Relationship between urban forest structure and seasonal variation in vegetation cover in Jinhua City, China

Journal article


Yang, H., Chu, S., Zeng, H. and Zhao, Y. 2025. Relationship between urban forest structure and seasonal variation in vegetation cover in Jinhua City, China. Forests. 16 (7), pp. 1-19. https://doi.org/10.3390/f16071129
AuthorsYang, H., Chu, S., Zeng, H. and Zhao, Y.
Abstract

Urban forests play a crucial role in enhancing vegetation cover and bolstering the ecological functions of cities by expanding green space, improving ecological connectivity, and reducing landscape fragmentation. This study examines these dynamics in Jinhua City, China, utilizing Landsat 8 satellite imagery for all four seasons of 2023, accessed through the Google Earth Engine (GEE) platform. Fractional vegetation cover (FVC) was calculated using the pixel binary model, followed by the classification of FVC levels. To understand the influence of landscape structure, nine representative landscape metrics were selected to construct a landscape index system. Pearson correlation analysis was employed to explore the relationships between these indices and seasonal FVC variations. Furthermore, the contribution of each index to seasonal FVC was quantified using a random forest (RF) regression model. The results indicate that (1) Jinhua exhibits the highest average FVC during the summer, reaching 0.67, while the lowest value is observed in winter, at 0.49. The proportion of areas with very high coverage peaks in summer, accounting for 50.6% of the total area; (2) all landscape metrics exhibited significant correlations with seasonal FVC. Among them, the class area (CA), percentage of landscape (PLAND), largest patch index (LPI), and patch cohesion index (COHESION) showed strong positive correlations with FVC, whereas the total edge length (TE), landscape shape index (LSI), patch density (PD), edge density (ED), and area-weighted mean shape index (AWMSI) were negatively correlated with FVC; (3) RF regression analysis revealed that CA and PLAND contributed most substantially to FVC, followed by COHESION and LPI, while PD, AWMSI, LSI, TE, and ED demonstrated relatively lower contributions. These findings provide valuable insights for optimizing urban forest landscape design and enhancing urban vegetation cover, underscoring that increasing large, interconnected forest patches represents an effective strategy for improving FVC in urban environments.

Keywordsforest landscape; land use; random forest; fractional vegetation cover; Pearson analysis
Year2025
JournalForests
Journal citation16 (7), pp. 1-19
PublisherMDPI
ISSN1999-4907
Digital Object Identifier (DOI)https://doi.org/10.3390/f16071129
Web address (URL)https://www.mdpi.com/1999-4907/16/7/1129
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Online09 Jul 2025
Publication process dates
Accepted08 Jul 2025
Deposited28 Jul 2025
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