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运用多种方法研究浙江沿海地区土地利用与景观的时空动态

Spatiotemporal dynamics of land use and landscape in coastal Zhejiang using multiple methods.

作者信息

Zhou Jingru, Xu Haowei, Jim Chi Yung, Oke Saheed Adeyinka, Ma Xu, Wei Lifei, Yang Xiaodong, Zhang Fei

机构信息

College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.

Key Laboratory of Ocean Space Resource Management Technology, MNR, Hangzhou 310012, China.

出版信息

iScience. 2025 Jun 12;28(7):112898. doi: 10.1016/j.isci.2025.112898. eCollection 2025 Jul 18.

DOI:10.1016/j.isci.2025.112898
PMID:40687844
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12271629/
Abstract

The coastal counties of Zhejiang Province, China, are important for economic development, marine economy, and nature conservation. This study aimed to support sustainable land-use policies through the planning and management of 35 counties, using official land-use data from 1990 to 2020. Spatial analysis methods included transition matrix, land-use intensity, landscape-pattern indices, centroid shift, and standard deviation ellipses. Results showed a "north-cropland, south-woodland" structure, together over 75% of the area. Construction land expanded steadily to 20%, mainly from cropland, woodland, and grassland (87% of outflows). Inflows mainly involved construction land, woodland, and cropland (91%). The wetland was dominated by the river channel and mudflat. Mudflat and beach made up 94% of outflows; reservoir and pond, 78% of inflows. Land-use intensity increased overall, with Pinghu highest. Grassland centroid shifted 38.74 km. Ellipses showed directional changes. Land-use diversity and spatial complexity increased, reflecting intensified human influence and offering a basis for sustainable planning and ecological restoration.

摘要

中国浙江省沿海各县对经济发展、海洋经济和自然保护具有重要意义。本研究旨在利用1990年至2020年的官方土地利用数据,通过对35个县的规划和管理来支持可持续土地利用政策。空间分析方法包括转移矩阵、土地利用强度、景观格局指数、质心转移和标准差椭圆。结果显示,超过75%的区域呈现出“北部耕地、南部林地”的结构。建设用地稳步扩展至20%,主要来自耕地、林地和草地(流出量的87%)。流入的主要是建设用地、林地和耕地(91%)。湿地以河道和泥滩为主。泥滩和海滩占流出量的94%;水库和池塘占流入量的78%。土地利用强度总体增加,平湖最高。草地质心移动了38.74公里。椭圆显示出方向变化。土地利用多样性和空间复杂性增加,反映出人类影响加剧,为可持续规划和生态恢复提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/0a14bddeedc9/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/72fe08e4f877/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/2e42c5e9786b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/215176613f5f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/72f62451bfdd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/e4a663d0f154/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/27b2656a5a01/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/292fc173e1bb/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/b7615aa50052/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/ce952fd16a28/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/793902616844/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/2d29f9d36f6f/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/0a14bddeedc9/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/72fe08e4f877/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/2e42c5e9786b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/215176613f5f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/72f62451bfdd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/e4a663d0f154/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/27b2656a5a01/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/292fc173e1bb/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/b7615aa50052/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/ce952fd16a28/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/793902616844/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/2d29f9d36f6f/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/12271629/0a14bddeedc9/gr11.jpg

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