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    小兴安岭国家公园候选区空间规划适宜性评价

    Research on suitability evaluation of spatial planning for candidate areas in Xiaoxing’anling National Park

    • 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的问题,对标国家公园设立标准,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优先规划区,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,采用AHP-熵权法组合赋权,结合GIS、MaxEnt、Fragstats、CASA及InVEST模型开展综合评价与空间分析,识别小兴安岭研究区范围内代表物种适生区范围最广,区域景观代表性最强,生态完整性和原真性最高,且管理可行性较大的国家公园优先规划区域。
      结果 (1)准则层权重分别为国家代表性(0.434)、生态重要性(0.316)和管理可行性(0.250),国家代表性在国家公园优先规划区识别中占主导地位。(2)国家代表性维度中,物种代表性权重最高(0.550),7种代表物种MaxEnt模型AUC值均高于0.8,且适生区主要集中于研究区中南部并与高等级景观分布吻合。(3)生态重要性维度中,生态完整性权重占比较大(0.662),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)管理可行性维度中,研究区人口密度较低,约50%范围内人口密度小于20人/km2,且中部与东南部区域保护地聚集度高,具备较好的管理建设基础与公众服务条件。(5)综合评估结果表明,小兴安岭国家公园候选区最优规划区面积约17613.6 km2,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 小兴安岭国家公园优先规划区与代表性、重要性、可行性维度分项结果高度一致,呈现显著空间集聚特征,以伊春市与黑河市逊克县为核心的中部区域生态完整性与原真性较高,是区域生态安全的重要支撑。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,可为以国家公园为主体的自然保护地体系建设及国土空间规划工作提供参考,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 In view of the problems of unsystematic evaluation system and difficult quantification of ecological importance and management feasibility in the spatial planning of national parks, standards were set for national parks. Taking the candidate areas of Xiaoxing’anling National Park as an example, a multidimensional comprehensive evaluation framework was constructed and its priority planning areas were identified to promote the systematization of National Park spatial planning and provide reference for the construction of national park system in China.
      Method Through the construction of a three-dimensional evaluation system of “national representativeness-ecological importance-management feasibility”, AHP-EWM weight method were used to carry out comprehensive evaluation and spatial analysis combined with GIS, MaxEnt, FRAGSTATS, CASA and InVEST models, and the priority planning areas of national parks with the widest range of suitable areas for representative species, the strongest landscape representativeness, the highest ecological integrity and authenticity, and strong management feasibility within the Xiaoxinganling research area were identified.
      Result (1) The weights of the criteria layer are national representativeness (0.434), ecological importance (0.316) and management feasibility (0.250), respectively. Representativeness plays a dominant role in the identification of priority planning areas of national parks. (2) In the dimension of national representativeness, the weight of species representativeness was the highest (0.550), and the AUC values of MaxEnt model of seven representative species were higher than 0.8, and the suitable areas were mainly concentrated in the south central part of the study area, which was consistent with the distribution of high-grade landscape. (3) In the dimension of ecological importance, the weight of ecological integrity is relatively large (0.662). The overall differentiation pattern of ecological pattern process service is high in the middle and low in the periphery, which is consistent with the authenticity evaluation results. (4) In the dimension of management feasibility, the population density in the study area is relatively low, less than 20 people/km2within about 50%, and the central and southeast regions have high concentration of protected areas, which have good management and construction foundation and public service conditions. (5) The comprehensive evaluation results show that the optimal planning area of Xiaoxing'anling National Park candidate area is about 17613.6 km2, accounting for 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 The priority planning area of Xiaoxing'anling National Park is highly consistent with the subentry results of the dimensions of representativeness, importance and feasibility, showing significant spatial agglomeration characteristics. The central region with Yichun City and Xunke County in Heihe City as the core has high ecological integrity and authenticity, which is an important support for regional ecological security. The multi-dimensional comprehensive evaluation framework constructed in this study provides quantitative basis and technical support for the scientific identification and spatial optimization of the candidate areas of Xiaoxing'anling National Park, which can provide reference for the construction of natural conservation land system and land spatial planning with national park as the main body, and has certain reference significance for the planning and management of candidate areas of other national parks.

       

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