生态科学2024，Vol.43Issue(2)：163-170,8.DOI:10.14108/j.cnki.1008-8873.2024.02.018
山东半岛北部近岸海域浮游动物群落结构及季节变化
Community structure of zooplankton and its seasonal variation in the coastal waters along the northern Shandong Peninsula
摘要
Abstract
The coastal waters along the northern Shandong Peninsula waters is rich in fishery resources,which is the passing fishing ground for economic organisms to enter the Bohai Sea to spawn and leave for winter.In recent years,overfishing and pollution have caused considerable damage to fishery resources there,and zooplankton has been adversely affected.Based on sampling data in this area from 2016 to 2017,the spatial and temporal distribution,structure community,dominant species and diversity indices of zooplankton community were analyzed.39 species of zooplankton and 13 classes zooplankton larvae were record during the four surveys,which belonged to 11 phyla and most species were found in autumn.The dominant species had obvious seasonal change,Calanus sinicus,Labidocera bipinnata and Sagitta crassa were the main dominant species record,among them,Calanus sinicus was the dominant species in four surveys.Influenced by the Bolai coastal current,Yellow Sea warm current and Yellow Sea cold water mass,the seasonal variation of zooplankton abundance was obvious,with the highest abundance(147.1 ind·m-3)in spring and the lowest abundance(37.3 ind·m-3)in winter.The horizontal distribution of zooplankton abundance was uneven,with higher abundance in the western ocean near Zhifu Island in spring and autumn,while the concentration center located in the eastern ocean near Weihai in summer and winter.关键词
浮游动物/种类组成/群落结构/季节变化/山东半岛北部海域Key words
zooplankton/species composition/structure community/seasonal variation/the coastal waters along the northern Shandong Peninsula分类
生物科学引用本文复制引用
王秀霞,李凡,霍骏,杨艳艳,刘晓波,张孝民,李少文,徐炳庆,王田田,朱明明..山东半岛北部近岸海域浮游动物群落结构及季节变化[J].生态科学,2024,43(2):163-170,8.基金项目
烟台市科技创新发展计划(2023JCYJ101) （2023JCYJ101）
山东省自然科学基金重点项目(ZR2020KE050) （ZR2020KE050）
山东省自然科学基金面上项目(ZR2023MD039) （ZR2023MD039）
烟台市科技创新发展计划(2023YD081) （2023YD081）
