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生态学杂志 ›› 2026, Vol. 45 ›› Issue (9): 2994-3003.doi: 10.13292/j.1000-4890.202609.006

• 研究报告 • 上一篇    下一篇

三门湾至椒江口近岸海域大型底栖动物群落结构变化特征

张瑜1,2,田伟2,晁敏2*   

  1. 1大连海洋大学海洋科技与环境学院, 辽宁大连 116023; 2中国水产科学研究院东海水产研究所, 农业农村部东海渔业资源开发利用重点实验室, 上海 200090)

  • 出版日期:2026-09-10 发布日期:2026-09-08

Temporal variation of macrobenthic community structure in the nearshore waters from Sanmen Bay to Jiaojiang Estuary.

ZHANG Yu1,2, TIAN Wei2, CHAO Min2*   

  1. (1College of Marine Science and Environment Engineering, Dalian Ocean University, Dalian 116023, Liaoning, China; 2Key Laboratory of East China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China).

  • Online:2026-09-10 Published:2026-09-08

摘要: 2019年8月、11月和2020年4月、12月在三门湾至椒江口海域29个采样点对大型底栖动物进行调查,分析了其季节分布及其与环境因子的关系。本研究共采集到68种大型底栖动物,从类群构成上看,环节动物33种、软体动物13种、甲壳动物12种、刺胞动物3种、其他动物7种;环节动物和软体动物占总种数的67.6%。四航次共出现棒锥螺(Turritella bacillum)、小荚蛏(Siliqua minima)、背蚓虫(Notomastus latericeus)、双鳃内卷齿蚕(Aglaophamus dibranchis)、中国中蚓虫(Mediomastus chinensis)、不倒翁虫(Sternaspis sculata)、双形拟单指虫(Cossurella dimorpha)、白沙箸海鳃(Virgularia gustaviana)和圆筒原盒螺(Eocylichna braunsi)9个优势种。大型底栖动物群落各季节平均Shannon多样性指数范围为0.78~2.07,平均Margalef物种丰富度指数范围为0.20~0.65,平均均匀度指数范围为0.51~0.92,平均单纯度指数范围为0.29~0.54,4个指数在不同季节间均存在明显差异;β多样性以周转组分为主。GAM模型(调整R2=0.513)表明浮游植物丰度、化学需氧量(COD)及水色对栖息密度具有显著非线性影响,反映了生物、化学与光学环境在栖息密度变化中的关联性;CCA分析揭示盐度-硅酸盐协同梯度(轴1)和水温-叶绿素a协同梯度(轴2)主导群落分异,累计解释39.69%的物种-环境关系变异。聚类分析将29个站点分为3类:类群Ⅰ,以耐污种(双鳃内卷齿蚕、不倒翁虫)为主,指示陆源有机污染;类群Ⅱ,以双鳃内卷齿蚕与白沙箸海鳃共存为特征,反映潮汐调控的砂泥混合生境;类群Ⅲ,以白沙箸海鳃为标志种,表征低扰动砂质环境。


关键词: 大型底栖动物, 生物多样性, 典范对应分析, 环境因子, 群落结构

Abstract: Investigations on macrobenthic fauna were conducted at 29 sampling stations between the Sanmen Bay and Jiaojiang Estuary during August and November 2019, and April and December 2020. Their seasonal distribution and associations with environmental factors were analyzed. The results showed that a total of 68 macrobenthic species were collected. In terms of taxonomic composition, the specimen comprised 33 annelid species, 13 mollusk species, 12 crustacean species, 3 cnidarian species, and 7 species from other animal groups. Annelids and mollusks together accounted for 67.6% of the total number of species. Across the four cruises, nine dominant species were identified: Turritella bacillum, Siliqua minima, Notomastus latericeus, Aglaophamus dibranchis, Mediomastus chinensis, Sternaspis sculata, Cossurella dimorpha, Virgularia gustaviana, and Eocylichna braunsi. The seasonal average Shannon diversity index ranged from 0.78 to 2.07, average Margalef species richness index from 0.20 to 0.65, average Pielou evenness index from 0.51 to 0.92, and average Simpson dominance index from 0.29 to 0.54. All the four indices showed significant seasonal differences. Beta diversity was primarily driven by the turnover component. Generalized additive model (GAM) analysis (adjusted R2= 0.513) revealed significant nonlinear effects of phytoplankton abundance, chemical oxygen demand (COD), and water color on inhabiting density, highlighting the interconnected influence of the biological, chemical, and optical environment on its variability. Canonical correspondence analysis (CCA) identified two primary environmental gradients governing community differentiation: a synergistic salinity-silicate gradient (Axis 1) and a synergistic water temperature-chlorophyll-a gradient (Axis 2), which collectively explained 39.69% of the variation of species-environment relationship. Cluster analysis divided the 29 stations into three groups. Group I was dominated by pollution-tolerant species (A. dibranchis, S. sculata), indicating terrigenous organic pollution. Group II was characterized by the coexistence of A. dibranchis and V. gustaviana, reflecting a tidal-regulated sand-mud mixed habitat. Group III, with V. gustaviana as the indicator species, represented a low-disturbance sandy environment.


Key words: macrobenthos, biodiversity, canonical correspondence analysis (CCA), environmental factor, community structure