China Geological SurveyHost
Advanced Search
Previous Article Next Article
2024 Vol. 43, No. 2~3
Article Contents
Article navigation > Geological Bulletin of China > 2024 > 43(2~3): 463-473
Next Article Previous Article

DU Yinlong, WANG Yongliang, LI Ruijia, LI Yongchun, CHEN Guodong, TAI Surigala, ZHANG Dong, DU Yuchunzi. 2024. Constructing a county-level landscape ecological restoration pattern of agricultural and forestry interlacing based on the 'Source-Sink' theory: A case study of Oroqen Banner. Geological Bulletin of China, 43(2~3): 463-473. doi: 10.12097/gbc.2022.07.034
Citation: DU Yinlong, WANG Yongliang, LI Ruijia, LI Yongchun, CHEN Guodong, TAI Surigala, ZHANG Dong, DU Yuchunzi. 2024. Constructing a county-level landscape ecological restoration pattern of agricultural and forestry interlacing based on the "Source-Sink" theory: A case study of Oroqen Banner. Geological Bulletin of China, 43(2~3): 463-473. doi: 10.12097/gbc.2022.07.034
shu

Constructing a county-level landscape ecological restoration pattern of agricultural and forestry interlacing based on the "Source-Sink" theory: A case study of Oroqen Banner

  • 1.

    Hohhot General Survey of Natural Resources Center, China Geological Survey, Hohhot 010010, Inner Mongolia, China

More Information
Received Date:  18 July 2022
Revised Date:  27 April 2023
Publish Date:  15 March 2024
    Abstract

  • This study focuses on Oroqen Banner as the research subject and utilizes the "source-sink" theory and the Minimum Cumulative Resistance model (MCR) to establish a landscape ecological restoration pattern in the region. By employing the third national land survey vector data and conducting analysis and calculations through ArcGIS software, the study constructs and discusses the ecological restoration pattern in Oroqen Banner. The identification of source and sink landscapes, along with the analysis of resistance surfaces for different types of source landscapes, allows for the delineation of a 5-level ecological functional zoning. Moreover, a spatial restoration sequence is proposed for the restoration areas. The results indicate that the forest source landscape covers an area of 28054.2 km2 in the study area, while the grassland source landscape spans 2912.9 km2, and the water source landscape occupies 141.4 km2. These source landscapes account for 85.58% of the total area of the banner, demonstrating a generally favorable ecological function and quality. However, the southern part of the banner is primarily characterized by cultivated land, exhibiting significant disparities in landscape ecological security compared to the northern part. Based on the severity of ecological issues and the distribution range of various restoration areas, the restoration sequence is as follows: forest and grassland restoration important area > forest and grassland restoration important area > grassland and water restoration important area > forest and water restoration important area > grassland restoration important area > water restoration important area > forest restoration important area. In contrast to previous research, this study innovatively proposes the distribution range of ecological core areas and key ecological restoration areas within the study area. Additionally, it constructs a "point-line-surface three-in-one" three-dimensional spatial corridor and a "four-horizontal and two-vertical" ecological restoration pattern, serving as an exemplary instance for the ecological environment protection system in underdeveloped county-level areas dominated by forest and cultivated land. The findings have broad applicability to county-level areas with abundant ecological protection areas and a complex mixture of agricultural and forestry landscapes. Accordingly, it will provide valuable references for regional ecological protection and the establishment of ecological restoration patterns in spatial planning and control.

    • FullText(HTML)
  • 加载中
    • References
  • [1] Mangun, William R. 2010. Impact assessment for federal wildlife policy[J]. Review of Policy Research, 6(3/4): 84−94.

    Google Scholar

    [2] Zhang Z, Hu B, Jiang W, et al. 2023. Construction of ecological security pattern based on ecological carrying capacity assessment 1990–2040: A case study of the Southwest Guangxi Karst−Beibu Gulf[J]. Ecological Modelling, 479: 110322. doi: 10.1016/j.ecolmodel.2023.110322

    CrossRef Google Scholar

    [3] 陈利顶, 傅伯杰, 赵文武. 2006. “源”“汇”景观理论及其生态学意义[J]. 生态学报, 36(5): 1444−1449.

    Google Scholar

    [4] 程晰钰. 2020. 基于“源-汇”景观格局理论的南四湖流域非点源污染控制研究[D]. 曲阜师范大学硕士学位论文.

