Long-Term Dynamics of Surface-Water Structural Connectivity in a Highly Regulated Plain River Network of the Yangtze River Delta: Associations with Climate Variability and Land-Use Change

Long-term structural connectivity in highly regulated plain river networks remains insufficiently understood, particularly under concurrent climatic variability and land-use change. This study examined surface-water structural connectivity in Jiashan County, Yangtze River Delta, from 1990 to 2024 using graph-theory indices. The Integral Index of Connectivity (IIC) and Probability of Connectivity (PC) increased significantly, with slopes of 1.19 × 10−4 and 1.75 × 10−4 yr−1, respectively, and Pettitt change points in 2014 and 1998. Annual precipitation and rainy days were positively correlated with IIC (p < 0.05). After first differencing, annual changes in precipitation were strongly and positively correlated with changes in both IIC and PC (p < 0.001). Built-up land proportion (BLP) was positively correlated with both IIC and PC (p < 0.001). These findings highlight distinct long-term and interannual controls on structural connectivity and show that land-use change alone cannot predict the direction of connectivity change. The study provides a long-term basis for monitoring structural change in urbanizing plain river networks.

Authors

Institutions

Publication Details

Journal
Hydrology
Published
2026-10-09
DOI
https://doi.org/10.3390/hydrology13100273
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-Term Dynamics of Surface-Water Structural Connectivity in a Highly Regulated Plain River Network of the Yangtze River Delta: Associations with Climate Variability and Land-Use Change

Xuexin Shao, Long Zhang, Wu Ming, Xingna Lin et al.
Hydrology
Hydrology and Sediment Transport Processes
article

Long-Term Dynamics of Surface-Water Structural Connectivity in a Highly Regulated Plain River Network of the Yangtze River Delta: Associations with Climate Variability and Land-Use Change

Xuexin Shao, Long Zhang, Wu Ming, Xingna Lin, Rong Zhang, Shengwu Jiao
article en

Abstract

Long-term structural connectivity in highly regulated plain river networks remains insufficiently understood, particularly under concurrent climatic variability and land-use change. This study examined surface-water structural connectivity in Jiashan County, Yangtze River Delta, from 1990 to 2024 using graph-theory indices. The Integral Index of Connectivity (IIC) and Probability of Connectivity (PC) increased significantly, with slopes of 1.19 × 10−4 and 1.75 × 10−4 yr−1, respectively, and Pettitt change points in 2014 and 1998. Annual precipitation and rainy days were positively correlated with IIC (p < 0.05). After first differencing, annual changes in precipitation were strongly and positively correlated with changes in both IIC and PC (p < 0.001). Built-up land proportion (BLP) was positively correlated with both IIC and PC (p < 0.001). These findings highlight distinct long-term and interannual controls on structural connectivity and show that land-use change alone cannot predict the direction of connectivity change. The study provides a long-term basis for monitoring structural change in urbanizing plain river networks.

HydrologyVol. 13(10)
Nanjing Forestry University (CN), Chinese Academy of Forestry (CN), Research Institute of Subtropical Foresty (CN)
Openalex Percentile: Top 15%
Hydrology and Sediment Transport Processes
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.