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A New Grazing–Vegetation Tradeoff and Coordination Indicator: The Grazing Intensity and Vegetation Cover Harmonization Index (GVCI)

Author

Listed:
  • Qinyi Huang

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China)

  • Jianjun Chen

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
    Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China)

  • Xinhong Li

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China)

  • Hucheng Li

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China)

  • Zizhen Chen

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China)

  • Yanping Lan

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China)

  • Ming Ling

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China)

  • Haotian You

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
    Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China)

  • Xiaowen Han

    (College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
    Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China)

Abstract

Overgrazing typically leads to grassland vegetation degradation and reduction, which in turn triggers a series of ecological problems. Therefore, it is crucial to understand the effects of different Grazing Intensities (GIs) on the Vegetation Ecosystem (VE) to achieve sustainable grazing development. This study proposes a new quantitative index, the Grazing Intensity and Vegetation Cover Harmonization Index (GVCI), based on multiple indicators such as fractional vegetation cover (FVC), net primary productivity (NPP), and GI. The GVCI was used to quantify the “Harmonization and Conflict” status between GI and the VE in 39 Prefecture-Level Cities (PLCs) of the Qinghai-Tibet Plateau (QTP) and to evaluate the sustainable development level of grazing in different regions. In addition, the Random Forest (RF) model was used to simulate the GVCI development trend of various PLCs from 2015 to 2040. The results showed the following: (1) The GVCI can effectively quantify the response relationship between GI and the VE. The overall GVCI of the QTP was in the “Harmonization” state, with the proportion of areas in the “Harmonization” state fluctuating upwards. (2) The level of economic development intuitively affects the harmonization between grazing and the VE. Gross Domestic Product (GDP) is one of the important indicators of economic development level. PLCs with higher GDP levels exhibited a strong positive correlation between the GVCI and regional GDP. (3) The simulation results indicate that an increasing number of PLCs on the QTP will shift toward a “Harmonization” state. However, some PLCs in the western regions were still in an “Overload” state, and there is a need for close monitoring of their grazing activities and VE dynamics. The GVCI proposed in this study provides a novel methodology for quantifying the complex relationship between GI and the VE. It offers important scientific support for the sustainable development of grazing in ecologically fragile areas such as the QTP. The research results can be a robust scientific basis for the government to formulate reasonable grazing plans.

Suggested Citation

  • Qinyi Huang & Jianjun Chen & Xinhong Li & Hucheng Li & Zizhen Chen & Yanping Lan & Ming Ling & Haotian You & Xiaowen Han, 2024. "A New Grazing–Vegetation Tradeoff and Coordination Indicator: The Grazing Intensity and Vegetation Cover Harmonization Index (GVCI)," Agriculture, MDPI, vol. 15(1), pages 1-20, December.
    • Handle: RePEc:gam:jagris:v:15:y:2024:i:1:p:27-:d:1553407
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    References listed on IDEAS

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    1. Yanping Yang & Jianjun Chen & Yanping Lan & Guoqing Zhou & Haotian You & Xiaowen Han & Yu Wang & Xue Shi, 2022. "Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    2. Yan Li & Jie Gong & Yunxia Zhang & Bingli Gao, 2022. "NDVI-Based Greening of Alpine Steppe and Its Relationships with Climatic Change and Grazing Intensity in the Southwestern Tibetan Plateau," Land, MDPI, vol. 11(7), pages 1-16, June.
    3. 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.
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