Land-use - REMIND-MAgPIE

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Model Documentation - REMIND-MAgPIE

Corresponding documentation
Previous versions
Model information
Model link
Institution Potsdam Institut für Klimafolgenforschung (PIK), Germany, https://www.pik-potsdam.de.
Solution concept General equilibrium (closed economy)MAgPIE: partial equilibrium model of the agricultural sector;
Solution method OptimizationMAgPIE: cost minimization;
Anticipation

There are a number of important interactions of the energy, economy and climate systems represented in REMIND-MAgPIE with the land system, such as emissions from land use changes and agriculture, or bioenergy supply. In the default standalone mode, REMIND-MAgPIE relies on reduced-form approaches to account for these inter-linkages between the energy and the agricultural and land-use sectors (stand-alone mode). These are derived based on the state-of-the-art land use model MAgPIE [1]; [2]; [3]. For a detailed and fully consistent analysis of the integrated energy-economy-land use system, REMIND-MAgPIE can also be soft-linked and run iteratively with MAgPIE as depicted in Figure 7 (coupled mode). The soft-link between REMIND-MAgPIE and MAgPIE focuses on two crucial interactions: (i) bioenergy demand and supply, (ii) land use/land use change emissions and GHG prices. At the end-point of the iterative solution process, the markets for bioenergy and emission mitigation across the energy and land-use sector are in equilibrium.

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Figure 1. In the coupled mode REMIND-MAgPIE is soft-linked to the land-use model MAgPIE. The models are run iteratively and exchange information about bioenergy demand and supply and about emission mitigation in the land-use system.












  1. Lotze-Campen H, Müller C, Bondeau A, et al (2008) Global food demand, productivity growth, and the scarcity of land and water resources: a spatially explicit mathematical programming approach. Agricultural Economics 39:325–338. doi: 10.1111/j.1574-0862.2008.00336.x
  2. Popp A, Lotze-Campen H, Bodirsky B (2010) Food consumption, diet shifts and associated non-CO2 greenhouse gases from agricultural production. Global Environmental Change 20:451–462. doi: 10.1016/j.gloenvcha.2010.02.001
  3. Lotze-Campen H, Popp A, Beringer T, et al (2010) Scenarios of global bioenergy production: The trade-offs between agricultural expansion, intensification and trade. Ecological Modelling 221:2188–2196. doi: 10.1016/j.ecolmodel.2009.10.002