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Optimizing arable land suitability evaluation using improved suitability functions in the Anning River Basin.

Fang Luo1,2, Li He3,4, Zhongsheng Chen5

  • 1State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China.

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|November 21, 2024
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Summary

This study introduces improved rules for arable land suitability evaluation (ALSE) functions, enhancing accuracy for sustainable agriculture. New methods offer a better approach to assessing land potential and resource utilization.

Keywords:
Anning River BasinArable land evaluationDry-hot valleySuitability evaluationSuitability function

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Area of Science:

  • Agricultural Science
  • Environmental Science
  • Land Use Planning

Background:

  • Arable land suitability evaluation (ALSE) is crucial for agricultural development and food security.
  • Traditional ALSE methods face limitations due to land use structures.
  • Novel ALSE function methods are needed to overcome these constraints.

Purpose of the Study:

  • To propose new rules for constructing suitability proportion functions for ALSE.
  • To enhance the applicability and accuracy of suitability functions in ALSE.
  • To provide a more convenient approach to ALSE.

Main Methods:

  • Development of novel rules for constructing suitability proportion functions.
  • Application of original and improved functions to assess current and potential arable land (CAL and PAL).
  • Correlation analysis to compare evaluation results and assess accuracy.

Main Results:

  • In the Anning River Basin, 94% of CAL is suitable, with significant potential in PAL (66.1% suitable).
  • The arid and warm river valley area shows exceptional agricultural conditions, with high suitability for both CAL and PAL.
  • Improved ALSE functions yield results closer to reality compared to original functions.

Conclusions:

  • The study successfully enhanced ALSE accuracy using improved suitability functions.
  • A new, more accurate approach for ALSE has been provided.
  • Findings offer valuable insights for regional arable land resource utilization and sustainable agricultural development.