Key determinants of global land-use projections

dc.bibliographicCitation.firstPage2166
dc.bibliographicCitation.volume10
dc.contributor.authorStehfest, Elke
dc.contributor.authorvan Zeist, Willem-Jan
dc.contributor.authorValin, Hugo
dc.contributor.authorHavlik, Petr
dc.contributor.authorPopp, Alexander
dc.contributor.authorKyle, Page
dc.contributor.authorTabeau, Andrzej
dc.contributor.authorMason-D’Croz, Daniel
dc.contributor.authorHasegawa, Tomoko
dc.contributor.authorBodirsky, Benjamin L.
dc.contributor.authorCalvin, Katherine
dc.contributor.authorDoelman, Jonathan C.
dc.contributor.authorFujimori, Shinichiro
dc.contributor.authorHumpenöder, Florian
dc.contributor.authorLotze-Campen, Hermann
dc.contributor.authorvan Meijl, Hans
dc.contributor.authorWiebe, Keith
dc.date.accessioned2022-10-24T07:53:25Z
dc.date.available2022-10-24T07:53:25Z
dc.date.issued2019
dc.description.abstractLand use is at the core of various sustainable development goals. Long-term climate foresight studies have structured their recent analyses around five socio-economic pathways (SSPs), with consistent storylines of future macroeconomic and societal developments; however, model quantification of these scenarios shows substantial heterogeneity in land-use projections. Here we build on a recently developed sensitivity approach to identify how future land use depends on six distinct socio-economic drivers (population, wealth, consumption preferences, agricultural productivity, land-use regulation, and trade) and their interactions. Spread across models arises mostly from diverging sensitivities to long-term drivers and from various representations of land-use regulation and trade, calling for reconciliation efforts and more empirical research. Most influential determinants for future cropland and pasture extent are population and agricultural efficiency. Furthermore, land-use regulation and consumption changes can play a key role in reducing both land use and food-security risks, and need to be central elements in sustainable development strategies.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/10320
dc.identifier.urihttp://dx.doi.org/10.34657/9356
dc.language.isoeng
dc.publisher[London] : Nature Publishing Group UK
dc.relation.doihttps://doi.org/10.1038/s41467-019-09945-w
dc.relation.essn2041-1723
dc.relation.ispartofseriesNature Communications 10 (2019)eng
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectfood securityeng
dc.subjectheterogeneityeng
dc.subjectland use changeeng
dc.subjectmacroeconomicseng
dc.subjectnumerical modeleng
dc.subjectpastureeng
dc.subjectrisk assessmenteng
dc.subjectsustainable developmenteng
dc.subjectcroplandeng
dc.subjectdrivereng
dc.subjectempirical researcheng
dc.subjecthumaneng
dc.subjectproductivityeng
dc.subject.ddc500eng
dc.titleKey determinants of global land-use projectionseng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleNature Communicationseng
tib.accessRightsopenAccess
wgl.contributorPIK
wgl.subjectUmweltwissenschaften
wgl.typeZeitschriftenartikel
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