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Patterns, Trends, and Causes of Vegetation Change in the Three Rivers Headwaters Region

Author

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  • Xiongyi Zhang

    (Key Laboratory of Terrestrial Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jia Ning

    (Key Laboratory of Terrestrial Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The Three Rivers Headwaters Region (TRHR), situated in the high-altitude region of the Tibetan Plateau, represents a critical ecological security barrier for both China and Southeast Asia. In addition to providing a vital freshwater supply for China, it is also one of the most biodiverse areas in the world. However, the region is characterized by a fragile and sensitive ecosystem, which makes it particularly vulnerable to environmental disturbances. Given the role of vegetation as a reliable indicator of ecosystem changes, investigating the patterns and drivers of vegetation change in the TRHR can provide valuable insights into the state and trajectory of its ecological system. To assess the spatiotemporal dynamics of vegetation changes in TRHR, this study constructed a comprehensive vegetation index (CVI) based on leaf area index (LAI), fractional vegetation cover (FVC), and net primary productivity (NPP). Trend analysis and significance testing were employed to detect and quantify the magnitude and direction of vegetation changes over the past two decades. Moreover, correlation analysis, spatial overlay, and statistical modeling techniques were applied to examine the relative contributions of climate, land use/cover changes, and slope altitude to CVI changes. The results showed the following: (1) the CVI in the TRHR showed an overall increasing trend from 2000 to 2019, with an average annual increase of 0.6%, indicating a positive development trend of vegetation, but with obvious spatial differences. (2) The vegetation in the TRHR has shown a marked increase over the past two decades, with significant increase accounting for 19% of the total area, mainly concentrated in the Yellow River Basin. Conversely, a significant decline in vegetation was observed in 3% of the total area, predominantly in the Yangtze River Basin. (3) Both temperature and precipitation had a positive impact on vegetation restoration in the TRHR, but the area affected by temperature was larger than that affected by precipitation. (4) The land-use regime had a discernible impact on vegetation increase, with the conversion of land use to ecological land promoting vegetation restoration. However, the efficacy of restoration efforts might have varied depending on natural resource endowments in certain regions. (5) With increasing altitude, vegetation conditions initially improved before eventually deteriorating. Conversely, as the slope increased, vegetation experienced an initial improvement before ultimately stabilizing. This study helps to understand the overall changes and driving mechanisms of vegetation in the TRHR and provides a scientific basis and decision-making reference for the dynamic adjustment of vegetation restoration and ecological engineering in the region in the future.

Suggested Citation

  • Xiongyi Zhang & Jia Ning, 2023. "Patterns, Trends, and Causes of Vegetation Change in the Three Rivers Headwaters Region," Land, MDPI, vol. 12(6), pages 1-19, May.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1127-:d:1155481
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    References listed on IDEAS

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    1. Li, Ang & Wu, Jianguo & Zhang, Xueyao & Xue, Jianguo & Liu, Zhifeng & Han, Xingguo & Huang, Jianhui, 2018. "China’s new rural “separating three property rights” land reform results in grassland degradation: Evidence from Inner Mongolia," Land Use Policy, Elsevier, vol. 71(C), pages 170-182.
    2. Zaichun Zhu & Shilong Piao & Ranga B. Myneni & Mengtian Huang & Zhenzhong Zeng & Josep G. Canadell & Philippe Ciais & Stephen Sitch & Pierre Friedlingstein & Almut Arneth & Chunxiang Cao & Lei Cheng &, 2016. "Greening of the Earth and its drivers," Nature Climate Change, Nature, vol. 6(8), pages 791-795, August.
    3. Simon N. Wood, 2020. "Inference and computation with generalized additive models and their extensions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 307-339, June.
    4. Qianying Sun & Weiwei Liu & Yanni Gao & Junsheng Li & Chunyan Yang, 2020. "Spatiotemporal Variation and Climate Influence Factors of Vegetation Ecological Quality in the Sanjiangyuan National Park," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    5. Guerra, Angélica & Roque, Fabio de Oliveira & Garcia, Letícia Couto & Ochoa-Quintero, José Manuel & Oliveira, Paulo Tarso Sanches de & Guariento, Rafael Dettogni & Rosa, Isabel M.D., 2020. "Drivers and projections of vegetation loss in the Pantanal and surrounding ecosystems," Land Use Policy, Elsevier, vol. 91(C).
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    1. Xiangbin Peng & Ruomei Tang & Junjie Li & Huanchen Tang & Zixi Guo, 2025. "Spatiotemporal Dynamics of Landscape Pattern and Vegetation Ecological Quality in Sanjiangyuan National Park," Sustainability, MDPI, vol. 17(1), pages 1-17, January.
    2. Tinghui Wang & Mengfan Gao & Qi Fu & Jinhua Chen, 2024. "Spatiotemporal Dynamics and Influencing Factors of Vegetation Net Primary Productivity in the Yangtze River Delta Region, China," Land, MDPI, vol. 13(4), pages 1-24, March.

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