A Multi-Scenario Prediction and Spatiotemporal Analysis of the Land Use and Carbon Storage Response in Shaanxi

被引:7
|
作者
Wei, Xindong [1 ,2 ]
Zhang, Shuyuan [1 ]
Luo, Pingping [3 ,4 ,5 ]
Zhang, Shuomeng [1 ]
Wang, Huanyuan [1 ,2 ,6 ]
Kong, Dehao [1 ]
Zhang, Yuanyuan [1 ]
Tang, Yang [1 ]
Sun, Shuo [1 ]
机构
[1] Changan Univ, Sch Land Engn, Key Lab Degradat & Unused Land Rehabil Engn, Minist Nat Resources, Xian 710054, Peoples R China
[2] Shaanxi Key Lab Land Consolidat, Xian 710054, Peoples R China
[3] Changan Univ, Sch Water Conservancy & Environm, Xian 710054, Peoples R China
[4] Changan Univ, Key Lab Arid Land Hydrol & Ecol Effects, Minist Educ, Xian 710054, Peoples R China
[5] Changan Univ, Xian Monitoring Modelling & Early Warning Watershe, Int Sci & Technol Cooperat Base, Xian 710054, Peoples R China
[6] Shaanxi Prov Land Engn Construct Grp Co Ltd, Xian 710075, Peoples R China
关键词
land-use change; carbon storage; multi-scenario simulation; rural revitalization; water-energy-food nexus; Shaanxi Province; ORGANIC-CARBON; COVER CHANGE; USE/COVER CHANGE; CA-MARKOV; SOIL; CHINA; STOCKS; AREA; SEQUESTRATION; SIMULATION;
D O I
10.3390/rs15205036
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The role of carbon sequestration in terrestrial ecosystems is crucial for achieving carbon neutrality. This study primarily focuses on examining the carbon storage in Shaanxi Province under different land-use scenarios. This study employed the LP-PLUS-InVEST model to explore the characteristics and spatial and temporal changes in carbon storage across four scenarios (business-as-usual (BUS), ecological protection (EPS), water-energy-food (WEF), and rural revitalization (RRS)) in Shaanxi Province. The results show that from 2000 to 2020, the carbon storage in Shaanxi Province is on a decreasing trend mainly due to the large occupation of ecological land by economic development. EPS has the largest increase in carbon storage under the four scenarios in 2030 and 2060. On the contrary, BUS has a rapid expansion of construction land, which leads to a gradual decreasing trend in carbon storage. WEF has a gradual increasing trend in carbon storage, while RRS has a trend of increasing and then slowly decreasing carbon storage. The spatial distribution trends of carbon storage in all scenarios were similar; high-carbon-reserve areas were mainly distributed in southern and central Shaanxi, which has a better ecological environment and less construction land, while low-value areas were distributed in the Central Shaanxi Plain, which has high land-use intensity. In terms of the stability of carbon reserves, the stable areas are predominantly concentrated in the Qinling Mountains, while the unstable areas are concentrated in the plain urban areas. Specifically, returning cultivated land to forest and grassland is an important initiative to promote the increase in carbon storage in Shaanxi Province. The decrease in carbon storage is mainly affected by strong urban expansion. Our study optimizes the land-use pattern according to the development needs of Shaanxi Province, and promotes the integrated development of ecological protection, food security, and economic development. Guidance is provided to promote regional carbon neutrality.
引用
收藏
页数:26
相关论文
共 50 条
  • [31] Multi-Scenario Simulation of Land Use and Landscape Ecological Risk Response Based on Planning Control
    Wang, Nan
    Zhu, Peijuan
    Zhou, Guohua
    Xing, Xudong
    Zhang, Yong
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (21)
  • [32] Multi-scenario analysis of land space based on PLUS and MSPA
    Li, Mingxin
    Zhang, Zhen
    Liu, Xiangping
    Hui, Yu
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (07)
  • [33] Multi-scenario analysis of land space based on PLUS and MSPA
    Mingxin Li
    Zhen Zhang
    Xiangping Liu
    Yu Hui
    Environmental Monitoring and Assessment, 2023, 195
  • [34] Land Use and Land Cover Changes and Prediction Based on Multi-Scenario Simulation: A Case Study of Qishan County, China
    Xiong, Nina
    Yu, Rongxia
    Yan, Feng
    Wang, Jia
    Feng, Zhongke
    REMOTE SENSING, 2022, 14 (16)
  • [35] Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China
    Guo, Wei
    Teng, Yongjia
    Yan, Yueguan
    Zhao, Chuanwu
    Zhang, Wanqiu
    Ji, Xianglin
    SUSTAINABILITY, 2022, 14 (20)
  • [36] Multi-Scenario land cover changes and carbon emissions prediction for peak carbon emissions in the Yellow River Basin, China
    Niu, Haipeng
    Chen, Si
    Xiao, Dongyang
    ECOLOGICAL INDICATORS, 2024, 168
  • [37] Multi-scenario land use prediction and layout optimization in Nanjing Metropolitan Area based on the PLUS model
    Cao, Ji
    Cao, Weidong
    Cao, Yuhong
    Wang, Xuewei
    Zhang, Yizhen
    Ma, Jinji
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2024, 34 (07) : 1415 - 1436
  • [38] LAND USE AND HABITAT QUALITY PREDICTION BASED ON MULTI-SCENARIO SIMULATION: A CASE STUDY OF JIAOZUO, CHINA
    Xu, X. J.
    Li, Z. G.
    Zhai, F. F.
    Li, H. D.
    Zhang, Y. X.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2023, 21 (06): : 5753 - 5769
  • [39] Multi-perspective influence mechanism analysis and multi-scenario prediction of China's carbon emissions
    Yi, Tao
    Qiu, Mohan
    Zheng, Hao
    Liu, Jinpeng
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2020, 20 (01) : 61 - 79
  • [40] The Response of Carbon Stocks to Land Use/Cover Change and a Vulnerability Multi-Scenario Analysis of the Karst Region in Southern China Based on PLUS-InVEST
    Du, Shuanglong
    Zhou, Zhongfa
    Huang, Denghong
    Zhang, Fuxianmei
    Deng, Fangfang
    Yang, Yue
    FORESTS, 2023, 14 (12):