IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i8p1531-d1208891.html
   My bibliography  Save this article

Impact of Land Use Change on Carbon Storage Based on FLUS-InVEST Model: A Case Study of Chengdu–Chongqing Urban Agglomeration, China

Author

Listed:
  • Zhouling Shao

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Chunyan Chen

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Yuanli Liu

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Jie Cao

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

  • Guitang Liao

    (College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China)

  • Zhengyu Lin

    (Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Science, Chengdu 610066, China)

Abstract

Land use change is one of the main factors driving changes in terrestrial carbon storage, which comprises the storage of vegetation carbon and soil carbon. Selecting the Chengdu–Chongqing urban agglomeration (CCUA) as the study area, land use and carbon storage from 2010 to 2030 were analyzed by combining the Future Land Use Simulation (FLUS) model and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. The main types of land use in CCUA are farmland and forest. The conversion of farmland to built-up land was the most important form of land use transfer between 2010 and 2020. Each type of land use shows the smallest change under the ecological protection scenario, and the degree of the comprehensive land use dynamic is only 0.19%. Under the natural development scenario, the areas of built-up land, wetland, and forest land will increase in 2030. Under the urban development scenario, the built-up land area will increase by 751.24 km 2 , an increase in more than 10.08%, but farmland, forest, and grassland will decrease. The spatial pattern of carbon storage is “high in the east and west, low in the middle”; farmland accounts for the largest proportion of carbon storage at over 60% of the total. Carbon storage decreased by 29.45 × 10 6 Mg from 2010 to 2020. Grassland showed the most significant decrease in carbon storage, with the proportion decreasing from 7.49% in 2010 to 6.09% in 2020. In 2030, the total carbon storage will reach 1844.68 × 10 6 Mg under the ecological protection scenario, slightly higher than that in 2020, while it will show a downward trend under the natural development and urban development scenarios.

