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Acta Prataculturae Sinica ›› 2025, Vol. 34 ›› Issue (4): 1-15.DOI: 10.11686/cyxb2024180

   

Evaluation of forage-livestock balance implementation via remote sensing inversion: A case study in Shandan County, Gansu Province

Xue-mei XU1(), Jia-chang JIANG2, Xin NIU1,3, Hong-wei ZHOU4, Tian-hu HAN5, Xiao-ming CAO6, Chun-yan LIANG7, Xu-dong LI1, De-cao NIU1()   

  1. 1.State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems,College of Pastoral Agriculture Science and Technology,Lanzhou University,Lanzhou 730020,China
    2.Gansu Grassland Technical Extension Station,Lanzhou 730046,China
    3.College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China
    4.Grassland Workstation in Shandan County,Zhangye 734199,China
    5.Gansu Desert Control Research Institute,Lanzhou 730071,China
    6.Institute of Ecological Conversation and Restoration,Chinese Academy of Forestry,Beijing 100091,China
    7.Gansu Lancao New Ecological Technology Corporation,Lanzhou 730050,China
  • Received:2024-05-14 Revised:2024-07-18 Online:2025-04-20 Published:2025-02-19
  • Contact: De-cao NIU

Abstract:

Evaluating the effectiveness of forage-livestock balance is crucial for the rational management of grasslands and the sustainable development of grassland livestock. In this study, we utilized remote sensing technology to obtain data on vegetation characteristics and established baseline vegetation indicators based on expert opinions. The effectiveness of forage-livestock balance implementation was assessed, and the reliability of this strategy was explored using traditional methods. Additionally, we developed a comprehensive forage-livestock balance index (CFBI) to evaluate effectiveness at the village scale. The results indicated that, based on remote sensing inversion, some grasslands in Shandan County, Gansu Province, were overgrazed in 2022, but the overgrazed area and severely overgrazed area accounted for only 1.09% of the total area. There were significant differences in the CFBI among the grasslands in various administrative villages (range, -10.91 to -3.72). The remote sensing-based method for assessing the effectiveness of forage-livestock balance provides scientific evidence for the dynamic adjustment of grazing and non-grazing zones in Shandan County.

Key words: remote sensing inversion, forage-livestock balance, the present situation of grassland utilization, comprehensive forage-livestock balance index