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Measurement of Ecological Land Use/Cover Change and Its Varying Spatiotemporal Driving Forces by Statistical and Survival Analysis: A Case Study of Yingkou City, China

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  • Lei Zhang

    (Faculty of Resources and Environment Science, Hubei University, 368 Youyi Road, Wuhan 430062, China
    Hubei Province Key Laboratory of Regional Development and Environmental Response, 368 Youyi Road, Wuhan 430062, China)

  • Gui Jin

    (Faculty of Resources and Environment Science, Hubei University, 368 Youyi Road, Wuhan 430062, China
    Hubei Province Key Laboratory of Regional Development and Environmental Response, 368 Youyi Road, Wuhan 430062, China)

  • Qing Wan

    (School of Management, Wuhan Institute of Technology, Wuhan 430205, China)

  • Yanfang Liu

    (School of Resource and Environment Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Xiaojian Wei

    (School of Geomatics, East China University of Technology, 418 Guanglan Road, Nanchang 330013, China)

Abstract

Detecting the spatial-temporal dynamics mechanisms and driving forces of ecological land change will offer a scientific basis for the sustainable utilization and ecological protection of regions undergoing rapid urbanization. This study examined the variations in ecological land from 2000 to 2015 in Yingkou by spatial statistical analysis with four land use/cover maps (2000, 2005, 2010, and 2015) interpreted by Landsat Thematic Mapper images and Google Earth maps. This study also measured the varying spatiotemporal drivers of typical ecological land use/cover types by survival analysis. The results indicated that ecological land was the main land use/cover type, and that the area decreased over time with a large transformation into agriculture and urban lands with significant temporal dynamics. The driving mechanisms became more complicated over time, and different time-dependent covariates significantly impacted the ecological land, forest land, and wetland losses. However, the distance from the city and different ways were the most important influencing spatiotemporal variables of the loss of ecological land, forest land, and wetlands over time. This study demonstrated the combined influence of a series of factors on ecological land loss. The spatial determinants and their impacts varied over time, especially the accessibility factors.

Suggested Citation

  • Lei Zhang & Gui Jin & Qing Wan & Yanfang Liu & Xiaojian Wei, 2018. "Measurement of Ecological Land Use/Cover Change and Its Varying Spatiotemporal Driving Forces by Statistical and Survival Analysis: A Case Study of Yingkou City, China," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4567-:d:187532
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    References listed on IDEAS

    as
    1. Lei Zhang & Yanfang Liu & Xiaojian Wei, 2017. "Forest Fragmentation and Driving Forces in Yingkou, Northeastern China," Sustainability, MDPI, vol. 9(3), pages 1-19, March.
    2. Shi, Miaoying & Yin, Runsheng & Lv, Hongdi, 2017. "An empirical analysis of the driving forces of forest cover change in northeast China," Forest Policy and Economics, Elsevier, vol. 78(C), pages 78-87.
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    Cited by:

    1. Guo Cai & Yuying Lin & Fazi Zhang & Shihe Zhang & Linsheng Wen & Baoyin Li, 2022. "Response of Ecosystem Service Value to Landscape Pattern Changes under Low-Carbon Scenario: A Case Study of Fujian Coastal Areas," Land, MDPI, vol. 11(12), pages 1-23, December.
    2. Furui Xi & Gang Lin & Yanan Zhao & Xiang Li & Zhiyu Chen & Chenglong Cao, 2023. "Land Use Optimization and Carbon Storage Estimation in the Yellow River Basin, China," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    3. Xiao Ling & Yue Gao & Guoyong Wu, 2023. "How Does Intensive Land Use Affect Low-Carbon Transition in China? New Evidence from the Spatial Econometric Analysis," Land, MDPI, vol. 12(8), pages 1-26, August.
    4. Qiaowen Lin & Lu Zhang & Bingkui Qiu & Yi Zhao & Chao Wei, 2021. "Spatiotemporal Analysis of Land Use Patterns on Carbon Emissions in China," Land, MDPI, vol. 10(2), pages 1-13, February.

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