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
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsUniversity of Queensland
Permalink -

https://research.usq.edu.au/item/z6413/the-impact-of-climate-variability-on-water-footprint-components-of-rainfed-wheat-and-barley-in-qazvin-province-of-iran

  • 42
    total views
  • 0
    total downloads
  • 3
    views this month
  • 0
    downloads this month

Export as

Related outputs

Evaluating the impact of weather forecasts on productivity and environmental footprint of irrigated maize production systems
Collins, Brian, Lai, Yunru, Grewer, Uwe G, Attard, Steve, Sexton, Justin and Pembleton, Keith G.. 2024. "Evaluating the impact of weather forecasts on productivity and environmental footprint of irrigated maize production systems." Science of the Total Environment. 954. https://doi.org/10.1016/j.scitotenv.2024.176368
Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems
Wang, Eric, Collins, Brian, Attard, Steve and Everingham, Yvette. 2024. "Enhancing efficiency and profitability: the impact of smart irrigation scheduling in sugarcane production systems." 45th Annual Conference of the Australian Society of Sugar Cane Technologists (ASSCT 2024). Townsville, Australia 15 - 19 Apr 2024 Australia. Australian Society of Sugar Cane Technologists.
Pre- and post-flowering impacts of natural heatwaves on yield components in wheat
Ullah, Najeeb, Collins, Brian, Christopher, John T., Frederiks, Troy and Chenu, Karine. 2024. "Pre- and post-flowering impacts of natural heatwaves on yield components in wheat." Field Crops Research. 316. https://doi.org/10.1016/j.fcr.2024.109489
Water scarcity assessment in Iran’s agricultural sector using the water footprint concept
Dehghanpir, Shahla, Bazrafshan, Ommolbanin, Ramezani-Etedali, Hadi and Collins, Brian. 2024. "Water scarcity assessment in Iran’s agricultural sector using the water footprint concept." Environment, Development and Sustainability: a multidisciplinary approach to the theory and practice of sustainable development. 26 (11), pp. 28995-29020. https://doi.org/10.1007/s10668-023-03852-3
Evaluation of meteorological datasets in estimating the water footprint components of wheat and maize (case study: Qazvin, Iran)
Ramezani-Etedali, Hadi, Gorginpaveh, Faraz, Kakvand, Parisa, Elbeltagi, Ahmed and Collins, Brian. 2024. "Evaluation of meteorological datasets in estimating the water footprint components of wheat and maize (case study: Qazvin, Iran)." AIMS Agriculture and Food. 9 (1), pp. 84-107. https://doi.org/10.3934/agrfood.2024006
Application of inclusive multiple model for the prediction of saffron water footprint
Moshizi, Zahra Gerkani Nezhad, Bazrafshan, Ommolbanin, Ramezani Etedali, Hadi, Esmaeilpour, Yahya and Collins, Brian. 2023. "Application of inclusive multiple model for the prediction of saffron water footprint." Agricultural Water Management. 277. https://doi.org/10.1016/j.agwat.2022.108125
Balancing pre- and post-anthesis growth to maximize water-limited yield in cereals
Borrell, Andrew K., Christopher, John T., Kelly, Alison, Collins, Brian and Chenu, Karine. 2023. "Balancing pre- and post-anthesis growth to maximize water-limited yield in cereals." Field Crops Research. 296. https://doi.org/10.1016/j.fcr.2023.108919
An optimal combination of sowing date and cultivar could mitigate the impact of simultaneous heat and drought on rainfed wheat in arid regions
Deihimfard, Reza, Rahimi-Moghaddam, Sajjad, El-Serehy, Hamed and Collins, Brian. 2023. "An optimal combination of sowing date and cultivar could mitigate the impact of simultaneous heat and drought on rainfed wheat in arid regions." European Journal of Agronomy. 147. https://doi.org/10.1016/j.eja.2023.126848
Superior leaf physiological performance contributes to sustaining the final yield of cotton (Gossypium hirsutum L.) genotypes under terminal heat stress
Sarwar, Muhammad, Saleem, Muhammad Farrukh, Ullah, Najeeb, Ali, Asjad, Collins, Brian, Shahid, Muhammad, Munir, Muhammad Kashif, Chung, Sang-Min and Kumar, Manu. 2023. "Superior leaf physiological performance contributes to sustaining the final yield of cotton (Gossypium hirsutum L.) genotypes under terminal heat stress." Physiology and Molecular Biology of Plants. 29 (5), pp. 739-753. https://doi.org/10.1007/s12298-023-01322-8
Evaluation of water shortage in wheat production in Iran
Dehghanpir, Shahla, Bazrafshan, Ommolbanin, Ramezani-Etedali, Hadi, Holisaz, Arashk and Collins, Brian. 2023. "Evaluation of water shortage in wheat production in Iran." Iranian Journal of Ecohydrology. 9 (4), pp. 719-732.