Suggested Citation

  • Zhouling Shao & Chunyan Chen & Yuanli Liu & Jie Cao & Guitang Liao & Zhengyu Lin, 2023. "Impact of Land Use Change on Carbon Storage Based on FLUS-InVEST Model: A Case Study of Chengdu–Chongqing Urban Agglomeration, China," Land, MDPI, vol. 12(8), pages 1-17, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1531-:d:1208891
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/8/1531/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/8/1531/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yue Wu & Zexu Han & Auwalu Faisal Koko & Siyuan Zhang & Nan Ding & Jiayang Luo, 2022. "Analyzing the Spatio-Temporal Dynamics of Urban Land Use Expansion and Its Influencing Factors in Zhejiang Province, China," IJERPH, MDPI, vol. 19(24), pages 1-24, December.
    2. Qinglong Ding & Yang Chen & Lingtong Bu & Yanmei Ye, 2021. "Multi-Scenario Analysis of Habitat Quality in the Yellow River Delta by Coupling FLUS with InVEST Model," IJERPH, MDPI, vol. 18(5), pages 1-19, March.
    3. Bingrui Liu & Jiacheng Qian & Ran Zhao & Qijun Yang & Kening Wu & Huafu Zhao & Zhe Feng & Jianhui Dong, 2022. "Spatio-Temporal Variation and Its Driving Forces of Soil Organic Carbon along an Urban–Rural Gradient: A Case Study of Beijing," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    4. Dingrao Feng & Wenkai Bao & Meichen Fu & Min Zhang & Yiyu Sun, 2021. "Current and Future Land Use Characters of a National Central City in Eco-Fragile Region—A Case Study in Xi’an City Based on FLUS Model," Land, MDPI, vol. 10(3), pages 1-25, March.
    5. Yijie Sun & Jing Li & Zhiyuan Ren & Feipeng Yang, 2023. "Ecosystem Service Trade-Offs and Spatial Pattern Optimisation under Different Land Use Scenarios: A Case Study in Guanzhong Region, China," Land, MDPI, vol. 12(1), pages 1-18, January.
    6. Mengyao Li & Hongxia Luo & Zili Qin & Yuanxin Tong, 2023. "Spatial-Temporal Simulation of Carbon Storage Based on Land Use in Yangtze River Delta under SSP-RCP Scenarios," Land, MDPI, vol. 12(2), pages 1-18, February.
    7. Shilong Piao & Jingyun Fang & Philippe Ciais & Philippe Peylin & Yao Huang & Stephen Sitch & Tao Wang, 2009. "The carbon balance of terrestrial ecosystems in China," Nature, Nature, vol. 458(7241), pages 1009-1013, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haoyue Gao & Tianling Qin & Qinghua Luan & Jianming Feng & Xiuyan Zhang & Yuhui Yang & Shu Xu & Jie Lu, 2024. "Characteristics Analysis and Prediction of Land Use Evolution in the Source Region of the Yangtze River and Yellow River Based on Improved FLUS Model," Land, MDPI, vol. 13(3), pages 1-21, March.
    2. Maoqiu Xiong & Fujie Li & Xiaohuang Liu & Jiufen Liu & Xinping Luo & Liyuan Xing & Ran Wang & Hongyu Li & Fuyin Guo, 2023. "Characterization of Ecosystem Services and Their Trade-Off and Synergistic Relationships under Different Land-Use Scenarios on the Loess Plateau," Land, MDPI, vol. 12(12), pages 1-18, November.
    3. Wenting Huang & Long Guo & Ting Zhang & Ting Chen & Longqian Chen & Long Li & Xundi Zhang, 2024. "The Impact of Territorial Spatial Transformation on Carbon Storage: A Case Study of Suqian, East China," Land, MDPI, vol. 13(3), pages 1-22, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Auwalu Faisal Koko & Zexu Han & Yue Wu & Siyuan Zhang & Nan Ding & Jiayang Luo, 2023. "Spatiotemporal Analysis and Prediction of Urban Land Use/Land Cover Changes Using a Cellular Automata and Novel Patch-Generating Land Use Simulation Model: A Study of Zhejiang Province, China," Land, MDPI, vol. 12(8), pages 1-21, August.
    2. Jieming Chou & Yidan Hao & Yuan Xu & Weixing Zhao & Yuanmeng Li & Haofeng Jin, 2023. "Forest Carbon Sequestration Potential in China under Different SSP-RCP Scenarios," Sustainability, MDPI, vol. 15(9), pages 1-12, April.
    3. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    4. Dong Chen & Rongrong Liu & Maoxian Zhou, 2023. "Delineation of Urban Growth Boundary Based on Habitat Quality and Carbon Storage: A Case Study of Weiyuan County in Gansu, China," Land, MDPI, vol. 12(5), pages 1-17, May.
    5. Luyi Qiu & Kunying Niu & Wei He & Yaqi Hu, 2023. "Two Contribution Paths of Carbon Neutrality: Terrestrial Ecosystem Carbon Sinks and Anthropogenic Carbon Emission Reduction—A Case of Chongqing, China," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    6. Kai Yin & Dengsheng Lu & Yichen Tian & Qianjun Zhao & Chao Yuan, 2014. "Evaluation of Carbon and Oxygen Balances in Urban Ecosystems Using Land Use/Land Cover and Statistical Data," Sustainability, MDPI, vol. 7(1), pages 1-27, December.
    7. Zhiwei Deng & Bin Quan, 2022. "Intensity Characteristics and Multi-Scenario Projection of Land Use and Land Cover Change in Hengyang, China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    8. Dike Zhang & Jianpeng Wang & Ying Wang & Lei Xu & Liang Zheng & Bowen Zhang & Yuzhe Bi & Hui Yang, 2022. "Is There a Spatial Relationship between Urban Landscape Pattern and Habitat Quality? Implication for Landscape Planning of the Yellow River Basin," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    9. Qi Fu & Mengfan Gao & Yue Wang & Tinghui Wang & Xu Bi & Jinhua Chen, 2022. "Spatiotemporal Patterns and Drivers of the Carbon Budget in the Yangtze River Delta Region, China," Land, MDPI, vol. 11(8), pages 1-18, August.
    10. Jin, Ming & Han, Xulong & Li, Mingyu, 2023. "Trade-offs of multiple urban ecosystem services based on land-use scenarios in the Tumen River cross-border area," Ecological Modelling, Elsevier, vol. 482(C).
    11. Wei Wang & Wenjing Zeng & Weile Chen & Hui Zeng & Jingyun Fang, 2013. "Soil Respiration and Organic Carbon Dynamics with Grassland Conversions to Woodlands in Temperate China," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-10, August.
    12. Wen Li & Jianwei Geng & Jingling Bao & Wenxiong Lin & Zeyan Wu & Shuisheng Fan, 2023. "Analysis of Spatial and Temporal Variations in Ecosystem Service Functions and Drivers in Anxi County Based on the InVEST Model," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    13. Zihao Wu & Yiyun Chen & Yuanli Zhu & Xiangyang Feng & Jianxiong Ou & Guie Li & Zhaomin Tong & Qingwu Yan, 2023. "Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables," Land, MDPI, vol. 12(6), pages 1-15, June.
    14. Xiaochen Liu & Shuai Wang & Qianlai Zhuang & Xinxin Jin & Zhenxing Bian & Mingyi Zhou & Zhuo Meng & Chunlan Han & Xiaoyu Guo & Wenjuan Jin & Yufei Zhang, 2022. "A Review on Carbon Source and Sink in Arable Land Ecosystems," Land, MDPI, vol. 11(4), pages 1-17, April.
    15. Youngsu Park & Yujun Sun, 2018. "Sustainable Forest Management in North-East Asia: A Comparative Assessment between China and Republic of Korea," International Journal of Sciences, Office ijSciences, vol. 7(04), pages 102-114, April.
    16. Jingeng Huo & Zhenqin Shi & Wenbo Zhu & Hua Xue & Xin Chen, 2022. "A Multi-Scenario Simulation and Optimization of Land Use with a Markov–FLUS Coupling Model: A Case Study in Xiong’an New Area, China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    17. Zhang, Fan & Li, Changsheng & Wang, Zheng & Glidden, Stanley & Grogan, Danielle S. & Li, Xuxiang & Cheng, Yan & Frolking, Steve, 2015. "Modeling impacts of management on farmland soil carbon dynamics along a climate gradient in Northwest China during 1981–2000," Ecological Modelling, Elsevier, vol. 312(C), pages 1-10.
    18. Ming Zhang & Xiaojie Liu & Dan Yan, 2023. "Land Use Conflicts Assessment in Xiamen, China under Multiple Scenarios," Land, MDPI, vol. 12(2), pages 1-16, February.
    19. Jiang Zhu & Xiang Li & Huiming Huang & Xiangdong Yin & Jiangchun Yao & Tao Liu & Jiexuan Wu & Zhangcheng Chen, 2023. "Spatiotemporal Evolution of Carbon Emissions According to Major Function-Oriented Zones: A Case Study of Guangdong Province, China," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    20. Mingjie Tian & Zhun Chen & Wei Wang & Taizheng Chen & Haiying Cui, 2022. "Land-Use Carbon Emissions in the Yellow River Basin from 2000 to 2020: Spatio-Temporal Patterns and Driving Mechanisms," IJERPH, MDPI, vol. 19(24), pages 1-16, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1531-:d:1208891. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.