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Journal of Agriculture ›› 2023, Vol. 13 ›› Issue (5): 50-57.doi: 10.11923/j.issn.2095-4050.cjas2022-0051

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Dynamic Analysis of Landscape Ecological Pattern in Minhe County of Qinghai Province

YE Xiaozheng1(), ZHANG Jinxu2(), HOU Zhiguo3   

  1. 1Qinghai Water Resources and Hydropower Research Institute Co., Ltd., Xining 810001, Qinghai, China
    2Qinghai Engineering Technology Research Center of Water Resources Efficient Utilization, Xining 810001, Qinghai, China
    3Qinghai Provincial Key Laboratory of Watershed Water Cycle and Ecology, Xining 810001, Qinghai, China
  • Received:2022-05-07 Revised:2022-11-28 Online:2023-05-20 Published:2023-05-16

Abstract:

The paper aims to study the landscape distribution law and land use degree in Minhe County of Qinghai Province in recent 20 years. With the support of GIS technology, this study took Minhe County in Qinghai Province as the research object, selected the global land cover data GlobeLand30 in 2000, 2010 and 2020, established a classification system according to the GlobeLand30 classification standard, and obtained the area of each landscape type and the change in the 20 years by the land type transfer matrix. Finally, Fragstats4 landscape analysis software was used to select 9 major landscape indicators to make a comparative analysis of patch type and landscape level of landscape pattern in Minhe County. The results showed that: (1) the area of artificial land increased the most, and the area of cultivated land decreased the most; among them, the tendency of cultivated land transformed into artificial land was particularly obvious; (2) grassland and cultivated land had the highest degree of fragmentation, and the wetland was less fragmented; (3) the overall land use degree index increased, and the land use effect was obvious. The dynamic analysis of landscape ecological pattern plays an important role in regional land use planning and lays a foundation for future regional ecological and environmental protection.

Key words: Minhe County, landscape pattern, land use transfer matrix, dynamic analysis, land use degree