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Impacts of Climate and Land-Use Change on Fraction Vegetation Coverage Based on PLUS-Dimidiate Pixel Model

Author

Listed:
  • Hong Shi

    (School of Tourism and Historical Culture, Southwest Minzu University, Chengdu 610041, China)

  • Ji Yang

    (School of Architecture, Southwest Minzu University, Chengdu 610225, China)

  • Qijuan Liu

    (School of Architecture, Southwest Minzu University, Chengdu 610225, China)

  • Taohong Li

    (Business and Tourism School, Sichuan Agricultural University, Dujiangyan 611830, China)

  • Ning Chris Chen

    (Department of Management, Marketing and Entrepreneurship, University of Canterbury, Christchurch 8140, New Zealand)

Abstract

Climate and land-use change are key factors of vegetation dynamics, and impacts arising from both of them need to be further studied. This study simulated the fraction of vegetation coverage in 2050 through coupling the Patch-Generating Land Use Simulation (PLUS) model and the Dimidiate Pixel model and explored the effects of climate and land-use change on fraction vegetation coverage in the Chengdu-Chongqing Economic Circle region. The findings indicated that: (1) fraction vegetation coverage was mainly restored over the 2000–2020 period, accounting for 59.38% of the investigation area. Under the SSP245 and SSP585 scenarios, fraction vegetation coverage increased by 40.57% and 46.38%, respectively. (2) under the SSP245 and SSP585 scenarios, the superposition effect of climate and land use change on fraction vegetation coverage significantly outweighed the compensation effect. Specifically, the superposition effect of climate and land use change on fraction vegetation cover accounted for 90.69% and 90.57% of the total area, respectively. Conversely, the compensation effect constituted a relatively minor proportion, representing 9.31% and 9.43% of the total area, respectively. (3) the positive superposition effect of climate changes and land use on fraction vegetation coverage was 35.47% and 40.90%, respectively, while the negative superposition effect was 55.22% and 49.67%, respectively. These findings aimed to offer guidance for the execution of vegetation restoration initiatives in the upstream region.

Suggested Citation

  • Hong Shi & Ji Yang & Qijuan Liu & Taohong Li & Ning Chris Chen, 2024. "Impacts of Climate and Land-Use Change on Fraction Vegetation Coverage Based on PLUS-Dimidiate Pixel Model," Sustainability, MDPI, vol. 16(23), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10430-:d:1531891
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    References listed on IDEAS

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    1. Yan Zhang & Xiaoyong Liao & Dongqi Sun, 2024. "A Coupled InVEST-PLUS Model for the Spatiotemporal Evolution of Ecosystem Carbon Storage and Multi-Scenario Prediction Analysis," Land, MDPI, vol. 13(4), pages 1-24, April.
    2. Dong Zhang & Huan Dong, 2023. "Understanding Arable Land Change Patterns and Driving Forces in Major Grain-Producing Areas: A Case Study of Sichuan Province Using the PLUS Model," Land, MDPI, vol. 12(7), pages 1-20, July.
    3. 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.
    4. Xindong He & Linhong Wu & Guoqiang Shen & Xingfan Peng & Lei Huang, 2023. "A Spatiotemporal Analysis of Ecological–Economic Coupling Coordination in the Chengdu–Chongqing Urban Agglomeration," Land, MDPI, vol. 12(7), pages 1-20, July.
    5. Haizhen Chen & Yi Chen & Xiaosong Chen & Xingzhong Zhang & Haowei Wu & Zhihui Li, 2022. "Impacts of Historical Land Use Changes on Ecosystem Services in Guangdong Province, China," Land, MDPI, vol. 11(6), pages 1-18, May.
    6. 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.
    7. 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.
    8. Lei Chang & Ying Li & Keyi Zhang & Jialin Zhang & Yuefen Li, 2023. "Temporal and Spatial Variation in Vegetation and Its Influencing Factors in the Songliao River Basin, China," Land, MDPI, vol. 12(9), pages 1-15, August.
    9. Yuchen Pan & Li Ma & Hong Tang & Yiwen Wu & Zhongjian Yang, 2021. "Land Use Transitions under Rapid Urbanization in Chengdu-Chongqing Region: A Perspective of Coupling Water and Land Resources," Land, MDPI, vol. 10(8), pages 1-21, August.
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