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A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems

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  • Ren, Dongyang
  • Xu, Xu
  • Engel, Bernard
  • Huang, Quanzhong
  • Xiong, Yunwu
  • Huo, Zailin
  • Huang, Guanhua

Abstract

Water productivity (WP) expressed as the yield produced per unit volume of water is an important indicator of water use in arid and semi-arid areas. Due to complex plant cover and hydrological processes, the quantification and assessment of WP are usually difficult to determine, especially at the regional scale. In this study, an arid irrigated agro-ecosystem in the upper Yellow River basin was selected as a case study area. Based on field observation and model simulation results, the WP of irrigation water (WPI), water applied (WP(I+P)) and evapotranspiration (WPET) were calculated. Equivalent water productivity (EWP) of irrigation water (EWPI), water applied (EWP(I+P)) and evapotranspiration (EWPET) were proposed and calculated to unify the disparate WP for various crops and natural vegetation. Results showed WPI and WP(I+P) decreased with the increase of water application for all plants except watermelon, indicating supplemental irrigation to watermelon is urgent to improve its production and WP(I+P). The spatially averaged WPET (kg m−3) was 2.47 for maize, 0.80 for sunflower, 12.3 for watermelon, 1.39 for wheat and 0.65 for natural vegetation. WPET for natural vegetation was usually lower in this salt stressed area compared with other water stressed areas. The EWP revealed the rank order of WP for different crops and natural vegetation: watermelon > wheat > maize > sunflower for EWPI; natural vegetation > wheat > watermelon > maize > sunflower for EWP(I+P); and wheat > sunflower > watermelon > maize > natural vegetation for EWPET. The relationship between EWP(I+P) and EWPET was scale dependent due to the water reuse phenomena among different land cover types and the canals through the shallow groundwater system. Ignoring natural vegetation will result in considerable bias in the estimation of the regional scale water productivity (16 % in this study). WP improvement strategies such as transferring irrigation water from less productive (sunflower) areas to productive (vegetable and natural vegetation) areas, reducing bare soil evaporation and constructing a timely and accurate irrigation-drainage system were provided.

Suggested Citation

  • Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377420309604
    DOI: 10.1016/j.agwat.2020.106481
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    as
    1. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    2. Liu, Haijun & Wang, Xuming & Zhang, Xian & Zhang, Liwei & Li, Yan & Huang, Guanhua, 2017. "Evaluation on the responses of maize (Zea mays L.) growth, yield and water use efficiency to drip irrigation water under mulch condition in the Hetao irrigation District of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 144-157.
    3. Playan, Enrique & Mateos, Luciano, 2006. "Modernization and optimization of irrigation systems to increase water productivity," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 100-116, February.
    4. Xu, Xu & Jiang, Yao & Liu, Minghuan & Huang, Quanzhong & Huang, Guanhua, 2019. "Modeling and assessing agro-hydrological processes and irrigation water saving in the middle Heihe River basin," Agricultural Water Management, Elsevier, vol. 211(C), pages 152-164.
    5. Xu, Xu & Huang, Guanhua & Sun, Chen & Pereira, Luis S. & Ramos, Tiago B. & Huang, Quanzhong & Hao, Yuanyuan, 2013. "Assessing the effects of water table depth on water use, soil salinity and wheat yield: Searching for a target depth for irrigated areas in the upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 125(C), pages 46-60.
    6. Bastiaanssen, W. G. M. & Ahmad, Mobin-ud-Din & Tahir, Z., 2003. "Upscaling water productivity in irrigated agriculture using remote-sensing and GIS technologies," Book Chapters,, International Water Management Institute.
    7. Huang, Feng & Li, Baoguo, 2010. "Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach: Part I: Method development and validation," Agricultural Water Management, Elsevier, vol. 97(7), pages 1077-1092, July.
    8. Pereira, Luis S. & Cordery, Ian & Iacovides, Iacovos, 2012. "Improved indicators of water use performance and productivity for sustainable water conservation and saving," Agricultural Water Management, Elsevier, vol. 108(C), pages 39-51.
    9. Bouman, B. A.M., 2007. "A conceptual framework for the improvement of crop water productivity at different spatial scales," Agricultural Systems, Elsevier, vol. 93(1-3), pages 43-60, March.
    10. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    11. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2019. "Hydrological complexities in irrigated agro-ecosystems with fragmented land cover types and shallow groundwater: Insights from a distributed hydrological modeling method," Agricultural Water Management, Elsevier, vol. 213(C), pages 868-881.
    12. Konukcu, F. & Gowing, J.W. & Rose, D.A., 2006. "Dry drainage: A sustainable solution to waterlogging and salinity problems in irrigation areas?," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 1-12, May.
    13. Bastiaanssen, W. & Ahmad, Mobin-ud -Din & Tahir, Z., 2003. "Upscaling water productivity in irrigated agriculture using remote-sensing and GIS technologies," IWMI Books, Reports H032648, International Water Management Institute.
    14. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Guanhua, 2018. "Growth responses of crops and natural vegetation to irrigation and water table changes in an agro-ecosystem of Hetao, upper Yellow River basin: Scenario analysis on maize, sunflower, watermelon and ta," Agricultural Water Management, Elsevier, vol. 199(C), pages 93-104.
    15. Abdelkhalik, Abdelsattar & Pascual-Seva, Nuria & Nájera, Inmaculada & Giner, Alfonso & Baixauli, Carlos & Pascual, Bernardo, 2019. "Yield response of seedless watermelon to different drip irrigation strategies under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 212(C), pages 99-110.
    16. Zhang, Huimeng & Xiong, Yunwu & Huang, Guanhua & Xu, Xu & Huang, Quanzhong, 2017. "Effects of water stress on processing tomatoes yield, quality and water use efficiency with plastic mulched drip irrigation in sandy soil of the Hetao Irrigation District," Agricultural Water Management, Elsevier, vol. 179(C), pages 205-214.
    17. Liu, Junguo & Williams, Jimmy R. & Zehnder, Alexander J.B. & Yang, Hong, 2007. "GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale," Agricultural Systems, Elsevier, vol. 94(2), pages 478-493, May.
    18. Li, Changjian & Xiong, Yunwu & Cui, Zhen & Huang, Quanzhong & Xu, Xu & Han, Wenguang & Huang, Guanhua, 2020. "Effect of irrigation and fertilization regimes on grain yield, water and nitrogen productivity of mulching cultivated maize (Zea mays L.) in the Hetao Irrigation District of China," Agricultural Water Management, Elsevier, vol. 232(C).
    19. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2015. "Assessment of irrigation performance and water productivity in irrigated areas of the middle Heihe River basin using a distributed agro-hydrological model," Agricultural Water Management, Elsevier, vol. 147(C), pages 67-81.
    20. Singh, R. & van Dam, J.C. & Feddes, R.A., 2006. "Water productivity analysis of irrigated crops in Sirsa district, India," Agricultural Water Management, Elsevier, vol. 82(3), pages 253-278, April.
    21. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
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