Impacts of Future Climate Change and Xiamen's Territorial Spatial Planning on Carbon Storage and Sequestration

被引:2
作者
Zhu, Wei [1 ]
Lan, Ting [1 ]
Tang, Lina [1 ]
机构
[1] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China
基金
国家重点研发计划;
关键词
carbon storage and sequestration; territorial spatial planning; climate change; FLUS model; InVEST model; LAND-USE CHANGE; TERRESTRIAL ECOSYSTEMS; MODEL; SCENARIOS; DYNAMICS; PATTERN; CHINA;
D O I
10.3390/rs17020273
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The intensification of climate change and the implementation of territorial spatial planning policies have jointly increased the complexity of future carbon storage changes. However, the impact of territorial spatial planning on carbon storage under future climate change remains unclear. Therefore, this study aims to reveal the potential impacts of future climate change and territorial spatial planning on carbon storage and sequestration, providing decision support for addressing climate change and optimizing territorial spatial planning. We employed the FLUS model, the InVEST model, and the variance partitioning analysis (VPA) method to simulate carbon storage under 15 different scenarios that combine climate change scenarios and territorial spatial planning for Xiamen in 2035, and to quantify the individual and combined impacts of territorial spatial planning and climate change on ecosystem carbon sequestration. The results showed that (1) by 2035, Xiamen's carbon storage capacity is expected to range from 32.66 x 106 Mg to 33.00 x 106 Mg under various scenarios, reflecting a decrease from 2020 levels; (2) the implementation of territorial spatial planning is conducive to preserving Xiamen's carbon storage, with the urban development boundary proving to be the most effective; (3) carbon storage is greatly affected by climate change, with RCP 4.5 more effective than RCP 8.5 in maintaining higher levels of carbon storage; and (4) the influence of territorial spatial planning on carbon sequestration consistently exceeds that of climate change, particularly under high-emission scenarios, where the regulatory effect of planning is especially significant.
引用
收藏
页数:21
相关论文
共 62 条
  • [1] Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain, Iran)
    Adelisardou, F.
    Zhao, W.
    Chow, R.
    Mederly, P.
    Minkina, T.
    Schou, J. S.
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2022, 19 (07) : 5929 - 5944
  • [2] [Anonymous], 2021, Ministry of Commerce and Ministry of Ecology and Environment of the Peoples Republic of China
  • [3] [Anonymous], Xiamen Municipal People's Government Population
  • [4] [Anonymous], 2019, Xinhua News Agency
  • [5] [Anonymous], 2014, CLIMATE CHANGE 2014
  • [6] Arneth A, 2017, NAT GEOSCI, V10, P79, DOI [10.1038/NGEO2882, 10.1038/ngeo2882]
  • [7] Assessment and prediction of carbon sequestration using Markov chain and InVEST model in Sariska Tiger Reserve, India
    Babbar, Deepakshi
    Areendran, G.
    Sahana, Mehebub
    Sarma, Kiranmay
    Raj, Krishna
    Sivadas, Akhil
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 278
  • [8] Increase in observed net carbon dioxide uptake by land and oceans during the past 50 years
    Ballantyne, A. P.
    Alden, C. B.
    Miller, J. B.
    Tans, P. P.
    White, J. W. C.
    [J]. NATURE, 2012, 488 (7409) : 70 - +
  • [9] Wildfire risk for global wildland-urban interface areas
    Chen, Bin
    Wu, Shengbiao
    Jin, Yufang
    Song, Yimeng
    Wu, Chao
    Venevsky, Sergey
    Xu, Bing
    Webster, Chris
    Gong, Peng
    [J]. NATURE SUSTAINABILITY, 2024, 7 (04) : 474 - 484
  • [10] Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan
    Chen, Zhanzhuo
    Huang, Min
    Zhu, Daoye
    Altan, Orhan
    [J]. REMOTE SENSING, 2021, 13 (13)