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Ecosystem Health Assessment of the Zerendy District, Kazakhstan

Author

Listed:
  • Onggarbek Alipbeki

    (Department of Geodesy and Geoinformatics, Al-Farabi Kazakh National University, Farabi Avenue 71, Almaty 050040, Kazakhstan)

  • Pavel Grossul

    (Department of Geodesy and Cartography, S. Seifullin Kazakh Agrotechnical Research University, Astana 001011, Kazakhstan)

  • Daniyar Rakhimov

    (Department of Geodesy and Geoinformatics, Al-Farabi Kazakh National University, Farabi Avenue 71, Almaty 050040, Kazakhstan)

  • Przemyslaw Kupidura

    (Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland)

  • Chaimgul Alipbekova

    (Department of Biology, Kazakh National Women’s Teacher Training University, A05C9Y7Almaty, St. Gogol 114 k1, Almaty 050000, Kazakhstan)

  • Gauhar Musaif

    (Department of Geodesy and Cartography, S. Seifullin Kazakh Agrotechnical Research University, Astana 001011, Kazakhstan)

  • Rimma Turekeldiyeva

    (Department of Ecology, M.H.Dulaty Taraz Regional University, Taraz 160000, Kazakhstan)

  • Kairat Augambaev

    (Department of Geodesy and Geoinformatics, Al-Farabi Kazakh National University, Farabi Avenue 71, Almaty 050040, Kazakhstan)

  • Maira Begaliyeva

    (Department of Geography, Land Management and Cadaster, Al-Farabi Kazakh National University, Farabi Avenue 71, Almaty 050040, Kazakhstan)

Abstract

An ecosystem health assessment (EHA) is essential for comprehensively improving the ecological environment and socio-economic conditions, thereby promoting the sustainable development of a specific area. Most previous EHA studies have focused on urbanized regions, paying insufficient attention to rural areas with urban enclaves and national natural parks. This study employed the Basic Pressure–State–Response methodological approach. The composition of indicators (35) encompassed both spatiotemporal data and socio-economic information. The random forest algorithm was used on the Google Earth Engine platform to classify and evaluate changes in land use and land cover (LULC). In addition, weighting coefficients were calculated, and driving factors were subsequently identified. The analysis revealed that the rural administrative divisions in the central part of Zerendy district, where the city of Kokshetau is situated, exhibited a relatively low level of ecosystem health (EH). The southwestern rural administrative divisions of the studied district, where the national nature park and the reserve territories are located, exhibited a higher level of EH. Other rural administrative divisions located in the eastern parts of the district generally exhibited a moderate level of EH. Interested managers can use the results of our assessment to implement adequate measures aimed at improving the health of the Zerendy district ecosystem.

Suggested Citation

  • Onggarbek Alipbeki & Pavel Grossul & Daniyar Rakhimov & Przemyslaw Kupidura & Chaimgul Alipbekova & Gauhar Musaif & Rimma Turekeldiyeva & Kairat Augambaev & Maira Begaliyeva, 2025. "Ecosystem Health Assessment of the Zerendy District, Kazakhstan," Sustainability, MDPI, vol. 17(1), pages 1-25, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:1:p:277-:d:1559078
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    References listed on IDEAS

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    1. Zhenfeng Wei & Dong Chen & Qunying Huang & Qifeng Chen & Chunxia Wei, 2025. "Temporal–Spatial Evolution and Driving Mechanism for an Ecosystem Health Service Based on the GD-MGWR-XGBOOT-SEM Model: A Case Study in Guangxi Region," Sustainability, MDPI, vol. 17(8), pages 1-20, April.

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