Carbon storage simulation and analysis in Beijing-Tianjin-Hebei region based on CA-plus model under dual-carbon background

• Published in: Geomatics, natural hazards and risk Vol. 14; no. 1
• Main Authors: Yu, Yang, Guo, Bing, Wang, Chenglong, Zang, Wenqian, Huang, Xiangzhi, Wu, Zengwei, Xu, Mei, Zhou, Kedong, Li, Jialin, Yang, Ying
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 31-12-2023; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Agricultural land; Beijing-Tianjin-Hebei region; CA-PLUS model; Carbon; Carbon capture and storage; Carbon sequestration; Carbon storage; Distribution; Land cover; Land use; multiple scenarios; Simulation; Spatial distribution; Storage; Vegetation; Vegetation type; Beijing China; China
• ISSN: 1947-5705; 1947-5713
• DOI: 10.1080/19475705.2023.2173661

Previous studies on carbon storage simulation had ignored the difference of carbon intensity among various vegetation types inner the same land use. In this paper, The PLUS model was used to predict the land use change under multi-scenarios from 2030 to 2060, and the vegetation type data were supplemented by CA model to obtain the land cover-vegetation datasets from 2030-2060. Combined with the carbon density table of vegetation type, the future land use carbon storage during 2030-2060 under multi-scenarios in Beijing-Tianjin-Hebei region were analyzed. The main conclusions were as follows: (1) The spatial distribution of carbon storage in Beijing-Tianjin-Hebei region showed a pattern of 'high in northeast-southwest and low in southeast-northwest'; (2) The carbon storage in Beijing-Tianjin-Hebei region during 1990-2020 showed a decreasing trend; (3) During 2030-2060, the carbon storage in Beijing-Tianjin-Hebei region showed a continuous decreasing trend in the absence of policy intervention, while that under the ecological protection and farmland protection scenarios showed an increasing trend; (4) Under different development scenarios, there were obvious significances of carbon storage in spatial distribution.