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Monitoring Temperate Typical Steppe Degradation in Inner Mongolia: Integrating Ecosystem Structure and Function

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  • Xinru Yan

    (China Aero Geophsical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
    School of Earth Science and Mineral Resources, China University of Geosciences, Beijing 100083, China)

  • Dandan Wei

    (China Aero Geophsical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
    Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Natural Resources, Beijing 100083, China)

  • Jinzhong Yang

    (China Aero Geophsical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
    Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Natural Resources, Beijing 100083, China)

  • Weiling Yao

    (China Aero Geophsical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China)

  • Shufang Tian

    (School of Earth Science and Mineral Resources, China University of Geosciences, Beijing 100083, China)

Abstract

Under the combined effects of climate change, overexploitation, and intense grazing, temperate steppe in northern China is experiencing increasing deterioration, which is typified by a shift from structural degradation to functional disruption. Accurately tracking steppe degradation using remote sensing technology has emerged as a crucial scientific concern. Prior research failed to integrate ecosystem structure and function and lacked reference baselines, relying only on individual indicators to quantify degradation. To resolve these gaps, this study established a novel degradation evaluation index system integrating ecosystem structure and function, incorporating vegetation community distribution and proportions of degradation-indicator species to define reference states and quantify degradation severity. Analyzed spatiotemporal evolution and drivers across the temperate typical steppe (2013–2022). Key findings reveal (1) non-degraded and slightly degraded areas dominated (75.57% mean coverage), showing an overall fluctuating improvement trend; (2) minimal transitions between degradation levels, with stable conditions prevailing (59.52% unchanged area), indicating progressive degradation reversal; and (3) natural factors predominated as degradation drivers. The integrated structural–functional framework enables more sensitive detection of early degradation signals, thereby informing more effective steppe restoration management.

Suggested Citation

  • Xinru Yan & Dandan Wei & Jinzhong Yang & Weiling Yao & Shufang Tian, 2025. "Monitoring Temperate Typical Steppe Degradation in Inner Mongolia: Integrating Ecosystem Structure and Function," Sustainability, MDPI, vol. 17(20), pages 1-32, October.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9015-:d:1769056
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    References listed on IDEAS

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    1. Miyesier Jumai & Alimujiang Kasimu & Hongwu Liang & Lina Tang & Yimuranzi Aizizi & Xueling Zhang, 2023. "A Study on the Spatial and Temporal Variation of Summer Surface Temperature in the Bosten Lake Basin and Its Influencing Factors," Land, MDPI, vol. 12(6), pages 1-18, June.
    2. Yaqun Liu & Changhe Lu, 2021. "Quantifying Grass Coverage Trends to Identify the Hot Plots of Grassland Degradation in the Tibetan Plateau during 2000–2019," IJERPH, MDPI, vol. 18(2), pages 1-18, January.
    3. Zilin Zhou & Feng Cheng & Jinliang Wang & Bangjin Yi, 2023. "A Study on the Impact of Roads on Grassland Degradation in Shangri-La City," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    4. Xin Lyu & Xiaobing Li & Jirui Gong & Hong Wang & Dongliang Dang & Huashun Dou & Shengkun Li & Siyu Liu, 2020. "Comprehensive Grassland Degradation Monitoring by Remote Sensing in Xilinhot, Inner Mongolia, China," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
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