Global implications of regional grain production through virtual water trade.


Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Apr 2019
Historique:
received: 24 09 2018
revised: 07 12 2018
accepted: 25 12 2018
entrez: 18 5 2019
pubmed: 18 5 2019
medline: 10 7 2019
Statut: ppublish

Résumé

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 m

Identifiants

pubmed: 31096411
pii: S0048-9697(18)35285-9
doi: 10.1016/j.scitotenv.2018.12.392
pii:
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

807-820

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

M Badrul Masud (MB)

Watershed Science & Modelling Laboratory, Department of Earth and Atmospheric Sciences, Faculty of Science, University of Alberta, Alberta, Canada.

Yoshihide Wada (Y)

International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1 - A-2361, Laxenburg, Austria.

Greg Goss (G)

Department of Biological Sciences, Faculty of Science, University of Alberta, Alberta, Canada.

Monireh Faramarzi (M)

Watershed Science & Modelling Laboratory, Department of Earth and Atmospheric Sciences, Faculty of Science, University of Alberta, Alberta, Canada. Electronic address: faramarz@ualberta.ca.

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Classifications MeSH