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[Correlation Between Green Space Carbon Storage and Landscape Pattern at Different Grid Scales in Harbin].

Xue LiWen LiSong Shi

2025PubMed被引 1

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摘要

t, and the carbon density of wetland was the highest. ② In 2030, the Shannon's diversity index (SHDI), Shannon's evenness index (SHEI), and landscape division index (DIVISION) all showed a downward trend under the two scenarios, with a large decline in the ND scenario, a continuous decline in the contagion index (CONTAG) under the ND scenario, and a slight increase in the EP scenario. ③ SHDI, SHEI, and DIVISION were significantly negatively correlated with green space carbon storage, while CONTAG was significantly positively correlated with green space carbon storage. The optimal analysis grid scale was 4.50 km×4.50 km. ④ The degree of linear fitting between SHDI and DIVISION and carbon storage-related models was low, while carbon storage could explain 33.82% of SHEI changes and 29.92% of CONTAG changes, respectively, and the model fit was good. In the future planning of green space in Harbin, ecological protection should be strengthened, wetland areas should be protected, afforestation should be continued, and landscape patch fragmentation should be avoided with 4.50 km as the management unit to ensure good connectivity and sprawl of cultivated land to increase carbon storage.

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Xue Li, Wen Li, Song Shi. [Correlation Between Green Space Carbon Storage and Landscape Pattern at Different Grid Scales in Harbin].[J]. PubMed, 2025.

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DOI:https://doi.org/10.13227/j.hjkx.202408164

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