Acta Geographica Sinica ›› 2022, Vol. 77 ›› Issue (3): 547-558.doi: 10.11821/dlxb202203004

• Theoretical and Methodological Exploration • Previous Articles     Next Articles

Spatialization method of grazing intensity and its application in Tibetan Plateau

HU Xiaoyang1,2(), WANG Zhaofeng1,2(), ZHANG Yili1,2,3, GONG Dianqing1,2   

  1. 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Beijing 100101, China
  • Received:2020-09-30 Revised:2022-01-24 Online:2022-03-25 Published:2022-05-23
  • Contact: WANG Zhaofeng;
  • Supported by:
    The Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0603);Program of National Natural Science Foundation of China(41861134038);The Strategic Priority Research Program of Chinese Academy of Sciences(XDA20040201)


Spatialization of human activity intensity is the basis for examining regional differences of human activities and its change process, and it is also the scientific basis for accurately identifying the driving factors of land change and rationally regulating human activities. The current research on human activity intensity mostly uses mathematical methods to spatially assign indirect indicators, which lacks the reflection of the mechanism of human activity and also restricts the display of the spatial heterogeneity of human activity intensity. This paper took grazing activity on the Tibetan Plateau as the research object in an attempt to spatialize grazing intensity. First, based on grazing preferences and grassland management strategies, and from the perspective of grazing mechanism, we proposed a method to distinguish grazing areas and non-grazing areas; then, we used grazing density to measure the overall grazing pressure of grassland, and used grazing probability to describe the spatial difference of grazing pressure. In addition, we developed a spatial model of regional grazing intensity according to grazing density and grazing probability. As a case study, we used this model to spatialize grazing intensity of Zeku County, a typical pastoral area on the Tibetan Plateau, based on township-level animal husbandry data and basic physical geographic information. The results showed that the spatial model of grazing intensity we developed can reflect the spatial characteristics of grazing activity well, and the selection of direct indicators and objective assignment methods improve the accuracy of the spatialization results. It is also found that the results of this paper can more clearly reflected the spatial difference of grazing intensity within the county than the previous research results, and the change process of grazing intensity had a better coupling with the change of NDVI value over the same period. This paper could provide a useful reference for the research on spatialization methods of human activities.

Key words: human activity, grazing intensity, grazing density, grazing probability, Tibetan Plateau