Subjects: Biology >> Ecology submitted time 2023-05-30 Cooperative journals: 《干旱区研究》
Abstract： Many studies on grassland ecosystem degradation have been performed using vegetation coverage orproductivity indexes for evaluation. However, it is difficult to comprehensively evaluate different degrees ofgrassland degradation using a single evaluation index. Taking Bayinbuluk grassland in the Xinjiang TianshanMountains as a research object, a remote sensing method for evaluating grassland degradation based onstandardized processing sub- index coupling was proposed. The grassland vegetation coverage, average grasslayer height, and total grass yield were selected to determine the weight of the three indexes by principalcomponent analysis. The Min-Max standardized method was introduced to construct the grassland degradationindex (GDI). Finally, the degree of degradation of Bayinbuluk grassland in the Xinjiang Tianshan Mountains wasdetermined through Landsat image inversion and reasonable classification of the rate of change of grasslanddegradation index from 1986 to 2021. The results showed that GDIg has the best correlation with NDVI. In 2021,the proportion of undegraded area of Bayinbuluk grassland relative to the total area was 60.51%. The degree ofdegradation of different grassland types showed clear differences. The spatial distribution showed a trend of basinto mountain degradation. The GDIrs model could be applied to other years through the radiation registrationmethod. The degree of degradation of Bayinbuluk grassland significantly improved from 2000 to 2009 andslightly fluctuated from 2009 to 2021. The results of this research provide robust data support and a theoreticalbasis for guiding evaluation of the degree of degradation of Bayinbuluk grassland and protecting the grasslandecosystem.
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