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Comprehensive Research on Remote Sensing Monitoring of Grassland Degradation: A Case Study in the Three-River Source Region, China

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Listed:
  • Ying Zhang

    (Department of Ecology, School of Life Science, Nanjing University, Nanjing 210046, China
    School of Life Sciences, Fudan University, Shanghai 200438, China)

  • Chaobin Zhang

    (Department of Ecology, School of Life Science, Nanjing University, Nanjing 210046, China)

  • Zhaoqi Wang

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Ru An

    (School of Earth Science and Engineering, Hohai University, Nanjing 210098, China)

  • Jianlong Li

    (Department of Ecology, School of Life Science, Nanjing University, Nanjing 210046, China)

Abstract

In this study, we proposed climate use efficiency (CUE), a new index in monitoring grassland ecosystem function, to mitigate the disturbance of climate fluctuation. A comprehensive evaluation index (EI), combining with actual vegetation net primary productivity (NPP), CUE, vegetation coverage, and surface bareness, was constructed for the dynamic remote sensing monitoring of grassland degradation/restoration on a regional scale. By using this index, the grassland degradation/restoration in the Three-River Source Region (TRSR) was quantitatively evaluated during 2001–2016, which has been an important ecological barrier area in China. Results showed the following: During the study period, the grassland of Yellow River source (SRYe) had high vegetation coverage, NPP, CUE, and low bareness, whereas Yangtze River source (SRYa) had low vegetation coverage, NPP, CUE, and high bareness. The vegetation coverage and CUE of the grassland showed upward trends, with annual change rates of 0.75% and 0.45% year −1 . The surface bareness and NPP showed downward trends, with annual change rates of −0.37% year −1 and −0.24 g C m −2 yr −2 , respectively. Assessment of EI revealed that 67.18% of the grassland of TRSR showed a recovery trend during the study period. The overall restoration of the SRYe was the best, followed by SRYa. However, the status of Lancang River source (SRLa) was poor.

Suggested Citation

  • Ying Zhang & Chaobin Zhang & Zhaoqi Wang & Ru An & Jianlong Li, 2019. "Comprehensive Research on Remote Sensing Monitoring of Grassland Degradation: A Case Study in the Three-River Source Region, China," Sustainability, MDPI, vol. 11(7), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:1845-:d:217582
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    Citations

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    Cited by:

    1. Ke Zhang & Wei Wei & Li Yin & Jie Zhou, 2023. "Spatial-Temporal Evolution Characteristics and Mechanism Analysis of Urban Space in China’s Three-River-Source Region: A Land Classification Governance Framework Based on “Three Zone Space”," Land, MDPI, vol. 12(7), pages 1-17, July.
    2. Yaowen Kou & Quanzhi Yuan & Xiangshou Dong & Shujun Li & Wei Deng & Ping Ren, 2023. "Dynamic Response and Adaptation of Grassland Ecosystems in the Three-River Headwaters Region under Changing Environment: A Review," IJERPH, MDPI, vol. 20(5), pages 1-30, February.
    3. Feng Zhang & Xiasong Hu & Jing Zhang & Chengyi Li & Yupeng Zhang & Xilai Li, 2022. "Change in Alpine Grassland NPP in Response to Climate Variation and Human Activities in the Yellow River Source Zone from 2000 to 2020," Sustainability, MDPI, vol. 14(14), pages 1-15, July.

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