Projecting Global and Regional Forest Area under the Shared Socioeconomic Pathways Using an Updated Environmental Kuznets Curve Model
| Autor: | Prakash Nepal, Jeffrey P. Prestemon, Jaana Korhonen, Frederick W. Cubbage |
|---|---|
| Přispěvatelé: | Department of Forest Sciences, Helsinki Institute of Sustainability Science (HELSUS), Forest Bioeconomy, Business and Sustainability, Forest Economics, Business and Society |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
forest sector policy
010504 meteorology & atmospheric sciences Natural resource economics Climate change 01 natural sciences BIOMASS Kuznets curve Deforestation 11. Sustainability Environmental Kuznets Curve shared socioeconomic pathways Socioeconomic status 0105 earth and related environmental sciences 040101 forestry forest sector modeling Biomass (ecology) 4112 Forestry Social change 1. No poverty Forestry 04 agricultural and veterinary sciences lcsh:QK900-989 15. Life on land Forest resource Geography 13. Climate action global forest area projections lcsh:Plant ecology 0401 agriculture forestry and fisheries GROWTH DEFORESTATION Rural population |
| Zdroj: | Forests Volume 10 Issue 5 Forests, Vol 10, Iss 5, p 387 (2019) |
| ISSN: | 1999-4907 |
| DOI: | 10.3390/f10050387 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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