Journal of Guangxi Normal University(Natural Science Edition) ›› 2026, Vol. 44 ›› Issue (1): 199-214.doi: 10.16088/j.issn.1001-6600.2025010204

• Ecology and Environmental Science Research • Previous Articles     Next Articles

Impact of Urban Land Use Evolution on Landscape Pattern and Ecosystem Service Value in Jianghuai Region, China

ZHANG Xiaorui1,2*, CHEN Yu1, WANG Zhenbo3   

  1. 1. College of Architecture and Art, Hefei University of Technology, Hefei Anhui 230601, China;
    2. Digital Human Settlements Laboratory, Hefei University of Technology, Hefei Anhui 230601, China;
    3. Institute of Geographic Sciences and Resources, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2025-01-02 Revised:2025-04-02 Online:2026-01-05 Published:2026-01-26

Abstract: The Jianghuai Region, situated in a transitional zone between northern and southern China, is characterized by ecological significance encompassing biodiversity, climate regulation, agricultural productivity, and ecosystem services. Chuzhou City, a critical transportation hub with interlaced distributions of terraces, hills, and plains, was selected as a case study due to its representative Jianghuai geographical features. Based on land use data from 2000, 2010, and 2020, the spatiotemporal evolution of land use and landscape patterns in Chuzhou City during 2000-2020 was analyzed using land transfer matrices, landscape pattern indices, and gray correlation analysis. A Flus model was employed to predict land use scenarios for 2030. A comprehensive evaluation was conducted on land use evolution, landscape pattern dynamics, ecosystem service value (ESV) changes, and correlations between ESV and landscape patterns. The results indicated: 1)Cropland remained the dominant landscape type, while construction land expanded continuously. Forest area increased, whereas cropland and grassland decreased during 2000-2020. 2)Landscape patterns exhibited notable fragmentation and complexity over the study period. 3)Total ESV initially rose then declined, showing an overall downward trend. Water bodies contributed predominantly to ESV, with spatially clustered distributions. 4)At the landscape level, ESV correlated closely with the largest patch index (LPI), juxtaposition index (IJI), landscape shape index (LSI), and patch density (PD). At the patch type level, associations between landscape indices and ESV demonstrated both consistency and divergence. 5)By 2030, land use change are projected to feature outward expansion from Langya District’s urban core. Construction land dispersion is predicted to intensify, accompanied by improved ecological risk resilience, cyclical fluctuations in landscape metrics, and a 78-million-yuan increase in total ESV. This study provides theoretical references for optimizing landscape configurations and formulating land use policies in Jianghuai cities.

Key words: ecosystem service values, land use, landscape pattern, grey corellation model, Flus model, Chuzhou City, China

CLC Number:  X171.1
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