IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i13p6113-d1694306.html
   My bibliography  Save this article

Habitat Quality Evolution and Multi-Scenario Simulation Based on Land Use Change in the Tacheng Region

Author

Listed:
  • Zhenyu Zhang

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi 830046, China)

  • Shuangshang Qi

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi 830046, China)

  • Abudukeyimu Abulizi

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi 830046, China)

  • Yongfu Zhang

    (College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China
    Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi 830046, China)

Abstract

Habitat quality functions as a critical metric for evaluating regional ecological health and the capacity of ecosystem services. Understanding its temporal dynamics is critical for advancing ecological civilization sustainability. Focusing on the Tacheng region, this study analyzes the evolution characteristics of land use based on long-term sequential land use data from 2003 to 2023. By coupling the PLUS and InVEST models, it predicts land use change trends under three distinct scenarios for the year 2033 and assesses the spatiotemporal evolution characteristics of habitat quality in the Tacheng region from 2003 to 2033. Findings reveal: (1) The land use types in the Tacheng region are dominated by grassland and unutilized land. During 2003–2023, the area of grassland and water showed a decreasing trend, while the areas of cultivated land and unutilized land significantly increased. Among them, NDVI was identified as the primary driver influencing the expansion of cultivated land, grassland, and unutilized land in the Tacheng region, addressing the gap in quantitative contribution analysis of specific drivers in arid region studies. (2) Overall, habitat quality in the Tacheng region significantly deteriorated during 2003–2023, with areas of high habitat quality continuously decreasing and transitioning to medium and relatively low habitat quality zones. This degradation is primarily attributed to the unidirectional conversion of grassland and water into cultivated land and unutilized land. (3) Under different scenario simulations, land use and habitat quality in the Tacheng region exhibit marked differences, with habitat quality showing significant improvement, particularly under the ecological protection scenario. Compared to existing research, this study pioneers the coupling of PLUS and InVEST models in the typical arid region of the Tacheng region, implements localization of model parameters, quantifies future evolution trends of land use and habitat quality under multiple scenarios, and reveals core drivers of land use change in arid regions. This work addresses the research gap regarding habitat quality simulation and driving mechanisms in the Central Asian arid-semiarid transition zone.

