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Temporal and Spatial Differentiation of Cultivated Land and Its Response to Climatic Factors in Complex Geomorphic Areas—A Case Study of Sichuan Province of China

Author

Listed:
  • Qing Xiang

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Huan Yu

    (College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)

  • Xiaoyu Xu

    (Department of Geography and Environmental Resources & Environmental Resources and Policy, Southern Illinois University Carbondale, Carbondale, IL 62901, USA)

  • Hong Huang

    (College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China)

Abstract

Analyzing the distribution characteristics and influencing factors of cultivated land in complex geomorphic areas is significant in evaluating the agricultural farming environment and formulating cultivated land protection measures. This study extracted cultivated land information based on multi-source remote sensing data, and analyzed the geomorphic differentiation of cultivated land distribution and climate response from 2000 to 2020 using the Gini coefficient, spatial autocorrelation analysis and geographic detector. The results show that cultivated land is mainly distributed in low-altitude hills and low-altitude small undulating mountains, and secondarily in low-altitude alluvial and proluvial plains and platforms. Moreover, from 2000 to 2020, the cultivated land in the high-altitude and high-altitude undulating mountains and medium and high-altitude undulating mountains in the Northwest Plateau of Sichuan showed an upward trend, while the cultivated land in the Sichuan Basin mainly increased from the north and south to the middle of the basin. In addition, the highest temperature has the strongest ability to explain the spatial heterogeneity of cultivated land. From the calculation results of the influence coefficient of a single climatic factor and the combined effect of multiple climatic factors, the main factors that affect the distribution of cultivated land are different in different geomorphological regions. Finally, it is proposed to formulate a long-term strategy for agricultural production to adapt to climate change in complex geomorphic areas in order to reduce the negative impact of environmental change on agricultural production.

Suggested Citation

  • Qing Xiang & Huan Yu & Xiaoyu Xu & Hong Huang, 2022. "Temporal and Spatial Differentiation of Cultivated Land and Its Response to Climatic Factors in Complex Geomorphic Areas—A Case Study of Sichuan Province of China," Land, MDPI, vol. 11(2), pages 1-18, February.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:2:p:271-:d:746476
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    References listed on IDEAS

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    1. Omaid Najmuddin & Xiangzheng Deng & Ruchira Bhattacharya, 2018. "The Dynamics of Land Use/Cover and the Statistical Assessment of Cropland Change Drivers in the Kabul River Basin, Afghanistan," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
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    Cited by:

    1. He Liu & Xueming Li, 2022. "Understanding the Driving Factors for Urban Human Settlement Vitality at Street Level: A Case Study of Dalian, China," Land, MDPI, vol. 11(5), pages 1-20, April.
    2. Tao Liang & Weilin Tao & Yan Wang & Na Zhou & Wei Hu & Tao Zhang & Dunxiu Liao & Xinping Chen & Xiaozhong Wang, 2023. "The Extension of Vegetable Production to High Altitudes Increases the Environmental Cost and Decreases Economic Benefits in Subtropical Regions," Land, MDPI, vol. 12(3), pages 1-15, March.
    3. Xiaofu Lin & Hui Fu, 2022. "Spatial-Temporal Evolution and Driving Forces of Cultivated Land Based on the PLUS Model: A Case Study of Haikou City, 1980–2020," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    4. Yiming Sang & Liangjie Xin, 2023. "Factors Determining Concurrent Reclamation and Abandonment of Cultivated Land on the Qinghai-Tibet Plateau," Land, MDPI, vol. 12(5), pages 1-17, May.
    5. Guanglian Luo & Bin Wang & Ruiwei Li & Dongqi Luo & Chaofu Wei, 2022. "Study of the Agglomeration Characteristics of Cultivated Land in Underdeveloped Mountainous Areas Based on Spatial Auto-Correlation: A Case of Pengshui County, Chongqing, China," Land, MDPI, vol. 11(6), pages 1-14, June.

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