DOI: 10.1016/j.marpolbul.2014.07.068
Scopus记录号: 2-s2.0-84924022441
论文题名: A multivariate approach to the determination of an indicator species pool for community-based bioassessment of marine water quality
作者: Xu G. ; Zhong X. ; Wang Y. ; Warren A. ; Xu H.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2014
卷: 87, 期: 1 起始页码: 147
结束页码: 151
语种: 英语
英文关键词: Bioassessment
; Environmental stress
; Indicator species
; Microperiphyton
; Step-best-matching analysis
Scopus关键词: Lakes
; Water quality
; Best matching
; Bioassessment
; Environmental stress
; Indicator species
; Microperiphyton
; Forestry
; ammonium nitrogen
; dissolved oxygen
; nitrate nitrogen
; nitrite nitrogen
; nitrogen
; unclassified drug
; water pollutant
; bioindicator
; ciliate
; coastal water
; environmental assessment
; environmental stress
; multivariate analysis
; periphyton
; species diversity
; species evenness
; species richness
; water quality
; Article
; biological monitoring
; chemical oxygen demand
; China
; coastal waters
; community structure
; correlation analysis
; microperiphyton
; multivariate analysis
; nonhuman
; nutrient concentration
; periphyton
; pH
; population abundance
; salinity
; species composition
; species diversity
; species dominance
; species evenness
; species richness
; step best matching analysis
; water quality
; chemistry
; ciliate
; ecosystem
; environmental monitoring
; growth, development and aging
; procedures
; sea
; water pollutant
; Pacific Ocean
; Yellow Sea
; Ciliophora
; Ciliophora
; Ecosystem
; Environmental Monitoring
; Oceans and Seas
; Water Pollutants, Chemical
; Water Quality
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: Previous studies in Chinese coastal waters of the Yellow Sea have shown that periphytic ciliates are reliable indicators of marine water quality. However, traditional community-based bioassessments are time-consuming because they rely on the identification and enumeration of all species within the community. In order to improve bioassessment efficiency, step-best-matching analysis was used to identify which are the most reliable indicator species among periphytic marine ciliate communities. Based on indices of species richness, diversity and evenness, a subset of 48 species (out of a total of 141) was found to retain sufficient information for accurately predicting water quality, and was more strongly related to changes of environmental variables than the full species set. These results demonstrate that the step-best-matching analysis is a powerful approach for identifying an indicator species pool from a full species dataset of a community, and allows the development of time-efficient sampling protocols for community-based marine bioassessment. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/85285
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: College of Marine Life Science, Ocean University of China, Qingdao, China; College of Fisheries, Ocean University of China, Qingdao, China; Department of Life Sciences, Natural History Museum, London, United Kingdom
Recommended Citation:
Xu G.,Zhong X.,Wang Y.,et al. A multivariate approach to the determination of an indicator species pool for community-based bioassessment of marine water quality[J]. Marine Pollution Bulletin,2014-01-01,87(1)