    Google Scholar

    [5] 程迎轩, 王红梅, 刘光盛, 等. 2016. 基于最小累计阻力模型的生态用地空间布局优化[J]. 农业工程学报, 32(16): 248−257. doi: 10.11975/j.issn.1002-6819.2016.16.034

    CrossRef Google Scholar

    [6] 关凤峻, 刘连和 , 刘建伟, 等. 2021. 系统推进自然生态保护和治理能力建设——《全国重要生态系统保护和修复重大工程总体规划(2021—2035年)》专家笔谈[J]. 自然资源学报, (2): 290−299.

    Google Scholar

    [7] 贾玉雪, 帅红, 韩龙飞. 2020. 基于“源-汇”理论的资江下游地区非点源污染风险区划[J]. 应用生态学报, 31(10): 3518−3528.

    Google Scholar

    [8] 蒋贵彦, 运迎霞, 任利剑. 2019. 基于GIS-MCR高寒藏区城镇生态安全格局构建及空间发展策略——以青海省玉树市为例[J]. 现代城市研究, (4): 106−111. doi: 10.3969/j.issn.1009-6000.2019.04.015

    CrossRef Google Scholar

    [9] 李航鹤, 马腾辉, 王坤, 等. 2020. 基于最小累积阻力模型(MCR)和空间主成分分析法(SPCA)的沛县北部生态安全格局构建研究[J]. 生态与农村环境学报, 36(8): 1036−1045.

    Google Scholar

    [10] 李立峰, 徐进勇, 祝文明, 等. 2020. 县域生态空间系统化修复路径与实践[J]. 规划师, 36(22): 12−18. doi: 10.3969/j.issn.1006-0022.2020.22.002

    CrossRef Google Scholar

    [11] 李哲. 2019. 哈尔滨市水环境管控单元的划分及非点源污染应对策略[D]. 哈尔滨工业大学博士学位论文.

    Google Scholar

    [12] 林雨菡, 杨培峰. 2021. 基于“源-汇”理论的县域国土空间生态修复分区研究——以四川省威远县为例[C]//. 中国风景园林学会2021年会论文集. 299-305.

    Google Scholar

    [13] 刘健, 郭璨, 刘亚秋, 等. 2022. 平原农区适宜性-集约性耦合协调的乡村空间重构[J]. 农业资源与环境学报, 39(2): 394−405.

    Google Scholar

    [14] 蒙吉军, 王雅, 王晓东, 等. 2016. 基于最小累积阻力模型的贵阳市景观生态安全格局构建[J]. 长江流域资源与环境, 25(7): 1052−1061. doi: 10.11870/cjlyzyyhj201607006

    CrossRef Google Scholar

    [15] 木皓可, 汤大为, 张子灿, 等. 2019. 基于“源”-“汇”景观理论的北京浅山地区生态空间格局构建研究[C]//中国风景园林学会2019年会论文集(下册). 319−323.

    Google Scholar

    [16] 那音太. 2014. 内蒙古自治区主体功能区规划体系研究[J]. 经济论坛, (06): 33−35.

    Google Scholar

    [17] 田雅楠, 张梦晗, 许荡飞, 等. 2019. 基于“源-汇”理论的生态型市域景观生态安全格局构建[J]. 生态学报, 39(7): 2311−2321.

    Google Scholar

    [18] 王琦, 付梦娣, 魏来, 等. 2016. 基于源-汇理论和最小累积阻力模型的城市生态安全格局构建——以安徽省宁国市为例[J]. 环境科学学报, 36(12): 4546−4554.

    Google Scholar

    [19] 张红伟, 王占岐, 柴季, 等. 2018. 基于“源”“汇”景观理论的山区农村居民点整治适宜性评价研究——以湖北省十堰市房县为例[J]. 中国土地科学, 32(11): 65−72.

    Google Scholar

    [20] 张艺璇, 位宏, 那嘉明, 等. 2021. 基于MCR模型的城市生态安全格局构建——以甘肃省平凉市为例[J]. 南京师大学报(自然科学版), 44(3): 54−62.

    Google Scholar

    [21] 张玉娟, 宋娟, 赵梓涵, 等. 2022. 基于“源-汇”理论和MCR的哈尔滨市生态安全格局变化[J]. 测绘与空间地理信息, 45(3): 1−4. doi: 10.3969/j.issn.1672-5867.2022.03.002

    CrossRef Google Scholar

    [22] 张云路, 李雄, 田野. 2018. 基于景观生态学“源-汇”理论的市域尺度生态功能分区——以内蒙古通辽市为例[J]. 生态学报, 38(1): 65−72.

    Google Scholar

    • Relative Articles
  • Cited by
  • Supplements
    • Proportional views
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(10)

Export Citation
PDF
XML

Article Metrics

Article views(589) PDF downloads(77) Cited by(0)

Access History

Other Articles By Authors

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    版权所有：中国地质调查局发展研究中心 copyright @2020