Global implications of regional grain production through virtual water trade

Masud MB, Wada Y ORCID: https://orcid.org/0000-0003-4770-2539, Goss G, & Faramarzi M (2019). Global implications of regional grain production through virtual water trade. Science of the Total Environment 659: 807-820. DOI:10.1016/j.scitotenv.2018.12.392.

[img] Text
3 VWT of Alberta_Masud et al R1 CleanVersion.pdf - Accepted Version
Restricted to Repository staff only until 1 April 2021.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB)

Abstract

Crop yields (Y) and virtual water content (VWC) of agricultural production are affected by climate variability and change, and are highly dependent on geographical location, crop type, specific planting and harvesting practice, soil property and moisture, hydro-geologic and climate conditions. This paper assesses and analyzes historical (1985–2009) and future (2040–2064) Y and VWC of three cereal crops (i.e., wheat, barley, and canola) with high spatial resolution in the highly intensive agricultural region of Alberta, Canada, using the Soil and Water Assessment Tool (SWAT). A calibrated and validated SWAT hydrological model is used to supplement agricultural (rainfed and irrigation) models to simulate Y and crop evapotranspiration (ET) at the sub-basin scales. The downscaled climate projections from nine General Climate Models (GCMs) for RCP 2.6 and RCP 8.5 emission scenarios are fed into the calibrated SWAT model. Results from an ensemble average of GCMs show that Y and VWC are projected to change drastically under both RCPs. The trade (export-import) of wheat grain from Alberta to more than a hundred countries around the globe led to the annual saving of ~5 billion m3 of virtual water (VW) during 1996–2005. Based on the weighted average of VWC for both rainfed and irrigated conditions, future population and consumption, our projections reveal an annual average export potential of ~138 billion m3 of VW through the flow of these cereal crops in the form of both grain and other processed foods. This amount is expected to outweigh the total historical provincial water yield of 66 billion m3 and counts for 47% of total historical precipitation and 61% of total historical actual ET. The research outcome highlights the importance of local high-resolution inputs in regional modeling and understanding the local to global water-food trade policy for sustainable agriculture.

Item Type: Article
Uncontrolled Keywords: Crop modeling; Climate change; Virtual water content; Virtual water flow; Canada
Research Programs: Water (WAT)
Depositing User: Luke Kirwan
Date Deposited: 07 Jan 2019 09:34
Last Modified: 08 Jan 2019 06:58
URI: http://pure.iiasa.ac.at/15661

Actions (login required)

View Item View Item

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313