Suggested Citation

  • Zhenyu Zhang & Shuangshang Qi & Abudukeyimu Abulizi & Yongfu Zhang, 2025. "Habitat Quality Evolution and Multi-Scenario Simulation Based on Land Use Change in the Tacheng Region," Sustainability, MDPI, vol. 17(13), pages 1-26, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:6113-:d:1694306
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/13/6113/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/13/6113/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jing Shi & Peiji Shi & Ziyang Wang & Lirong Wang & Yali Li, 2023. "Multi-Scenario Simulation and Driving Force Analysis of Ecosystem Service Value in Arid Areas Based on PLUS Model: A Case Study of Jiuquan City, China," Land, MDPI, vol. 12(5), pages 1-21, April.
    2. Cheng Li & Jie Zhao & Nguyen Xuan Thinh & Yantao Xi, 2018. "Assessment of the Effects of Urban Expansion on Terrestrial Carbon Storage: A Case Study in Xuzhou City, China," Sustainability, MDPI, vol. 10(3), pages 1-17, February.
    3. Yuqiong Fu & Yuqi Guo & Jingyi Lan & Jiayi Pan & Zongyi Chen & Hui Lin & Guihua Liu, 2024. "Study of the Mechanisms Driving Land Use/Land Cover Change and Water Yield in the Ganjiang River Basin Based on the InVEST-PLUS Model," Agriculture, MDPI, vol. 14(8), pages 1-21, August.
    4. Yaqian Li & Yongqiang Liu & Yan Qin & Kun Zhang & Reifat Enwer & Weiping Wang & Shuai Yuan, 2024. "Evolution and Predictive Analysis of Spatiotemporal Patterns of Habitat Quality in the Turpan–Hami Basin," Land, MDPI, vol. 13(12), pages 1-20, December.
    5. van Steenderen, Clarke J.M. & Sutton, Guy F., 2024. "Climate covariate selection influences MaxEnt model predictions and predictive accuracy under current and future climates," Ecological Modelling, Elsevier, vol. 498(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kukkonen, M.O. & Khamis, M. & Muhammad, M.J. & Käyhkö, N. & Luoto, M., 2022. "Modeling direct above-ground carbon loss due to urban expansion in Zanzibar City Region, Tanzania," Land Use Policy, Elsevier, vol. 112(C).
    2. Xinyu Ouyang & Xiangyu Luo, 2022. "Models for Assessing Urban Ecosystem Services: Status and Outlooks," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    3. Maomao Zhang & Enqing Chen & Cheng Zhang & Chen Liu & Jianxing Li, 2024. "Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value Based on the Markov–FLUS Model in Ezhou City, China," Sustainability, MDPI, vol. 16(14), pages 1-23, July.
    4. Tong Lin & Dafang Wu & Muzhuang Yang & Peifang Ma & Yanyan Liu & Feng Liu & Ziying Gan, 2022. "Evolution and Simulation of Terrestrial Ecosystem Carbon Storage and Sustainability Assessment in Karst Areas: A Case Study of Guizhou Province," IJERPH, MDPI, vol. 19(23), pages 1-19, December.
    5. Mahdis Sadat & Mahmood Zoghi & Bahram Malekmohammadi, 2020. "Spatiotemporal modeling of urban land cover changes and carbon storage ecosystem services: case study in Qaem Shahr County, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 8135-8158, December.
    6. Chaoyue Wang & Tingzhen Li & Xianhua Guo & Lilin Xia & Chendong Lu & Chunbo Wang, 2022. "Plus-InVEST Study of the Chengdu-Chongqing Urban Agglomeration’s Land-Use Change and Carbon Storage," Land, MDPI, vol. 11(10), pages 1-19, September.
    7. Xiang Li & Jiang Zhu & Tao Liu & Xiangdong Yin & Jiangchun Yao & Hao Jiang & Bing Bu & Jianlong Yan & Yixuan Li & Zhangcheng Chen, 2023. "Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China," Land, MDPI, vol. 12(6), pages 1-21, June.
    8. Hongye Li & Yutian Hu & Hao Li & Jinjie Ren & Rujie Shao & Zhicheng Liu, 2023. "Assessing the Impact of Spatiotemporal Evolution of Urbanization on Carbon Storage in the Mega-Urban Agglomeration Area: Case Study of Yangtze River Delta Urban Agglomeration, China," Sustainability, MDPI, vol. 15(19), pages 1-20, October.
    9. Wenbo Cai & Wanting Peng, 2021. "Exploring Spatiotemporal Variation of Carbon Storage Driven by Land Use Policy in the Yangtze River Delta Region," Land, MDPI, vol. 10(11), pages 1-12, October.
    10. Yi Li & Jianhui Qiu & Zheng Li & Yangfan Li, 2018. "Assessment of Blue Carbon Storage Loss in Coastal Wetlands under Rapid Reclamation," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
    11. Lili Geng & Yuanyuan Zhang & Huixian Hui & Yuhan Wang & Yongji Xue, 2023. "Response of Urban Ecosystem Carbon Storage to Land Use/Cover Change and Its Vulnerability Based on Major Function-Oriented Zone Planning," Land, MDPI, vol. 12(8), pages 1-21, August.
    12. Chen Zhang & Zhanqi Wang & Hanwen Du & Haiyang Li, 2025. "Response of Ecosystem Service Value to LULC Under Multi-Scenario Simulation Considering Policy Spatial Constraints: A Case Study of an Ecological Barrier Region in China," Land, MDPI, vol. 14(3), pages 1-26, March.
    13. Zhiluo Zhou & Xiaohuang Liu & Run Liu & Jiufen Liu & Wenjie Liu & Qiu Yang & Xinping Luo & Ran Wang & Liyuan Xing & Honghui Zhao & Chao Wang, 2025. "Sugarcane Distribution Simulation and Climate Change Impact Analysis in China," Agriculture, MDPI, vol. 15(5), pages 1-14, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:6113-:d:1694306. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.