闽南地区植被恢复动态及其对道路网络的响应

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Abstract Based on Landsat8(OLI) remote sensing data and road network data from 2013 to 2020 in southern Fujian (Xiamen, Zhangzhou, Quanzhou), the Sen+Mann-Kendall method was used to analyze the vegetation restoration dynamics in southern Fujian. On this basis, the response of dynamic vegetation restoration to road network was studied by using buffer analysis and profile analysis. In addition, bivariate spatial autocorrelation and geographically weighted regression were used to explore the spatial coupling relationship between cell grids of different scales (500m×500m, 1000m×1000m, 1500m×1500m, 2000m×2000m). The results shows that from 2013 to 2020, there were significant differences in the spatial distribution of vegetation change dynamics in southern Fujian, showing a trend of degradation in the eastern coastal areas and improvement in the western inland areas. The area of degradation and improvement accounted for 47.93% and 50.07% of the study area. The buffer zone analysis shows that the relationship between road density and vegetation restoration state in the three cities is roughly similar, showing a pattern of high road density but vegetation degradation in the eastern coastal area and low road density but vegetation improvement in the western inland area. Along the section line, the vegetation index decreases in the area near the coastline, the area with high density of road kernel and the area with dynamic change of kernel density. The multi-scale bivariate spatial autocorrelation analysis shows that the spatial agglomeration of the two sampling units of 1500m×1500m and 2000m×2000m is higher than that of the other sampling units.The bivariate Moran's I of road network, vegetation and vegetation restoration state in the three cities of southern Fujian are all negative values. The road network is negatively correlated with vegetation and vegetation restoration state as well as negatively correlated with space. The HL (High-Low) -type and LH (Low-High) - type aggregation areas of road network and vegetation gradually expanded, and the trend of linking is obvious. The results of multi-scale geographical weighted regression analysis show that the road network has a spatial differentiation of the impact on the dynamic vegetation restoration. The negative impact of road network on vegetation expansion trend in Zhangzhou and Quanzhou, and the road network has a positive effect on vegetation restoration in local areas such as Anxi and Hua 'an, but on the whole, the road network has a inhibitory effect on vegetation restoration. The research results can provide reference for vegetation restoration and road network construction and development in the study area.

Key words： NDVI vegetation restoration road network spatial autocorrelation geographically weighted regression

Received: 03 March 2023

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X171.4

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	Articles by authors
	WU Xi
	ZHEN Shi-yong
	ZUO Xue-man
	HU Xi-sheng
	SHEN Rong-feng

Cite this article:

WU Xi,ZHEN Shi-yong,ZUO Xue-man等. Vegetation restoration dynamics and its response to road network in southern Fujian[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(S1): 288-300.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/IS1/288

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