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Spatio-Temporal Changes in Land Use and Habitat Quality of Hobq Desert along the Yellow River Section

Author

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  • Ruibing Meng

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China
    These authors contributed equally to this work.)

  • Jiale Cai

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China
    These authors contributed equally to this work.)

  • Hui Xin

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Zhongju Meng

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Xiaohong Dang

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Yanlong Han

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

Abstract

As a key area in the Yellow River basin for sand control and management, the land change process in the Hobq Desert plays a crucial role in keeping the river and desert ecosystems and promoting the construction of ecological civilization in human systems. Based on multi-temporal remote sensing from 1991 to 2019 in the Hobq Desert along the Yellow River section, this study selected spatial statistical methods (land-use monitoring and landscape metrics) to examine land-use change dynamics. Then, we evaluated habitat quality using the InVEST model and quantitatively analyzed the factors causing spatial changes in habitat quality using geographic detectors. Finally, this paper predicted the pattern of land use and habitat quality in 2030 using the PLUS model. The results reveal that (1) from 1991 to 2019, the total area of forest grassland increased by 3572.5 km 2 , providing the most vegetation cover, and the sandy land and water area decreased continuously, while the cultivated land and construction land increased. There were 38.01% conversions of land types, with the land-use dynamic decreasing the greatest in sandy land (−12.66%) and increasing the greatest in construction land (9.26%); the comprehensive land-use dynamics were the highest in 2010–2019 (1.68%), which was the most active stage during our study period. (2) Both of the landscape indices NP and PD showed “N” type fluctuations during 1991–2019, and CONTAG and LSI rose from 69.19% to 70.29% and 36.01% to 38.89%, respectively, indicating that the land-use degree of landscape fragmentation increased, landscape connectivity turned better, and landscape dominance was enhanced, balanced, and developed evenly in overall landscape type. (3) From the overall region analysis, the average habitat quality in 1991, 2000, 2010, and 2019 was 0.3565, 0.5108, 0.5879, and 0.6482, respectively, with the overall habitat value showing a gradually increasing trend. Spatially, the habitat quality along the Yellow River section of the Hobq Desert has a certain regularity, and the overall pattern there is high in the south and low in the north, high in the east and west, and low in the middle. (4) The change in land use between 2019 and 2030 is similar to the previous period, but the change rate is generally lower. The habitat quality improved significantly, with the growth of high and medium habitat quality.

Suggested Citation

  • Ruibing Meng & Jiale Cai & Hui Xin & Zhongju Meng & Xiaohong Dang & Yanlong Han, 2023. "Spatio-Temporal Changes in Land Use and Habitat Quality of Hobq Desert along the Yellow River Section," IJERPH, MDPI, vol. 20(4), pages 1-24, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3599-:d:1072264
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    References listed on IDEAS

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    1. Ning He & Wenxian Guo & Hongxiang Wang & Long Yu & Siyuan Cheng & Lintong Huang & Xuyang Jiao & Wenxiong Chen & Haotong Zhou, 2023. "Temporal and Spatial Variations in Landscape Habitat Quality under Multiple Land-Use/Land-Cover Scenarios Based on the PLUS-InVEST Model in the Yangtze River Basin, China," Land, MDPI, vol. 12(7), pages 1-19, July.
    2. Yang Wang & Ziyi Sheng & Haowei Wang & Xuan Xue & Jiaxin Hu & Yuhai Yang, 2024. "Characterization and Multi-Scenario Prediction of Habitat Quality Evolution in the Bosten Lake Watershed Based on the InVEST and PLUS Models," Sustainability, MDPI, vol. 16(10), pages 1-23, May.

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