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BORODINA Olena Mykolaivna1, KYRYZIUK S. 2, YAROVYI Victor 3, ERMOLIEV Yuri 4, ERMOLIEVA Tatiana 5
1Institute for Economics and Forecasting, NAS of Ukraine
2Institute for Economics and Forecasting, NAS of Ukraine
3Institute for Economics and Forecasting, NAS of Ukraine
4International Institute for Applied System Analysis
5International Institute for Applied System Analysis
Modeling local land uses under the global climate change
| Ekon. prognozuvannâ 2016; 1:117-128 | https://doi.org/10.15407/eip2016.01.117 |
ABSTRACT ▼
JEL: C18, Q15, Q54
| Article in Ukrainian (pp. 117 - 128) | Download | Downloads :1123 |
REFERENCES ▼
1. Agarwal, C., Green, G.M., Grove, J.M., Evans, T.P., Schweik, C.M. (2002). A Review and assessment of land-use change models: Dynamics of space, time, and human choice. General Technical Report NE-297. USDA Forest Service, 11 Campus B, Delaware, US. doi: doi.org/10.2737/ne-gtr-297
2. Britz, W., Verburg, P. H., Leip, A. (2011). Modelling of land cover and agricultural change in Europe: Combining the CLUE and CAPRI-Spat approaches. Agr. Ecosyst. Environ, 142, 40–50. doi: doi.org/10.1016/j.agee.2010.03.008
3. Chomitz, K. M., Gray, D. A. (1996). Roads, land use, and deforestation: a spatial model applied to Belize. World Bank Econ. Rev., 10, 487–512. doi: doi.org/10.1093/wber/10.3.487
4. Dietrich, J. P., Schmitz, C., Lotze-Campen, H., Popp, A., Müller, C. (2014). Forecasting technological change in agriculture - An endogenous implementation in a global land use model. Technol. Forecast. Soc., 81, 236–249. doi: doi.org/10.1016/j.techfore.2013.02.003
5. Heubes, J., Schmidt. M., Stuch. B., Márquez, J. R. G., Wittig, R., Zizka, G., Thiombiano, A., Sinsin, B., Schaldach, R., Hahn, K. (2013). The projected impact of climate and land use change on plant diversity: An example from West Africa. J. Arid Environ., 96, 48–54. doi: doi.org/10.1016/j.jaridenv.2013.04.008
6. Lambin, E. F., Meyfroidt, P. (2011). Global land use change, economic globalization, and the looming land scarcity. P. Natl. Acad. Sci. USA, 108, 3465–3472. doi: doi.org/10.1073/pnas.1100480108
7. Havlík, P., Schneider, U., Schmid, E., Bőttcher, H., Fritz, S., Skalsky, R., Aoki, K., De Cara, S., Kindermann, G, Kraxner, F., Leduc, S., McCallum, I., Mosnier, A., Sauer, T., Obersteiner, M. (2011). Global land-use implications of first and second generation biofuel targets. Energy policy, 39, 5690–5702. doi: doi.org/10.1016/j.enpol.2010.03.030
8. Zhang, X., Ermolieva, T., Balkovic, J., Mosnier, A., Kraxner, F., Liu, J. (2015) Recursive cross-entropy downscaling model for spatially explicit future land uses: A case study of the Heihe River Basin. Physics and Chemistry of the Earth, Parts A/B/C, 89–90:56–64. doi: doi.org/10.1016/j.pce.2015.05.007
9. Skalsky´, R., Tarasovicˇova´, Z., Balkovicˇ, J., Schmid, E., Fuchs, M., Moltchanova, E., Kindermann, G. and Scholtz, P. (2008). Geo-bene global database for bio-physical modeling v. 1.0. Concepts, methodologies and data. Technical Report, IIASA. Retrieved from www.geo-bene.eu/files/Deliverables/Geo-BeneGlbDb10(DataDescription).pdf
10. Chances for die-hard: energy future of lumber. Ukrainian arboriculturist. Retrieved from www.lesovod.org.ua/node/3014 [in Ukrainian].
11. Ministry of Agrarian Policy and Food with World Bank develop the Strategy of irrigation revitalization in the South of Ukraine. Retrieved from www.kmu.gov.ua/control/uk/publish/article?art_id=248828800&cat_id=244277212 [in Ukrainian].
2. Britz, W., Verburg, P. H., Leip, A. (2011). Modelling of land cover and agricultural change in Europe: Combining the CLUE and CAPRI-Spat approaches. Agr. Ecosyst. Environ, 142, 40–50. doi: doi.org/10.1016/j.agee.2010.03.008
3. Chomitz, K. M., Gray, D. A. (1996). Roads, land use, and deforestation: a spatial model applied to Belize. World Bank Econ. Rev., 10, 487–512. doi: doi.org/10.1093/wber/10.3.487
4. Dietrich, J. P., Schmitz, C., Lotze-Campen, H., Popp, A., Müller, C. (2014). Forecasting technological change in agriculture - An endogenous implementation in a global land use model. Technol. Forecast. Soc., 81, 236–249. doi: doi.org/10.1016/j.techfore.2013.02.003
5. Heubes, J., Schmidt. M., Stuch. B., Márquez, J. R. G., Wittig, R., Zizka, G., Thiombiano, A., Sinsin, B., Schaldach, R., Hahn, K. (2013). The projected impact of climate and land use change on plant diversity: An example from West Africa. J. Arid Environ., 96, 48–54. doi: doi.org/10.1016/j.jaridenv.2013.04.008
6. Lambin, E. F., Meyfroidt, P. (2011). Global land use change, economic globalization, and the looming land scarcity. P. Natl. Acad. Sci. USA, 108, 3465–3472. doi: doi.org/10.1073/pnas.1100480108
7. Havlík, P., Schneider, U., Schmid, E., Bőttcher, H., Fritz, S., Skalsky, R., Aoki, K., De Cara, S., Kindermann, G, Kraxner, F., Leduc, S., McCallum, I., Mosnier, A., Sauer, T., Obersteiner, M. (2011). Global land-use implications of first and second generation biofuel targets. Energy policy, 39, 5690–5702. doi: doi.org/10.1016/j.enpol.2010.03.030
8. Zhang, X., Ermolieva, T., Balkovic, J., Mosnier, A., Kraxner, F., Liu, J. (2015) Recursive cross-entropy downscaling model for spatially explicit future land uses: A case study of the Heihe River Basin. Physics and Chemistry of the Earth, Parts A/B/C, 89–90:56–64. doi: doi.org/10.1016/j.pce.2015.05.007
9. Skalsky´, R., Tarasovicˇova´, Z., Balkovicˇ, J., Schmid, E., Fuchs, M., Moltchanova, E., Kindermann, G. and Scholtz, P. (2008). Geo-bene global database for bio-physical modeling v. 1.0. Concepts, methodologies and data. Technical Report, IIASA. Retrieved from www.geo-bene.eu/files/Deliverables/Geo-BeneGlbDb10(DataDescription).pdf
10. Chances for die-hard: energy future of lumber. Ukrainian arboriculturist. Retrieved from www.lesovod.org.ua/node/3014 [in Ukrainian].
11. Ministry of Agrarian Policy and Food with World Bank develop the Strategy of irrigation revitalization in the South of Ukraine. Retrieved from www.kmu.gov.ua/control/uk/publish/article?art_id=248828800&cat_id=244277212 [in Ukrainian].
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