Nature Communications (May 2019)
Key determinants of global land-use projections
- Elke Stehfest,
- Willem-Jan van Zeist,
- Hugo Valin,
- Petr Havlik,
- Alexander Popp,
- Page Kyle,
- Andrzej Tabeau,
- Daniel Mason-D’Croz,
- Tomoko Hasegawa,
- Benjamin L. Bodirsky,
- Katherine Calvin,
- Jonathan C. Doelman,
- Shinichiro Fujimori,
- Florian Humpenöder,
- Hermann Lotze-Campen,
- Hans van Meijl,
- Keith Wiebe
Affiliations
- Elke Stehfest
- PBL Netherlands Environmental Assessment Agency
- Willem-Jan van Zeist
- PBL Netherlands Environmental Assessment Agency
- Hugo Valin
- International Institute for Applied System Analysis (IIASA)
- Petr Havlik
- International Institute for Applied System Analysis (IIASA)
- Alexander Popp
- Potsdam Institute for Climate Impact Research (PIK)
- Page Kyle
- Joint Global Change Research Institute, Pacific Northwest National Laboratory
- Andrzej Tabeau
- Wageningen Economic Research, Wageningen University and Research
- Daniel Mason-D’Croz
- International Food Policy Research Institute (IFPRI)
- Tomoko Hasegawa
- International Institute for Applied System Analysis (IIASA)
- Benjamin L. Bodirsky
- Potsdam Institute for Climate Impact Research (PIK)
- Katherine Calvin
- Joint Global Change Research Institute, Pacific Northwest National Laboratory
- Jonathan C. Doelman
- PBL Netherlands Environmental Assessment Agency
- Shinichiro Fujimori
- International Institute for Applied System Analysis (IIASA)
- Florian Humpenöder
- Potsdam Institute for Climate Impact Research (PIK)
- Hermann Lotze-Campen
- Potsdam Institute for Climate Impact Research (PIK)
- Hans van Meijl
- Wageningen Economic Research, Wageningen University and Research
- Keith Wiebe
- International Food Policy Research Institute (IFPRI)
- DOI
- https://doi.org/10.1038/s41467-019-09945-w
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 10
Abstract
There lacks model comparison of global land use change projections. Here the authors explored how different long-term drivers determine land use and food availability projections and they showed that the key determinants population growth and improvements in agricultural efficiency.
