The Nexus Land-Use model version 1.0, an approach articulating biophysical potentials and economic dynamics to model competition for land-use

Geoscientific Model Development

Volumn 5, Issue 5, 2012, Pages 1297-1322

  Souty, F ^a,b   Brunelle, T ^a   Dumas, P ^a,c   Dorin, B ^a,c   Ciais, P ^b   Crassous, R ^a   Muller C ^d   Bondeau, A ^d,e  

^a Centre International de Recherche sur lEnvironnement et le Developpement   (France)

^b LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

^c CIRAD   (France)

^d POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^e AVIGNON UNIVERSITÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL INTENSIFICATION; BIOPHYSICS; CROP YIELD; DECISION MAKING; ENERGY MARKET; FOOD MARKET; FOREST MANAGEMENT; LAND USE CHANGE; LIVESTOCK; NONLINEARITY; NUMERICAL MODEL; PARAMETERIZATION; PRICE DYNAMICS;

EID: 84871233473     PISSN: 1991959X     EISSN: 19919603     Source Type: Journal    
DOI: 10.5194/gmd-5-1297-2012     Document Type: Article

References (44)

1. Baier, S., Clements, M., Griffiths, C., and Ihrig, J.: Biofuels impact on crop and food prices: using an interactive spreadsheet, International Finance Discussion Papers 967, Board of Governors of the Federal Reserve System (US), available at: http://www.federalreserve.gov/pubs/ifdp/2009/967/ifdp967.pdf (last access: 15 October 2012), 2009.
2. Bondeau, A., Smith, P. C., Saehle, S., Schaphoff, S., Lucht, W., Cramer, W., Gerten, D., Lotze-Campen, H., Müller, C., Reichstein, M., and Smith, B.: Modelling the role of agriculture for the 20th century global terrestrial carbon balance, Glob. Change Biol., 13, 679-706, doi:10.1111/j.1365-2486.2006. 01305.x, 2007.
3. Bouwman, A., der Hoek, K. V., Eickhout, B., and Soenario, I.: Exploring changes in world ruminant production systems, Agr. Systems, 84, 121-153, doi:10.1016/j.agsy.2004.05.006, 2005. (Pubitemid 40359342)
4. Brenkert, A., Kim, S., Smith, A., and Pitcher, H.: Model Documentation for the MiniCAM, Tech. Rep. PNNL- 14337, Pacific Northwest National Laboratory, available at: http://www.pnl.gov/main/publications/external/technical reports/PNNL-14337.pdf (last access: 15 October 2012), 2003.
5. Briassoulis, H.: Analysis of Land Use Change: Theoretical and Modeling Approaches, Ph.D. thesis, Department of Geography, University of the Aegean, Lesvos, Greece, available at: http://www.rri.wvu.edu/WebBook/Briassoulis/ contents.htm (last access: 15 October 2012), 2000.
6. Brisson, N., Gary, C., Justes, E., Roche, R., Mary, B., Ripoche, D., Zimmer, D., Sierra, J., Bertuzzi, P., Burger, P., Bussière, F., Cabidoche, Y. M., Cellier, P., Debaeke, P., Gaudillère, J. P., Hénault, C., Maraux, F., Seguin, B., and Sinoquet, H.: An overview of the crop model, Euro. J. Agron., 18, 309-332, doi:10.1016/S1161-0301(02)00110-7, 2003. (Pubitemid 36101019)
7. Chavas, J.-P.: On the economics of agricultural production, Aust. J. Agr. Resour. Econom., 52, 365-380, 2008.
8. Crassous, R., Hourcade, J.-C., and Sassi, O.: Endogenous Structural Change and Climate Targets Modeling Experiments with Imaclim-R, Energy J., 27, 259-276, 2006.
9. de Gouvello, C., Filho, B. S. S., Nassar, A., Schaeffer, R., Alves, F. J., and Alves, J. W. S.: Brazil Low-carbon Country Case Study, Tech. rep., The International Bank for Reconstruction and Development, The World Bank, available at: http://siteresources.worldbank.org/BRAZILEXTN/Resources/Brazil LowcarbonStudy.pdf (last access: 15 October 2012), 2010.
10. Decreux, Y. and Valin, H.: MIRAGE, Updated Version of the Model for Trade Policy Analysis: Focus on Agriculture and Dynamics, Working Papers 7284, TRADEAG - Agricultural Trade Agreements, available at: http://ageconsearch.umn. edu/bitstream/7284/2/wp070007.pdf (last access: 15 October 2012), 2007.