A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices
Collins, Brian, Attard, Steve, Banhalmi-Zakar, Zsuzsa and Everingham, Yvette. 2023. "A discussion support system to rapidly assess economic and environmental impacts of different sugarcane irrigation practices." Computers and Electronics in Agriculture. 215. https://doi.org/10.1016/j.compag.2023.108380
Frequency of compound hot–dry weather extremes has significantly increased in Australia since 1889
Collins, Brian. 2022. "Frequency of compound hot–dry weather extremes has significantly increased in Australia since 1889 ." Journal of Agronomy and Crop Science. 208 (6), pp. 941-955. https://doi.org/10.1111/jac.12545
Future climate change could reduce irrigated and rainfed wheat water footprint in arid environment
Deihimfard, Reza, Rahimi-Moghaddam, Sajjad, Collins, Brian and Azizi, Khosro. 2022. "Future climate change could reduce irrigated and rainfed wheat water footprint in arid environment." Science of the Total Environment. 807 (3). https://doi.org/10.1016/j.scitotenv.2021.150991
Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI-2 algorithm in northeast Australia
Collins, Brian, Najeeb, Ullah, Luo, Qunying and Tan, Daniel K. Y.. 2022. "Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI-2 algorithm in northeast Australia." Journal of Agronomy and Crop Science. 208 (2), pp. 225-242. https://doi.org/10.1111/jac.12575
Analysis on heat characteristics for summer maize cropping in a semi-arid region
Wang, Zhiwei, Sun, Weiwei, Liu, Xiaoli, Li, Yangyang, Collins, Brian, Ullah, Najeeb and Song, Youhong. 2022. "Analysis on heat characteristics for summer maize cropping in a semi-arid region." Agronomy. 12 (6). https://doi.org/10.3390/agronomy12061435
A cross-scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environments
Wu, Alex, Brider, Jason, Busch, Florian A., Chen, Min, Chenu, Karine, Clarke, Victoria C., Collins, Brian, Ermakova, Maria, Evans, John R., Farquhar, Graham D., Forster, Britta, Furbank, Robert T., Groszmann, Michael, Hernandez‐Prieto, Miguel A., Long, Benedict M., McLean, Greg, Potgieter, Andries, Price, G. Dean, Sharwood, Robert E., ..., Hammer, Graeme L.. 2022. "A cross-scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environments." Plant, Cell and Environment. 46 (1), pp. 23-44. https://doi.org/10.1111/pce.14453
The Effect of Past Climate Change on the Water Footprint Trend in Saffron at Homogeneous Agroclimatic Regions of Khorasan
Moshizi, zahra Gerkani Nezhad, Bazrafshan, ommolbanin, Ramezani-Etedali, Hadi, Esmaeilpour, yahya and Collins, Brian. 2022. "The Effect of Past Climate Change on the Water Footprint Trend in Saffron at Homogeneous Agroclimatic Regions of Khorasan ." Journal of Saffron Research. 10 (2), pp. 295-311. https://doi.org/10.22077/JSR.2022.5742.1199
Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province, Iran
Paveh, Faraz Gorgin, Ramezani-Etedali, Hadi and Collins, Brian. 2022. "Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province, Iran." Journal of Arid Land. 14 (12), pp. 1361-1376. https://doi.org/10.1007/s40333-022-0108-7
Investigating Spatiotemporal Variations of Precipitation across Iran over 1957-2016 using the CRU Gridded Dataset
Ramezani-Etedali, Hadi Ramezani and Ababaei, Behnam. 2021. "Investigating Spatiotemporal Variations of Precipitation across Iran over 1957-2016 using the CRU Gridded Dataset." Modares Civil Engineering journal. 21 (1), pp. 103-117.
Impacts of droughts on rainfall use efficiency in different climatic zones and land uses in Iran
Ahmadaali, Khaled, Damaneh, Hadi Eskandari, Ababaei, Behnam and Damaneh, Hamed Eskandari. 2021. "Impacts of droughts on rainfall use efficiency in different climatic zones and land uses in Iran ." Arabian Journal of Geosciences. 14 (2). https://doi.org/10.1007/s12517-020-06389-1
Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity
Collins, Brian, Chapman, Scott, Hammer, Graeme and Chenu, Karine. 2021. "Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity." In Silico Plants. 3 (1). https://doi.org/10.1093/insilicoplants/diab006
Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate
Collins, Brian and Chenu, Karine. 2021. "Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate." Climate Risk Management. 32. https://doi.org/10.1016/j.crm.2021.100300
Spatiotemporal variations of evapotranspiration and reference crop water requirement over 1957–2016 in Iran based on CRU TS gridded dataset
Collins, Brian, Ramezani-Etedali, Hadi, Tavakol, Ameneh and Kaviani, Abbas. 2021. "Spatiotemporal variations of evapotranspiration and reference crop water requirement over 1957–2016 in Iran based on CRU TS gridded dataset." Journal of Arid Land. 13 (8), p. 858–878. https://doi.org/10.1007/s40333-021-0103-4
Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change
Stella, Tommaso, Webber, Heidi, Olesen, Jørgen E, Ruane, Alex C, Fronzek, Stefan, Bregaglio, Simone, Mamidanna, Sravya, Bindi, Marco, Collins, Brian, Faye, Babacar, Ferrise, Roberto, Fodor, Nandor, Gabaldón-Leal, Clara, Jabloun, Mohamed, Kersebaum, Kurt-Christian, Lizaso, Jon I, Lorite, Ignacio J, Manceau, Loic, Martre, Pierre, ..., Ewert, Frank. 2021. "Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change." Environmental Research Letters. 16 (10). https://doi.org/10.1088/1748-9326/ac2196
Functional-structural plant models mission in advancing crop science: opportunities and prospects
Soualiou, Soualihou, Wang, Zhiwei, Sun, Weiwei, de Reffye, Philippe, Collins, Brian, Louarn, Gaëtan and Song, Youhong. 2021. "Functional-structural plant models mission in advancing crop science: opportunities and prospects." Frontiers in Plant Science. 12. https://doi.org/10.3389/fpls.2021.747142
Heat shocks increasingly impede grain filling but have little effect on grain setting across the Australian Wheatbelt
Collins, Behnam and Chenu, Karine. 2020. "Heat shocks increasingly impede grain filling but have little effect on grain setting across the Australian Wheatbelt." Agricultural and Forest Meteorology. 284. https://doi.org/10.1016/j.agrformet.2019.107889
Detection of major weather patterns reduces number of simulations in climate impact studies
Collins, Behnam and Najeeb, Ullah. 2020. "Detection of major weather patterns reduces number of simulations in climate impact studies." Journal of Agronomy and Crop Science. 206 (3), pp. 376-389. https://doi.org/10.1111/jac.12388
Spatio-temporal variations of seven weather variables in Iran: application of CRU TS and GPCC data sets
Ababaei, Behnam. 2020. "Spatio-temporal variations of seven weather variables in Iran: application of CRU TS and GPCC data sets." Irrigation and Drainage. 69 (1), pp. 164-185. https://doi.org/10.1002/ird.2399
Pan-European multi-crop model ensemble simulations of wheat and grain maize under climate change scenarios
Webber, Heidi, Cooke, Diane Kathleene, Ewert, Frank, Olesen, Jørgen E., Fronzek, Stefan, Ruane, Alex C., Martre, Pierre, Collins, Brian, Bindi, Marco, Ferrise, Roberto, Fodor, Nándor, Gabaldón-Leal, Clara, Gaiser, Thomas, Jabloun, Mohamed, Kersebaum, Kurt, Lizaso, Jon I., Lorite, Ignacio J., Manceau, Loic, Moriondo, Marco, ..., Trombi, Giacomo. 2020. "Pan-European multi-crop model ensemble simulations of wheat and grain maize under climate change scenarios ." Open Data Journal for Agricultural Research. 6, pp. 21-27. https://doi.org/10.18174/odjar.v6i0.16326
Investigating climate change over 1957–2016 in an arid environment with three drought indexes
Ababaei, Behnam and Ramezani-Etedali, Hadi. 2019. "Investigating climate change over 1957–2016 in an arid environment with three drought indexes." Theoretical and Applied Climatology. 137 (3), pp. 2977-2992. https://doi.org/10.1007/s00704-019-02793-0
Optimization of the cropping pattern of main cereals and improving water productivity: application of the water footprint concept
Ramezani-Etedali, Hadi, Ahmadaali, Khaled, Paveh, Faraz and Ababaei, Behnam. 2019. "Optimization of the cropping pattern of main cereals and improving water productivity: application of the water footprint concept." Irrigation and Drainage. 68, pp. 765-777. https://doi.org/10.1002/ird.2362
Using crop growth model stress covariates and AMMI decomposition to better predict genotype by environment interactions
Rincent, R., Malosetti, M., Collins, B., Ababaei, B., Touzy, G., Mini, A., Bogard, M., Martre, P., Le Gouis, J. and van Eeuwijk, F.. 2019. "Using crop growth model stress covariates and AMMI decomposition to better predict genotype by environment interactions." Theoretical and Applied Genetics: international journal of plant breeding research. 132 (12), pp. 3399-3411. https://doi.org/10.1007/s00122-019-03432-y
Diverging importance of drought stress for maize and winter wheat in Europe
Webber, Heidi, Ewert, Frank, Olesen, Jørgen E., Müller, Christoph, Fronzek, Stefan, Ruane, Alex C., Bourgault, Maryse, Martre, Pierre, Ababaei, Behnam, Bindi, Marco, Ferrise, Roberto, Finger, Robert, Fodor, Nándor Fodor, Gabaldón-Leal, Clara, Gaiser, Thomas, Jabloun, Mohamed, Kersebaum, Kurt-Christian, Lizaso, Jon I., Lorite, Ignacio J., ..., Wallach, Daniel. 2018. "Diverging importance of drought stress for maize and winter wheat in Europe." Nature Communications. 9. https://doi.org/10.1038/s41467-018-06525-2