Water for food: The global virtual water trade network
By M. Konar, C. Dalin, Samir Suweis, N. Hanasaki, Andrea Rinaldo, I. Rodríguez‐Iturbe. 2011
280 citations recorded by the source corpus.
Subfields: Environmental Engineering, Molecular Biology, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/501308305c22fa7846db8381bc228d560711d658
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- L. Rosa
- Paolo D'Odorico
- I. Rodríguez‐Iturbe
- J. Dell’Angelo
- J. Carr
- Samir Suweis
- K. Erb
- Eric F. Lambin
In Molecular Biology
- Paolo D'Odorico
- I. Rodríguez‐Iturbe
- Samir Suweis
- M. Konar
- N. Hanasaki
- Francesco Laio
- Luca Ridolfi
- C. Dalin
In Statistical and Nonlinear Physics
- Paolo D'Odorico
- I. Rodríguez‐Iturbe
- Samir Suweis
- M. Konar
- N. Hanasaki
- Francesco Laio
- Luca Ridolfi
- Thomas W. Hertel
Citations in the corpus
- Global unsustainable virtual water flows in agricultural trade (2019, background): “While the virtual water trade associated with agricultural commodities (Konar et al 2011, Hoekstra and Mekonnen 2012), and the regions of unsustainable irrigation have been extensively investigated andmapped (Rosa et al 2018a), the globalized dimension of unsustainable irrigation, the loss of…”
- The Global Food‐Energy‐Water Nexus (2018, background): “Through the intensification of trade, some regions have become strongly dependent on food produced with water resources they do not control because they are located elsewhere (Chapagain & Hoekstra, 2008; Konar et al., 2011).”
- Temporal dynamics of blue and green virtual water trade networks (2012, methodology): “[31] It is known that the total volume of virtual water traded follows a power law relationship when compared to the number of trade partners, i.e., s / ak [Konar et al., 2011; Suweis et al., 2011].”
- Global virtual water trade and the hydrological cycle: patterns, drivers, and socio-environmental impacts (2019, methodology): “Translation for a single year of detailed trade data of 58 major crop commodities from the Food and Agricultural Organization to the network of VWT allowed for the analysis of the topological properties of this network using methods from network theory (Konar et al 2011).”
- Globalization of land use: distant drivers of land change and geographic displacement of land use (2013, background): “…Hecht 2010 CO2 and other indicators increasingly linked to land use – water, nitrogen, biodiversity Galloway et al. 2007, Peters and Hertwich 2008, Konar et al. 2011, Davis et al. 2012, Lenzen et al. 2012, Saikku et al. 2012 NPP, Biomass, C in wood Haberl et al. 2009, 2012, Erb et al. 2009,…”