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Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation

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Listed:
  • Eric Audsley
  • Mirek Trnka
  • Santiago Sabaté
  • Joan Maspons
  • Anabel Sanchez
  • Daniel Sandars
  • Jan Balek
  • Kerry Pearn

Abstract

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. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Eric Audsley & Mirek Trnka & Santiago Sabaté & Joan Maspons & Anabel Sanchez & Daniel Sandars & Jan Balek & Kerry Pearn, 2015. "Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation," Climatic Change, Springer, vol. 128(3), pages 215-227, February.
    • Handle: RePEc:spr:climat:v:128:y:2015:i:3:p:215-227
    DOI: 10.1007/s10584-014-1164-6
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    References listed on IDEAS

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    1. Lehtonen, Heikki & Peltola, Jukka & Sinkkonen, Marko, 2006. "Co-effects of climate policy and agricultural policy on regional agricultural viability in Finland," Agricultural Systems, Elsevier, vol. 88(2-3), pages 472-493, June.
    2. J E Annetts & E Audsley, 2002. "Multiple objective linear programming for environmental farm planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(9), pages 933-943, September.
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    1. Kipling, Richard P. & Bannink, André & Bellocchi, Gianni & Dalgaard, Tommy & Fox, Naomi J. & Hutchings, Nicholas J. & Kjeldsen, Chris & Lacetera, Nicola & Sinabell, Franz & Topp, Cairistiona F.E. & va, 2016. "Modeling European ruminant production systems: Facing the challenges of climate change," Agricultural Systems, Elsevier, vol. 147(C), pages 24-37.
    2. Grundy, Michael J. & Bryan, Brett A. & Nolan, Martin & Battaglia, Michael & Hatfield-Dodds, Steve & Connor, Jeffery D. & Keating, Brian A., 2016. "Scenarios for Australian agricultural production and land use to 2050," Agricultural Systems, Elsevier, vol. 142(C), pages 70-83.
    3. Holman, I.P. & Brown, C & Janes, V & Sandars, D, 2017. "Can we be certain about future land use change in Europe? A multi-scenario, integrated-assessment analysis," Agricultural Systems, Elsevier, vol. 151(C), pages 126-135.

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