Identification and Prediction of Land Use Spatial Conflicts in Urban Agglomeration on the Northern Slope of Tianshan Mountains Under the Background of Urbanization

被引:0
|
作者
Ma, Yunfei [1 ,2 ]
Mamitimin, Yusuyunjiang [1 ,2 ]
Nuerla, Ailijiang [3 ]
机构
[1] Xinjiang Univ, Coll Geog & Remote Sensing Sci, Urumqi 830017, Peoples R China
[2] Higher Educ Inst, Key Lab Smart City & Environm Modeling, Urumqi 830017, Peoples R China
[3] Xinjiang Univ, Coll Ecol & Environm, Urumqi 830017, Peoples R China
关键词
land use; spatial conflict; landscape pattern; spatiotemporal evolution; FLUS model; RIVER-BASIN; SIMULATION ANALYSIS; CELLULAR-AUTOMATA; MODEL; EXPANSION; ECOLOGY; FLUS;
D O I
10.3390/land14020228
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In past decades, urbanization has entered a phase of rapid development, resulting in an intensified utilization of land resources. The finite nature of these resources has led to increased pressure on land availability, giving rise to a phenomenon known as land use conflict. This conflict is particularly evident in the frequent conversion of land categories, with urban impervious surfaces increasingly encroaching upon forests, grasslands, and agricultural land. Such encroachments trigger a series of land use conflict issues, which subsequently impact the function and structure of regional ecosystems. This paper analyzes the spatial and temporal changes in land use and land cover (LULC) within the urban agglomeration on the northern slope of Tianshan Mountain. It measures and evaluates the spatial and temporal evolution of land use conflicts in the study area from 1990 to 2020, utilizing conflict-related theories and the landscape risk evaluation model. Additionally, the paper explores the spatial and temporal dimensions of land use conflicts under three scenarios-natural development (ND), cultivation priority (CP), and ecological priority (EP)-for the years 2030 and 2050, informed by the Future Land Use Simulation (FLUS) model. The results indicate that unused land constitutes the predominant land use type, accounting for over 50% of the total area. The areas of cultivated land, water bodies, and urban land are experiencing an increasing trend, while the areas of forestland, grassland, and unused land are witnessing a decreasing trend. The level of land use spatial conflicts during the study period showed a decreasing and then increasing trend, with an overall upward trend and an increase in the average value of 0.03. In terms of the proportion of spatial units, mild and general conflicts exhibited a decreasing trend, with reductions of 4.21% and 2.95%, respectively. Conversely, the proportion of medium conflicts increased significantly, rising by 7.33%, while severe conflicts experienced a slight increase of 0.23%. Under the ND, CP, and EP scenarios, the spatial and temporal dynamics of future land use conflicts varied. However, the study area was predominantly characterized by general conflicts in both 2030 and 2050. In 2030, the proportions of spatial units experiencing general conflicts in the three scenarios are projected to be 61.20%, 60.39%, and 57.51%, respectively. In comparison, these proportions are projected to be 59.24%, 62.70%, and 56.29% in 2050, respectively. The anticipated future changes in land use spatial conflicts vary across different scenarios. Notably, the ND scenario indicates a rising conflict level in the study area over the next 30 years, with an overall increase of 0.03 in the mean value. In contrast, the changes in the index under the CP and EP scenarios are relatively stable.
引用
收藏
页数:29
相关论文
共 50 条
  • [41] An analysis of oasis evolution based on land use and land cover change: A case study in the Sangong River Basin on the northern slope of the Tianshan Mountains
    Zhang, Qi
    Luo, Geping
    Li, Longhui
    Zhang, Miao
    Lv, Nana
    Wang, Xinxin
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 27 (02) : 223 - 239
  • [42] An analysis of oasis evolution based on land use and land cover change: A case study in the Sangong River Basin on the northern slope of the Tianshan Mountains
    Qi Zhang
    Geping Luo
    Longhui Li
    Miao Zhang
    Nana Lv
    Xinxin Wang
    Journal of Geographical Sciences, 2017, 27 : 223 - 239
  • [43] Response of ecosystem service value to land use/cover change in the northern slope economic belt of the Tianshan Mountains, Xinjiang, China
    Sun Chen
    Ma Yonggang
    Gong Lu
    JOURNAL OF ARID LAND, 2021, 13 (10) : 1026 - 1040
  • [44] Response of ecosystem service value to land use/cover change in the northern slope economic belt of the Tianshan Mountains, Xinjiang, China
    Chen Sun
    Yonggang Ma
    Lu Gong
    Journal of Arid Land, 2021, 13 : 1026 - 1040
  • [45] Response of ecosystem service value to land use/cover change in the northern slope economic belt of the Tianshan Mountains, Xinjiang, China
    SUN Chen
    MA Yonggang
    GONG Lu
    Journal of Arid Land, 2021, 13 (10) : 1026 - 1040
  • [46] Spatial distribution and temporal variation of ecological capital and their relation to climate change and the changes of land use and land cover on the northern slope of the Tianshan Mountain, China
    Zhang, Qing
    Chen, Xiuwan
    Gao, Wei
    Zhang, Xianfeng
    Zhou, Kefa
    Wang, Xinli
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY IV, 2007, 6679
  • [47] Multi-Scenario Simulating the Impacts of Land Use Changes on Ecosystem Health in Urban Agglomerations on the Northern Slope of the Tianshan Mountain, China
    Hua, Ziyi
    Ma, Jing
    Sun, Yan
    Yang, Yongjun
    Zhu, Xinhua
    Chen, Fu
    LAND, 2024, 13 (05)
  • [48] RESEARCH ON URBAN LAND INTENSIVE USE AND ITS COUNTERMEASURES OF GUANZHONG URBAN AGGLOMERATION WITH ECOLOGICAL AND ECONOMIC COUPLING UNDER THE BACKGROUND OF HUMANISTIC PSYCHOLOGY
    Zhao, Minning
    PSYCHIATRIA DANUBINA, 2022, 34 : S147 - S148
  • [49] Analysis and Prediction of Spatial and Temporal Evolution of Ecosystem Service Value on the Northern Slopes of the Kunlun Mountains Based on Land Use
    Zhang, Zhichao
    Wang, Yang
    Tang, Haisheng
    Zhu, Zhen
    LAND, 2023, 12 (12)
  • [50] Spatial-Temporal Change Analysis and Multi-Scenario Simulation Prediction of Land-Use Carbon Emissions in the Wuhan Urban Agglomeration, China
    Zhang, Junxiang
    Zhang, Chengfang
    Dong, Heng
    Zhang, Liwen
    He, Sicong
    SUSTAINABILITY, 2023, 15 (14)