DOI: 10.1016/j.marpolbul.2017.11.059
Scopus记录号: 2-s2.0-85036477011
论文题名: Unraveling the performance of the benthic index AMBI in a subtropical bay: The effects of data transformations and exclusion of low-reliability sites
作者: Checon H.H. ; Corte G.N. ; Muniz P. ; Brauko K.M. ; Di Domenico M. ; Bícego M.C. ; Siegle E. ; Figueira R.C.L. ; Amaral A.C.Z.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2018
卷: 126 起始页码: 438
结束页码: 448
语种: 英语
英文关键词: Araçá Bay
; Coastal management
; Hydrocarbons
; Macrofauna
Scopus关键词: Coastal engineering
; Contamination
; Ecology
; Hydrocarbons
; Reliability
; Coastal management
; Data transformation
; Ecological groups
; Ecological quality
; Good ecological status
; Macrofauna
; Sensitive species
; Species classification
; Metadata
; bay
; coastal zone management
; detection method
; fauna
; hydrocarbon
; marine pollution
; pollution effect
; reliability analysis
; Article
; AZTI Marine Benthic Index
; bay
; benthos
; Brazil
; contamination
; ecology
; ecosystem
; environmental impact assessment
; environmental management
; environmental monitoring
; hydrodynamics
; reliability
; sea pollution
; Brazil
; Ara
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: We investigated the relationship between the AMBI index and different contamination proxies in an urbanized bay in South America (SE Brazil), and the effect of (a) abundance data transformation and (b) exclusion of low-reliability sites (high SD; low N) on the index’ performance. Poor ecological quality and opportunistic species were related to an increase in contaminants concentrations and mud content. Good ecological status and sensitive species (EG I) were mainly related to increased hydrodynamics. Data transformation caused minimal changes to the overall relationships, but exclusion of low-reliability sites improved the relationship between ecological groups and contamination proxies. Our results show that AMBI is robust in detecting effects of different contaminants in the area and reinforce the importance of the index as a tool for coastal management, but local joint efforts are needed to improve and adjust local species classification in ecological groups to improve the index’ performance. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/88634
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: Departamento de Biologia Animal, Instituto de Biologia, Universidade Estadual de Campinas, Monteiro Lobato St., 255, Campinas, São Paulo, Brazil; Instituto de Ecología y Ciências Ambientales, Universidad de La República, Iguá 4225, Montevideo, Uruguay; Departamento de Geociências, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil; Centro de Estudos do Mar, Universidade Federal do Paraná, Pontal do Paraná, Paraná, Brazil; Instituto Oceanográfico, Universidade de São Paulo, São Paulo, Brazil
Recommended Citation:
Checon H.H.,Corte G.N.,Muniz P.,et al. Unraveling the performance of the benthic index AMBI in a subtropical bay: The effects of data transformations and exclusion of low-reliability sites[J]. Marine Pollution Bulletin,2018-01-01,126