Exploring trade-offs and synergies in the water-agriculture-ecology nexus via cropping structure optimization

  • 0State Key Laboratory of Efficient Utilization of Agricultural Water Resources, China Agricultural University, Beijing, 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei, 733000, China; Center for Agricultural Water Research in China, China Agricultural University, Beijing, 100083, China.

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Summary

This summary is machine-generated.

This study introduces a multi-objective optimization model for sustainable agriculture in water-scarce regions. The integrated optimization scenario balanced economic benefits, water efficiency, and ecosystem services.

Area Of Science

  • Agricultural Science
  • Environmental Science
  • Water Resource Management

Background

  • Increasing global food demand and freshwater scarcity strain agricultural systems, especially in arid regions.
  • Limited research comprehensively addresses trade-offs between water use, agricultural output, and ecosystem services.
  • Sustainable land management is crucial for balancing competing needs in water-scarce environments.

Purpose Of The Study

  • To develop and apply a multi-objective optimization framework (MOWAE_CAO) integrating water efficiency, economic benefits, and ecosystem services.
  • To evaluate Pareto cropping structure optimization under different policy goals within the water-agriculture-ecology nexus.
  • To identify optimal land allocation strategies for sustainable agricultural development.

Main Methods

  • Developed the MOWAE_CAO multi-objective optimization model.
  • Employed the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and entropy-weighted TOPSIS.
  • Constructed four scenarios: water efficiency, economic, ecological, and integrated optimization.

Main Results

  • The integrated optimization scenario (S4) demonstrated a balanced improvement across all sustainability criteria compared to the baseline.
  • Scenario 4 enhanced net economic benefit by 4.05% and ecosystem service value by 3.67%.
  • Crop water productivity for maize and spring wheat was improved under the integrated optimization scenario.

Conclusions

  • Integrated, data-driven optimization effectively manages trade-offs in the water-agriculture-ecology nexus.
  • The MOWAE_CAO model provides actionable insights for sustainable land-use planning in vulnerable regions.
  • Balancing economic, water, and ecological goals is achievable through comprehensive optimization.

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