国家公园社区韧性空间分异及影响因素研究: 以武夷山为例

Research on the Spatial Differentiation and Influencing Factors of Community Resilience in National Parks: Evidence from Wuyi Mountain

  • 摘要: 我国国家公园社区正面临着社区转型发展和风险防控的双重挑战, 亟须对其进行系统性韧性评估。已有研究对非特定类型社区进行普适性韧性评估框架研究, 但对国家公园背景下的社区韧性空间分异特征和影响因素尚不明晰。本研究以武夷山国家公园内及其周边13个社区为研究对象, 基于扎根理论分析其面临的干扰类型, 并从生态、经济和社会3个维度构建国家公园社区韧性评价指标体系, 分析社区韧性分异特征、识别关键影响因素并提出社区分类调控优化策略。结果显示: (1)2022年, 武夷山国家公园社区遭受产业发展困境、自然灾害、政策变动、基础设施落后、人口流动和疫情6大因素干扰, 其中产业发展困境影响最大。(2)社区综合韧性呈现出公园内社区低、周边社区高的空间分布特点。公园内社区生态韧性和社会韧性低, 经济韧性高; 周边社区生态韧性高, 经济和社会韧性在不同片区呈现较大差异。(3)生态韧性与社会韧性呈现显著正相关(r=0.608);社区综合韧性的关键影响因素中山林面积占比(0.825)、生态公益林占比(0.775)得分较高。(4)基于韧性评估结果将社区分为生态保护型、一般控制型、协同保护型、特色农业型和访客服务型5种类型, 并提出分类优化策略。本研究构建了我国国家公园社区韧性评估框架, 揭示了武夷山国家公园社区韧性的空间分异特征及影响因素, 从韧性视角为国家公园社区分类调控提供了新视角和案例借鉴。

     

    Abstract: Communities in China's national parks face dual challenges of community transformation and risk prevention, creating an urgent need for systematic resilience assessment. Existing studies have proposed generic resilience assessment frameworks applicable to communities in general, but the spatial differentiation characteristics and influencing factors of community resilience within the national park context remain unclear. Here, we investigated 13 communities within and surrounding Wuyishan National Park. Based on grounded theory, we identified the major disturbance types affecting these communities and developed a community resilience assessment indicator system across ecological, economic, and social dimensions. We then analyzed the spatial differentiation characteristics of community resilience, identified key influencing factors, and proposed optimization strategies for classified regulation. We found that: (1) In 2022, communities in Wuyishan National Park experienced six major disturbance factors, including industrial development constraints, natural disasters, policy changes, outdated infrastructure, population mobility, and the COVID-19 pandemic, with industrial development constraints having the greatest impact; (2) Overall community resilience exhibited a spatial distribution pattern of lower levels within the national park and higher levels in the surrounding communities. Specifically, communities within the park had low ecological and social resilience but high economic resilience, whereas surrounding communities had high ecological resilience, with economic and social resilience varying significantly across different areas; (3) Ecological resilience was significantly positively correlated with social resilience (r=0.608). The proportion of mountain forest area (0.825) and the proportion of ecological public welfare forests (0.775) were identified as the two most influential factors affecting overall community resilience. (4) Based on the resilience assessment results, we classified the communities into five types: ecological protection, general control, cooperative protection, characteristic agriculture, and visitor service. Corresponding optimization strategies for classified regulation were proposed. Our study develops a community resilience assessment framework for China's national parks, reveals the spatial differentiation characteristics and influencing factors of community resilience in Wuyishan National Park, and provides a novel perspective and empirical evidence for the classification-oriented governance of national park communities from a resilience perspective.

     

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