Land-use allocation/References

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).

Cengic et al., 2020
Mirza Čengić, Jasmijn Rost, Daniela Remenska, Jan H. Janse, Mark A. J. Huijbregts, and Aafke M. Schipper (2020). On the importance of predictor choice, modelling technique, and number of pseudo‐absences for bioclimatic envelope model performance. Ecology and Evolution, 10(21), pp. 12307–12317, doi: http://dx.doi.org/10.1002/ece3.6859.

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.

ESA, 2017
European Space Agency (2017). Climate Change Initiative (ESA-CCI) V2.0.7.European Space Agency.URL: https://maps.elie.ucl.ac.be/CCI/viewer/download.php

Goldewijk et al., 2017
K.K. Goldewijk, A. Beusen, J. Doelman, E. Stehfest (2017). Anthropogenic land use estimates for the Holocene - HYDE 3.2. Earth System Science Data, 9(2), pp. 927-953, doi: http://dx.doi.org/10.5194/essd-9-927-2017.

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.

Hurtt et al., 2020
George C. Hurtt, Louise Chini, Ritvik Sahajpal, Steve Frolking, Benjamin L. Bodirsky, Katherine Calvin, Jonathan C. Doelman, Justin Fisk, Shinichiro Fujimori, Kees Klein Goldewijk, Tomoko Hasegawa, Peter Havlik, Andreas Heinimann, Florian Humpenöder, Johan Jungclaus, Jed O. Kaplan, Jennifer Kennedy, Tamás Krisztin, David Lawrence, Peter Lawrence, Lei Ma, Ole Mertz, Julia Pongratz, Alexander Popp, Benjamin Poulter, Keywan Riahi, Elena Shevliakova, Elke Stehfest, Peter Thornton, Francesco N. Tubiello, Detlef P. van Vuuren, and Xin Zhang (2020). Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6. Geoscientific Model Development, 12, pp. 5425–5464, doi: http://dx.doi.org/https://doi.org/10.5194/gmd-13-5425-2020.

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/

IUCN, 2015
International Union for Conservation of Nature (2015). Annual Report 2015, International Union for Conservation of Nature, IUCN(URL: https://portals.iucn.org/library/sites/library/files/documents/2016-020.pdf).

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 Vuuren et al., 2021
Detlef van Vuuren, Elke Stehfest , David Gernaat, Harmen-Sytze de Boer , Vassilis Daioglou , Jonathan Doelman , Oreane Edelenbosch , Mathijs Harmsen , Willem-Jan van Zeist , Maarten van den Berg , Ioannis Dafnomilis , Mariesse van Sluisveld , Andrzej Tabeau , Lotte De Vos , Liesbeth de Waal, Nicole van den Berg , Arthur Beusen , Astrid Bos , Hester Biemans , Lex Bouwman , Hsing-Hsuan Chen, Sebastiaan Deetman , Anteneh Dagnachew , Andries Hof , Hans van Meijl , Johan Meyer, Stratos Mikropoulos, Mark Roelfsema , Aafke Schipper , Heleen Van Soest , Isabela Tagomori , Victhalia Zapata Castillo (2021). The 2021 SSP scenarios of the IMAGE 3.2 model, doi: http://dx.doi.org/https://doi.org/10.31223/X5CG92.