yuzhe Bi

Mr. yuzhe Bi

China University of Geosciences, Wuhan, Hubei, China
orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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10 January 2023 in Ecological Indicators
Verified
Journal Article
Open access
YByuzhe Bi
yuzhe Bi
LZLiang Zheng
Liang Zheng
Ying WangYing Wang
Ying Wang
JLJiangfeng Li
Jiangfeng Li
HYHui Yang
Hui Yang
BZBowen Zhang
Bowen Zhang

30 March 2023 in Land
Verified
Journal Article
Open access
PDF file
LLLingHua Liu
LingHua Liu
LZLiang Zheng
Liang Zheng
Ying WangYing Wang
Ying Wang
CLChongchong Liu
Chongchong Liu
BZBowen Zhang
Bowen Zhang
YByuzhe Bi
yuzhe Bi
The South-to-North Water Diversion Project (SNWDP) is one of the largest cross-basin and cross-region water transfer projects in the world. The Danjiangkou reservoir area, a haven of diverse species, serves as a core water source for the Central Line of the SNWDP. Yet, less research has been conducted on changes in land use and ecosystem services (ESs) in the Danjiangkou reservoir area in the context of the implementation of the SNWDP and other national projects. In this study, we aim to reveal evolutions of land uses and ESs in the Danjiangkou reservoir area and the response of ESs to natural and socio-economic factors. This is essential to enhance the regional sustainable management of the Danjiangkou reservoir area. Based on classified land use maps and the InVEST model, we first analyzed the land use changes and evaluated three typical types of ESs (i.e., water yield (WY), carbon storage (CS) and habitat quality (HQ)) in the Danjiangkou reservoir area during 2000 to 2018. Then, we detected the spatial clustering characteristics and tradeoffs and synergistic relationships of multiple ESs through hot spot analysis and correlation analysis. Finally, we adopt the geographical detector model (GDM) to identify key driving factors of ESs changes. The results show that: (1) During 2000–2018, the area of arable land and woodland decreased by 1.65% and 0.8%, respectively, while the proportion of construction land and water area increased by 1.31% and 1.39%, respectively. (2) The greatest decrease was in WY, decreasing by 59%, while the change in HQ was relatively stable, but showed spatial heterogeneity. (3) The northern, southern and western districts of the reservoir area showed mainly synergies among multiple ESs, while other regions showed mainly trade-offs. (4) Road network density, proportion of construction land and normalized difference vegetation index are the leading factors for ESs variations. These findings can provide reference for formulating more reasonable ecological protection strategies, so as to realize the sustainable management of SNWDP and its headwaters region.

21 August 2024 in Land
Verified
Journal Article
Open access
PDF file
LZLiang Zheng
Liang Zheng
YWYajing Wang
Yajing Wang
HYHui Yang
Hui Yang
YByuzhe Bi
yuzhe Bi
LXLei Xu
Lei Xu
Ying WangYing Wang
Ying Wang
Urban agglomerations are products of urban development, and their regional spaces and functions are more diverse than other cities, which have very high spatial and functional complexity. It is important to clarify the relationships between production–living–ecological (PLE) functions in urban agglomerations to achieve sustainable development. In this study, we took the Middle Reaches of the Yangtze River Urban Agglomerations (MRYRUA) as an example to construct an evaluation index system of regional PLE functions in urban agglomerations. Then, the Pearson correlation model and geographically weighted regression were applied to investigate the relationships between PLE functions and their driving forces. The results showed that the PLE functions in the MRYRUA increased from 2008 to 2018, with the level of the ecological function being higher than the production and living functions. The relationships among PLE functions were dominated by synergies in most cities, though trade-offs had become more evident in the last few years for the whole study area. Trade-offs and synergies among PLE functions were influenced by both natural and socioeconomic factors, with the latter having a stronger effect. Our findings provide a reference for understanding the spatial variations and trade-offs among PLE functions in MRYRUA as well as for balancing the development of PLE functions.

3 July 2026 in Building and Environment
Verified
Journal Article
Closed access
YByuzhe Bi
yuzhe Bi
YWYing Wang
Ying Wang
JGJian Gong
Jian Gong
LZLiang Zheng
Liang Zheng
JLJingjing Li
Jingjing Li