Ze Xu

Mr. Ze Xu

Renmin University of China, Beijing, China
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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1 December 2019 in Land Use Policy
Verified
Journal Article
Closed access
ZXZe Xu
Ze Xu
ZZZhengfeng Zhang
Zhengfeng Zhang
CLChu Li
Chu Li

1 July 2020 in Land Use Policy
Verified
Journal Article
Closed access
YWYangyang Wen
Yangyang Wen
ZZZhengfeng Zhang
Zhengfeng Zhang
DLDi Liang
Di Liang
ZXZe Xu
Ze Xu

1 November 2021 in Habitat International
Verified
Journal Article
Closed access
ZZZhengfeng Zhang
Zhengfeng Zhang
MWMengwei Wang
Mengwei Wang
ZXZe Xu
Ze Xu
YYYumin Ye
Yumin Ye
SCSining Chen
Sining Chen
JCJinqing Chen
Jinqing Chen

10 March 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ZXZe Xu
Ze Xu
LNLu Niu
Lu Niu
ZZZhengfeng Zhang
Zhengfeng Zhang
QHQiyu Hu
Qiyu Hu
DZDong Zhang
Dong Zhang
CLChu Li
Chu Li

1 April 2020 in Habitat International
Verified
Journal Article
Closed access
ZXZe Xu
Ze Xu
Jianjun ZhangJianjun Zhang
Jianjun Zhang
ZZZhengfeng Zhang
Zhengfeng Zhang
CLChu Li
Chu Li
KWKe Wang
Ke Wang

11 May 2024 in Remote Sensing
Verified
Journal Article
Open access
PDF file
XWXingbang Wang
Xingbang Wang
ZXZe Xu
Ze Xu
JHJing Huang
Jing Huang
Zhengfeng ZhangZhengfeng Zhang
Zhengfeng Zhang
A systematic analysis of the spatiotemporal evolution patterns and factors influencing ecological land (EL) can support the optimization of EL protection policies and ensure the stability of regional ecosystems. Based on remote sensing data, using the gravity center shift model, the landscape pattern index, and the equivalent factor method, the characteristics of EL evolution in the Beijing–Tianjin–Hebei (BTH) region from 1980 to 2020 were analyzed. A fixed-effects model was used to quantitatively explore the factors influencing EL evolution and heterogeneity analysis. The results are as follows: (1) The EL area exhibited a trend of initial decrease followed by a subsequent increase during the study period. The most significant area transfer occurred between cropland and EL, but, after the 21st century, the proportion of area transfer between construction land and EL noticeably increased. (2) The compactness and fragmentation of EL showed a certain spatiotemporal stability, but the spatial distribution of compactness and fragmentation hot and cold spots exhibited significant differences. The fragmentation hot spots mainly displayed a strip distribution, while those of compactness showed a clustered distribution. (3) Although the ecosystem service value in the BTH region demonstrated dynamic “M”-shaped changes, the distribution of hot and cold spots still exhibited spatial stability. Regulating services consistently occupied a higher proportion of the sub-service functions, while cultural services still needed further enhancement. (4) Factors influencing the evolution of areas and values demonstrated similarities. The landscape was significantly influenced by construction land, showing a non-linear “U”-shaped relationship with fragmentation. Different economic development gradients and altitudes exhibited differentiated characteristics in terms of their influencing factors. This study provides scientific support for dynamically and precisely adjusting governmental EL management policies, contributing to the sustainable development of regional socio-economics.