The impact of climate variability on water footprint components of rainfed wheat and barley in Qazvin province of Iran

Article

Nazari, Rasta, Ramezani-Etedali, Hadi, Nazari, Bijan and Collins, Brian. 2020. "The impact of climate variability on water footprint components of rainfed wheat and barley in Qazvin province of Iran." Irrigation and Drainage. 69 (4), pp. 826-843. https://doi.org/10.1002/ird.2487
Article Title

The impact of climate variability on water footprint components of rainfed wheat and barley in Qazvin province of Iran

ERA Journal ID4213
Article CategoryArticle
AuthorsNazari, Rasta, Ramezani-Etedali, Hadi, Nazari, Bijan and Collins, Brian
Journal TitleIrrigation and Drainage
Journal Citation69 (4), pp. 826-843
Number of Pages18
Year2020
PublisherJohn Wiley & Sons
Place of PublicationUnited Kingdom
ISSN0971-7412
1531-0353
1531-0361
Digital Object Identifier (DOI)https://doi.org/10.1002/ird.2487
Web Address (URL)https://onlinelibrary.wiley.com/doi/full/10.1002/ird.2487
Abstract

Due to shortage of precipitation, rainfed farming in Iran is facing numerous challenges. Understanding the impact of climate variables on the production of rainfed crops in each region is of utmost importance for dry farming. Based on 11-year (2004–2015) data from synoptic stations in the Qazvin province of Iran, a comprehensive simulation analysis was conducted with AquaCrop-GIS to study the yield and the green and grey water footprint (WF) of the main rainfed crops (wheat and barley) along with the correlation of the target variables (yield and WF components) with the selected climate variables. Based on the estimated values of green and grey WFs, planting of rainfed wheat and barley at Qazvin and Moalem Kalayeh stations with lower total WF will be more beneficial than at other stations. Regression analysis showed that at most stations, reference evapotranspiration had a direct effect on wheat total WF (TWF), while precipitation has a positive effect on barley TWF at Qazvin and Moalem Kalayeh. The regression equation of barley green WF at the Qazvin station showed the highest correlation with climate variables (R2 = 0.98). TWF of wheat and barley at Buin Zahra had the highest correlation with climate variables (R2 = 0.73 and 0.85, respectively). Finally, it was concluded that in arid regions, the variability in TWF of rainfed products is greatly influenced by spatio-temporal variations of climate variables.

KeywordsAquaCrop-GIS; climate variability; crop modelling; regression anal; water footprint
Article Publishing Charge (APC) FundingOther
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204101. Climate change impacts and adaptation
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Byline AffiliationsUniversity of Queensland
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