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Kong Yang, Wang Siyuan. Construction of urban and rural ecological network in Yanqing District of Beijing based on MSPA model[J]. Journal of Beijing Forestry University, 2020, 42(7): 113-121. DOI: 10.12171/j.1000-1522.20190271
Citation: Kong Yang, Wang Siyuan. Construction of urban and rural ecological network in Yanqing District of Beijing based on MSPA model[J]. Journal of Beijing Forestry University, 2020, 42(7): 113-121. DOI: 10.12171/j.1000-1522.20190271

Construction of urban and rural ecological network in Yanqing District of Beijing based on MSPA model

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  • Received Date: June 27, 2019
  • Revised Date: April 22, 2020
  • Available Online: June 18, 2020
  • Published Date: August 13, 2020
  •   Objective  With the rapid development of Beijing’s urbanization, Beijing’s ecological environment tends to deteriorate and urban ecological security faces enormous challenges. The construction of ecological network can mitigate the damage caused by the rapid urbanization and the fragmentation of urban and rural landscapes and is of great significance for the protection of urban biodiversity.
      Method  This paper selects Yanqing District of Beijing as the research area. Based on the ArcGIS software platform, the remote sensing image of Yanqing District of Beijing was interpreted to obtain the land cover type. The land cover type was divided into foreground and background by the ArcGIS. The analysis method (MSPA) obtained seven types of landscape types and identified the core area as an important ecological source. The accumulative cost distance model and the network analysis were used to obtain the ecological network under the best threshold. Based on this, the ecological network optimization proposal of Yanqing District was proposed.
      Result  (1) The overall fragmentation degree in Yanqing District was low, the material and energy migration among different types were relatively smooth and the overall landscape diversity was higher, but the number of habitat patches in the city was less and the corridor was scarce; (2) the distance threshold, which was most suitable for the current structure of the ecological network in Yanqing District was 20 000 m and the network closure degree α was 0.73; (3) woodland and cultivated land were important landscape types of potential ecological corridors in the study area and forest area was the largest, it was 17 452.9 ha, accounting for 81.1% of the total corridor area.
      Conclusion  The MSPA method has the advantages of accurate and detailed evaluation of geometric connectivity, small amount of data required and visualization of analysis results. The network analysis method could optimize the ecological network. Therefore, based on the MSPA method and network analysis method, the accuracy of the ecological network construction in Yanqing District is more detailed and accurate. The research results have important guiding and practical value for the construction of ecological network and biodiversity protection in Yanqing District. The ecological network construction in Yanqing District could provide a reference for the other areas.
  • [1]
    Serret H, Raymond R, Foltête J C, et al. Potential contributions of green spaces at business sites to the ecological network in an urban agglomeration: the case of the Ile-de-France region, France[J]. Landscape and Urban Planning, 2014, 131: 27−35. doi: 10.1016/j.landurbplan.2014.07.003
    [2]
    赵燕如, 邹自力, 张晓平, 等. 基于LEI和MSPA的南昌市城市扩张类型与生态景观类型变化关联分析[J]. 自然资源学报, 2019, 34(4):732−744.

    Zhao Y R, Zou Z L, Zhang X P, et al. The relationship analysis of urban expansion types and changes in ecological landscape types based on LEI and MSPA in the city of Nanchang[J]. Journal of Natural Resources, 2019, 34(4): 732−744.
    [3]
    Kong F H, Yin H W, Nakagoshi N, et al. Urban green space network development for biodiversity conservation: identification based on graph theory and gravity modeling[J]. Landscape and Urban Planning, 2009, 95(1/2): 16−27.
    [4]
    Esbah H, Cook E A, Ewan J. Effects of increasing urbanization on the ecological integrity of open space preserves[J]. Environmental Management, 2009, 43(5): 846−862. doi: 10.1007/s00267-009-9274-z
    [5]
    傅强. 基于生态网络的非建设用地评价方法研究[D]. 北京: 清华大学, 2013.

    Fu Q. Study of non-development land evaluation method based on ecological network[D]. Beijing: Tsinghua University, 2013.
    [6]
    张蕾, 苏里, 汪景宽, 等. 基于景观生态学的鞍山市生态网络构建[J]. 生态学杂志, 2014, 33(5):1337−1343.

    Zhang L, Su L, Wang J K, et al. Establishment of ecological network based on landscape ecology in Anshan[J]. Chinese Journal of Ecology, 2014, 33(5): 1337−1343.
    [7]
    刘世梁, 侯笑云, 尹艺洁, 等. 景观生态网络研究进展[J]. 生态学报, 2017, 37(12):3947−3956.

    Liu S L, Hou X Y, Yin Y J, et al. Research progress on landscape ecological networks[J]. Acta Ecologica Sinica, 2017, 37(12): 3947−3956.
    [8]
    史瑶. 基于MSPA和MCR模型的资兴市生态网络构建研究[D]. 长沙: 中南林业科技大学, 2019.

