Crop water requirement and irrigation scheduling under climate change scenario, and optimal cropland allocation in lower kulfo catchment

  • 0Faculty of Water Resources and Irrigation Engineering, Arba Minch Water Technology Institute, Arba Minch University, Arba Minch, Ethiopia.

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Summary

This summary is machine-generated.

Climate change will increase crop water needs and reduce irrigation intervals in southern Ethiopia. Optimal land allocation for tomato, maize, and watermelon can enhance agricultural productivity and farmer benefits.

Area Of Science

  • Agricultural Science
  • Climate Science
  • Water Resource Management

Background

  • Crop water requirements and irrigation scheduling in Lower Kulfo Catchment, Ethiopia, lack assessment under climate change.
  • Suboptimal land allocation challenges crop productivity in the region.

Purpose Of The Study

  • To evaluate climate change impacts on future crop water needs and irrigation scheduling.
  • To optimize cropland allocation for enhanced agricultural productivity.

Main Methods

  • Climate model data (CMhyd) corrected projected precipitation and temperature.
  • Crop Water Assessment Tool (CWAT) estimated crop water requirements.
  • General Algebraic Modeling System (GAMS) optimized land allocation under two scenarios.

Main Results

  • Reference evapotranspiration is projected to increase by 11.9% (2030-2050) and 16.2% (2060-2080).
  • Total seasonal crop water requirements are projected to rise, necessitating shorter irrigation intervals (7 days and 5 days, respectively).
  • Optimal land allocation for tomato, maize, and watermelon yielded significant net benefits, with Scenario 1 showing higher returns.

Conclusions

  • Climate change necessitates adaptive strategies for irrigation and crop selection in Lower Kulfo Catchment.
  • Diversifying crops to include maize, tomato, and watermelon is crucial for local food security and economic benefits.
  • Findings support policymakers in promoting climate-resilient agriculture and farmer training programs.

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