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中国国际重要湿地水鸟分布格局及其影响因素

Distribution patterns of waterbirds and their driving factors in Ramsar sites of China

  • 摘要: 中国大多数国际重要湿地都具有重要的水鸟保护价值。然而,当前对中国国际重要湿地水鸟多样性的多维度空间格局及其驱动机制仍缺乏系统认知。本研究基于中国80处国际重要湿地水鸟调查名录,分析了水鸟多样性沿经度、纬度、海拔三大地理梯度的空间分布格局及其驱动机制。研究结果表明,水鸟物种丰富度随经度升高呈显著增加趋势(p<0.001),系统发育最近邻体结构和功能结构随经度升高显著趋于聚集(p<0.001),指示东部高经度地区环境过滤作用显著增强;系统发育结构受纬度梯度调控显著(p<0.001),高纬度地区呈现系统发育整体平均结构发散与系统发育最近邻体结构聚集并存的复合格局;在海拔梯度上,物种丰富度随海拔升高显著降低(p<0.001),而系统发育和功能多样性随海拔升高显著升高(p<0.001),群落结构由低海拔的聚集状态转为高海拔的发散状态。年均温、等温性等温度因子和湿地面积是影响水鸟多样性分布格局的核心驱动因子,其对多样性模型的解释力均超过20%(调整后R²为23%~42%),其中年均温对物种丰富度的贡献最大。研究揭示了不同空间梯度下水鸟群落构建机制的显著差异性:低海拔地区谱系聚集以环境过滤为主导;而高海拔地区的谱系发散,可能源于生态位分化和竞争性排斥。本研究可为中国水鸟多样性差异化保护策略的制定和栖息地修复实践提供科学依据。

     

    Abstract: Most internationally important wetlands in China hold irreplaceable value for waterbird conservation. However, systematic understanding remains lacking regarding the multi-dimensional spatial patterns of waterbird diversity in these wetlands and their underlying driving mechanisms. Based on waterbird species checklists from 80 internationally important wetlands across China, this study analyzed the spatial distribution patterns of waterbird diversity along three major geographical gradients, longitude, latitude, and elevation, and their driving mechanisms. The results showed that species richness exhibited a significant increasing trend with rising longitude (p<0.001); phylogenetic nearest-neighbor structure and functional structure significantly tended toward clustering with increasing longitude (p<0.001), indicating significantly enhanced environmental filtering in high-longitude eastern regions; phylogenetic structure was significantly regulated by the latitudinal gradient (p<0.001), with high-latitude areas displaying a complex pattern characterized by the coexistence of overall phylogenetic structure divergence and close-relative clustering. Along the elevational gradient, species richness significantly decreased with increasing elevation (p<0.001), whereas phylogenetic and functional diversity significantly increased with rising elevation (p<0.001), with community structure shifting from a clustered state at low elevations to a divergent state at high elevations. Temperature factors such as mean annual temperature (bio1) and isothermality (bio3), along with wetland area, were identified as core driving factors influencing waterbird diversity distribution patterns, with explanatory power exceeding 20% in diversity models (adjusted R²=0.23-0.42), among which mean annual temperature (bio1) contributed the most to species richness. This study reveals significant differences in waterbird community assembly mechanisms across spatial gradients: phylogenetic clustering at low elevations is dominated by environmental filtering, whereas phylogenetic overdispersion at high elevations may result from niche differentiation and competitive exclusion. These findings can provide a scientific basis for formulating differentiated conservation strategies and guiding habitat restoration practices for waterbird diversity in China.

     

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