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中国广东省红树林区浮游植物多样性及群落对理化变量的响应。

Phytoplankton diversity and community responses to physicochemical variables in mangrove zones of Guangzhou Province, China.

机构信息

State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China.

Daya Bay Marine Biology Research Station, Chinese Academy of Sciences, Shenzhen, 518121, China.

出版信息

Ecotoxicology. 2020 Aug;29(6):650-668. doi: 10.1007/s10646-020-02209-0. Epub 2020 Apr 29.

DOI:10.1007/s10646-020-02209-0
PMID:32350642
Abstract

The phytoplankton diversity and community response to physicochemical variables in mangrove zones of Guangdong Province along the South China coast was investigated from October to December, 2017. This study was set to investigate the phytoplankton community structure in the mangrove zone and assess the relationship between the physicochemical variables and phytoplankton species diversity. Physicochemical variables such as water temperature, total dissolve solids (tds), pH, salinity, turbidity, electrical conductivity (EC) and nutrient salts were measured in situ across the 27 stations. A total of 451 species of phytoplankton were identified belonging to 10 groups (Bacillariophta > Cyanophyta > Chlorophyta > Euglenophyta > Dinoflagellate > Eubacteria > Ochrophyta > Crytophyta > Rhodophyta > Charophyta) and quantified to constitute a standing crop of 7.11 × 10 cells dm. The principal component analysis (PCA) reveals that reactive nitrate, phosphate, electrical conductive (EC) and turbidity were the best abiotic factors that controlled the phytoplankton community structure in the area. However, Cannon Corresponding Analysis and Pearson correlation have explicitly revealed the impact of reactive nitrate, phosphate, EC and turbidity on the phytoplankton community structure. For instance, the CCA ordination revealed that species richness and evenness were positively influenced by reactive nitrate but negatively affected by EC, turbidity and water temperature. Diatoms were mostly controlled by total dissolved solids (tds) and salinity, whereas Euglena, cyanobacteria and green algae were impacted EC and turbidity, apart from the general contribution of the nutrient salts as delineated by CCA ordination. The Shannon diversity index value exposed different levels of organic pollution across the mangrove zone of which GD37 was the most impacted station.

摘要

2017 年 10 月至 12 月,调查了中国南方广东沿海红树林区的浮游植物多样性及其对理化变量的群落响应。本研究旨在调查红树林区浮游植物群落结构,并评估理化变量与浮游植物物种多样性之间的关系。在 27 个站位现场测量了水温、总溶解固体(tds)、pH 值、盐度、浊度、电导率(EC)和营养盐等理化变量。共鉴定出浮游植物 451 种,隶属于 10 个组(Bacillariophta> Cyanophyta> Chlorophyta> Euglenophyta> Dinoflagellate> Eubacteria> Ochrophyta> Crytophyta> Rhodophyta> Charophyta),并定量组成了 7.11×10 个细胞 dm 的现存量。主成分分析(PCA)表明,活性硝酸盐、磷酸盐、电导率和浊度是控制该地区浮游植物群落结构的最佳非生物因素。然而,Cannon 对应分析和 Pearson 相关性明确揭示了活性硝酸盐、磷酸盐、EC 和浊度对浮游植物群落结构的影响。例如,CCA 排序表明,物种丰富度和均匀度受活性硝酸盐的正向影响,但受 EC、浊度和水温的负向影响。硅藻主要受总溶解固体(tds)和盐度控制,而 Euglena、蓝藻和绿藻受 EC 和浊度影响,除了 CCA 排序所描述的营养盐的一般贡献外。Shannon 多样性指数值揭示了红树林区不同程度的有机污染,其中 GD37 是受影响最大的站点。

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