Structural evolution of ecosystem service interaction networks across urban expansion gradients

Rapid urban expansion reshapes ecosystem services (ES) and their interactions, yet the structural responses of these interactions across urban expansion gradients remain insufficiently understood. Here, we investigate these dynamics in the Middle Reaches of the Yangtze River Urban Agglomeration (MRYRUA) in China through a combined framework of the urban expansion differentiation index (UEDI), integrated valuation of ecosystem services and trade-offs (InVEST), and network analysis. This framework enables a spatially explicit assessment of ES interaction changes at different urbanization stages. Our results indicate that ES interaction networks exhibit marked structural sensitivity to urban scale and expansion speed, as evidenced by 40% and 25% declines in network density and connectance. With rapid urbanization, ES networks shift toward a core–periphery structure, where carbon sequestration and water yield function as primary hubs. Redundancy analysis identifies UEDI as the dominant driver of ES network structural shift, accounting for 52.40% of the cumulative variance (p < 0.01). At the agglomeration level, the Poyang Lake Urban Agglomeration, characterized by slower expansion (UEDI: 0.90), maintains the most intricate ES network (density: 0.80; connectance: 0.78). Conversely, the Wuhan Urban Agglomeration, at a more advanced urban development stage (UEDI: 1.01), exhibits the lowest network connectance (0.55) and ES synergies. These findings highlight the destabilizing effects of advanced urbanization on ES interactions and provide insights for stage-specific urban planning and ecosystem management.

Authors

Institutions

Publication Details

Journal
Geo-spatial Information Science
Published
2026-08-03
DOI
https://doi.org/10.1080/10095020.2026.2706253
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural evolution of ecosystem service interaction networks across urban expansion gradients

Dianfeng Liu, Chang Gao, Yuxin Zhao, Yajie Zhang
Geo-spatial Information Science
Land Use and Ecosystem Services
article

Structural evolution of ecosystem service interaction networks across urban expansion gradients

Dianfeng Liu, Chang Gao, Yuxin Zhao, Yajie Zhang
article en

Abstract

Rapid urban expansion reshapes ecosystem services (ES) and their interactions, yet the structural responses of these interactions across urban expansion gradients remain insufficiently understood. Here, we investigate these dynamics in the Middle Reaches of the Yangtze River Urban Agglomeration (MRYRUA) in China through a combined framework of the urban expansion differentiation index (UEDI), integrated valuation of ecosystem services and trade-offs (InVEST), and network analysis. This framework enables a spatially explicit assessment of ES interaction changes at different urbanization stages. Our results indicate that ES interaction networks exhibit marked structural sensitivity to urban scale and expansion speed, as evidenced by 40% and 25% declines in network density and connectance. With rapid urbanization, ES networks shift toward a core–periphery structure, where carbon sequestration and water yield function as primary hubs. Redundancy analysis identifies UEDI as the dominant driver of ES network structural shift, accounting for 52.40% of the cumulative variance (p < 0.01). At the agglomeration level, the Poyang Lake Urban Agglomeration, characterized by slower expansion (UEDI: 0.90), maintains the most intricate ES network (density: 0.80; connectance: 0.78). Conversely, the Wuhan Urban Agglomeration, at a more advanced urban development stage (UEDI: 1.01), exhibits the lowest network connectance (0.55) and ES synergies. These findings highlight the destabilizing effects of advanced urbanization on ES interactions and provide insights for stage-specific urban planning and ecosystem management.

Geo-spatial Information Science
Wuhan University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 11%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.