Global land-use implications of first and second generation biofuel targets
By Petr Havlík, Uwe A. Schneider, Erwin Schmid, H. Böttcher, Steffen Fritz, R. Skalský, K. Aoki, S. Cara, G. Kindermann, F. Kraxner and 5 more. 2011
866 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Biomedical Engineering, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/b8bfb3e09746bf4221f2c7c3a8b1313ba34fa91e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Agronomy and Crop Science
- Christoph Müller
- H. Lotze-Campen
- A. Popp
- P. K. Thornton
- Mario Herrero
- Thomas W. Hertel
- Uris Lantz C. Baldos
In Biomedical Engineering
In Environmental Engineering
- Mantu Kumar Mahalik
- Petr Havlík
- Mario Herrero
- Khalid Ahmed
- H. Schandl
- Muhammad Shahbaz
- Michael Obersteiner
- H. Lotze-Campen
Citations in the corpus
- Positive Mathematical Programming Approaches – Recent Developments in Literature and Applied Modelling (2012, methodology): “estimation could be provided by Heckelei and Wolff (2003) when using optimality conditions of programming models as estimating equations.”
- Climate change effects on agriculture: Economic responses to biophysical shocks (2013, background): “Finally, endogenous yield adjustments can differ widely between a CGE which represents substitution with factors such as capital and labor; a bottom-up model like GLOBIOM that explicitly represents switches between different management systems and the relocation of production between different grid-”
- Food versus fuel? Going beyond biofuels (2016, background): “Therefore, food vs. fuel conflicts are likely to impact on both the urban poor who suffer from inflated prices for key foodstuffs, and the rural poor even in areas of surplus (Compton et al., 2010; Havlik et al., 2011; Thompson, 2012a).”
- Land‐use change trajectories up to 2050: insights from a global agro‐economic model comparison (2014, methodology): “Two PE models, MAgPIE (Lotze-Campen et al., 2008; Popp et al. 2010; Schmitz et al., 2012) and GLOBIOM (Havlik et al., 2011; 2013) incorporate spatially explicit land use as part of the model solution.”
- Global land use change, economic globalization, and the looming land scarcity (2011, neutral): “Another integrated global model estimated a knock-on leakage (or cascade) effect of agricultural expansion on deforestation causing an additional 30–50 Mha deforestation by 2030 when biofuels were introduced (73).”
- Agricultural productivity and greenhouse gas emissions: trade-offs or synergies between mitigation and food security? (2013, background): “GLOBIOM is a global partial equilibrium model allocating land-based activities under constraints to maximize the sum of producer and consumer surpluses [25].”