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Response and Multi-Scenario Prediction of Carbon Storage and Habitat Quality to Land Use in Liaoning Province, China

Author

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  • Dong-Feng Ren

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China
    These authors contributed equally to this work.)

  • Ai-Hua Cao

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China
    These authors contributed equally to this work.)

  • Fei-Yue Wang

    (School of Geomatics, Liaoning Technical University, Fuxin 123000, China)

Abstract

Liaoning Province, as an old industrial urban agglomeration since the founding of China, is an important link between the Bohai Economic Zone and the Northeast Economic Zone, and it has made great contributions to the economic development of China. The transformation of China’s economy and heavy industrial development have posed great challenges to the long-lasting growth of Liaoning Province. In this study, the driving force of land expansion was detected using the patch-generating land use simulation (PLUS) model in Liaoning Province, and the land situation in 2030 was predicted under natural development, ecological protection, and economic development scenarios. We then further coupled the PLUS model with the integrated valuation of ecosystem services and trade-offs (InVEST) model to explore the spatial autocorrelation and synergistic relationship between carbon storage and habitat quality. The results indicated the following: (1) The total accuracy of the simulation in 2020 using the PLUS model reached 94.16%, and the Kappa coefficient reached 0.9089; therefore, the simulation result was highly reliable. (2) The overall spatial pattern of both carbon storage and habitat quality decreased from the northwest and southeast to the middle, and habitat quality had an impact on carbon storage to a certain extent, with a positive spatial correlation. (3) The ecological protection (EP) scenario was the only development prospect with increasing total carbon storage, which could increase carbon sequestration by approximately 7.83 × 10 6 Mg/C, and development prospects with optimal habitat quality. (4) Weak trade-off and weak synergy dominated in the 2030 natural development (ND) scenario; most regions showed weak synergy in the ecological protection scenario, spatial heterogeneity became more pronounced in the economic development (ED) scenario, and a strong trade-off and strong synergy emerged in individual regions. The results of the study have a positive feedback effect on establishing an ecological security barrier in Liaoning Province and furthering long-lasting low-carbon urban development.

Suggested Citation

  • Dong-Feng Ren & Ai-Hua Cao & Fei-Yue Wang, 2023. "Response and Multi-Scenario Prediction of Carbon Storage and Habitat Quality to Land Use in Liaoning Province, China," Sustainability, MDPI, vol. 15(5), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4500-:d:1086137
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    References listed on IDEAS

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    1. Xinmin Zhang & Hualin Xie & Jiaying Shi & Tiangui Lv & Caihua Zhou & Wangda Liu, 2020. "Assessing Changes in Ecosystem Service Values in Response to Land Cover Dynamics in Jiangxi Province, China," IJERPH, MDPI, vol. 17(9), pages 1-15, April.
    2. Wainger, Lisa A. & King, Dennis M. & Mack, Richard N. & Price, Elizabeth W. & Maslin, Thomas, 2010. "Can the concept of ecosystem services be practically applied to improve natural resource management decisions?," Ecological Economics, Elsevier, vol. 69(5), pages 978-987, March.
    3. Luc Anselin, 2012. "From SpaceStat to CyberGIS," International Regional Science Review, , vol. 35(2), pages 131-157, April.
    4. Yingxue Li & Zhaoshun Liu & Shujie Li & Xiang Li, 2022. "Multi-Scenario Simulation Analysis of Land Use and Carbon Storage Changes in Changchun City Based on FLUS and InVEST Model," Land, MDPI, vol. 11(5), pages 1-17, April.
    5. Lyu, Rongfang & Zhang, Jianming & Xu, Mengqun & Li, Jijun, 2018. "Impacts of urbanization on ecosystem services and their temporal relations: A case study in Northern Ningxia, China," Land Use Policy, Elsevier, vol. 77(C), pages 163-173.
    6. Xinqing Wang & Tao Pan & Ruoyi Pan & Wenfeng Chi & Chen Ma & Letian Ning & Xiaoyu Wang & Jiacheng Zhang, 2022. "Impact of Land Transition on Landscape and Ecosystem Service Value in Northeast Region of China from 2000–2020," Land, MDPI, vol. 11(5), pages 1-18, May.
    7. Bagstad, Kenneth J. & Johnson, Gary W. & Voigt, Brian & Villa, Ferdinando, 2013. "Spatial dynamics of ecosystem service flows: A comprehensive approach to quantifying actual services," Ecosystem Services, Elsevier, vol. 4(C), pages 117-125.
    8. Muhammad Hadi Saputra & Han Soo Lee, 2019. "Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton," Sustainability, MDPI, vol. 11(11), pages 1-16, May.
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    Cited by:

    1. Suiping Zeng & Xinyao Liu & Jian Tian & Jian Zeng, 2024. "Spatial–Temporal Pattern Analysis and Development Forecasting of Carbon Stock Based on Land Use Change Simulation: A Case Study of the Xiamen–Zhangzhou–Quanzhou Urban Agglomeration, China," Land, MDPI, vol. 13(4), pages 1-26, April.
    2. Yanzhen Lin & Lei Chen & Ying Ma & Tingting Yang, 2024. "Analysis and Simulation of Land Use Changes and Their Impact on Carbon Stocks in the Haihe River Basin by Combining LSTM with the InVEST Model," Sustainability, MDPI, vol. 16(6), pages 1-15, March.
    3. Yingchu Guo & Dawei Xu & Jia Xu & Ziyi Yang, 2024. "Multi-Scale Analysis of Spatial and Temporal Evolution of Ecosystem Health in the Harbin–Changchun Urban Agglomeration, China," Sustainability, MDPI, vol. 16(2), pages 1-31, January.
    4. Shuyu Yang & Jiaju Lin & Xiongzhi Xue, 2024. "Climate Change May Increase the Impact of Coastal Flooding on Carbon Storage in China’s Coastal Terrestrial Ecosystems," Land, MDPI, vol. 13(11), pages 1-21, November.

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