文章摘要
黄海海州湾筏式长牡蛎和紫贻贝养殖区浮游植物群落特征及影响因子分析
Analysis of phytoplankton community characteristics and influencing factors in raft oyster and mussel culture area of Haizhou Bay, Yellow Sea, China
投稿时间:2024-11-25  修订日期:2025-01-14
DOI:
中文关键词: 浮游植物  群落结构  环境因子  贝类养殖  海州湾
英文关键词: Phytoplankton  Community structure  Environmental factors  Shellfish farming  Haizhou Bay
基金项目:
作者单位邮编
孟嵘钊 上海海洋大学水产与生命学院 上海 201306
张继红* 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业与可持续发展重点实验室 山东 青岛 266071
王新萌 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业与可持续发展重点实验室 山东 青岛 
吴文广 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业与可持续发展重点实验室 山东 青岛 
刘毅 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业与可持续发展重点实验室 山东 青岛 
宫雪 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业与可持续发展重点实验室 山东 青岛 
谭柳书仪 上海海洋大学水产与生命学院 上海
中国水产科学研究院黄海水产研究所 农业农村部海洋渔业与可持续发展重点实验室 山东 青岛 
马浩杰 中国水产科学研究院黄海水产研究所 农业农村部海洋渔业与可持续发展重点实验室 山东 青岛 
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中文摘要:
      为探索贝类养殖和环境因子对浮游植物群落结构的影响,于2023年3月至12月对海州湾三倍体长牡蛎与紫贻贝混养区域与非养殖区域的浮游植物及环境因子进行了调查。采用双因素方差分析(Two-way ANOVA)、典型判别分析(Canonical Discriminant Analysis, CDA)以及冗余分析(Redundancy Analysis, RDA)方法研究了浮游植物群落结构的季节和区域变化及其与环境因子的关系。调查区域共鉴定浮游植物3门33属69种,硅藻门为优势类群,种类数占比约为87%。调查期间共有14种浮游植物作为优势种出现,其中多属硅藻门,且季节区域变化明显。浮游植物丰度变化范围为(1.40~739.11)×104 cell/m3,受季节和区域影响显著(P<0.05),10月营养盐浓度最高值时,丰度达到全年最高值。空间分布上浮游植物丰度近岸高于远岸,贝类养殖一区丰度各季节均高于其他区域。物种多样性指数具有区域和季节差异显著(P<0.05),二区浮游植物群落多样性指数均高于其他区域,9月贝类养殖区(一区、二区)浮游植物群落多样性指数均高于非养殖区(航道区、外海区),虽有部分长牡蛎死亡情况,但浮游植物群落结构可能仍受到大量存活的长牡蛎和紫贻贝活动影响,养殖区浮游植物群落更稳定。CDA结果显示,一区、二区与外海区浮游植物群落结构相似度较低,贝类养殖对浮游植物有一定程度影响。RDA结果表明,浮游植物优势种丰度受到温度(T)、pH、硝酸盐(NO3-N)和亚硝酸盐(NO2-N)影响。贝类通过上行或下行控制能够改变浮游植物群落组成。本研究初步探究了贝类养殖区浮游植物与贝类养殖和环境因子之间关系,为贝类养殖规划和养殖容量评估提供了数据资料。
英文摘要:
      Phytoplankton, serving as crucial primary producers within marine ecosystems, exhibit rapid responsiveness to ecological shifts in aquatic environments, thereby playing a pivotal role in maintaining the health and stability of these systems. China, a leading aquaculture nation, boasts approximately 70 percent of global aquaculture output, with shellfish constituting a significant portion, accounting for 72 percent of total production. These phytoplankton serve as the primary food source for shellfish, which regulate their biomass through filter feeding mechanisms. Furthermore, the excretions from shellfish modify nutrient concentrations in the water, indirectly influencing the composition of phytoplankton communities and, consequently, impacting water quality and overall ecosystem health. By examining the intricate relationship between shellfish and phytoplankton and exploring the ramifications of shellfish farming activities on phytoplankton populations, we can anticipate and address the potential effects of marine environmental changes on aquaculture. This endeavor holds immense significance for assessing ecological carrying capacity and planning shellfish farming activities, thereby ensuring a harmonious balance between marine economic development and ecological preservation. Haizhou Bay, located between the southern part of the Shandong Peninsula and the northern part of Jiangsu Province, has shellfish and nori as its main farming species, with shellfish being the dominant species. There are few studies on the relationship between shellfish culture and phytoplankton communities in Haizhou Bay. To explore the influence of mixed cultivation of oyster and mussel,as well as marine environmental factors on phytoplankton community structure, surveys of phytoplankton and environmental factors in Haizhou Bay were investigated in March, July, September, October and December 2023, respectively. The survey was divided into four areas: Area 1 and Area 2 as aquaculture areas, and the waterway area and offshore area as non- aquaculture areas. The shallow-water