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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.extent2
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.contributor.institutionUniversity of Aberdeen.Earth Systems and Environmental Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1017/S2040470016000297
dc.date.embargoedUntil2017-04-28


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