Document Detail


Different levels of macroalgal sampling resolution for pollution assessment.
MedLine Citation:
PMID:  20637478     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The effects of using reduced sampling resolutions to study macroalgal vegetation patterns have not been studied sufficiently. Here, we test the influence of taxonomic resolution level, removal of occasional species, aggregation of species abundances into functional groups and data transformation in the detection of a long-term recovery process by phytobenthic intertidal assemblages. Results indicate that the aggregation of species data into the genus level has very little influence. Likewise, almost any significant information is lost when occasional algae are removed. Analyses at the level of families and orders still clearly detect differences between highly degraded and reference vegetation. By contrast, analyses based on class and functional group abundances capture quite different information. The effect of transformation is similar at the different taxonomic levels. Most surrogate measures properly reflect changes in diversity. It is concluded that genus level is the most appropriate surrogate approach for detecting the recovery process.
Authors:
Isabel Díez; Alberto Santolaria; José María Gorostiaga
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-07-15
Journal Detail:
Title:  Marine pollution bulletin     Volume:  60     ISSN:  1879-3363     ISO Abbreviation:  Mar. Pollut. Bull.     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-09-29     Completed Date:  2011-01-25     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0260231     Medline TA:  Mar Pollut Bull     Country:  England    
Other Details:
Languages:  eng     Pagination:  1779-89     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Ltd. All rights reserved.
Affiliation:
Departamento de Biología Vegetal y Ecología, Facultad de Ciencia y Tecnología, Universidad del País Vasco, Apdo. 644, Bilbao 48080, Spain. isabel.diez@ehu.es
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MeSH Terms
Descriptor/Qualifier:
Environmental Monitoring*
Seawater
Seaweed / classification,  drug effects*,  physiology
Time Factors
Water Pollutants, Chemical / chemistry*,  metabolism*
Water Pollution, Chemical*
Chemical
Reg. No./Substance:
0/Water Pollutants, Chemical

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