[邕江河口浮游植物的时空变化及驱动因素]。

Q3 Environmental Science
Yi-Jun Ou, Zhi-Bing Jiang, Man-Qiu Xu, Pei-Song Yu, Wei DU, De-Gang Wang, Yu-Lu Jiang, Jiang-Ning Zeng
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引用次数: 0

摘要

为探讨小型河口浮游植物群落的时空变化,我们采集了邕江河口雨季、常年和旱季的地表水样本,并确定了浮游植物群落的主要驱动因子。结果表明,各季浮游植物共有 358 种,隶属于 9 个门、123 个属。在雨季、常年和旱季,物种数分别为 276、154 和 151,丰度分别为(170.45±225.43)×103、(51.92±30.28)×103 和(31.65±12.79)×103 cells-L-1。硅藻在浮游植物群落中占主导地位,主要优势种为 Cyclotella meneghiniana、Skeletonema costatum 和 Paralia sulcata。在雨季,香农多样性指数和皮卢均匀度指数从口内向口外下降,但在正常季节和旱季没有明显的空间差异。非度量多维尺度分析和相似性分析结果表明,浮游植物群落组成在不同区域(口内、口外和口内)和不同季节存在显著差异。在湿季,浮游植物丰度与温度、溶解性无机氮和溶解性活性磷呈显著正相关,但与盐度呈显著负相关。在正常季节,浮游植物数量与温度呈明显负相关。在旱季,浮游植物丰度与环境因子无明显相关性。冗余分析结果显示,温度、盐度、铵和溶解性活性磷对浮游植物群落变化的解释率分别为 19.5%、11.9%、9.4% 和 8.2%。这些结果揭示了甬江河口浮游植物群落的主要驱动因子(温度、盐度和营养物质)以及硅藻的高度优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Temporal and spatial variations and driving factors of phytoplankton in Yongjiang River estuary].

To explore the temporal and spatial variations in phytoplankton community in small estuaries, we collected surface water samples from Yongjiang River estuary during wet, normal, and dry seasons and determined the main driving factors of phytoplankton community. A total of 358 species belonging to nine phyla and 123 genera were identified in all seasons. During wet, normal, and dry seasons, species number was 276, 154 and 151, and the abundance was (170.45±225.43)×103, (51.92±30.28)×103 and (31.65±12.79)×103 cells·L-1, respectively. Diatoms dominated the phytoplankton community, and the main dominant species were Cyclotella meneghiniana, Skeletonema costatum, and Paralia sulcata. Shannon diversity and Pielou evenness indices decreased from inside mouth to outside mouth in wet season, but there was no obvious spatial difference in normal season or dry season. Results of non-metric multidimensional scaling analysis and analysis of similarities showed that phytoplankton community composition differed significantly among different regions (inside, at and outside mouth) and different seasons. In wet season, phytoplankton abundance was significantly positively correlated with temperature, dissolved inorganic nitrogen, and dissolved reactive phosphorus, but significantly negatively correlated with salinity. In normal season, phytoplankton abundance was significantly negatively correlated with temperature. In dry season, it was not significantly correlated with environmental factors. Results of redundancy analysis showed that temperature, salinity, ammonium and dissolved reactive phosphorus explained the variations in phytoplankton community by 19.5%, 11.9%, 9.4% and 8.2%, respectively. These results revealed high dominance of diatoms and the main driving factors (temperature, salinity and nutrients) of phytoplankton community in Yongjiang River estuary.

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来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
自引率
0.00%
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11393
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