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›› 2019, Vol. 41 ›› Issue (4): 293-301.

• 论文与报告 • 上一篇    下一篇

厦门湾大型底栖动物多样性指数空间分布及其与环境因子的关系

黄昆1,陈岚1,傅婷婷1,黄智伟2,陈凯1   

  1. 1. 福建海洋研究所
    2.
  • 收稿日期:2019-01-18 修回日期:2019-01-28 出版日期:2019-08-25 发布日期:2019-08-27
  • 通讯作者: 黄昆
  • 基金资助:
    福建省科技厅省属公益类科研院所基本科研专项项目

Spatial distribution of macrobenthic diversity factors in Xiamen Bay and its relationship with environmental factors

  • Received:2019-01-18 Revised:2019-01-28 Online:2019-08-25 Published:2019-08-27
  • Contact: Huang Kun

摘要: 为研究厦门湾大型底栖动物生物多样性指数的空间分布状态,及其与环境因子的相关性,于2012年8月对厦门湾海域大型底栖生物进行调查采样,对各站位种类数、多样性指数H’、 AZTI海洋生物指数AMBI和多变量AZTI海洋生物指数M-AMBI进行计算分析,并利用SPSS软件计算各指数与环境因子间的相关关系。结果表明:调查海区大型底栖动物共出现8门103种,各站位种类数平均值为11种,多样性指数H’平均值为2.328,AMBI平均值为1.739,M-AMBI平均值为0.538。各站位种类数与有机碳、盐度、pH、溶解氧、化学需氧量之间有显著或极显著相关关系,各站位AMBI与硫化物、盐度、石油类之间有显著或极显著相关关系。各站位多样性指数H’和M-AMB值与硫化物、石油类、有机碳、盐度、pH、溶解氧、化学需氧量间均存在显著或极显著相关关系。

关键词: 厦门湾海域, 大型底栖动物, 生物多样性, 相关性分析, Xiamen Bay, macrobenthos, biodiversity, correlation analysis

Abstract: In order to study the spatial distribution of biodiversity factors of macrobenthos in Xiamen Bay and the correlation with environmental factors, the investigation and sampling of macrobenthos in Xiamen Bay were conducted in August 2012. The species number, diversity index H ', AZTI Marine biological index AMBI and multi-variable AZTI Marine biological index M-AMBI were calculated and analyzed, and the correlation between each index and environmental factors was calculated using SPSS software. The results showed that there were 103 species in 8 phyla in the survey ares, with the average species number at each station is 11, the average diversity index H ' is 2.328, the average AMBI is 1.739, and the average M-AMBI is 0.538. There was a significant or extremely significant correlation between the number of species at each station and TOC, salinity, pH, DO and COD, and a significant or extremely significant correlation between AMBI and sulfide, salinity and petroleum hydrocarbons. The diversity index H 'and M-AMBI of each station were significantly or extremely significantly correlated with sulfides, petroleum hydrocarbons, organic carbon, salinity, pH, dissolved oxygen and chemical oxygen demand.

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