文章摘要
2021年夏秋季渤海浮游动物群落变化特征
Characteristics of changes in zooplankton communities in the Bohai Sea in summer and autumn, 2021
投稿时间:2024-11-13  修订日期:2025-01-06
DOI:
中文关键词: 渤海  浮游动物  群落结构  优势种  环境因子
英文关键词: Bohai Sea  Zooplankton  Community structure  Dominant species  Environmental factors
基金项目:崂山实验室科技创新项目(LSKJ202203803),国家自然科学基金(42106116;42249901;42349901),山东省自然科学基金(ZR2020QD104),山东博士后科学基金(SDCX-ZG-202303049),山东省泰山学者专项基金(tsqn202103135),中国水产科学院基本科研业务费(2023TD01)
作者单位邮编
赵杰 中国水产科学研究院黄海水产研究所 266071
时永强 中国水产科学研究院黄海水产研究所 
单秀娟* 中国水产科学研究院黄海水产研究所 266071
韩青鹏 中国水产科学研究院黄海水产研究所 
邹建宇 中国海洋大学 
赵永松 中国水产科学研究院黄海水产研究所 
李文雄 中国水产科学研究院黄海水产研究所 
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中文摘要:
      浮游动物是海洋生态系统中至关重要的次级生产者。为了解渤海浮游动物群落季节变化特征,本研究根据2021年6月和10月在渤海两个航次的调查数据,分析了夏秋季渤海浮游动物群落种类组成、丰度和优势种的季节变化情况,探究了环境因子对浮游动物群落组成和分布的影响。本研究共鉴定出浮游动物41种(类),其中桡足类14种,浮游幼虫13类,水螅水母类8种,端足类2种,栉板动物、枝角类、毛颚动物、尾索动物各1种。渤海浮游动物群落种类组成和分布呈现出明显的季节差异,夏季浮游动物的平均丰度明显高于秋季,Shannon-Wiener多样性指数(H')、Margalef丰富度指数(d)和Pielou均匀度指数(J')均呈现出秋季高夏季低的趋势。小拟哲水蚤(Paracalanus parvus)、洪氏纺锤水蚤(Acartia hongi)、拟长腹剑水蚤(Oithona similis)、强额拟哲水蚤(Paracalanus crassirostris)为夏秋季共有的优势种。冗余分析显示,夏季小拟哲水蚤等丰度与浮游植物丰度呈出显著的正相关性(p<0.05),强额拟哲水蚤等丰度与温度呈极显著的正相关关系(p<0.01),秋季近缘大眼剑水蚤(Ditrichocorycaeus affinis)丰度与温度呈显著正相关关系(p<0.05)。通过聚类分析将夏秋季浮游动物群落各划分为3个组群。BIO-ENV分析显示,夏季影响渤海浮游动物群落结构的最佳解释变量组合为表层温度、表层盐度、底层盐度和浮游植物丰度,秋季影响渤海浮游动物群落结构的最佳解释变量组合为表层盐度和表层溶解氧。
英文摘要:
      Abstract: Zooplankton, as essential secondary producers, are pivotal in maintaining the stability of marine ecosystems. The Bohai Sea, known for its rich biological resources, serves as a important spawning and feeding ground for numerous economic fish and shrimp in northern China. Studying the seasonal variations of zooplankton communities and their relationship with environmental factors is vital for assessing the current status of the Bohai Sea ecosystem and promoting the sustainable development of marine ecosystems. This study analyzed the community structure of zooplankton in the Bohai Sea using indices such as species turnover rate (A), dominance (Y), turnover rate of dominant species (R), Shannon-Wiener diversity index (H?), Margalef species richness index (d), and Pielou evenness index (J?), based on survey data collected during two cruises in June and October 2021.The results showed that a total of 43 phytoplankton species were collected in summer, with an average abundance was 34,722.6 ± 31,775.1 ind/m3. 67 phytoplankton species were identified in autumn, with an average abundance of 464,376.6 ± 422,191.0 ind/m3. The high-value zones for phytoplankton abundance in summer were mainly distributed in Laizhou Bay and adjacent waters, whilethe high-value zones shifted to the Bohai Bay entrance and the central and southern Bohai Sea in autumn. A total of 41 zooplankton species (taxa) were identified, including 14 Copepod species, 13 pelagic larvae taxa, 8 Hydrozoa species, 2 Amphipoda species, and one species each of Ctenophora, Cladocera, Chaetognatha, and Tunicata. Due to the influence of high summer temperatures, the number of warm-water species significantly increased in autumn, resulting in higher species richness in autumn (36 species) compared to summer (30 species). Zooplankton abundance averaged higher in the summer (5,460.0 ind/m3) than in the autumn (4,116.9 ind/m3), with high-abundance zones occurring in warmer, lower-salinity areas of the sea. The spatial distribution of zooplankton abundance in summer was similar to that of phytoplankton, with primary concentrations in Laizhou Bay and Bohai