| Citation: | PENG J T,YE C S,GAN F.Research on the relationship between landscape pattern changes and human disturbance in urban agglomeration around Poyang Lake[J].Journal of Environmental Engineering Technology，2024，14（2）：601-611 doi: 10.12153/j.issn.1674-991X.20230510
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Exploring the relationship between landscape pattern evolution and human disturbance can provide theoretical basis for regional landscape pattern optimization and ecological sustainable development. Taking the urban agglomeration around Poyang Lake as an example, the spatial and temporal changes of land use landscape pattern during 2000-2020 were analyzed, and the spatiotemporal changes of human disturbance degree and its spatial coupling relationship with landscape pattern change process were explored by using landscape pattern index, human disturbance degree model, bivariate spatial autocorrelation and other methods. The results showed that from 2000 to 2020, the land use types of the urban agglomeration around Poyang Lake were mainly cultivated land and forest land, and the construction land expanded rapidly, increasing by 188 500 hm2. The patch density, Shannon diversity index and fractal dimension showed an increasing trend, while the average patch area, spread index and aggregation index showed a decreasing trend, and the landscape fragmentation degree increased. From 2000 to 2020, the average anthropogenic disturbance degree of the urban agglomeration around Poyang Lake increased from 0.462 3 to 0.468 9, and the areas with strong anthropogenic disturbance were located in Poyang Lake plain, especially in Nanchang urban area, Nanchang County and Yingtan urban area, and the range of areas with high disturbance degree continued to expand, and the disturbance intensity gradually weakened from the middle to the edge. The low value was distributed in Poyang Lake, and construction land and cultivated land were the main types of disturbance. The degree of human disturbance was positively correlated with patch density, spread index and Shannon diversity index, and negatively correlated with average patch area and aggregation index, showing obvious spatial heterogeneity.
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