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    基于多维综合评价的小兴安岭国家公园优先规划区识别

    Priority planning area identification of Xiaoxing’anling National Park based on multidimensional comprehensive evaluation

    • 摘要:
      目的 针对国家公园空间规划中评价体系不系统、生态重要性与管理可行性量化难等问题,以小兴安岭国家公园候选区为例,构建多维综合评价框架并识别其优先规划区域,旨在推动国家公园空间规划系统化,为我国国家公园体制建设工作提供参考。
      方法 通过构建“国家代表性−生态重要性−管理可行性”三维评价体系,综合 GIS、MaxEnt、Fragstats、CASA 及 InVEST 模型开展多层级指标评价与空间分析,采用 AHP−熵权法组合赋权,识别小兴安岭研究区代表物种适生区范围较广、景观代表性较强、生态完整性和原真性较高,且管理可行性较大的国家公园优先规划区域。
      结果 (1)准则层权重排序为国家代表性(0.434) > 生态重要性(0.316) > 管理可行性(0.250)。(2)国家代表性维度:研究区代表物种适生区主要集中于中南部,并与高等级景观分布吻合。(3)生态重要性维度:生态格局−过程−服务总体呈现中部高、外围低的分异格局,并与原真性评价结果一致性较高。(4)管理可行性维度:研究区人口密度较低且中部与东南片区保护地聚集度高,具备较好的管理建设基础与公众服务条件。(5)综合评价表明,小兴安岭国家公园候选区最优规划区约占研究区总面积的 14.05%,较优规划区占比约为 10.88%,优先规划区主要集中于伊春市及黑河市逊克县南部。
      结论 国家代表性在小兴安岭国家公园优先规划区识别中占主导地位,且优先规划区呈现显著空间集聚特征。研究构建的多维综合评价框架为小兴安岭国家公园候选区的科学识别与空间优化提供了量化依据与技术支撑,并对其他国家公园候选区的规划与管理具有一定的借鉴意义。

       

      Abstract:
      Objective Aiming at the problems of unsystematic evaluation system and difficult quantification of ecological importance and management feasibility in the spatial planning of national parks, taking the candidate areas of Xiaoxing’an National Park as an example, this paper constructs a multidimensional comprehensive evaluation framework and identifies its priority planning areas, in order to promote the systematization of the spatial planning of Xiaoxing’an National Park and provide reference for the construction of national park system in China.
      Method By constructing a three-dimensional evaluation system of “national representativeness-ecological importance-management feasibility”, the study integrated GIS, MaxEnt, FRAGSTATS, CASA and InVEST models to carry out multi-level index evaluation and spatial analysis, and combined weighting with AHP entropy weight method, so as to identify the priority planning areas of national parks with a wide range of suitable areas for representative species in Xiaoxing'an, strong landscape representativeness, high ecological integrity and authenticity, and high management feasibility.
      Result (1) The weight of the criteria layer was ranked as national representativeness (0.434) >ecological importance (0.316) >management feasibility (0.250). (2) From the perspective of national representativeness, the suitable areas of representative species in the study area are mainly concentrated in the central and southern part, which is consistent with the distribution of high-grade landscape. (3) In the dimension of ecological importance, the overall differentiation pattern of ecological pattern-process-service is high in the middle and low in the periphery, which is highly consistent with the authenticity evaluation results. (4) From the perspective of management feasibility, the study area has a low population density and a high concentration of protected areas in the central and southeast regions, which has a good management and construction foundation and public service conditions. (5) The comprehensive evaluation shows that the optimal planning area of the candidate area of Xiaoxing’anling National Park accounts for about 14.05% of the total area of the study area, and the better planning area accounts for about 10.88%. The priority planning areas are mainly concentrated in Yichun City and the south of Xunke County, Heihe city.
      Conclusion National representativeness plays a dominant role in the identification of priority planning areas of Xiaoxing’anling National Park, and the priority planning areas show significant spatial agglomeration characteristics. The multi-dimensional comprehensive evaluation framework constructed in this study provides quantitative basis and technical support for the scientific identification and spatial optimization of Xiaoxing’anling National Park candidate areas, and has certain reference significance for the planning and management of other national park candidate areas.

       

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