    Shi Y. Ecological network construction and research using MSPA and MCR models in Zixing City, Hunan Province, China[D]. Changsha: Central South University of Forestry & Technology, 2019.
    [9]
    Levin N, Lahav H, Ramon U, et al. Landscape continuity analysis: a new approach to conservation planning in Israel[J]. Landscape and Urban Planning, 2006, 79(1): 63−64.
    [10]
    彭镇华, 江泽慧. 中国森林生态网络系统工程[J]. 应用生态学报, 1999, 10(1):99−103. doi: 10.3321/j.issn:1001-9332.1999.01.026

    Peng Z H, Jiang Z H. China forest ecological network system project[J]. Chinese Journal of Applied Ecology, 1999, 10(1): 99−103. doi: 10.3321/j.issn:1001-9332.1999.01.026
    [11]
    谢慧玮, 周年兴, 关健. 江苏省自然遗产地生态网络的构建与优化[J]. 生态学报, 2014, 34(22):6692−6700.

    Xie H W, Zhou N X, Guan J. The construction and optimization of ecological networks based on natural heritage sites in Jiangsu Province[J]. Acta Ecologica Sinica, 2014, 34(22): 6692−6700.
    [12]
    许峰, 尹海伟, 孔繁花, 等. 基于MSPA与最小路径方法的巴中西部新城生态网络构建[J]. 生态学报, 2015, 35(19):6425−6434.

    Xu F, Yin H W, Kong F H, et al. Developing ecological networks based on MSPA and the least-cost path method: a case study in Bazhong Western New District[J]. Acta Ecologica Sinica, 2015, 35(19): 6425−6434.
    [13]
    李翅, 邢晓娟. 网络分析法在市域绿色空间体系规划方案评估中的应用[J]. 规划师, 2016, 32(增刊2): 58-63.

    Li C, Xing X J. Application of network analytic method in urban green spatial system planning evaluation[J]. Planners, 2016, 32(Suppl. 2): 58-63.
    [14]
    杨帆. 生态文明思想指导下的城乡发展模式研究: 以北京市延庆区为例[C]//中国城市规划学会, 杭州市人民政府. 共享与品质: 2018中国城市规划年会论文集(08城市生态规划). 杭州: 中国城市规划学会, 2018.

    Yang F. Research and rural development under the guidance of thinking mode of ecological civilization: to Yanqing District, Beijing[C]//Chinese Urban Planning Society, Hangzhou Municipal People’s Government. Sharing and quality: proceedings of the 2018 China Urban Planning Annual Conference (08 Urban Ecological Planning). Hangzhou: Chinese Urban Planning Society, 2018.
    [15]
    吴健平. 遥感影像解译精度的分析[J]. 遥感信息, 1992(2):17−18.

    Wu J P. Analysis of interpretation precision of remote sensing images[J]. Remote sensing information, 1992(2): 17−18.
    [16]
    杨志广, 蒋志云, 郭程轩, 等. 基于形态空间格局分析和最小累积阻力模型的广州市生态网络构建[J]. 应用生态学报, 2018, 29(10):3367−3376.

    Yang Z G, Jiang Z Y, Guo C X, et al. Construction of ecological network using morphological spatial pattern analysis and minimal cumulative resistance models in Guangzhou City, China[J]. Chinese Journal of Applied Ecology, 2018, 29(10): 3367−3376.
    [17]
    王玉莹, 沈春竹, 金晓斌, 等. 基于MSPA和MCR模型的江苏省生态网络构建与优化[J]. 生态科学, 2019, 38(2):138−145.

    Wang Y Y, Shen C Z, Jin X B, et al. Developing and optimizing ecological networks based on MSPA and MCR model[J]. Ecological Science, 2019, 38(2): 138−145.
    [18]
    陈春娣, 吴胜军, Douglas M C, et al. 阻力赋值对景观连接模拟的影响[J]. 生态学报, 2015, 35(22):7367−7376.

    Chen C D, Wu S J, Douglas M C, et al. Effects of changing cost values on landscape connectivity simulation[J]. Acta Ecologica Sinica, 2015, 35(22): 7367−7376.
    [19]
    Urban D L, Minor E S, Treml E A, et al. Graph models of habitat mosaics[J]. Ecology Letters, 2009, 12(3): 260−273. doi: 10.1111/j.1461-0248.2008.01271.x
    [20]
    曹翊坤, 付梅臣, 谢苗苗, 等. 基于LSMM与MSPA的深圳市绿色景观连通性研究[J]. 生态学报, 2015, 35(2):526−536.

    Cao Y K, Fu M C, Xie M M, et al. Landscape connectivity dynamics of urban green landscape based on morphological spatial pattern analysis (MSPA) and linear spectral mixture model (LSMM) in Shenzhen[J]. Acta Ecologica Sinica, 2015, 35(2): 526−536.
    [21]
    于亚平, 尹海伟, 孔繁花, 等. 基于MSPA的南京市绿色基础设施网络格局时空变化分析[J]. 生态学杂志, 2016, 35(6):1608−1616.

    Yu Y P, Yin H W, Kong F H, et al. Analysis of the temporal and spatial pattern of the green infrastructure network in Nanjing based on MSPA[J]. Chinese Journal of Ecology, 2016, 35(6): 1608−1616.
    [22]
    朱强, 俞孔坚, 李迪华. 景观规划中的生态廊道宽度[J]. 生态学报, 2005, 25(9):2406−2412. doi: 10.3321/j.issn:1000-0933.2005.09.037

    Zhu Q, Yu K J, Li D H. The width of ecological corridor in landscape planning[J]. Acta Ecologica Sinica, 2005, 25(9): 2406−2412. doi: 10.3321/j.issn:1000-0933.2005.09.037
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