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王航俊,姚炜民,林义,邹清,刘亚林.乐清湾大型底栖动物群落及其与环境因子之间的关系[J].海洋学报,2020,42(2):75-86
乐清湾大型底栖动物群落及其与环境因子之间的关系
Macrobenthic community and its relationship with environmental factors in the Yueqing Bay, Zhejiang Province, China
投稿时间:2019-03-09  修订日期:2019-04-29
DOI:10.3969/j.issn.0253-4193.2020.02.008
中文关键词:  乐清湾  大型底栖动物群落  环境因子  丰度/生物量曲线  典范对应分析(CCA)
英文关键词:Yueqing Bay  macrobenthic community  environmental factors  abundance/biomass curve  canonical correspondence analysis(CCA)
基金项目:浙江省海洋环保与生态项目(浙海渔计[2012]100号)。
作者单位E-mail
王航俊 国家海洋局温州海洋环境监测中心站, 浙江 温州 325000  
姚炜民 国家海洋局温州海洋环境监测中心站, 浙江 温州 325000 ywm@ecs.mnr.gov.cn 
林义 国家海洋局温州海洋环境监测中心站, 浙江 温州 325000  
邹清 国家海洋局温州海洋环境监测中心站, 浙江 温州 325000  
刘亚林 国家海洋局温州海洋环境监测中心站, 浙江 温州 325000  
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中文摘要:
      为了解和掌握乐清湾大型底栖动物群落及其与环境因子的相关性,于2015年1月、3月、5月、8月和10月开展了5个航次的大型底栖动物和环境因子的调查。结果表明,1月、3月和5月3个月份的群落结构和空间分布均较为接近,优势群落的主要特征种为薄云母蛤和不倒翁虫;8月和10月的优势群落不明显,主要群落特征种有不倒翁虫、双形拟单指虫、寡鳃齿吻沙蚕、小头虫、中蚓虫属一种等。丰度/生物量曲线(ABC曲线)分析表明5月的群落结构较稳定,1月、3月、8月和10月均处于不同程度的扰动状态,其中8月的受扰动程度最大。BVSTEP分析表明亚硝酸盐是乐清湾大型底栖动物群落各月份差异的主要环境驱动因子,盐度和氨氮分别是影响乐清湾3月和5月大型底栖动物群落结构的主要环境因子。典范对应分析(CCA)表明水温对乐清湾大型底栖群落特征种时空分布影响最大,其次是盐度、溶解氧、含氮营养盐和pH等。通过CCA排序图发现大部分群落特征种分布在含氮营养盐较低的水域,表明高浓度的含氮营养盐已经对乐清湾的大型底栖动物产生了负面影响。
英文摘要:
      To evaluate the relationship between macrobenthic communities and environmental factors in the Yueqing Bay, five surveys were conducted in this study in January, March, May, August and October 2015. We found that both community structure and spatial distribution were similar in January, March and May, with Yoldia similis and Sternaspis sculata as the characteristic species. The dominant communities were not obvious in neither August nor October, the characteristic species of the main community were S. sculata, Nephtys oligobranchia, Capitella capitata, and Mediomastus sp. With the aid of abundance/biomass curve (ABC curve) analysis, we found that the communities were the most stable in May, and the most vulnerable in August. Results of BVSTEP analysis showed that nitrite was the dominant environmental factor for monthly difference of macrobenthic communities in the Yueqing Bay. In addition, salinity and ammonia nitrogen were the key environmental factors affecting the macrobenthic community structure in March and May, respectively. Canonical correspondence analysis (CCA) further showed that water temperature had the greatest influence on the spatial and temporal distribution of characteristic species of macrobenthic communities in the Yueqing Bay, followed by salinity, dissolved oxygen, nitrogen nutrients and pH, etc. The CCA biplot also showed that the majority of the community species were distributed in the waters with low nitrogen nutrients, indicating that high concentrations of nitrogen nutrients had a negative impact on the distribution of macrobenthos in the Yueqing Bay.
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