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Spatiotemporal Evolution of Ecological Environment Quality and Driving Factors in Jiaodong Peninsula, China

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  • Wenhui Guo

    (School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
    Qingdao Municipal People’s Government Weather Modification Office, Meteorological Bureau, Qingdao 266003, China)

  • Ranghui Wang

    (School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

To monitor the Ecological Environment Quality (EEQ) of the Jiaodong Peninsula and provide a scientific basis for ecological environment governance and sustainable development in the region, this study evaluates the EEQ of Jiaodong using the Remote Sensing-based Ecological Index (RSEI) model and analyzes its spatiotemporal evolution patterns, building upon single-factor correlation analysis using the Random Sample Consensus (RANSAC) algorithm, using GeoDetector to analyze the driving mechanisms of human activities and natural factors in EEQ. The results indicate the following: (1) The average RSEI values for 2000, 2010, and 2020 are 0.60, 0.57, and 0.66, with Good or Excellent areas accounting for 56.48%, 51.02%, and 67.17%. From 2000 to 2020, RSEI strong improvement areas were predominantly distributed in the eastern hilly areas of the Jiaodong Peninsula. The RSEI of the Jiaodong Peninsula showed significant spatial autocorrelation. (2) The RANSAC algorithm effectively reduces noise interference in remote sensing data, thereby improving the accuracy of single-factor correlation analysis. (3) In 2000, the importance of natural factors exceeds that of human activity factors. The Standardized Precipitation Evapotranspiration Index (SPEI) is the most important driving factor; while in 2010 and 2020, human activity factors surpass natural factors in importance, with the Land Use Composite Index (LUCI) being the most significant driving factor. The driving factors exhibited double-factor and nonlinear enhancement. The most significant interaction factors affecting the EEQ of the Jiaodong Peninsula in 2000, 2010, and 2020 are SPEI∩GDP, LUCI∩SPEI, and LUCI∩GDP.

Suggested Citation

  • Wenhui Guo & Ranghui Wang, 2024. "Spatiotemporal Evolution of Ecological Environment Quality and Driving Factors in Jiaodong Peninsula, China," Sustainability, MDPI, vol. 16(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3676-:d:1384587
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    References listed on IDEAS

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    1. Na Chen & Gang Cheng & Jie Yang & Huan Ding & Shi He, 2023. "Evaluation of Urban Ecological Environment Quality Based on Improved RSEI and Driving Factors Analysis," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    2. Lili Pu & Chengpeng Lu & Xuedi Yang & Xingpeng Chen, 2023. "Spatio-Temporal Variation of the Ecosystem Service Value in Qilian Mountain National Park (Gansu Area) Based on Land Use," Land, MDPI, vol. 12(1), pages 1-19, January.
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