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    杨鸿辉, 余娇, 耿建伟, 吴钺, 付琳, 丁铮. 基于遥感生态指数和电路理论的生态安全格局构建以广州市为例[J]. 北京林业大学学报, 2023, 45(10): 127-139. DOI: 10.12171/j.1000-1522.20220367
    引用本文: 杨鸿辉, 余娇, 耿建伟, 吴钺, 付琳, 丁铮. 基于遥感生态指数和电路理论的生态安全格局构建以广州市为例[J]. 北京林业大学学报, 2023, 45(10): 127-139. DOI: 10.12171/j.1000-1522.20220367
    Yang Honghui, Yu Jiao, Geng Jianwei, Wu Yue, Fu Lin, Ding Zheng. Construction of ecological security pattern based on remote sensing urban ecological index and circuit theory: a case study of Guangzhou City, Guangdong Province of southern China[J]. Journal of Beijing Forestry University, 2023, 45(10): 127-139. DOI: 10.12171/j.1000-1522.20220367
    Citation: Yang Honghui, Yu Jiao, Geng Jianwei, Wu Yue, Fu Lin, Ding Zheng. Construction of ecological security pattern based on remote sensing urban ecological index and circuit theory: a case study of Guangzhou City, Guangdong Province of southern China[J]. Journal of Beijing Forestry University, 2023, 45(10): 127-139. DOI: 10.12171/j.1000-1522.20220367

    基于遥感生态指数和电路理论的生态安全格局构建以广州市为例

    Construction of ecological security pattern based on remote sensing urban ecological index and circuit theory: a case study of Guangzhou City, Guangdong Province of southern China

    • 摘要:
      目的 城市化的高速推进使经济发展需求与生态保护矛盾日益突出,构建生态安全格局对实现人与自然和谐共生及国土空间结构优化具有重要意义。
      方法 以广州市为例,采用遥感生态指数(RSEI)识别生态源地,通过最小累积阻力模型与电路理论识别生态廊道、生态夹点及障碍点,从而构建广州市生态安全格局。
      结果 (1)1990—2020年广州市生态环境质量较好,RSEI均值从0.60下降至0.58再回升到0.60,呈“先降后升”趋势,但南、北部生境质量差距较大。(2)共识别出生态源地25个,面积共计1 511.26 km2,占广州市总面积20.33%,主要集中于研究区东北部,南部仅有3处生态源地;共提取出生态廊道50条,其中一级廊道20条,总长114.06 km,二级廊道22条,潜在廊道8条。(3)共识别出生态夹点48处,现状用地类型以林地、耕地、建设用地为主,其中面积最大为19.09 km2,位于番禺区莲花山一带,最小的夹点面积仅有0.11 km2;生态障碍点共识别出12个处,主要分布于黄埔区、从化区,土地利用现状主要为耕地和建设用地,其中面积最大为0.42 km2,位于从化区温泉东埔农庄北部,最小面积仅有900 m2;共识别出63处断裂点,主要集中于广州市中部的白云区和黄埔区。
      结论 研究结果可为广州市未来城市空间格局优化及生态系统修复提供数据支撑,同时为其他超大型城市的生态安全格局构建提供参考。

       

      Abstract:
      Objective In recent years, the rapid development of urbanization has made the contradiction between economic development needs and ecological protection increasingly prominent, and the construction of an ecological security pattern is of great significance for realizing the harmonious coexistence between man and nature and the optimization of spatial structure of the national territory.
      Method Taking Guangzhou City, Guangdong Province of southern China as an example, the ecological source sites were selected using the remote sensing ecological index (RSEI), and ecological corridors, ecological pinch points and barrier points were extracted by the minimum cumulative resistance model and circuit theory, so as to construct the ecological safety pattern of Guangzhou City.
      Result  (1) The ecological and environmental quality of Guangzhou City from 1990 to 2020 was relatively good, with the average value of RSEI decreasing from 0.60 to 0.58 and then increasing to 0.60, showing a trend of first decreasing and then increasing, but the difference between the habitat quality in the southern part and the northern part was large. (2) A total of 25 ecological source sites were identified, with a total area of 1 511.26 km2, accounting for 20.33% of the total area of Guangzhou City, mainly concentrated in the northeast of the study area, with only 3 ecological source sites in the south. A total of 50 ecological corridors were extracted, including 20 primary corridors with a total length of 114.06 km, 22 secondary corridors, and 8 potential corridors. (3) A total of 48 ecological pinch points were identified, with the current land use types mainly being forest land, farmland and construction land, of which the largest area was 19.09 km2, located in the area of Lianhua Mountain in Panyu District, and the smallest pinch point was only 0.11 km2 in area. A total of 12 ecological barriers were identified, mainly in Huangpu District and Conghua District, where the current land use was mainly arable land and construction land, with the largest area of 0.42 km2 located in the north of Dongpu Farm in Conghua District, and the smallest area of 900 m2. 63 fracture points were identified, mainly in Baiyun District and Huangpu District in central Guangzhou.
      Conclusion The research results can provide data support for the optimization of the future urban spatial pattern and ecosystem restoration in Guangzhou City, and at the same time, provide a reference for the construction of the ecological security pattern of other super-large cities.

       

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