Scenarios of global bioenergy production: The trade-offs between agricultural expansion, intensification and trade
By H. Lotze-Campen, A. Popp, T. Beringer, Christoph Müller, A. Bondeau, S. Rost, Wolfgang Lucht. 2010
152 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Biomedical Engineering, General Agricultural and Biological Sciences
View Paper: https://www.semanticscholar.org/paper/814176412d89fe906cf5ae50a1e18a7785e409cf
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In Agronomy and Crop Science
In General Agricultural and Biological Sciences
Citations in the corpus
- Description of the REMIND Model (Version 1.6) (2015, unknown): “For a detailed and fully consistent analysis of the integrated energy-economy-land use system, REMIND can also be soft-linked and run iteratively with MAgPIE as depicted in Figure 7 (coupled mode).”
- Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century (2017, unknown): “…endogenously decides, based on cost-effectiveness, about intensi-fi cation of agricultural production (TC), cropland expansion and production relocation (intra-regionally and inter-regionally through international trade) (Dietrich et al., 2014; Lotze-Campen et al., 2010; Schmitz et al., 2012).”
- Climate-smart agriculture global research agenda: scientific basis for action (2014, unknown): “Models comprising the global impacts of bioenergy, along with agricultural productivity at local, regional and country scales, can be utilized to effectively assess the realization of environmental and economic objectives via policy and technology [192].”
- Trading more food: Implications for land use, greenhouse gas emissions, and the food system (2012, methodology): “We analyse future trade scenarios covering the period of 2005- 2045 by evaluating economic and environmental effects using the global land-use model MAgPIE ("Model of Agricultural Production and its Impact on the Environment").”
- Oil palm plantations in Colombia: a model of future expansion (2013, methodology): “Approaches that include a combination of general equilibrium models and multi-criteria analysis, such as those developed by Irwin and Geoghegan (2001) and Lotze-Campen et al. (2009) could be well suited to this end.”