Smith , W , Snow , V , Wu , L , Zhang , Q & Sousanna , J F 2016 , ' C and N models Intercomparison – benchmark and ensemble model estimates for grassland production ' Advances in Animal Biosciences , vol. 7 , no. 3 , pp. 245-247 . https://doi.org/10.1017/S2040470016000297en
dc.identifier.issn2040-4700
dc.identifier.otherPURE: 72762434
dc.identifier.otherPURE UUID: 4a954918-0f50-42ef-a966-2f591cba8d58
dc.identifier.urihttp://hdl.handle.net/2164/8572
dc.descriptionThis research was performed within the Global Research Alliance on Agricultural Greenhouse Gases initiative with the support of FACCE-JPI projects CN-MIP and Models4Pastures.en
dc.format.extent2en
dc.language.isoeng
dc.relation.ispartofAdvances in Animal Biosciencesen
dc.rightsThis article has been published in a revised form in Advances in Animal Biosciences https://doi.org/10.1017/S2040470016000297. This version is free to view and download for private research and study only. Not for re-distribution, re-sale or use in derivative works. © The Animal Consortium 2016en
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleC and N models Intercomparison – benchmark and ensemble model estimates for grassland productionen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen, Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen, Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen, Energyen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1017/S2040470016000297
dc.date.embargoedUntil28-04-20


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