ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Land Use Dynamics
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1636946
Spatiotemporal evolution and driving factors analysis of carbon stock in traditional industrial transformation region: A case study in Harbin and Changchun Urban Agglomeration, China
Provisionally accepted
- 1Harbin Normal University, Harbin, China
- 2Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin, China
- 3Chang'an University School of Economic and Management, Xi'an, China
- 4Henan College of Transportation, Zheng'zhou, China
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Driven by a series of policies, the rapid urban expansion and industrial transformation of the Harbin and Changchun Urban Agglomeration (HCUA), has altered the original land use structure, adversely impacting the ecological environment. This has consequently affected regional carbon storage. In the present study, a theoretical evaluation model of dynamic change of carbon stock based on land use type was established, which linked PLUS, InVEST, geographic detector and geographical weighted regression model to analyze the evolution of land use and carbon stock in the process of industrial transformation. The findings revealed that cultivated and forest were the predominant land types within HCUA. Over these two decades, HCUA experienced a decline in carbon stocks by 1.74%, resulting in an overall reduction of 87.02 Mt to reach 4902.63 Mt by 2020. Natural factors primarily shape the spatial distribution of carbon stocks. The amount of carbon stored in each scenario is reduced by 2040.The SD scenario is characterized by its exceptional capacity for carbon storage(4882.06 Mt).
Keywords: Urban agglomeration, land use change, carbon stock, Driving factor, Scenario simulation, Traditional industrial transformation region 1. Introduction
Received: 28 May 2025; Accepted: 23 Jun 2025.
Copyright: © 2025 Zhi, Lin, Yang, Zhang, Shao and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lin Lin, Harbin Normal University, Harbin, China
Xu Yang, Harbin Normal University, Harbin, China
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