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应用生态学报 ›› 2023, Vol. 35 ›› Issue (5): 1369-1378.doi: 10.13287/j.1001-9332.202405.030

• 研究论文 • 上一篇    下一篇

甬江口浮游植物时空分布特征及驱动因子

欧奕君1,2, 江志兵1,2,3,4,5, 徐满秋2, 于培松2,3, 杜伟4, 王德刚2,4, 蒋雨露2, 曾江宁1,2,3,5*   

  1. 1浙江大学海洋学院, 浙江舟山 316021;
    2自然资源部第二海洋研究所, 自然资源部海洋生态系统动力学重点实验室, 杭州 310012;
    3浙江省近海海洋工程环境与生态安全重点实验室, 杭州 310012;
    4浙江省海洋科学院, 自然资源部海洋空间资源管理技术重点实验室, 杭州 310012;
    5自然资源部长三角海洋生态环境科学野外观测研究站, 浙江舟山 316021
  • 收稿日期:2023-08-03 接受日期:2024-03-04 出版日期:2024-05-18 发布日期:2024-11-18
  • 通讯作者: *E-mail: jiangningz@126.com
  • 作者简介:欧奕君, 女, 1998年生, 硕士研究生。主要从事海洋浮游植物生态研究。E-mail: 1149289420@qq.com
  • 基金资助:
    国家重点研发计划课题(2021YFC3101702)、浙江省重点研发计划项目(2022C03044, 2023C03120)、卫星海洋环境动力学国家重点实验室自主课题(SOED2202)和长江口-浙江近海-邻近东海多学科长期观测(LORCE)计划项目(SZ2001)

Temporal and spatial variations and driving factors of phytoplankton in Yongjiang River estuary

OU Yijun1,2, JIANG Zhibing1,2,3,4,5, XU Manqiu2, YU Peisong2,3, DU Wei4, WANG Degang2,4, JIANG Yulu2, ZENG Jiangning 1,2,3,5*   

  1. 1Ocean College, Zhejiang University, Zhoushan 316021, Zhejiang, China;
    2Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;
    3Key Laboratory of Nearshore Engineering Environment and Ecological Security of Zhejiang Province, Hangzhou 310012, China;
    4Ministry of Natural Resources Key Laboratory of Ocean Space Resource Management Tech-nology, Marine Academy of Zhejiang Province, Hangzhou 310012, China;
    5Observation and Research Station of Marine Ecosystem in the Yangtze River Delta, Ministry of Natural Resources, Zhoushan 316021, Zhejiang, China
  • Received:2023-08-03 Accepted:2024-03-04 Online:2024-05-18 Published:2024-11-18

摘要: 为探究小型河口浮游植物群落的时空变化特点,于丰水期、平水期及枯水期采集甬江口表层水样,分析浮游植物的主要驱动因子。结果表明: 共检出浮游植物9门123属358种,丰水期、平水期和枯水期物种数分别为276、154和151种,丰度分别为(170.45±225.43)×103、(51.92±30.28)×103和(31.65±12.79)×103 cells·L-1。浮游植物群落以硅藻为主,优势种有梅尼小环藻、中肋骨条藻、具槽帕拉藻等。Shannon多样性指数与Pielou均匀度指数在丰水期由口门内向口门外呈下降趋势,在平水期和枯水期空间差异较小。多维尺度分析和相似性分析表明,不同区域(口门内、口门和口门外)与不同水文期的浮游植物群落组成均差异显著。相关性分析表明,在丰水期,浮游植物丰度与温度、溶解无机氮、活性磷酸盐呈显著正相关,与盐度呈显著负相关;在平水期,丰度与温度呈显著负相关;在枯水期,丰度与环境因子无明显相关性。冗余分析表明,温度、盐度、铵氮和活性磷酸盐分别解释了浮游植物群落变化的19.5%、11.9%、9.4%和8.2%。甬江口浮游植物群落以硅藻主导,温度、盐度和营养盐是其主要驱动因子。

关键词: 甬江口, 浮游植物, 群落结构, 环境因子, 冗余分析

Abstract: 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.

Key words: Yongjiang River estuary, phytoplankton, community structure, environmental factor, redundancy analysis