Trading more food: Implications for land use, greenhouse gas emissions, and the food system

By C. Schmitz, A. Biewald, H. Lotze-Campen, A. Popp, J. Dietrich, Benjamin Leon Bodirsky, M. Krause, I. Weindl. 2012

197 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/7d08ad90c30dcbe04f192dd0f1ff0020a14163b0

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Citations in the corpus

Globalization of land use: distant drivers of land change and geographic displacement of land use (2013, background): “…/ national focus Global focus Globalization and land use Lambin & Meyfroidt 2011 Climate and trade policies and land use Golub et al. 2012, Schmitz et al. 2012 Trade pattern and iLUC Villoria & Hertel 2011 Demand-side instruments to govern globalized land use Rueda & Lambin 2012 Local…”
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.”
Reserves and trade jointly determine exposure to food supply shocks (2016, background): “Recent studies have stressed the environmental implications of food trade in terms of loss of environmental stewardship resulting from the tele-coupling between agricultural production and consumer behavior or market volatility (DeFries et al 2010, Schmitz et al 2012, Meyfroidt et al 2013).”
Feeding humanity through global food trade (2014, background): “…the externalization of environmental impacts [e.g., O’Bannon et al., 2014], and the establishment of teleconnections between those impacts and their drivers (e.g., consumer behavior, price volatility, or climate fluctuations) [DeFries et al., 2010; Schmitz et al., 2012; Meyfroidt et al., 2013].”
Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison (2014, background): “The specific implementation 133 of agricultural land expansion into currently unused land across the models is described in 134 Schmitz et al. (2013). 135”
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).”
Food and feed trade as a driver in the global nitrogen cycle: 50-year trends (2014, background): “International trade of agricultural products has increased by a factor greater than 10 during the past six decades, and it is expected to continue to grow in the future, further increasing landuse changes, greenhouse gas (GHG) emissions, and reactive nitrogen losses (Schmitz et al. 2012).”
Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios (2015, background): “…and MAgPIE), which include greater detail on the agriculture sector (Meijl et al 2006, Lotze-Campen et al 2008, Popp et al 2010, Rosegrant and the IMPACT Development Team 2012, Schmitz et al 2012, van der Mensbrugghe 2013, Sands et al 2014, Woltjer et al 2014; see also supplementary material).”
Greedy or needy? Land use and climate impacts of food in 2050 under different livestock futures (2017, background): “Establishing an optimal level of trade is complex and needs to consider several outcomes such as the impact on regional and global food prices, environment and climate (Schmitz et al., 2012; Hertel and Baldos, 2016) and the extent to which market integration can improve or undermine resilience in th”
Climate adaptation as mitigation: the case of agricultural investments (2013, background): “The emission factors are taken from [22], although other potential sources of such data also exist [23].”
Large-scale bioenergy production: how to resolve sustainability trade-offs? (2018, methodology): “For meeting the demand, the model endogenously decides, based on cost-effectiveness, about the level of intensification (yield-increasing technological change), extensification (LUC), and production relocation (intra-regionally and inter-regionally through international trade) [30, 31].”