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Analysis of the Trends and Driving Factors of Cultivated Land Utilization Efficiency in Henan Province from 2000 to 2020

Author

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  • Henggang Zhang

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
    These authors contributed equally to this work.)

  • Chenhui Zhu

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
    These authors contributed equally to this work.)

  • Tianyu Jiao

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China)

  • Kaiyue Luo

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Xu Ma

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China)

  • Mingyu Wang

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China)

Abstract

Amid persistent global food security challenges, the efficient utilization of cultivated land resources has become increasingly critical, as optimizing Cultivated Land Utilization Efficiency (CLUE) is paramount to ensuring food supply. This study introduced a cultivated land utilization index (CLUI) based on Fractional Vegetation Cover (FVC) to assess the spatiotemporal variations in Henan Province’s CLUE. The Theil–Sen slope and the Mann–Kendall test were used to analyze the spatiotemporal variations of CLUE in Henan Province from 2000 to 2020. Additionally, we used a genetic algorithm optimized Artificial Neural Network (ANN) and a particle swarm optimization-based Random Forest (RF) model to assess the comprehensive in-fluence between topography, climate, and human activities on CLUE, in which incorporating Shapley Additive Explanations (SHAP) values. The results reveal the following: (1) From 2000 to 2020, the CLUE in Henan province showed an overall upward trend, with strong spatial heterogeneity across various regions: the central and eastern areas generally showed decline, the northern region remained stable with slight increases, the western region saw significant growth, while the southern area exhibited complex fluctuations. (2) Natural and economic factors had notable impacts on CLUE in Henan province. Among these factors, population and economic factors played a dominant role, whereas average temperature exerted an inhibitory effect on CLUE in most parts of the province. (3) The influenced factors on CLUE varied spatially, with human activity impacts being more concentrated, while topographical and climatic influences were relatively dispersed. These findings provide a scientific basis for land management and agricultural policy formulation in major grain-producing areas, offering valuable insights into enhancing regional CLUE and promoting sustainable agricultural development.

Suggested Citation

  • Henggang Zhang & Chenhui Zhu & Tianyu Jiao & Kaiyue Luo & Xu Ma & Mingyu Wang, 2024. "Analysis of the Trends and Driving Factors of Cultivated Land Utilization Efficiency in Henan Province from 2000 to 2020," Land, MDPI, vol. 13(12), pages 1-32, December.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2109-:d:1537687
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    References listed on IDEAS

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