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Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000–2020

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  • Qingxia Peng

    (College of Digital Economy, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Institute of Agroecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Dongqing Wu

    (Institute of Agroecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Wenxiong Lin

    (Institute of Agroecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Shuisheng Fan

    (College of Rural Revitalization, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Kai Su

    (College of Digital Economy, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Institute of Agroecology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Ecological Civilization Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

Investigating the spatial-temporal evolution of land use and its driving forces provides a scientific basis for policy formulation, land-use structure adjustment, and ecological civilization development. Using the Google Earth Engine (GEE) platform, this study analyzed remote sensing images from 2000, 2010, and 2020 to derive basic land-use data for Putian City and its five districts and counties. These data were then systematically analyzed using methodologies such as Single Land-use Dynamics and Geo-informatic Tupu to reveal the characteristics of land-use transitions (LUTs), and the spatial-temporal evolution pattern over the past two decades in Putian City, China. Subsequently, socioeconomic conditions and macro policies were identified as driving factors to further explore the mechanisms behind land-use evolution in the study area through canonical correspondence analysis (CCA). The findings revealed that: (1) The predominant land-use structure in Putian City consisted mainly of cultivated land and forest land, with other land types interspersed within them, while built-up land exhibited continual outward expansion. (2) Various regions within Putian City exhibited varying degrees of abandoned farmland, ultimately transforming into wasteland (grassland) with weed growth, presenting significant challenges for ensuring food security and mitigating the conversion of cultivated land to non-agricultural and non-grain uses. (3) Specific macro-economic development objectives during distinct periods, particularly urban expansion and the growth of the secondary industry resulting from municipal and county mergers, emerged as pivotal factors driving the spatial and temporal evolution of land use and influenced the differential distribution pattern across Putian City. Consequently, this study suggests bolstering scientific planning and implementing effective regulations concerning land use, and it advocates for the efficient utilization of space-time resources pertaining to cultivated land, integrating them with agriculture, culture, and tourism endeavors. Such measures are proposed to ensure the harmonized and sustainable development of the regional ecological economy.

Suggested Citation

  • Qingxia Peng & Dongqing Wu & Wenxiong Lin & Shuisheng Fan & Kai Su, 2024. "Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000–2020," Sustainability, MDPI, vol. 16(9), pages 1-26, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3549-:d:1381674
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    References listed on IDEAS

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    1. Zhenggen Fan & Qingqing Luo & Hu Yu & Ji Liu & Wentong Xia, 2023. "Spatial–Temporal Evolution of the Coupling Coordination Degree between Water and Land Resources Matching and Cultivated Land Use Eco-Efficiency: A Case Study of the Major Grain-Producing Areas in the ," Land, MDPI, vol. 12(5), pages 1-18, April.
    2. Tamara Krawchenko & John Tomaney, 2023. "The Governance of Land Use: A Conceptual Framework," Land, MDPI, vol. 12(3), pages 1-11, March.
    3. Punzo, Gennaro & Castellano, Rosalia & Bruno, Emma, 2022. "Using geographically weighted regressions to explore spatial heterogeneity of land use influencing factors in Campania (Southern Italy)," Land Use Policy, Elsevier, vol. 112(C).
    4. Lu, Xiao & Shi, Yangyang & Chen, Changling & Yu, Miao, 2017. "Monitoring cropland transition and its impact on ecosystem services value in developed regions of China: A case study of Jiangsu Province," Land Use Policy, Elsevier, vol. 69(C), pages 25-40.
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    Cited by:

    1. Kangjian Zhou & Xungang Zheng, 2025. "How Does the Growth of Digital Technology Influence Farmland Abandonment? Evidence from Rural China," Sustainability, MDPI, vol. 17(5), pages 1-19, March.

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