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浙江建德村庄绿化植被覆盖率及物种多样性特征分析

Characterization of Vegetation Coverage and Species Diversity in Village Greening of Jiande, Zhejiang Province

  • 摘要: 为探究乡村振兴背景下不同地形村庄的绿化特征及其生态效应,本研究以浙江省建德市26个典型村庄(平原村3个、丘陵村7个、山地村16个)为研究对象,采用实地调查与遥感影像判读相结合的方法,系统分析了不同地形村庄绿化格局与植物多样性特征。结果表明:(1)建德市村庄绿化总覆盖率达到42.37%,呈现显著的地形分异规律,其中村庄内部绿化覆盖率以平原村最高(28.99%);村庄周边绿化覆盖率以丘陵村、山地村更高,分别达31.01%和53.34%;(2)本次调查共记录绿化植物60种,隶属于31科46属,其中乡土物种占比86.67%,蔷薇科(9种)、山茶科(4种)为主要优势科;(3)生物多样性指数分析结果显示,平原、丘陵村庄的植物多样性水平显著高于山地村庄,主要原因是平原村观赏植物配置多样化,而山地村经济林多为单一化种植模式;(4)层次聚类分析可将26个研究村庄划分为两类:以山地村为主的低多样性类群和以平原、丘陵村为主的高多样性类群。研究表明,建德市村庄绿化格局与植被配置具有明显的地形适应性特征。基于此,建议山地村应优化内部空间利用并发展混交林模式,而平原村需注重景观异质性提升。本研究结果为村庄绿化规划与生态系统管理提供了科学依据,并强调了山地村庄在植被保护及生态系统管理上的挑战。后续研究建议通过长期监测与多样性分析,进一步探索绿化与生物多样性之间的动态关系。

     

    Abstract: To investigate the greening characteristics and ecological effects of villages situated in different terrain types within the context of rural revitalization, 26 representative villages (including 3 plain villages, 7 hilly villages and 16 mountainous villages) in Jiande City, Zhejiang Province were selected as research objects. By integrating field surveys with remote sensing image interpretation, the greening patterns and plant diversity characteristics of villages across different terrains were systematically analyzed. The results showed that:(1)The total greening coverage reached 42.37%, exhibiting a significant topographical differentiation pattern, the internal greening coverage was highest in plain villages (28.99%), while the peripheral greening coverage were higher in hilly and mountainous villages, reaching 31.01% and 53.34%, respectively.(2)A total of 60 plant species were documented, belonging to 46 genera and 31 families, among which native species accounted for 86.67%, with Rosaceae (9 species) and Theaceae (4 species) being the dominant families.(3)Analyses of biodiversity indices revealed that plant diversity levels in plain and hilly villages were significantly higher than those in mountainous villages primarily due to the diversified composition of ornamental plants in the former and the predominant monoculture pattern of economic forests in the latter. (4) Hierarchical cluster analysis divided villages into two clusters: low-diversity (predominantly mountainous) and high-diversity (plain or hilly) clusters. These findings demonstrated that the greening patterns and vegetation configuration in Jiande’s villages were distinctly adapted to the terrains. Based on these results, it is recommended that mountainous villages optimize the internal space utilization and develop mixed forest models, while plain villages should focus on enhancing landscape heterogeneity. These findings provide scientific basis for village greening planning and ecosystem management, particularly highlights challenges in mountainous vegetation conservation. Future research is suggested to further explore the dynamic relationships between greening and biodiversity through long-term monitoring and diversity analyses.

     

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