A new climate dataset for systematic assessments of climate change impacts as a function of global warming

dc.bibliographicCitation.firstPage1297eng
dc.bibliographicCitation.issue5eng
dc.bibliographicCitation.lastPage1322eng
dc.bibliographicCitation.volume5
dc.contributor.authorHeinke, J.
dc.contributor.authorOstberg, S.
dc.contributor.authorSchaphoff, S.
dc.contributor.authorFrieler, K.
dc.contributor.authorMüller, C.
dc.contributor.authorGerten, D.
dc.contributor.authorMeinshausen, M.
dc.contributor.authorLucht, W.
dc.date.accessioned2018-11-22T17:16:52Z
dc.date.available2019-06-26T17:17:49Z
dc.date.issued2012
dc.description.abstractInteractions between food demand, biomass energy and forest preservation are driving both food prices and land-use changes, regionally and globally. This study presents a new model called Nexus Land-Use version 1.0 which describes these interactions through a generic representation of agricultural intensification mechanisms within agricultural lands. The Nexus Land-Use model equations combine biophysics and economics into a single coherent framework to calculate crop yields, food prices, and resulting pasture and cropland areas within 12 regions inter-connected with each other by international trade. The representation of cropland and livestock production systems in each region relies on three components: (i) a biomass production function derived from the crop yield response function to inputs such as industrial fertilisers; (ii) a detailed representation of the livestock production system subdivided into an intensive and an extensive component, and (iii) a spatially explicit distribution of potential (maximal) crop yields prescribed from the Lund-Postdam-Jena global vegetation model for managed Land (LPJmL). The economic principles governing decisions about land-use and intensification are adapted from the Ricardian rent theory, assuming cost minimisation for farmers. In contrast to the other land-use models linking economy and biophysics, crops are aggregated as a representative product in calories and intensification for the representative crop is a non-linear function of chemical inputs. The model equations and parameter values are first described in details. Then, idealised scenarios exploring the impact of forest preservation policies or rising energy price on agricultural intensification are described, and their impacts on pasture and cropland areas are investigated.eng
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.identifier.urihttps://doi.org/10.34657/744
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/471
dc.language.isoengeng
dc.publisherMünchen : European Geopyhsical Unioneng
dc.relation.doihttps://doi.org/10.5194/gmd-6-1689-2013
dc.relation.ispartofseriesGeoscientific Model Development, Volume 5, Issue 5, Page 1297-1322eng
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subjectAgricultural intensificationeng
dc.subjectbiophysicseng
dc.subjectcrop yieldeng
dc.subjectdecision makingeng
dc.subjectenergy marketeng
dc.subjectfood marketeng
dc.subjectforest managementeng
dc.subjectland use changeeng
dc.subjectlivestockeng
dc.subjectnonlinearityeng
dc.subjectnumerical modeleng
dc.subjectparameterizationeng
dc.subjectprice dynamicseng
dc.subject.ddc550eng
dc.titleA new climate dataset for systematic assessments of climate change impacts as a function of global warmingeng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleGeoscientific Model Developmenteng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
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