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dc.contributor.authorStehfest, Elkeen
dc.contributor.authorvan Zeist, Willem-Janen
dc.contributor.authorValin, Hugoen
dc.contributor.authorHavlik, Petren
dc.contributor.authorPopp, Alexanderen
dc.contributor.authorKyle, Pageen
dc.contributor.authorTabeau, Andrzejen
dc.contributor.authorMason-D’Croz, Danielen
dc.contributor.authorHasegawa, Tomokoen
dc.contributor.authorBodirsky, Benjamin L.en
dc.contributor.authorCalvin, Katherineen
dc.contributor.authorDoelman, Jonathan C.en
dc.contributor.authorFujimori, Shinichiroen
dc.contributor.authorHumpenöder, Florianen
dc.contributor.authorLotze-Campen, Hermannen
dc.contributor.authorvan Meijl, Hansen
dc.contributor.authorWiebe, Keithen
dc.contributor.alternative長谷川, 知子ja
dc.contributor.alternative藤森, 真一郎ja
dc.date.accessioned2020-03-31T10:00:02Z-
dc.date.available2020-03-31T10:00:02Z-
dc.date.issued2019-05-15-
dc.identifier.issn2041-1723-
dc.identifier.urihttp://hdl.handle.net/2433/250071-
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.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.rights© The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectClimate-change mitigationen
dc.subjectEnvironmental impacten
dc.subjectSocioeconomic scenariosen
dc.titleKey determinants of global land-use projectionsen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleNature Communicationsen
dc.identifier.volume10-
dc.relation.doi10.1038/s41467-019-09945-w-
dc.textversionpublisher-
dc.identifier.artnum2166-
dc.identifier.pmid31092816-
dcterms.accessRightsopen access-
出現コレクション:学術雑誌掲載論文等

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