Projecting Global and Regional Forest Area under the Shared Socioeconomic Pathways Using an Updated Environmental Kuznets Curve Model

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dc.contributor University of Helsinki, Department of Forest Sciences en
dc.contributor.author Nepal, Prakash
dc.contributor.author Korhonen, Jaana
dc.contributor.author Prestemon, Jeffrey
dc.contributor.author Cubbage, F.
dc.date.accessioned 2019-08-26T13:59:01Z
dc.date.available 2019-08-26T13:59:01Z
dc.date.issued 2019-05
dc.identifier.citation Nepal , P , Korhonen , J , Prestemon , J & Cubbage , F 2019 , ' Projecting Global and Regional Forest Area under the Shared Socioeconomic Pathways Using an Updated Environmental Kuznets Curve Model ' , Forests , vol. 10 , no. 5 , 387 . https://doi.org/10.3390/f10050387 en
dc.identifier.issn 1999-4907
dc.identifier.other PURE: 125078818
dc.identifier.other PURE UUID: c67b2e05-3881-4cda-b935-28e961cbf600
dc.identifier.other WOS: 000478814700026
dc.identifier.other ORCID: /0000-0001-9266-2260/work/61899261
dc.identifier.uri http://hdl.handle.net/10138/304948
dc.description.abstract Forest resources are critical to environmental, economic, and social development, and there is substantial interest in understanding how global forest area will evolve in the future. Using an Environmental Kuznets Curve (EKC) model of total forest area that we updated using more recent data sets, we projected forest area through 2100 in 168 countries using variables including income, rural population density, and the size of the labor force under different world visions drawn from alternative Intergovernmental Panel on Climate Change socioeconomic pathways (SSPs). Results provided support for the existence of an EKC for total forest area, with rural population density negatively affecting forest area and labor force size positively affecting forest area. The projections showed modest and continuous increases in global forest area in all the SSPs, but varying trends for major world regions, which is consistent with the projected trends from the explanatory variables in each country. Aggregate global forest area is projected to increase by 7% as of 2100 relative to 2015 levels in SSP3, which predicts a future with the lowest rate of economic growth, and by 36% in SSP5, which is a future with the highest rate of economic growth and greater economic equality across countries. The results show how projections driven only by income produce biased results compared to the projections made with an EKC that includes rural population density and labor force variables. en
dc.format.extent 14
dc.language.iso eng
dc.relation.ispartof Forests
dc.rights en
dc.subject 4112 Forestry en
dc.subject Environmental Kuznets Curve en
dc.subject shared socioeconomic pathways en
dc.subject global forest area projections en
dc.subject forest sector modeling en
dc.subject forest sector policy en
dc.subject DEFORESTATION en
dc.subject BIOMASS en
dc.subject GROWTH en
dc.title Projecting Global and Regional Forest Area under the Shared Socioeconomic Pathways Using an Updated Environmental Kuznets Curve Model en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.3390/f10050387
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/publishedVersion
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