type III plankton network was used to vertically dragged from the seabed to the sea surface to collect phytoplankton biological samples. Environmental factors of both sea surface and bottom were investigated and the average value was calculated for data analysis. Two-way analysis of variance (Two-way ANONVA) was performed on environmental factors and phytoplankton communities for seasonal and regional changes. Canonical discriminant analysis (CDA) was used to analyze the similarity of phytoplankton community structure in different areas, and redundancy analysis (RDA) was conducted to study the relationship between dominant phytoplankton species and environmental factors. This study found significant seasonal differences in temperature, salinity, pH, dissolved oxygen (DO), chemical oxygen demand (COD) and nutrient concentration in the survey area (P<0.001). The water temperature and salinity were affected by terrestrial inputs. During during July, September and December, the concentration of nutrient salts in Area 1 and Area 2 was higher than that in other regions. A total of 69 species of phytoplankton in 33 genera and 3 phyla were identified in the survey area, with bacillariophyta being the dominant group, accounting for 87% of the species. There were 14 dominant species appeared in the survey, including Chaetoceros lorenzianus, Chartoceros sp., Coscinodiscus grannii, Skeletonema costatum, etc, most of which belonged to bacillariophyta, with significant seasonal and regional variations. There were significant differences in phytoplankton abundance between seasons and regions (P<0.05), ranging from (1.40~739.11)×104cell/m3. After the red tide in September, the abundance of phytoplankton decreased compared to July and reached the highest value in October. Affected significantly by terrestrial inputs, the abundance in Area 1 was higher than that in other areas in all seasons, and the surveyed area generally showed a trend of higher abundance of nearshore phytoplankton compared to offshore areas. There were significant regional and seasonal differences in species diversity index (P<0.05). The survey conducted in September, following the occurrence of a red tide, found that the phytoplankton diversity index was higher in the aquaculture area than in the non-aquaculture area. Although some oysters died, the proportion of remaining shellfish in farming is still significant, and it is speculated that shellfish activities can increase the stability of the phytoplankton community to a certain extent. The result of CDA showed that the similarity of phytoplankton community structure between the aquaculture area(Area 1、Area 2)and the offshore area is low, and shellfish activities can influence the composition of the phytoplankton community structure. The waterway area, due to its proximity to the bay and slower water exchange, has a high similarity in phytoplankton community structure with Area 2. The results of RDA analysis showed that the abundance of dominant species of phytoplankton were affected by environmental factors such as temperature, pH, NO3-N and NO2-N, and the abundance of dominant species was positively correlated with nutrient concentration in July, September and October. In Area 1, environmental factors such as water temperature and salinity and nutrient concentration were greatly affected by terrestrial inputs, and the changes of phytoplankton community in this area may be affected by both geographical location and shellfish farming activities. This study preliminarily explored the relationship between phytoplankton and environmental factors in shellfish culture area, and can provide data for shellfish culture planning and aquaculture capacity assessment in Haizhou Bay.
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