红树林-水产养殖耦合系统浮游植物群落时空特征及环境驱动机制研究

Spatiotemporal characteristics and environmental driving mechanisms of phytoplankton communities in a mangrove-aquaculture coupled system

  • 摘要: 红树林-水产养殖耦合系统是一种兼顾红树林保护与沿海养殖业发展的可持续性发展模式,浮游植物群落的时空变化特征和环境驱动机制是认知这一耦合模式生态缓冲作用的关键。本研究于2024年9月至2025年2月,在广东台山镇海湾红树林国家湿地公园内,设置红树林-水产养殖耦合池塘、潮沟水道与传统养殖池塘3类生境共8个站位,通过调查水采浮游植物与相关环境参数,分析其种类组成、空间格局及与环境因子的关系。结果显示,在采集到的22份样品中,共鉴定浮游植物96种 (含属级未定种) ,其中硅藻 (64种) 和甲藻 (12种) 在种类数量上占优,优势种以海链藻属 (Thalassiosira sp.) 为主。群落香农-威纳指数指数主要表现为潮沟水道>耦合池塘>传统养殖池塘的格局 (2025年2月除外),群落鲁棒性指数表明耦合池塘的季度间波动最小、群落较为稳定。非度量多维尺度分析显示,耦合池塘的浮游植物群落与潮沟水道内的相似性距离逐渐缩小,传统养殖池塘则一直独立成簇。典范对应分析显示活性硅酸盐、活性磷酸盐、无机氮等营养盐始终是驱动耦合池塘与潮沟水道的关键环境因子,而传统养殖池塘则短暂受到pH与悬浮物的主导,营养盐因子的驱动方向也与其他两类生境相反。

     

    Abstract: The mangrove-aquaculture coupled system is a sustainable development model that balances mangrove conservation with the development of coastal aquaculture. Understanding the spatiotemporal variation characteristics and environmental drivers of phytoplankton communities is key to recognizing the ecological buffering role of this coupled system. From September 2024 to February 2025, we established eight sampling sites across three habitat types (Mangrove-aquaculture coupled ponds, tidal channels, and traditional aquaculture ponds) within the Taishan Zhenhai Bay Mangrove National Wetland Park in Guangdong Province. By collecting water samples to analyze phytoplankton and related environmental parameters, we examined the species composition, spatial patterns, and relationships with environmental factors. The results showed that, among the 22 samples, a total of 96 species, including undetermined species at the genus level, were identified. Diatoms (64 species) and dinoflagellates (12 species) dominated in terms of species richness, with Thalassiosira sp. being the predominant species. The Shannon-Wiener index generally followed a pattern of tidal channel>coupled ponds>traditional aquaculture ponds (Except in February 2025), while the community robustness index indicated that coupled ponds exhibited the least inter-seasonal fluctuation and the most stable community. Non-metric multidimensional scaling analysis showed that the similarity distance between the phytoplankton communities in the coupled ponds and those in the tidal channels gradually decreased, while the traditional aquaculture ponds consistently formed a distinct cluster. Canonical correspondence analysis revealed that nutrients such as reactive silicate, reactive phosphate, and inorganic nitrogenconsistently served as the key environmental drivers for coupled ponds and tidal channels, whereas traditional aquaculture ponds were briefly dominated by pH and suspended solids, and the direction of nutrient-driven changes was opposite to that of the other two habitat types.

     

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