Studies of climate change impacts on agricultural land use generally consider sets of climates combined with fixed socio-economic scenarios, making it impossible to compare the impact of specific factors within these scenario sets. Analysis of the impact of specific scenario factors is extremely difficult due to prohibitively long run-times of the complex models. This study produces and combines metamodels of crop and forest yields and farm profit, derived from previously developed very complex models, to enable prediction of European land use under any set of climate and socio-economic data. Land use is predicted based on the profitability of the alternatives on every soil within every 10’ grid across the EU. A clustering procedure reduces 23,871 grids with 20+ soils per grid to 6,714 clusters of common soil and climate. Combined these reduce runtime 100 thousand-fold. Profit thresholds define land as intensive agriculture (arable or grassland), extensive agriculture or managed forest, or finally unmanaged forest or abandoned land. The demand for food as a function of population, imports, food preferences and bioenergy, is a production constraint, as is irrigation water available. An iteration adjusts prices to meet these constraints. A range of measures are derived at 10’ grid-level such as diversity as well as overall EU production. There are many ways to utilise this ability to do rapid What-If analysis of both impact and adaptations. The paper illustrates using two of the 5 different GCMs (CSMK3, HADGEM with contrasting precipitation and temperature) and two of the 4 different socio-economic scenarios (“We are the world”, “Should I stay or should I go” which have contrasting demands for land), exploring these using two of the 13 scenario parameters (crop breeding for yield and population) . In the first scenario, population can be increased by a large amount showing that food security is far from vulnerable. In the second scenario increasing crop yield shows that it improves the food security problem.
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Annetts JE, Audsley E (2002) Multiple objective linear programming for environmental farm planning. J Oper Res Soc 53:933–943. doi:10.1057/palgrave.jors.2601404
Audsley E, Pearn KR, Simota C, Cojocaru G, Koutsidou E, Rounsevell MDA, Trnka M, Alexandrov V (2006) What can scenario modelling tell us about future European scale agricultural land use, and what not? Environ Sci Pol 9:148–162. doi:10.1016/j.envsci.2005.11.008
Bossard M, Feranec J, Otahel J (2000) CORINE land cover technical guide—addendum
Britz Wolfgang (Ed.), (2005) CAPRI Modelling system documentation
Dubrovsky M, Trnka M, Svobodova E, Dunford R, Holman IP (submitted for this issue) Creating a reduced-form ensemble of climate change scenarios for Europe representing known uncertainties. Climatic Change
Hanley N, Acs S, Dallimer M, Gaston KJ, Graves A, Morris J, Armsworth PR (2012) Farm-scale ecological and economic impacts of agricultural change in the uplands. Land Use Pol 29:587–597. doi:10.1016/j.landusepol.2011.10.001
Holman IP, Rounsevell MDA, Shackley S, Harrison PA, Nicholls RJ, Berry PM, Audsley E (2005) A regional, multi-sectoral and integrated assessment of the impacts of climate and socio-economic change in the UK. Clim Chang 71:9–41. doi:10.1007/s10584-005-5927-y
Hossell JE, Jones PJ, Marsh JS, Parry ML, Rehman T, Tranter RB (1996) The likely effects of climate change on agricultural land use in England and Wales. Geoforum 27:149–157. doi:10.1016/0016-7185(96)00005-X
Keenan T, Maria Serra J, Lloret F, Ninyerola M, Sabate S (2011) Predicting the future of forests in the Mediterranean under climate change, with niche- and process-based models: CO2 matters!: predicting the future of forests under climate change. Glob Chang Biol 17:565–579. doi:10.1111/j.1365-2486.2010.02254.x
Keenan T, Sabaté S, Gracia C (2008) Forest Eco-physiological models and carbon sequestration. In: Bravo F, Jandl R, LeMay V, Gadow K (eds) Managing forest ecosystems: The challenge of climate change. Springer, Netherlands, pp 83–102
Kok K, Bärlund I, Flörke M, Holman I, Gramberger M, Sendzimir J, Stuch B, Zellmer K (2014) European participatory scenario development: strengthening the link between stories and models. Climatic Change. doi:10.1007/s10584-014-1143-y
Lehtonen H, Peltola J, Sinkkonen M (2006) Co-effects of climate policy and agricultural policy on regional agricultural viability in Finland. Agric Syst 88:472–493. doi:10.1016/j.agsy.2005.07.005
Mokrech M, Kebede AS, Nicholls RJ, Wimmer F (submitted for this issue) Assessing flood impacts due to cross-sectoral effects of climate and socio-economic scenarios and the scope of adaptation. Climatic Change
Morris J, Audsley E, Wright IA, McLeod J, Pearn K, Angus A, Rickard S, (2005) Agricultural futures and implications for the environment
Nissen S (2005) Neural networks made simple. Softw 2:14–19
Panagos P, Van Liedekerke M, Jones A, Montanarella L (2012) European soil data centre (ESDAC): response to European policy support and public data requirements. Land Use Pol 29:329–338
Rounsevell MD, Annetts J, Audsley E, Mayr T, Reginster I (2003) Modelling the spatial distribution of agricultural land use at the regional scale. Agric Ecosyst Environ 95:465–479. doi:10.1016/S0167-8809(02)00217-7
Rounsevell MDA, Ewert F, Reginster I, Leemans R, Carter TR (2005) Future scenarios of European agricultural land use. Agric Ecosyst Environ 107:117–135. doi:10.1016/j.agee.2004.12.002
Van Meijl H, van Rheenen T, Tabeau A, Eickhout B (2006) The impact of different policy environments on agricultural land use in Europe. Agric Ecosyst Environ 114:21–38. doi:10.1016/j.agee.2005.11.006
Wimmer F, Audsley E, Malsy M, Savin C, Dunford R, Harrison PA, Schaldach R, Flörke M (2014) Modelling the effects of cross-sectoral water allocation schemes in Europe. Climatic Change. doi:10.1007/s10584-014-1161-9
This work was supported by the CLIMSAVE Project (Climate change integrated assessment methodology for cross-sectoral adaptation and vulnerability in Europe; www.climsave.eu) funded under the Seventh Framework Programme of the European Commission (Contract No. 244031).). The Czech participation was co-funded through Ministry of Education projects no. 7E10033 and KONTAKT II LD130030 with Jan Balek’s work being funded through project Building up a multidisciplinary scientific team focused on drought, No. CZ.1.07/2.3.00/20.0248
This article is part of a Special Issue on "Regional Integrated Assessment of Cross-sectoral Climate Change Impacts, Adaptation, and Vulnerability" with Guest Editors Paula A. Harrison and Pam M. Berry.
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Audsley, E., Trnka, M., Sabaté, S. et al. Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation. Climatic Change 128, 215–227 (2015). https://doi.org/10.1007/s10584-014-1164-6
- Abandoned Land
- Unmanaged Forest
- Available Water Capacity
- NUTS2 Level
- Farm Profit