11. Demeke, M., Pangrazio, G., and Maetz, M.: Country responses to the food security crisis: Nature and preliminary implications of the policies pursued, Tech. rep., Food and Agriculture Organization of the United Nations, 2009.
12. Dorin, B.: Agribiom Caloric Balance Sheets, updated estimates from Paillard et al. 2011, 25-65, 2011.
13. Erb, K.-H., Gaube, V., Krausmann, F., Plutzar, C., Bondeau, A., and Haberl, H.: A comprehensive global 5 min resolution land-use data set for the year 2000 consistent with national census data, J. Land Use Sci., 2, 191-224, doi:10.1080/17474230701622981, 2007.
14. Fader, M., Rost, S., Müller, C., Bondeau, A., and Gerten, D.: Virtual water content of temperate cereals and maize: Present and potential future patterns, J. Hydrol., 384, 218-231, doi:10.1016/j.jhydrol.2009.12.011, 2010.
15. FAO, F.: Food Balance Sheets. A Handbook, Tech. rep., FAO, Rome, 2001.
16. FAO, F.: Statistical Database, available at: http://faostat.fao.org/(last access: 15 October 2012), 2010.
17. Francis, C., Lieblein, G., Gliessman, S., Breland, T. A., Creamer, N., Harwood, R., Salomonsson, L., Helenius, J., Rickerl, D., Salvador, R., Wiedenhoeft, M., Simmons, S., Allen, P., Altieri, M., Flora, C., and Poincelot, R.: Agroecology: The Ecology of Food Systems, J. Sustain. Agr., 22, 99-118, doi:10.1300/J064v22n0310, 2003. (Pubitemid 37400181)
18. Gebhardt, S., Cutrufelli, R., Howe, J., Haytowitz, D., Pehrsson, P., Lemar, L., Holcomb, G., Nickle, M., Thomas, R., Exler, J., Showell, B., and Holden, J.: USDA National Nutrient Database for Standard Reference, Release 19, Tech. rep., USDA ARS, Washington DC., available at: http://www.nal.usda.gov/ fnic/foodcomp/Data/SR19/nutrlist/sr19w435.pdf (last access: 15 October 2012), 2006.
19. Godard, C., Roger-Estrade, J., Jayet, P., Brisson, N., and Bas, C. L.: Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU, Agr. Systems, 97, 68-82, doi:10.1016/j.agsy.2007.12.002, 2008.
20. Golub, A., Hertel, T., and Sohngen, B.: Land Use Modeling in Recursively-Dynamic GTAP Framework, GTAPWorking Papers 2609, Center for Global Trade Analysis, Department of Agricul tural Economics, Purdue University, available at: https://www.gtap.agecon.purdue.edu/resources/download/3679.pdf (last access: 15 October 2012), 2008.
21. Gosme, M., Suffert, F., and Jeuffroy, M.-H.: Intensive versus low-input cropping systems: What is the optimal partitioning of agricultural area in order to reduce pesticide use while maintaining productivity?, Agr. Systems, 103, 110-116, doi:10.1016/j.agsy.2009.11.002, 2010.
22. GTAP: Global Trade, Assistance, and Production: The GTAP 6 Data Base, Tech. rep., Center for Global Trade Analysis, Purdue University, 2006.
23. Havlík, P., Schneider, U. A., Schmid, E., Böttcher, H., Fritz, S., Skalský, R., Aoki, K., Cara, S. D., Kindermann, G., Kraxner, F., Leduc, S., McCallum, I., Mosnier, A., Sauer, T., and Obersteiner, M.: Global land-use implications of first and second generation biofuel targets, Energy Policy, 39, 5690-5702, doi:10.1016/j.enpol.2010.03.030, 2011.
24. Heistermann, M., Müller, C., and Ronneberger, K.: Land in sight? Achievements, deficits and potentials of continental to global scale land-use modeling, Agriculture, Ecosyst. Environ., 114, 141-158, 2006.
25. Izaurralde, R., Williams, J., McGill, W., Rosenberg, N., and Jakas, M. Q.: Simulating soil C dynamics with EPIC: Model description and testing against long-term data, Ecol. Modell., 192, 362-384, doi:10.1016/j.ecolmodel.2005.07. 010, 2006. (Pubitemid 43188853)
26. Lotze-Campen, H.,Müller, C., Bondeau, A., Rost, S., Popp, A., and Lucht, W.: Global food demand, productivity growth, and the scarcity of land and water resources: a spatially explicit mathematical programming approach, Agr. Economics, 39, 325-338, 2008.
27. Merry, F., Amacher, G., and Lima, E.: Land Values in Frontier Settlements of the Brazilian Amazon, World Development, 36, 2390-2401, doi:10.1016/j. worlddev.2007.11.014, 2008.
