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Spatiotemporal Patterns and Driving Factors of the Ecological Environmental Quality along the Jakarta–Bandung High-Speed Railway in Indonesia

Author

Listed:
  • Xin Dai

    (School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China
    Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China)

  • Jianping Chen

    (School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China
    Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China)

  • Chenli Xue

    (School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China
    Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China)

Abstract

Economic globalization and rapid urbanization have affected ecological environments in global regions to different degrees. Timely, objective and quantitative evaluations of the spatiotemporal variations in regional ecological environmental quality are the key to environmental protection and decision making. The spatial distributions of ecological environment quality levels along the Jakarta–Bandung high-speed railway from 2000 to 2020 were obtained based on Google Earth Engine and the Remote Sensing Ecological Index (RSEI). Then, the Theil–Sen median and Mann-Kendall methods were used to assess the temporal RSEI trend; the spatial autocorrelation evaluation index was used to evaluate RSEI clustering on a spatial scale. The results show that the overall ecological environmental quality from 2000 to 2020 was moderate, with temporally fluctuating changes and very significant spatial clustering. Approximately 20% of the area showed very strong changes (improvement or degradation). Areas with relatively better ecological quality were located mainly in relatively high-elevation and high-vegetation-coverage regions, while areas with poorer ecological quality were located mainly in the four major cities, including Jakarta, with concentrated populations and developed economies. The research results provide local governments with scientific suggestions regarding the synergistic development of high-speed railway construction and ecological environmental protection.

Suggested Citation

  • Xin Dai & Jianping Chen & Chenli Xue, 2023. "Spatiotemporal Patterns and Driving Factors of the Ecological Environmental Quality along the Jakarta–Bandung High-Speed Railway in Indonesia," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12426-:d:1218097
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    References listed on IDEAS

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    1. Jianbo Zhou & Wanqing Liu, 2022. "Monitoring and Evaluation of Eco-Environment Quality Based on Remote Sensing-Based Ecological Index (RSEI) in Taihu Lake Basin, China," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
    2. Zekang Yang & Jia Tian & Wenrui Su & Jingjing Wu & Jie Liu & Wenjuan Liu & Ruiyan Guo, 2022. "Analysis of Ecological Environmental Quality Change in the Yellow River Basin Using the Remote-Sensing-Based Ecological Index," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    3. Meng Luo & Shengwei Zhang & Lei Huang & Zhiqiang Liu & Lin Yang & Ruishen Li & Xi Lin, 2022. "Temporal and Spatial Changes of Ecological Environment Quality Based on RSEI: A Case Study in Ulan Mulun River Basin, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    4. Hongxuan Lu & Weiguo Liu & Hong Yang & Huanye Wang & Zhonghui Liu & Qin Leng & Youbin Sun & Weijian Zhou & Zhisheng An, 2019. "800-kyr land temperature variations modulated by vegetation changes on Chinese Loess Plateau," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
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