IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10430-d1531891.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10430/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/23/10430/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    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. Qikang Zhong & Zhe Li & Yujing He, 2023. "Coupling Evaluation and Spatial–Temporal Evolution of Land Ecosystem Services and Economic–Social Development in a City Group: The Case Study of the Chengdu–Chongqing City Group," IJERPH, MDPI, vol. 20(6), pages 1-29, March.
    2. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    3. Youjung Kim & Galen Newman, 2019. "Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    4. Aritta Suwarno & Meine van Noordwijk & Hans-Peter Weikard & Desi Suyamto, 2018. "Indonesia’s forest conversion moratorium assessed with an agent-based model of Land-Use Change and Ecosystem Services (LUCES)," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(2), pages 211-229, February.
    5. Yuanyuan Yang & Shuwen Zhang & Jiuchun Yang & Xiaoshi Xing & Dongyan Wang, 2015. "Using a Cellular Automata-Markov Model to Reconstruct Spatial Land-Use Patterns in Zhenlai County, Northeast China," Energies, MDPI, vol. 8(5), pages 1-21, May.
    6. Bonoua Faye & Guoming Du & Edmée Mbaye & Chang’an Liang & Tidiane Sané & Ruhao Xue, 2023. "Assessing the Spatial Agricultural Land Use Transition in Thiès Region, Senegal, and Its Potential Driving Factors," Land, MDPI, vol. 12(4), pages 1-20, March.
    7. Muhammad Sohail Amjad Makhdum & Muhammad Usman & Rakhshanda Kousar & Javier Cifuentes-Faura & Magdalena Radulescu & Daniel Balsalobre-Lorente, 2022. "How Do Institutional Quality, Natural Resources, Renewable Energy, and Financial Development Reduce Ecological Footprint without Hindering Economic Growth Trajectory? Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    8. Rifat, Shaikh Abdullah Al & Liu, Weibo, 2022. "Predicting future urban growth scenarios and potential urban flood exposure using Artificial Neural Network-Markov Chain model in Miami Metropolitan Area," Land Use Policy, Elsevier, vol. 114(C).
    9. Jing Yang & Feng Shi & Yizhong Sun & Jie Zhu, 2019. "A Cellular Automata Model Constrained by Spatiotemporal Heterogeneity of the Urban Development Strategy for Simulating Land-use Change: A Case Study in Nanjing City, China," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
    10. Xuanmiao Peng & Xiaoai Dai & Ryan Shi & Yujian Zheng & Xinyue Liu & Yuhe Xiao & Weile Li & Yang Zhang & Jue Wang & Huan Huang, 2024. "Investigating the Effects of Mining on Ecosystem Services in Panzhihua City: A Multi-Scenario Analysis," Land, MDPI, vol. 13(6), pages 1-25, June.
    11. Xinhai Lu & Yuejiao Chen & Xiangyu Fan & Xinpeng Liu, 2024. "Effects of Land Use Transition on Regional Ecological Environment—A Case Study of Zhaosu County, Xinjiang," Land, MDPI, vol. 13(12), pages 1-21, December.
    12. Brian Pickard & Joshua Gray & Ross Meentemeyer, 2017. "Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models," Land, MDPI, vol. 6(3), pages 1-21, August.
    13. Ju-Sung Lee & Tatiana Filatova & Arika Ligmann-Zielinska & Behrooz Hassani-Mahmooei & Forrest Stonedahl & Iris Lorscheid & Alexey Voinov & J. Gareth Polhill & Zhanli Sun & Dawn C. Parker, 2015. "The Complexities of Agent-Based Modeling Output Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(4), pages 1-4.
    14. Zhang, Yan & Chang, Xia & Liu, Yanfang & Lu, Yanchi & Wang, Yiheng & Liu, Yaolin, 2021. "Urban expansion simulation under constraint of multiple ecosystem services (MESs) based on cellular automata (CA)-Markov model: Scenario analysis and policy implications," Land Use Policy, Elsevier, vol. 108(C).
    15. Margaret Gitau & Nathaniel Bailey, 2012. "Multi-Layer Assessment of Land Use and Related Changes for Decision Support in a Coastal Zone Watershed," Land, MDPI, vol. 1(1), pages 1-27, December.
    16. Xiaoli Hu & Xin Li & Ling Lu, 2018. "Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    17. Yaya Jin & Jiahe Ding & Yue Chen & Chaozheng Zhang & Xianhui Hou & Qianqian Zhang & Qiankun Liu, 2023. "Urban Land Expansion Simulation Considering the Increasing versus Decreasing Balance Policy: A Case Study in Fenghua, China," Land, MDPI, vol. 12(12), pages 1-21, November.
    18. Charlotte Shade & Peleg Kremer, 2019. "Predicting Land Use Changes in Philadelphia Following Green Infrastructure Policies," Land, MDPI, vol. 8(2), pages 1-19, February.
    19. repec:ris:cieodp:2013_019 is not listed on IDEAS
    20. Fuli Wang & Wei Fu & Jiancheng Chen, 2022. "Spatial–Temporal Evolution of Ecosystem Service Value in Yunnan Based on Land Use," Land, MDPI, vol. 11(12), pages 1-15, December.
    21. Wu, Wei & Yeager, Kevin M. & Peterson, Mark S. & Fulford, Richard S., 2015. "Neutral models as a way to evaluate the Sea Level Affecting Marshes Model (SLAMM)," Ecological Modelling, Elsevier, vol. 303(C), pages 55-69.

    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:jsusta:v:16:y:2024:i:23:p:10430-:d:1531891. 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.