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Projection of 21st century irrigation water requirements for sensitive agricultural crop commodities across the Czech Republic

Author

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  • Potopová, V.
  • Trnka, M.
  • Vizina, A.
  • Semerádová, D.
  • Balek, J.
  • Chawdhery, M.R.A.
  • Musiolková, M.
  • Pavlík, P.
  • Možný, M.
  • Štěpánek, P.
  • Clothier, B.

Abstract

This study quantified the crop water consumption, crop-specific irrigation requirements, and availability of water resources to catchments under climate change in the Czech Republic (CZ). Within the SoilClim model and BILAN-WATERES hydrological water balance modeling process, we tried to answer the question of whether there are at least theoretical water resources in the individual catchments of the CZ that could cover possible higher demands for irrigation. An ensemble of five global climate models under the moderate representative concentration pathway (RCP4.5) from the EURO-CORDEX initiative was chosen to project the future water use indicators. The irrigation water requirement indicators for the growing season (GS) of vineyards, hop gardens, orchards, vegetables, and fodder crops were calculated in 1143 catchments for two periods, 2031–2050 (Sc1) and 2061–2080 (Sc2), compared to the observed period 1961–2020 (Obs). To project irrigation scenarios in agricultural water management, the following water use indicators were quantified: relative soil moisture at 0–40 cm (AWR1) and 0–100 cm (AWR), crop water balance (Rain-ETa), irrigation water requirement (Irrig), and the ratio of actual and reference evapotranspiration (ETratio). To assess areas with a critically low water supply and quantify the frequency of water deficit during the GS of each crop, we calculated the number of days with extreme values of water use indicators. Quantification of the extreme irrigation characteristics reflected the highest depletion of soil moisture and the highest water demands, i.e., when the assessed indicators reached the 25th percentiles. For highly marketable vegetables, the largest deficit in Rain-ETa during the GS for Sc1 was projected. If current vegetable growing areas and cropping systems remain unchanged, Irrig will increase by 10.2% by the end of the 21st century under RCP4.5. Although current potato planting areas have soils with a high available water capacity, they will become controlled by the water deficit over the next few decades. The accumulated vineyard water required suggests that 15% and 25% of irrigation water will be lost by evaporation from the soil surface during the 2030s and 2080s, respectively. However, changes in future hopyard irrigation extent and amounts may have important implications in largely cropped irrigation hotspots. In the main traditional hop region for the 2030s, we project a 25% depletion of soil moisture and an increase of ETratio< 0.4 by up to 5.3%. The projection of a high frequency of days with an ETratio< 0.4 and AWR1 < 30% for fodder crops was related to the most risk-prone areas with an extreme lack of moisture in the regions with the most developed animal production. Thus, there will be insufficient fodder supply to the livestock sector due to any water stress during the production season under climate change conditions.

Suggested Citation

  • Potopová, V. & Trnka, M. & Vizina, A. & Semerádová, D. & Balek, J. & Chawdhery, M.R.A. & Musiolková, M. & Pavlík, P. & Možný, M. & Štěpánek, P. & Clothier, B., 2022. "Projection of 21st century irrigation water requirements for sensitive agricultural crop commodities across the Czech Republic," Agricultural Water Management, Elsevier, vol. 262(C).
  • Handle: RePEc:eee:agiwat:v:262:y:2022:i:c:s0378377421006144
    DOI: 10.1016/j.agwat.2021.107337
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    1. Vera Potopová & Marie Musiolková & Juliana Arbelaez Gaviria & Miroslav Trnka & Petr Havlík & Esther Boere & Tudor Trifan & Nina Muntean & Md Rafique Ahasan Chawdhery, 2023. "Water Consumption by Livestock Systems from 2002–2020 and Predictions for 2030–2050 under Climate Changes in the Czech Republic," Agriculture, MDPI, vol. 13(7), pages 1-29, June.
    2. Dang, Chiheng & Zhang, Hongbo & Yao, Congcong & Mu, Dengrui & Lyu, Fengguang & Zhang, Yu & Zhang, Shuqi, 2024. "IWRAM: A hybrid model for irrigation water demand forecasting to quantify the impacts of climate change," Agricultural Water Management, Elsevier, vol. 291(C).
    3. Md Rafique Ahasan Chawdhery & Murtuza Al-Mueed & Md Abdul Wazed & Shah-Al Emran & Md Abeed Hossain Chowdhury & Sk Ghulam Hussain, 2022. "Climate Change Impacts Assessment Using Crop Simulation Model Intercomparison Approach in Northern Indo-Gangetic Basin of Bangladesh," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    4. Potopová, V. & Trifan, T. & Trnka, M. & De Michele, C. & Semerádová, D. & Fischer, M. & Meitner, J. & Musiolková, M. & Muntean, N. & Clothier, B., 2023. "Copulas modelling of maize yield losses – drought compound events using the multiple remote sensing indices over the Danube River Basin," Agricultural Water Management, Elsevier, vol. 280(C).

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