Land-use allocation/References

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Key publications

Doelman et al., 2018
J.C. Doelman, E. Stehfest, A. Tabeau, H. van Meijl, L. Lassaletta, K. Neumann-Hermans, D.E.H.J. Gernaat, M. Harmsen, V. Daioglou, H. Biemans, S. van der Sluis, D.P. van Vuuren (2018). Exploring SSP land-use dynamics using the IMAGE model: Regional and gridded scenarios of land-use change and land-based climate change mitigation. Global Environmental Change, 48(January), pp. 119-135, doi: http://dx.doi.org/10.1016/j.gloenvcha.2017.11.014.
Link to PBL-website: http://www.pbl.nl/en/publications/exploring-ssp-land-use-dynamics-using-the-image-model-regional-and-gridded-scenarios-of-land-use-change-and-land-ba.

Van Asselen and Verburg, 2012
Van Asselen, S. and Verburg P.H. (2012). A land system representation for global assessments and land-use modeling. Global Change Biology, 18, pp. 3125-3148, doi: http://dx.doi.org/10.1111/j.1365-2486.2012.02759.x.

All cited references

Alexandratos and Bruinsma, 2012
Nikos Alexandratos, J. Bruinsma (2012). World agriculture towards 2030/2050: the 2012 revision, FAO, Food and Agriculture Organization of the United Nations(URL: http://www.fao.org/economic/esa).

Doelman et al., 2018
J.C. Doelman, E. Stehfest, A. Tabeau, H. van Meijl, L. Lassaletta, K. Neumann-Hermans, D.E.H.J. Gernaat, M. Harmsen, V. Daioglou, H. Biemans, S. van der Sluis, D.P. van Vuuren (2018). Exploring SSP land-use dynamics using the IMAGE model: Regional and gridded scenarios of land-use change and land-based climate change mitigation. Global Environmental Change, 48(January), pp. 119-135, doi: http://dx.doi.org/10.1016/j.gloenvcha.2017.11.014.
Link to PBL-website: http://www.pbl.nl/en/publications/exploring-ssp-land-use-dynamics-using-the-image-model-regional-and-gridded-scenarios-of-land-use-change-and-land-ba.

Hansen et al., 2013
M.C. Hansen, P.V. Potapov, R. Moore, M. Hancher, S.A. Turubanova, A. Tyukavina, D. Thau, S.V. Stehman, S.J. Goetz, T.R. Loveland, A. Kommareddy, A. Egorov, L. P. Chini, C.O. Justice, J. R.G. Townshend (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342(6160), pp. 850-853.

Hurtt et al., 2011
G. C. Hurtt, L. P. Chini, S. Frolking, R. A. Betts, J. Feddema, G. Fischer, J. P. Fisk, K. Hibbard, R. A. Houghton, A. Janetos, C. D. Jones, G. Kindermann, T. Kinoshita, K. Klein Goldewijk, K. Riahi, E. Shevliakova, S. Smith, E. Stehfest, A. Thomson, P. Thornton, D. P. van Vuuren, Y. P. Wang (2011). Harmonization of land-use scenarios for the period 1500-2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Climatic Change, 109(1), pp. 117-161, doi: http://dx.doi.org/10.1007/s10584-011-0153-2.

IIASA and FAO, 2012
FAO IIASA (2012). Global Agro-ecological Zones (GAEZ v3.0).IIASA and FAO.URL: http://webarchive.iiasa.ac.at/Research/LUC/GAEZv3.0/

Klein Goldewijk et al., 2010
K. Klein Goldewijk, A. Beusen, P. Janssen (2010). Long-term dynamic modeling of global population and built-up area in a spatially explicit way: HYDE 3.1. Holocene, 20(4), pp. 565-573, doi: http://dx.doi.org/10.1177/0959683609356587.
Link to PBL-website: http://www.pbl.nl/en/publications/2010/Long-term-dynamic-modeling-of-global-population-and-built-up-area-in-a-spatially-explicit-way_-HYDE-3.1.

Klein Goldewijk et al., 2011
K. Klein Goldewijk, A. Beusen, G. Van Drecht, M. De Vos (2011). The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years. Global Ecology and Biogeography, 20(1), pp. 73-86, doi: http://dx.doi.org/10.1111/j.1466-8238.2010.00587.x.
Link to PBL-website: http://www.pbl.nl/en/publications/2010/The-HYDE-3.1-spatially-explicit-database-of-human-induced-global-land-use-change-over-the-past-12000-years.

Lambin et al., 2000
E.F. Lambin, M.D.A. Rounsevell, H.J. Geist (2000). Are agricultural land-use models able to predict changes in land-use intensity?. Agriculture, Ecosystems & Environment, 82(1-3), pp. 321-331.

Letourneau et al., 2012
A. Letourneau, P. H. Verburg, E. Stehfest (2012). A land-use systems approach to represent land-use dynamics at continental and global scales. Environmental Modelling and Software, 33, pp. 61-79, doi: http://dx.doi.org/10.1016/j.envsoft.2012.01.007.
Link to PBL-website: http://www.pbl.nl/en/publications/2012/a-land-use-systems-approach-to-represent-land-use-dynamics-at-continental-and-global-scales.

Nelson, 2008
A Nelson (2008). Estimated travel time to the nearest city of 50000 or more people in the year 2000.JRC.Ispra, Italy.Access date: 2013-10-03.URL: http://bioval.jrc.ec.europa.eu/products/gam/index.htm

O'Neill, 2013
B. O’Neill (2013). Socio-economic observations, scenarios, and their use in LUC models.

Siebert et al., 2005
S. Siebert, P. Döll, J. Hoogeveen, J. M. Faures, K. Frenken, S. Feick (2005). Development and validation of the global map of irrigation areas. Hydrology & Earth System Sciences Discussions, 2(4), doi: http://dx.doi.org/http://hal.archives-ouvertes.fr/docs/00/29/86/82/PDF/hessd-2-1299-2005.pdf.

UNEP, 2011
UNEP (2011). UNEP Bridging the gap report, United Nations Environment Programme (UNEP), United Nations Environment Programme (UNEP)(URL: http://www.unep.org/publications/ebooks/bridgingemissionsgap/).

Van Asselen and Verburg, 2013
S. Van Asselen, P.H. Verburg (2013). Land cover change or land-use intensification: simulating land system change with a global-scale land change model. Global Change Biology, 19(12), pp. 3648-3667, doi: http://dx.doi.org/10.1111/gcb.12331.