Impact of Climate Change on Wheat Production in Algeria and Optimization of Irrigation Scheduling for Drought Periods DOI Open Access

Youssouf Ouzani,

Fatima Hiouani,

Mirza Junaid Ahmad

et al.

Water, Journal Year: 2025, Volume and Issue: 17(11), P. 1658 - 1658

Published: May 29, 2025

This study investigates the impact of climate variability on wheat production in Algeria’s semi-arid interior plains from 2014 to 2024, aiming curb challenges rainfed cultivation, optimize irrigation, and improve water productivity. The Soil–Water–Atmosphere–Plant (SWAP) model-driven approach refined irrigation scheduling mitigate climate-induced losses resource efficiency. Using historical data, soil properties, growth observations experimental farm Technical Institute for Field Crops, SWAP model was calibrated validated using one-factor-at-a-time sensitivity analysis, achieving a coefficient determination (R2) 0.93 Normalized Root Mean Squared Error (NRMSE) 17.75. Two drought-based indices, Soil Moisture Drought Index (SMDI) Crop Water Stress (CWSI), guided adaptive strategies, showing significant reduction crop failure during drought periods. Results revealed strong link between rainfall yield. Adopting 9-day interval could increase productivity 18.91 kg ha−1 mm−1, enhancing yield stability under varying climatic conditions. SMDI maintained moisture extreme drought, while CWSI optimized use normal wet years. integrates into framework, offering data-driven strategies enhance resilience. Findings support sustainable management provide practical insights policymakers farmers refine planning adaptation, contributing long-term agricultural sustainability.

Language: Английский

Impact of Climate Change on Wheat Production in Algeria and Optimization of Irrigation Scheduling for Drought Periods DOI Open Access

Youssouf Ouzani,

Fatima Hiouani,

Mirza Junaid Ahmad

et al.

Water, Journal Year: 2025, Volume and Issue: 17(11), P. 1658 - 1658

Published: May 29, 2025

This study investigates the impact of climate variability on wheat production in Algeria’s semi-arid interior plains from 2014 to 2024, aiming curb challenges rainfed cultivation, optimize irrigation, and improve water productivity. The Soil–Water–Atmosphere–Plant (SWAP) model-driven approach refined irrigation scheduling mitigate climate-induced losses resource efficiency. Using historical data, soil properties, growth observations experimental farm Technical Institute for Field Crops, SWAP model was calibrated validated using one-factor-at-a-time sensitivity analysis, achieving a coefficient determination (R2) 0.93 Normalized Root Mean Squared Error (NRMSE) 17.75. Two drought-based indices, Soil Moisture Drought Index (SMDI) Crop Water Stress (CWSI), guided adaptive strategies, showing significant reduction crop failure during drought periods. Results revealed strong link between rainfall yield. Adopting 9-day interval could increase productivity 18.91 kg ha−1 mm−1, enhancing yield stability under varying climatic conditions. SMDI maintained moisture extreme drought, while CWSI optimized use normal wet years. integrates into framework, offering data-driven strategies enhance resilience. Findings support sustainable management provide practical insights policymakers farmers refine planning adaptation, contributing long-term agricultural sustainability.

Language: Английский

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