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Regional Carbon Stock Response to Land Use Structure Change and Multi-Scenario Prediction: A Case Study of Hunan Province, China

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  • Jiaji Zhu

    (College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
    Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, China)

  • Xijun Hu

    (College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
    Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, China
    Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Changsha 410004, China)

  • Wenzhuo Xu

    (College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
    Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, China
    Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Changsha 410004, China)

  • Jianyu Shi

    (College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
    Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, China)

  • Yihe Huang

    (College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
    Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, China
    Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Changsha 410004, China)

  • Bingwen Yan

    (College of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, China
    Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, China
    Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Changsha 410004, China)

Abstract

Modifications in land use patterns exert profound influences on the configuration, arrangement, and functioning of terrestrial ecosystems, thereby inducing fluctuations in carbon sequestration. Consequently, precise ecological decision-making and an in-depth exploration of the interplay between land use alterations and carbon storage dynamics assume paramount importance in the pursuit of optimal regional land use configurations. In this investigation, we employed the InVEST model to analyze the spatiotemporal variations in land utilization and carbon storage in Hunan Province, based on comprehensive land use data spanning the period from 2000 to 2020. Additionally, the PLUS model was utilized to project the future spatial distribution of carbon storage in Hunan Province until 2040, encompassing diverse development scenarios. The findings of our study are as follows: (1) Land use changes instantaneously impact carbon storage within the study area. From 2000 to 2020, urban construction land witnessed an expansion of 3542 km 2 , which accounted for an increase from 1.13% to 2.78% of the total land area. Consequently, there was a decline in arable land, woodlands, and grasslands, resulting in a reduction of 3430.25 tons of carbon storage in Hunan Province. (2) The ecological protection scenario is projected to yield the most substantial increase in carbon storage, with an estimated magnitude of 7.02 × 10⁶ tons by the year 2040. According to the natural evolution scenario, the total amount of carbon storage is anticipated to remain similar to that of 2020, with a marginal increase of 2.81 × 10⁵ tons. Under the arable land protection scenario, carbon storage is predicted to decrease by 1.060 × 10⁷ tons. Conversely, the urban development scenario is expected to result in the most substantial reduction of 2.243 × 10⁷ tons of carbon storage. These findings underscore the efficacy of adopting ecological protection and natural development policies in curbing the decline in carbon storage. (3) The geographic distribution of carbon storage areas exhibits a strong correspondence with that of land use. Regions characterized by elevated carbon storage levels exhibit minimal urban construction land, an abundance of compact and contiguous ecological land, and a higher frequency of such land parcels. To enhance regional carbon storage levels and achieve sustainable development goals, future endeavors should prioritize the implementation of ecological protection and natural development policies.

Suggested Citation

  • Jiaji Zhu & Xijun Hu & Wenzhuo Xu & Jianyu Shi & Yihe Huang & Bingwen Yan, 2023. "Regional Carbon Stock Response to Land Use Structure Change and Multi-Scenario Prediction: A Case Study of Hunan Province, China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12178-:d:1213633
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    References listed on IDEAS

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    1. Yonghua Li & Song Yao & Hezhou Jiang & Huarong Wang & Qinchuan Ran & Xinyun Gao & Xinyi Ding & Dandong Ge, 2022. "Spatial-Temporal Evolution and Prediction of Carbon Storage: An Integrated Framework Based on the MOP–PLUS–InVEST Model and an Applied Case Study in Hangzhou, East China," Land, MDPI, vol. 11(12), pages 1-22, December.
    2. Linfeng Xu & Xuan Liu & De Tong & Zhixin Liu & Lirong Yin & Wenfeng Zheng, 2022. "Forecasting Urban Land Use Change Based on Cellular Automata and the PLUS Model," Land, MDPI, vol. 11(5), pages 1-16, April.
    3. Yunzhe Dai & Xiangmei Li & Dan Wang & Yayun Wang, 2022. "Impact of Accessibility to Cities at Multiple Administrative Levels on Soil Conservation: A Case Study of Hunan Province," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    4. Zhonghe Zhao & Gaohuan Liu & Naixia Mou & Yichun Xie & Zengrang Xu & Yong Li, 2018. "Assessment of Carbon Storage and Its Influencing Factors in Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
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    1. Yuncheng Jiang & Bin Ouyang & Zhigang Yan, 2024. "The Response of Carbon Storage to Multi-Objective Land Use/Cover Spatial Optimization and Vulnerability Assessment," Sustainability, MDPI, vol. 16(6), pages 1-27, March.

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