Bay, while the distribution shifted to the central and southern Bohai Sea in autumn. The Shannon-Wiener diversity index (H?), Margalef richness index (d), and Pielou evenness index (J?) all exhibited higher values in autumn compared to summer. Dominant zooplankton species in summer included Acartia hongi, Oithona similis, Paracalanus parvus, Centropages abdominalis, Calanus sinicus, Acartia omorii, and Paracalanus crassirostris, while in autumn, the dominant species were A. hongi, P. parvus, P. crassirostris, O. similis, Bivalve larvae, Ditrichocorycaeus affinis, and Oikopleura dioica. Both P. parvus and A. hongi were significantly correlated with higher temperatures and higher phytoplankton abundance. Redundancy analysis revealed that P. parvus and A. omorii were significantly positively correlated with phytoplankton abundance in summer (p<0.05), while P. parvus and P. crassirostris showed significant positive correlations with temperature (p<0.01) and negative correlations with salinity and dissolved oxygen (p<0.05). In autumn, D. affinis was positively correlated with temperature (p<0.05), and O. dioica exhibited a highly significant negative correlation with salinity (p<0.01). Cluster analysis classified the zooplankton into three groups for both summer and autumn. In summer, Group A, found only at a few stations in the southern Bohai Sea, had the lowest zooplankton abundance (371.0 ind/m3). Group B, located in the Bohai Bay and Laizhou Bay regions, had the highest zooplankton abundance (12,937.5 ind/m3). Group C encompassed the central and northern Bohai Sea regions. In autumn, Group D, primarily in Liaodong Bay and the central-northern Bohai Sea, had the lowest zooplankton abundance (1,373.5 ind/m3). Group E, in the central Bohai Sea, had relatively higher zooplankton abundance (3,818.4 ind/m3). Group F, mainly in Bohai Bay and Laizhou Bay, had the highest zooplankton abundance (6,074.7 ind/m3). SIMPER analysis indicated that four zooplankton species, each contributing over 5%, accounted for cumulative contribution rates of 87.7% and 82.9% in Groups A and C, respectively. These species include A. hongi, O. similis, P. parvus, and C. abdominalis. In Group B, four species contributed 85.3% to the similarity, namely A. hongi, P. parvus, P. crassirostris, and O. similis. In Group D, five species contributed 87.6%, including A. hongi, P. parvus, O. similis, Bivalve larvae, and Paracalanus crassirostris. In Group E, five species accounted for 83.2%, namely Acartia hongi, P. parvus, Bivalve larvae, P. crassirostris, and D. affinis. In Group F, four species contributed 81.4% to the similarity, including P. parvus, A. hongi, P. crassirostris, and O. similis. BIO-ENV analysis revealed that the best explanatory combination offactors for summer zooplankton community structure was surface temperature, surface salinity, bottom salinity, and phytoplankton abundance (ρ=0.303), while the best explanatory combination for autumn was surface salinity and surface dissolved oxygen (ρ=0.190). These findings are significance for understanding the seasonal variation characteristics and the dynamic changes in the marine ecological environment. They are crucial for assessing the current status of the Bohai Sea ecosystem and promoting the sustainable development of marine ecosystems, providing foundational data and scientific basis for seasonal variations of zooplankton in the Bohai Sea and adaptive management of coastal ecosystems.
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