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- W4223413721 abstract "Abstract Ecological sustainability research from the perspective of entropy has received extensive attention in recent years. Spatial entropy ( H s ) is a new form of spatial heterogeneity analysis tool that applies entropy to distinguish and characterize different landscape patterns. In order to further explore the heterogeneity expression and ecological implication of H s in the analysis of watershed ecosystem, this research takes Yanhe watershed as the study area. Based on the land use data of years 2000, 2010, and 2020, H s in combination with 10 landscape metrics was applied for the study of landscape pattern and ecological sustainability. The results showed that: 1) H s is correlated with landscape richness, aggregation and shape complexity, and it reflects the comprehensive heterogeneity information with high sensitivity to landscape variations, and also describes ecosystem stability with negative correlation; 2) The value of H s showed a gradual increase from upstream to downstream in Yanhe watershed, and it dropped as a whole during the 20 years; 3) The stability of this basin from 2010 to 2020 had a greater variation range compared with the previous ten years, and the regions with large variation were mainly distributed in the midstream and downstream areas." @default.
- W4223413721 created "2022-04-14" @default.
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- W4223413721 date "2022-03-01" @default.
- W4223413721 modified "2023-09-25" @default.
- W4223413721 title "Exploring spatial entropy in the analysis of landscape pattern and ecological sustainability in watershed ecosystem" @default.
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- W4223413721 doi "https://doi.org/10.1088/1755-1315/1004/1/012022" @default.
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