Rong Xia

Dr. Rong Xia

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 November 2025 in Sustainable Cities and Society
Verified
Journal Article
Closed access
ZLZhixing Li
Zhixing Li
YSYanjun Su
Yanjun Su
RXRong Xia
Rong Xia
YPYujie Pan
Yujie Pan

30 April 2026 in Forests
Verified
Journal Article
Open access
PDF file
RXRong Xia
Rong Xia
YSYuechu Shi
Yuechu Shi
HXHaiyan Xia
Haiyan Xia
HYHao Yuan
Hao Yuan
HZHaolin Zhao
Haolin Zhao
PGPaolo Vincenzo Genovese
Paolo Vincenzo Genovese
Urban forest fragmentation can weaken ecological connectivity and reduce the spatial continuity of cooling benefits, highlighting the need for structure-function integrated planning. Using 2020 as the baseline year, this study combined the Markov Chain-Future Land Use Simulation model, Morphological Spatial Pattern Analysis, the Minimum Cumulative Resistance model, and Kernel Density Estimation to simulate the evolution of Hangzhou’s forest-dominated ecological network under Business-as-Usual, Economic Development, and Ecological Conservation scenarios for 2030. A Random Forest model with Shapley Additive Explanations was further used to quantify the nonlinear relationship between landscape spatial context and land surface temperature. The results show that the Economic Development and Business-as-Usual scenarios intensify forest fragmentation and weaken the structural integrity of potential ecological corridors, whereas the Ecological Conservation scenario improves network stability through patch amalgamation, core area expansion, and reduced breakpoint density. Land surface temperature was strongly associated with built-up land adjacency. Built-up areas near forest patches showed a maximum relative cooling benefit of 8.04 degrees Celsius, and corridor cooling effects were most pronounced within 300 m, remaining detectable up to about 900 m under the Ecological Conservation scenario. These findings support structure-oriented planning for urban forest conservation and heat mitigation.