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The Spatial and Temporal Evolution of Ecological Environment Quality in Karst Ecologically Fragile Areas Driven by Poverty Alleviation Resettlement

Author

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  • Zhongfa Zhou

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    National Engineering Research Center for Karst Rocky Desertification Control, Guiyang 550001, China)

  • Qing Feng

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    National Engineering Research Center for Karst Rocky Desertification Control, Guiyang 550001, China
    College of Tourism and Aviation Culture, Guizhou City Vocational College, Guiyang 550046, China)

  • Changli Zhu

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    National Engineering Research Center for Karst Rocky Desertification Control, Guiyang 550001, China)

  • Wanlin Luo

    (The Engineering Branch of the Third Institute of Surveying and Mapping of Guizhou Province, Guiyang 550001, China)

  • Lingyu Wang

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    National Engineering Research Center for Karst Rocky Desertification Control, Guiyang 550001, China)

  • Xin Zhao

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    National Engineering Research Center for Karst Rocky Desertification Control, Guiyang 550001, China)

  • Lu Zhang

    (School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    National Engineering Research Center for Karst Rocky Desertification Control, Guiyang 550001, China)

Abstract

Many scholars are skeptical about the poverty reduction effect and the ecological effect of poverty alleviation resettlement (PAR). This study evaluates the spatial and temporal evolution of the ecological environment quality (EEQ) to analyze the effectiveness of ecological restoration from PAR. Based on cloud computing using the Google Earth Engine platform, remote-sensing data were obtained and reconstructed from 2000 to 2020. The remote-sensing ecological index (RSEI) was used to analyze the spatial and temporal evolution of EEQ. The results show that the RSEI of the study area increased by 13.07% after the implementation of PAR, and the rate of increase was higher than that in the period before PAR; the Pu’an and Qinglong areas improved most obviously, in terms of the fragile ecological environment and the prominent contradiction between peasants and land. The residual trends method indicated that the contribution rate of improvement in RSEI due to PAR was 70.56%, 88.38%, and 82.96% in 2017, 2018, and 2020, respectively. An increase in RSEI was more obvious in the area with a greater relocated population and a higher corresponding coupling coordination level. PAR has a promoting effect on EEQ improvement but does not have ecological restoration benefits in every region. It is not satisfactory in terms of the degeneration of the LST indicator and the ecological impact of human wells.

Suggested Citation

  • Zhongfa Zhou & Qing Feng & Changli Zhu & Wanlin Luo & Lingyu Wang & Xin Zhao & Lu Zhang, 2022. "The Spatial and Temporal Evolution of Ecological Environment Quality in Karst Ecologically Fragile Areas Driven by Poverty Alleviation Resettlement," Land, MDPI, vol. 11(8), pages 1-20, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1150-:d:871721
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    Cited by:

    1. Xueling Zhang & Ruoxuan Huang & Yixuan Yang, 2022. "On the Landscape Activity Measure Coupling Ecological Index and Public Vitality Index of UGI: The Case Study of Zhongshan, China," Land, MDPI, vol. 11(11), pages 1-32, October.
    2. 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.

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