28. Millennium Ecosystem Assessment Board: Ecosystems and Human Well-being: Scenarios, vol. 2, Island press, available at: http://www.maweb.org/en/ Scenarios.aspx, 2005.
29. Monfreda, C., Ramankutty, N., and Foley, J. A.: Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000, Global Biogeochem. Cy., 22, GB1022, doi:10.1029/2007GB002947, 2008. (Pubitemid 351850868)
30. Paillard, S., Treyer, S., and Dorin, B. (Eds.): Agrimonde, Scenarios and Challenges for Feeding the World in 2050, Quae, Versailles, 2011.
31. Portmann, F. T., Siebert, S., and Döll, P.: MIRCA2000 - Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling, Global Biogeochem. Cy., 24, GB1011, doi:10.1029/2008GB003435, 2010.
32. Poulter, B., Ciais, P., Hodson, E., Lischke, H., Maignan, F., Plummer, S., and Zimmermann, N. E.: Plant functional type mapping for earth system models, Geosci. Model Dev., 4, 993-1010, doi:10.5194/gmd-4-993-2011, 2011.
33. Ramankutty, N., Evan, A. T., Monfreda, C., and Foley, J. A.: Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000, Global Biogeochem. Cy., 22, GB1003, doi:10.1029/2007GB002952, 2008. (Pubitemid 351850852)
34. Ricardo, D.: On the principles of political economy and taxation, 1817.
35. Ronneberger, K., Berrittella, M., Bosello, F., and Tol, R.: KLUM@GTAP: Introducing Biophysical Aspects of Land-Use Decisions into a Computable General Equilibrium Model a Coupling Experiment, Environ. Modeling Assess., 14, 149-168, doi:10.1007/s10666-008-9177-z, 2009.
36. Rosenzweig, M. R. and Binswanger, H. P.: Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments, Economic J., 103, 56-78, 1993. (Pubitemid 23369854)
37. Scouvart, M. and Lambin, É. F.: Approche systémique des causes de la déforestation en Amazonie brésilienne : syndromes, synergies et rétroactions, L'Espace géographique, available at: www.cairn.info/revue-espace-geographique-2006-3-page-241.htm (last access: 15 October 2012), 2006.
38. Searchinger, T., Heimlich, R., Houghton, R. A., Dong, F., Elobeid, A., Fabiosa, J., Tokgoz, S., Hayes, D., and Yu, T.-H.: Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change, Science, 319, 1238-1240, doi:10.1126/science.1151861, 2008. (Pubitemid 351323018)
39. Tokgoz, S. and Elobeid, A.: Analysis of the Link between Ethanol, Energy, and Crop Markets, An, Center for agricultural and rural development (card) publications, Center for Agricultural and Rural Development (CARD) at Iowa State University, available at: http://econpapers.repec.org/RePEc:ias:cpaper:06-wp435 (last access: 15 October 2012), 2006.
40. United Nations, Department of Economic and Social affairs, Population Division:World population to 2300, Tech. rep., United Nations, New York, available at: http://www.un.org/esa/population/publications/longrange2/ WorldPop2300final.pdf (last access: 15 October 2012), 2004.
41. van Meijl, H., van Rheenen, T., Tabeau, A., and Eickhout, B.: The impact of different policy environments on agricultural land use in Europe, Agr. Ecosyst. Environ., 114, 21-38, doi:10.1016/j.agee.2005.11.006, 2006. (Pubitemid 43294417)
42. van Vuuren, D., Faber, A., Langeweg, F., Maas, R., and van Dieren, W.: Growing within Limits. A Report to the Global Assembly 2009 of the Club of Rome, Tech. rep., Netherlands Environmental Assessment Agency (PBL), Bilthoven, 2009.
43. Wezel, A., Bellon, S., Doré, T., Francis, C., Vallod, D., and David, C.: Agroecology as a science, a movement and a practice. A review, Agron. Sustain. Develop., 29, 503-515, doi:10.1051/agro/2009004, 2009.
44. Wise, M., Calvin, K., Thomson, A., Clarke, L., Bond-Lamberty, B., Sands, R., Smith, S. J., Janetos, A., and Edmonds, J.: Implications of Limiting CO2 Concentrations for Land Use and Energy, Science, 324, 1183-1186, doi:10.1126/science.1168475, 2009