| LUO Xianxiang,SUN Kaijing,YANG Jianqiang,SONG Wenpeng,CUI Wenlin. 2016. A comparison of the applicability of the Shannon-Wiener index, AMBI and M-AMBI indices for assessing benthic habitat health in the Huanghe (Yellow River) Estuary and adjacent areas. Acta Oceanologica Sinica, 35(6):50－58 |
| A comparison of the applicability of the Shannon-Wiener index, AMBI and M-AMBI indices for assessing benthic habitat health in the Huanghe (Yellow River) Estuary and adjacent areas |
| H'、AMBI和M-AMBI指数在黄河口及邻近海域底栖生境健康评价中的适宜性研究 |
| Received:January 18, 2015 Revised:August 07, 2015 |
| DOI：10.1007/s13131-016-0842-9 |
| Key words:macrobenthos ecological quality status Huanghe Estuary Shannon-Wiener index AMBI M-AMBI |
| 中文关键词: 大型底栖生物 生态质量状况 黄河口 Shannon-Wiener指数 AMBI M-AMBI |
| 基金项目: |
| Author Name | Affiliation | E-mail | | LUO Xianxiang | Key Laboratory of Marine Environment and Ecology, Ocean University of China, Qingdao 266100, China | lxx81875@ouc.edu.cn | | SUN Kaijing | Key Laboratory of Marine Environment and Ecology, Ocean University of China, Qingdao 266100, China | | | YANG Jianqiang | North China Sea Branch of State Oceanic Administration, Qingdao 266033, China
Laboratory of State Oceanic Administration for Marine Spill Oil Identification and Damage Assessment Technology, Qingdao 266033, China | | | SONG Wenpeng | Laboratory of State Oceanic Administration for Marine Spill Oil Identification and Damage Assessment Technology, Qingdao 266033, China
North China Sea Monitoring Center, North China Sea Branch of State Oceanic Administration, Qingdao 266033, China | | | CUI Wenlin | Laboratory of State Oceanic Administration for Marine Spill Oil Identification and Damage Assessment Technology, Qingdao 266033, China
North China Sea Monitoring Center, North China Sea Branch of State Oceanic Administration, Qingdao 266033, China | |
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| Abstract: |
| From a dataset of macrobenthos obtained from 18 cruises from 2004 to 2013 in the Huanghe (Yellow River) Estuary and its adjacent areas, the composition and characteristics of macrobenthos were analyzed, and the applicability of the Shannon-Wiener Index (H'), AZTI's Marine Biotic Index (AMBI) and multivariate AMBI (M-AMBI) for assessing benthic habitat quality was compared. The results showed a total of 203 macrobenthos in the study area. The macrobenthos were dominated by polychaetes, followed by mollusks and crustaceans. The macrobenthic ecological groups were dominated by EGI, EGII and EGIII, which respectively accounted for 31.5%, 36.0% and 21.2% of the total. There were significant differences between the evaluation results of the three indices. The ecological quality status (EQS) levels given by the AMBI were greater than those given by the H'and M-AMBI. The AMBI could not reflect the differences between 11 sites but the H'and M-AMBI could do. Moreover, the three indices responded well to the variations in salinity (S) and dissolved oxygen (DO) in the waters. The H' and M-AMBI also responded sensitively to the differences in physical parameters, such as water depth and sediment texture. The correlation between M-AMBI and environmental pressure gradient data was the strongest. The M-AMBI could effectively distinguish degraded conditions from undegraded but the H' and AMBI could not. Therefore, the M-AMBI reflected benthic habitat health well in the study areas. However, the objectivity of evaluation results of M-AMBI needs further verification by physical, chemical and biological methods. The thresholds also need further discussion. |
| 中文摘要: |
| 本文应用黄河口及邻近海域2004年到2013年的18个航次的大型底栖动物数据,分析了该海域大型底栖生物组成及特征,并对Shannon-Wiener Index (H')、AZTI's Marine Biotic Index(AMBI)和multivariate AMBI(M-AMBI)在该海域底栖生境质量评价中的适用性进行了比较。结果表明,研究海域共出现203种大型底栖动物,以多毛类占明显优势,其次为软体类和甲壳类动物,底栖生物生态群落等级以EGI、EGII和EGIII所代表的物种为主,分别占到群落的31.5%、36.0%和21.2%。三种指数的评价结果存在较大差异。AMBI评价的底栖生境质量等级大大优于H'和M-AMBI指数评价的等级。AMBI指数不能指示出不同站位间的差异,而H'和M-AMBI指数是可以的。三种指数均能很好地响应水体盐度和溶解氧的变化。同时,H'和M-AMBI指数也能敏感地响应水深、沉积物质地等物理特征的差异。M-AMBI指数值与各种环境压力梯度数据间的相关性是最强的。它能有效地区分受扰动和未受扰动的站位,而H'和AMBI则不能。因此,在研究海域M-AMBI指数能够很好地响应底栖生境质量的变化。但M-AMBI评价结果的客观性还需要通过更多的包括物理、化学及生物学方法的验证,其评价阈值需要继续讨论。 |
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