Zhipeng Yang

Dr. Zhipeng Yang

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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1 January 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
YZyingjie zhang
yingjie zhang
YJYinghua Jin
Yinghua Jin
JXJiawei Xu
Jiawei Xu
HHHongshi He
Hongshi He
YTYan Tao
Yan Tao
YBYunyu Bai
Yunyu Bai

28 May 2021 in Land
Verified
Journal Article
Open access
PDF file
ZYZhipeng Yang
Zhipeng Yang
SWShijun Wang
Shijun Wang
Meng GuoMeng Guo
Meng Guo
Junfeng TianJunfeng Tian
Junfeng Tian
YZyingjie zhang
yingjie zhang
Studying the spatiotemporal distribution characteristics of territorial space development intensity (TSDI) and its habitat quality (HQ) response is of substantial theoretical and practical significance to optimize regional development patterns and coordinate the relationship between territorial space development and eco-environmental protection. This study establishes a comprehensive assessment model across various aspects, including land, population, economy, and input, to assess the TSDI of each county in Northeast China. We used the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to evaluate the HQ of each county and investigated the HQ response to TSDI. The results showed that the TSDI in Northeast China was high in the south and west, low in the north and east, and prominent in urban agglomeration areas, which increased between 2000 and 2015. The spatial pattern of HQ was low in the east and south, high in the west and north, and the HQ was degraded as a whole. Bivariate spatial autocorrelation analysis showed a significant negative spatial correlation between TSDI and HQ, and distinct patterns of local spatial agglomeration were identified. Our findings provide guidelines for territorial space planning and may offer a reference for the ecological civilization construction and the coordinated development of Northeast China.

7 February 2022 in Journal of Mountain Science
Verified
Journal Article
Closed access
PDF file
YZyingjie zhang
yingjie zhang
YJYinghua Jin
Yinghua Jin
JXJiawei Xu
Jiawei Xu
HHHong He
Hong He
YTYan Tao
Yan Tao
MLMai-He Li
Mai-He Li

20 December 2024 in Frontiers in Sustainable Food Systems
Verified
Journal Article
Open access
PDF file
XCXiaodong Chang
Xiaodong Chang
SWShijun Wang
Shijun Wang
ZYZhipeng Yang
Zhipeng Yang
KLKe Li
Ke Li
SWSiqi Wang
Siqi Wang
XMXinjie Meng
Xinjie Meng
Food security is crucial for national stability and public welfare. Since the 21st century, China’s grain production has been significantly influenced by the rapid process of urbanization. In this context, this paper systematically measures the multidimensional coupling patterns and dynamic coupling processes between urbanization and grain production from 2000 to 2022, and preliminarily summarizes the complex coupling mechanisms within the Chinese context. The goal is to provide scientific references for achieving high-quality coordinated development of urbanization and grain production in China. The study reveals the following key findings: (1) The coupling relationship between urbanization and grain production exhibits both regional heterogeneity and temporal variability, demonstrating specific levels of coupling and dynamic processes under distinct spatiotemporal conditions. (2) Between 2000 and 2022, both urbanization and grain production patterns in China underwent significant reconstruction, with the coupling coordination level displaying a long-term spatial pattern of “high in the north, low in the south; high in the east, low in the west.” Although there is an overall upward trend in coupling coordination states, spatial imbalances and dimensional heterogeneity persist. (3) Since the beginning of the 21st century, the dynamic coupling processes between provincial urbanization and grain production have primarily manifested as two types: simultaneous increase (with urbanization outpacing grain production) and urban increase accompanied by grain production decrease. Various dynamic coupling types exhibit significant spatial clustering, and the multidimensional dynamic coupling processes reveal notable similarities. (4) The evolution of coupling states demonstrates an overall trend of optimization, with clear bidirectional migration trends observed in coupling dynamics, primarily transitioning from simultaneous increase (urbanization outpacing grain production) to urban increase with grain production decrease, and vice versa. (5) The formation of the complex coupling relationship between urbanization and grain production in the Chinese context is fundamentally influenced by changes in population quantity and structure between urban and rural areas, shifts in land use, economic transformation, regional specialization, technological interactions, and factor mobility. These influences exhibit significant negative effects in the domains of population, land, and economy, while showcasing notable positive effects in terms of technology and factor mobility.