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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Environmental Informatics and Remote Sensing
Volume 12 - 2024 | doi: 10.3389/fenvs.2024.1446313

Spatial-temporal Variation and Influencing Factors of Ecological Environment Quality in Jilin Province(China)

Provisionally accepted
Feiyu Wang Feiyu Wang 1Yang Han Yang Han 1*Yaping Xu Yaping Xu 2,3Ruifei Zhu Ruifei Zhu 4*Chunmei Qu Chunmei Qu 4*Peng Zhang Peng Zhang 4*Stanton Martin Stanton Martin 5Lijuan Zhuang Lijuan Zhuang 1Zhuxin Liu Zhuxin Liu 1*Jiani Zhang Jiani Zhang 1*Fang Huang Fang Huang 1
  • 1 School of Geographical Sciences, Northeast Normal University, Changchun, Jilin Province, China
  • 2 Northeast Normal University, Changchun, China
  • 3 Department of Plant Sciences, The University of Tennessee, Knoxville, Knoxville, Tennessee, United States
  • 4 Chang Guang Satellite Technology Company, Chang Chun, China
  • 5 Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, Tennessee, United States

The final, formatted version of the article will be published soon.

    Jilin Province is a crucial region of interest for agricultural and forestry development in China. The deterioration of its ecological environment could have a severe impact on agricultural production and ecological conservation. A systematic assessment of ecological environment quality in Jilin Province is essential for its sustainable development. In this study, we utilized Landsat data from 1990 to 2020 (every five years) to construct the Remote Sensing Ecological Index (RSEI) for Jilin Province. We applied the Sen's slope estimator and the Mann-Kendall trend test to examine the spatiotemporal changes in ecological environment quality over a 30-year period. Additionally, we employed the Geo-detector to explore the socioeconomic and natural factors influencing ecological environment quality. The results revealed: (1) From 1990 to 2020, the average RSEI index in Jilin Province ranged from 0.586 to 0.699, indicating overall good ecological environment quality. Spatially, ecological environment quality gradually declined from east to west. (2) The RSEI in Jilin Province exhibited an initial increase, followed by a decrease, and then another increase trend. This improvement can be attributed to the implementation of government policies, which reversed the expansion of salinealkali land. Ecological environment quality significantly improved in the western region of Jilin Province over the 30-year period. (3) Socioeconomic and natural factors both influence ecological environment quality in Jilin Province. Among these factors, vegetation coverage has the most significant impact on the ecological environment quality in the study area, with natural factors exerting a more significant influence than socioeconomic factors.

    Keywords: Remote sensing ecologic index, Google Earth Engine, Geo-detector, trend analysis, Jilin Province

    Received: 09 Jun 2024; Accepted: 11 Jul 2024.

    Copyright: © 2024 Wang, Han, Xu, Zhu, Qu, Zhang, Martin, Zhuang, Liu, Zhang and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yang Han, School of Geographical Sciences, Northeast Normal University, Changchun, 130024, Jilin Province, China
    Ruifei Zhu, Chang Guang Satellite Technology Company, Chang Chun, China
    Chunmei Qu, Chang Guang Satellite Technology Company, Chang Chun, China
    Peng Zhang, Chang Guang Satellite Technology Company, Chang Chun, China
    Zhuxin Liu, School of Geographical Sciences, Northeast Normal University, Changchun, 130024, Jilin Province, China
    Jiani Zhang, School of Geographical Sciences, Northeast Normal University, Changchun, 130024, Jilin Province, China

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