Land-Use Carbon Emissions in the Yellow River Basin from 2000 to 2020: Spatio-Temporal Patterns and Driving Mechanisms

被引:9
|
作者
Tian, Mingjie [1 ]
Chen, Zhun [2 ]
Wang, Wei [3 ]
Chen, Taizheng [1 ]
Cui, Haiying [4 ]
机构
[1] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475000, Peoples R China
[2] Henan Univ, Sch Philosophy & Publ Management, Kaifeng 475000, Peoples R China
[3] Henan Univ, Sch Culture Ind & Tourism Management, Kaifeng 475000, Peoples R China
[4] Cent China Normal Univ, Sch Publ Adm, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
Yellow River Basin; land-use; carbon emission; spatio-temporal pattern; driving mechanism; ZHEJIANG;
D O I
10.3390/ijerph192416507
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the context of global climate governance, the study of land-use carbon emissions in the Yellow River Basin is crucial to China's "dual-carbon" goal in addition to ecological conservation and the high-quality developments. This paper computed the land-use carbon emissions of 95 cities in the Yellow River Basin from 2000 to 2020 and examined its characteristics with respect to spatio-temporal evolution and driving mechanisms. The findings are as follows: (1) The overall net land-use carbon emissions in the Yellow River Basin rose sharply from 2000 to 2020. (2) From a spatial perspective, the Yellow River Basin's land-use carbon emissions are high in the middle-east and low in the northwest, which is directly tied to the urban development model and function orientation. (3) A strong spatial link exists in the land-use carbon emissions in the Yellow River Basin. The degree of spatial agglomeration among the comparable cities first rose and then fell. "Low-Low" was largely constant and concentrated in the upper reaches, whereas "High-High" was concentrated in the middle and lower reaches with an east-ward migratory trend. (4) The rates of economic development and technological advancement have a major positive driving effect. Moreover, the other components' driving effects fluctuate with time, and significant geographical variance exists. Thus, this study not only provides a rationale for reducing carbon emissions in the Yellow River Basin but also serves as a guide for other Chinese cities with comparable climates in improving their climate governance.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Spatio-temporal variation of biodiversity maintenance function and its driving factors in the Yellow River Basin from 2000 to 2020
    Li, Jing
    Li, Shuai
    Zhang, Ying
    Pang, Jia-Cheng
    [J]. Zhongguo Huanjing Kexue/China Environmental Science, 2023, 43 (09): : 4780 - 4790
  • [2] Spatio-Temporal Patterns of Land Use and Cover Change in the Lancang-Mekong River Basin during 2000-2020
    Lang, Fansi
    Liang, Yutian
    Li, Shangqian
    Cheng, Zhaofeng
    Li, Guanfeng
    Guo, Zijing
    [J]. LAND, 2024, 13 (03)
  • [3] Spatio-Temporal Patterns of Land-Use Changes and Conflicts between Cropland and Forest in the Mekong River Basin during 1990-2020
    Zhai, Jiahao
    Xiao, Chiwei
    Feng, Zhiming
    Liu, Ying
    [J]. LAND, 2022, 11 (06)
  • [4] Spatio-Temporal Differentiation and Driving Factors of Carbon Storage in Cultivated Land-Use Transition
    Gai, Zhaoxue
    Xu, Ying
    Du, Guoming
    [J]. SUSTAINABILITY, 2023, 15 (05)
  • [5] Spatio-temporal evolution, driving mechanisms, and simulation of land use and cover in China from 2000 to 2060
    Chen, Jiandong
    Liu, Miaomiao
    Chen, Xingyu
    Li, Zhiwen
    [J]. APPLIED SPATIAL ANALYSIS AND POLICY, 2024,
  • [6] Spatio-temporal dynamic evolution of carbon emissions from land use change in Guangdong Province, China, 2000-2020
    Gui, Dawei
    He, Huagui
    Liu, Cuiming
    Han, Shanshan
    [J]. ECOLOGICAL INDICATORS, 2023, 156
  • [7] Research on spatio-temporal evolution of drought patterns in the Yellow River Basin
    Zhou, Shuai
    Wang, Yimin
    Chang, Jianxia
    Guo, Aijun
    Li, Ziyan
    [J]. Shuili Xuebao/Journal of Hydraulic Engineering, 2019, 50 (10): : 1231 - 1241
  • [8] Decoupling Effect and Driving Factors of Land-Use Carbon Emissions in the Yellow River Basin Using Remote Sensing Data
    Wang, Xiaolei
    Zhao, Xue
    Zhang, Shiru
    Shi, Shouhai
    Zhang, Xiang
    [J]. REMOTE SENSING, 2023, 15 (18)
  • [9] Spatio-Temporal Patterns and Driving Factors of Green Development Level of Urban Agglomerations in the Yellow River Basin
    Wang, Haijie
    Zhang, Jingxue
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2024, 60 (04) : 724 - 743
  • [10] Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China
    Su, Hao
    Yang, Shuo
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (19)