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Response of Ecosystem Service Value to Landscape Pattern Changes under Low-Carbon Scenario: A Case Study of Fujian Coastal Areas

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  • Guo Cai

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350117, China
    College of Geography Science and College of Carbon Neutral Future Technology, Fujian Normal University, Fuzhou 350117, China)

  • Yuying Lin

    (School of Culture, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
    The Higher Educational Key Laboratory for Smart Tourism of Fujian Province, Fuzhou 350007, China
    Postdoctoral Research Station of Ecology, Fujian Normal University, Fuzhou 350117, China)

  • Fazi Zhang

    (School of Culture, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
    The Higher Educational Key Laboratory for Smart Tourism of Fujian Province, Fuzhou 350007, China)

  • Shihe Zhang

    (College of Resources and Environment, Southwest University, Chongqing 400700, China)

  • Linsheng Wen

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350117, China
    College of Geography Science and College of Carbon Neutral Future Technology, Fujian Normal University, Fuzhou 350117, China)

  • Baoyin Li

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350117, China
    College of Geography Science and College of Carbon Neutral Future Technology, Fujian Normal University, Fuzhou 350117, China)

Abstract

Assessing the influence of landscape pattern changes on ecosystem service value (ESV) is critical for developing land-use polies and increasing ecosystem services. The data sources include remote-sensing image data and statistical yearbooks from 2000, 2010, and 2020. This study employs the patch-generating land-use simulation model, landscape pattern index, and ecological service value estimation to analyse the changes in landscape patterns and ESV in Fujian coastal areas over the last 20 years. The landscape pattern and ESV in the future (2050) are then simulated under the low-carbon scenario (LCS), with the natural development scenario (NDS) serving as a comparison. The results show that: (1) the most noticeable changes from 2000 to 2020 are the reduced cultivated land area and the rapid expansion of construction land area. By 2050, construction land will account for 7.67% of the total land area under LCS, whereas NDS will account for 9.45%, and changes in the landscape pattern indices all indicate there will be greater variety and fragmentation of the landscape, with the NDS being more serious than the LCS; (2) From 2000–2020, the total ESV value showed a decreasing trend. In 2050, the ESV under the LCS will be 122.387 billion yuan, which is higher than the 121.434 billion yuan under the NDS. Regulating services contribute the most to the total ESV, followed by support services; and (3) In the past 20 years, except for a slight increase in water area, the ESV of other landscapes has decreased, with a net decrease of 3.134 billion yuan in total. The R 2 fitting between the area change of cultivated and construction land and the total ESV reached 0.9898 and 0.9843, respectively. The correlations between ESV and landscape indices indicate that landscape pattern changes significantly impact ESV. Simulating ESV in LCS can provide guidance for optimising landscape patterns, promoting the benign operation of the regional ecosystem, and achieving sustainable ecological development.

Suggested Citation

  • Guo Cai & Yuying Lin & Fazi Zhang & Shihe Zhang & Linsheng Wen & Baoyin Li, 2022. "Response of Ecosystem Service Value to Landscape Pattern Changes under Low-Carbon Scenario: A Case Study of Fujian Coastal Areas," Land, MDPI, vol. 11(12), pages 1-23, December.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2333-:d:1008356
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    References listed on IDEAS

    as
    1. Santos-Martín, F. & Zorrilla-Miras, P. & Palomo, I. & Montes, C. & Benayas, J. & Maes, J., 2019. "Protecting nature is necessary but not sufficient for conserving ecosystem services: A comprehensive assessment along a gradient of land-use intensity in Spain," Ecosystem Services, Elsevier, vol. 35(C), pages 43-51.
    2. Yanyan Jia & Xiaolan Tang & Wei Liu, 2020. "Spatial–Temporal Evolution and Correlation Analysis of Ecosystem Service Value and Landscape Ecological Risk in Wuhu City," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    3. Lei Zhang & Gui Jin & Qing Wan & Yanfang Liu & Xiaojian Wei, 2018. "Measurement of Ecological Land Use/Cover Change and Its Varying Spatiotemporal Driving Forces by Statistical and Survival Analysis: A Case Study of Yingkou City, China," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    4. Qingjian Zhao & Zuomin Wen & Shulin Chen & Sheng Ding & Minxin Zhang, 2019. "Quantifying Land Use/Land Cover and Landscape Pattern Changes and Impacts on Ecosystem Services," IJERPH, MDPI, vol. 17(1), pages 1-21, December.
    5. Robert Pontius & Wideke Boersma & Jean-Christophe Castella & Keith Clarke & Ton Nijs & Charles Dietzel & Zengqiang Duan & Eric Fotsing & Noah Goldstein & Kasper Kok & Eric Koomen & Christopher Lippitt, 2008. "Comparing the input, output, and validation maps for several models of land change," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 11-37, March.
    6. Ming Lu & Yan Zhang & Fan Liang & Yuanxiang Wu, 2022. "Spatial Relationship between Land Use Patterns and Ecosystem Services Value—Case Study of Nanjing," Land, MDPI, vol. 11(8), pages 1-19, July.
    7. Negasi Solomon & Alcade C. Segnon & Emiru Birhane, 2019. "Ecosystem Service Values Changes in Response to Land-Use/Land-Cover Dynamics in Dry Afromontane Forest in Northern Ethiopia," IJERPH, MDPI, vol. 16(23), pages 1-15, November.
    8. Daichao Li & Kunkun Fan & Jiaqi Lu & Sheng Wu & Xiaowei Xie, 2022. "Research on Spatio-Temporal Pattern Evolution and the Coupling Coordination Relationship of Land-Use Benefit from a Low-Carbon Perspective: A Case Study of Fujian Province," Land, MDPI, vol. 11(9), pages 1-24, September.
    9. Yang Wang & Shuai Zhang & Hui Zhen & Xueer Chang & Remina Shataer & Zhi Li, 2020. "Spatiotemporal Evolution Characteristics in Ecosystem Service Values Based on Land Use/Cover Change in the Tarim River Basin, China," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    10. Shihe Zhang & Quanlin Zhong & Dongliang Cheng & Chaobin Xu & Yunni Chang & Yuying Lin & Baoyin Li, 2022. "Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin," Land, MDPI, vol. 11(2), pages 1-18, February.
    11. Jing Yun & Huamin Liu & Zhichao Xu & Xiaoai Cao & Linqian Ma & Lu Wen & Yi Zhuo & Lixin Wang, 2022. "Assessing Changes in the Landscape Pattern of Wetlands and Its Impact on the Value of Wetland Ecosystem Services in the Yellow River Basin, Inner Mongolia," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    12. 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.
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    1. Xue Li & Wen Li & Yu Gao, 2023. "Multi-Scenario Simulation of Green Space Landscape Pattern in Harbin City Based on FLUS Model," IJERPH, MDPI, vol. 20(5), pages 1-26, February.
    2. Yun Jiang & Guoming Du & Hao Teng & Jun Wang & Haolin Li, 2023. "Multi-Scenario Land Use Change Simulation and Spatial Response of Ecosystem Service Value in Black Soil Region of Northeast China," Land, MDPI, vol. 12(5), pages 1-21, April.

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