Zixuan Li

Dr. Zixuan Li


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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8 February 2023 in Land
Verified
Journal Article
Open access
PDF file
ZLZixuan Li
Zixuan Li
JCJiang Chang
Jiang Chang
Cheng LiCheng Li
Cheng Li
SGSihao Gu
Sihao Gu
Mining activities have contributed to the growth of the city, but also raised non-negligible eco-geological environmental issues that threaten ecological safety. Ecological security pattern (ESP), as an important grip on the ecological restoration and protection of national land space, helps to balance mining activities and ecological protection in coal resource-based cities. Taking Huaibei City as a study area, we applied the ESP research paradigm: an ecosystem “function-structure” conceptual framework was developed to identify ecological sources, the “coal mining subsidence—economic activities” framework was used to revise ecological resistance surface, and the circuit theory was used to extract ecological corridors. Then, key areas for ecological restoration and protection were identified, including ecological pinch points, barrier points, and fracture points. Finally, the pattern and strategies for ecological restoration and protection were proposed. Study results show that there were 51 ecological sources, covering an area of 152.75 km2; 111 ecological corridors were extracted with 6000 as truncation threshold; 17 pinch points, 75 barrier points, and 117 fracture points were identified. Ecological restoration and protection patterns of “one axis, two shields, four zones, eight belts and multiple corridors”, and strategies for key areas were proposed. The results of the study are important for the sustainable development of coal-resource-based cities.

24 August 2023 in Land
Verified
Journal Article
Open access
PDF file
YCYedong Chen
Yedong Chen
JCJiang Chang
Jiang Chang
ZLZixuan Li
Zixuan Li
LMLi Ming
Li Ming
CLCankun Li
Cankun Li
Cheng LiCheng Li
Cheng Li
Rapid urbanization and industrialization have had a range of effects on urban form and land use, especially in resource-based cities. Previous research has predominantly focused on the analysis of urban compactness or land-use efficiency individually, overlooking their interplay. In this study, we propose a coupled and coordinated research framework for urban compactness (UC) and urban land-use efficiency (ULUE). We analyze the UC and ULUE, as well as the degree and types of coupling and coordination (CCD) between them, in 119 counties and districts rich in coal resources within Shanxi Province. The findings reveal a declining trend in UC in Shanxi Province over time, with coal-resource-based cities exhibiting lower compactness than non-coal-resource-based cities. ULUE has shown stable development during the study period. The CCD between UC and ULUE exhibit spatial and urban typological heterogeneity. Further analysis demonstrates that the CCD types mainly manifest as the lagging development of UC. This research provides a foundation for achieving harmonious development between urban spatial structure and land-use structure and offers new perspectives for the sustainable development of resource-based urban regions.

19 August 2024 in Remote Sensing
Verified
Journal Article
Open access
PDF file
ZXZiqi Xu
Ziqi Xu
JCJiang Chang
Jiang Chang
ZWZiyi Wang
Ziyi Wang
ZLZixuan Li
Zixuan Li
XLXiaoyi Liu
Xiaoyi Liu
JSJingyu Sun
Jingyu Sun
Rapid urbanization is universally acknowledged to degrade ecosystem services, posing significant threats to human well-being. However, the effects of urban shrinkage, a global phenomenon and a counterpart to urbanization, on ecosystem services (ESs) remain unclear. This study focuses on China’s Rust Belt during the period from 2000 to 2020, constructing a comprehensive analytical framework based on long-term remote sensing data to reveal the temporal and spatial patterns of ESs and their associations with cities experiencing varying degrees of shrinkage. It employs a random forest (RF) model and a Shapley additive explanation (SHAP) model to measure and visualize the significance and thresholds of socioeconomic factors influencing changes in ESs. Our findings highlight the following: (1) Since 2010, the three provinces of Northeast China (TPNC) have begun to shrink comprehensively, with the degree of shrinkage intensifying over time. Resource-based cities have all experienced contraction. (2) Regional urban shrinkage has been found to enhance the overall provision capacity of ESs, with the most significant improvements in cities undergoing continuous shrinkage. (3) The impact of the same socioeconomic drivers varies across cities with different levels of shrinkage; increasing green-space ratios and investing more in public welfare have been identified as effective measures to enhance ESs. (4) Threshold analysis indicates that the stability of the tertiary sector’s proportion is critically important for enhancing ESs in cities undergoing intermittent shrinkage. An increase of 10% to 15% in this sector can allow continuously shrinking cities to balance urban development with ecological improvements. This research highlights the positive aspects of urban shrinkage, demonstrating its ability to enhance the provision capacity of ESs. It offers new insights into the protection and management of regional ecosystems and the urban transformation of the three eastern provinces.

23 May 2024 in Land
Verified
Journal Article
Open access
PDF file
ZMZhongjian Mei
Zhongjian Mei
Cheng LiCheng Li
Cheng Li
JZJie Zhao
Jie Zhao
ZLZixuan Li
Zixuan Li
KCKaiyi Chen
Kaiyi Chen
ZZZhiyue Zhao
Zhiyue Zhao
Identifying ecosystem service bundles and their long-term evolutionary characteristics is essential for the overall enhancement of regional ecosystem services, as well as the division and management of functional areas, providing a basis for decision-making in formulating ecological and environmental protection policies, as well as regional development planning. Based on land use, remote sensing, and meteorological data obtained from Anhui Province, this study assessed six important ecosystem service functions, including food production (FP), water yield (WY), carbon sequestration (CS), soil conservation (SC), habitat quality (HQ), and landscape aesthetics (LA), at the township scale in 2000, 2010, and 2020. On this basis, the k-means clustering method was used to identify ecosystem service bundles, analyze the spatio-temporal evolution trajectory of service bundles, and explore the driving factors of the spatio-temporal evolution of ecosystem service bundles using GeoDetector 2015 The results indicate the following: (1) At the spatial level, diverse ecosystem services demonstrate pronounced spatial differentiation. The distribution pattern of HQ, carbon fixation, and SC services is generally lower in the north and higher in the south, with areas of high value predominantly located in the western Dabie Mountains and the mountains of Southern Anhui. Conversely, FP services exhibit the reverse pattern, and WY services display a gradual increase from north to south, while cultural services are more dispersed, with areas of high value primarily located in the western Dabie Mountains, the Yangtze River Basin, and other locations. On the temporal scale, WY, SC, and FP services mainly exhibit an increasing trend, marked by a significant increase, whereas other services tend to present a decreasing trend. (2) Anhui Province can be categorized into four distinct types of service bundles: the grain production bundle (GPB), mountain ecological conservation bundle (MECB), urban living bundle (ULB), and core protection bundle (CPB). Ecosystem service bundles exhibit clear spatial differentiation, and identical service bundles demonstrate substantial clustering in space. Between 2000 and 2020, ecosystem service bundles displayed a marked spatio-temporal evolution, with the prevalence of GPBs diminishing, whereas the share of ULBs progressively increased, and the number of MECBs and CPBs remained largely stable. (3) In the spatio-temporal evolution process, the average annual precipitation, the proportion of forest land, and slope constitute the principal natural factors influencing the spatio-temporal evolution of ecosystem service bundles, while the proportion of construction land represents the primary socio-economic factor, with natural factors exerting a more significant influence than socio-economic factors.