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    李绍芃, 杜庆章, 宋跃朋, 李运远. 基于MSPA-MCR模型与ROS理论的首都森林生态旅游区规划研究——以北京市延庆区张山营镇为例[J]. 北京林业大学学报. DOI: 10.12171/j.1000-1522.20220429
    引用本文: 李绍芃, 杜庆章, 宋跃朋, 李运远. 基于MSPA-MCR模型与ROS理论的首都森林生态旅游区规划研究——以北京市延庆区张山营镇为例[J]. 北京林业大学学报. DOI: 10.12171/j.1000-1522.20220429
    Li Shaopeng, Du Qingzhang, Song Yuepeng, Li Yunyuan. Research on forest ecotourism planning in the capital based on MSPA-MCR and ROS theory: a case study of Zhangshanying Town, Yanqing District, Beijing[J]. Journal of Beijing Forestry University. DOI: 10.12171/j.1000-1522.20220429
    Citation: Li Shaopeng, Du Qingzhang, Song Yuepeng, Li Yunyuan. Research on forest ecotourism planning in the capital based on MSPA-MCR and ROS theory: a case study of Zhangshanying Town, Yanqing District, Beijing[J]. Journal of Beijing Forestry University. DOI: 10.12171/j.1000-1522.20220429

    基于MSPA-MCR模型与ROS理论的首都森林生态旅游区规划研究——以北京市延庆区张山营镇为例

    Research on forest ecotourism planning in the capital based on MSPA-MCR and ROS theory: a case study of Zhangshanying Town, Yanqing District, Beijing

    • 摘要:
      目的 本研究旨在通过耦合分析提出科学的规划策略,以促进北京森林生态旅游区的生态保护和可持续发展。
      方法 本研究以北京市延庆区张山营镇为例,采用形态学空间格局分析法识别生态源地,运用最小积累阻力模型识别生态廊道,并使用重力模型对廊道进行分级。同时,通过文献阅读和问卷调查确定研究区内影响游憩活动的自然、社会和现象因子,构建游憩机会谱并划分游憩分区。最后,耦合生态廊道与游憩分区的结果,提出针对不同游憩分区的具体规划策略。
      结果 (1)研究区内生态源地面积147.19 km2,占比56%,识别出潜在生态廊道15条,总长度63.88 km。(2)生态源地主要分布在研究区北部林地,生态廊道联通西部与东部生态源地,对维护研究区生态环境发挥关键作用。(3)基于游憩机会谱划分出原生区、半原生区、介入区、自由区4类游憩分区,分别占比19.7%、40.9%、31.2%、8.2%。(4)根据上述结果,提出了针对不同游憩分区的具体森林生态旅游规划策略,包括群落植物配置、群落结构、生态廊道宽度、交通布局4方面。
      结论 研究从生态保护和游客需求两个角度出发,强调应围绕重点区域进行多角度生态型保护开发。研究不仅丰富了生态旅游理论研究内容,还为森林生态旅游的可持续发展提供了实质性的理论指导和实践建议,有助于加快北京建设“生物多样性之都”的进程。

       

      Abstract:
      Objective This study aims to propose scientific planning strategies through coupled analyses and promote ecological protection and sustainable development in forest ecotourism areas of Beijing.
      Methods Taking Zhangshanying Township of Yanqing District in Beijing as an example, this study used morphological spatial pattern analysis to identify ecological source areas, applied the minimum cumulative resistance model to identify ecological corridors, and used the gravity model to classify the corridors. Meanwhile, the natural, social and phenomenal factors affecting recreational activities in the study area were identified through literature reading and questionnaire surveys, and the recreational opportunity spectrum was constructed and recreational zoning was delineated. Finally, the results of coupling ecological corridors and recreational zoning are presented, and specific planning strategies for different recreational zoning are proposed.
      Results (1) The area of ecological sources in the study area is 147.19 km2, accounting for 56% of the total area, and 15 potential ecological corridors were identified, with a total length of 63.88 km. (2) Ecological sources were mainly located in the northern woodland of the study area, and the ecological corridors connected the western and eastern ecological sources, which played a key role in maintaining the ecological environment of the study area. (3) Based on the spectrum of recreational opportunities, four types of recreational zones were classified as native, semi-native, intervening, and free zones, accounting for 19.7%, 40.9%, 31.2%, and 8.2%, respectively. (4) Based on the above results, specific forest ecotourism planning strategies for different recreational zones were proposed, including four aspects: community plant configuration, community structure, ecological corridor width, and traffic layout.
      Conclusion From the perspective of ecological protection and tourists’ demand, this study emphasized the need for multi-dimensional ecological protection and development around key areas. This study not only enriches the theoretical content of ecotourism research, but also provides substantive theoretical guidance and practical suggestions for the sustainable development of forest ecotourism, which will help to accelerate the process of building the Beijing into a “capital of biodiversity”.

       

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