Linked Life Data

20206965

Source:http://linkedlifedata.com/resource/pubmed/id/20206965

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2010-3-29
pubmed:abstractText
Ecological risk assessment was conducted to determine the risk posed by pesticide mixtures to the Adour-Garonne river basin (south-western France). The objectives of this study were to assess the general state of this basin with regard to pesticide contamination using a risk assessment procedure and to detect patterns in toxic mixture assemblages through a self-organizing map (SOM) methodology in order to identify the locations at risk. Exposure assessment, risk assessment with species sensitivity distribution, and mixture toxicity rules were used to compute six relative risk predictors for different toxic modes of action: the multi-substance potentially affected fraction of species depending on the toxic mode of action of compounds found in the mixture (msPAF CA(TMoA) values). Those predictors computed for the 131 sampling sites assessed in this study were then patterned through the SOM learning process. Four clusters of sampling sites exhibiting similar toxic assemblages were identified. In the first cluster, which comprised 83% of the sampling sites, the risk caused by pesticide mixture toward aquatic species was weak (mean msPAF value for those sites<0.0036%), while in another cluster the risk was significant (mean msPAF<1.09%). GIS mapping allowed an interesting spatial pattern of the distribution of sampling sites for each cluster to be highlighted with a significant and highly localized risk in the French department called "Lot et Garonne". The combined use of the SOM methodology, mixture toxicity modelling and a clear geo-referenced representation of results not only revealed the general state of the Adour-Garonne basin with regard to contamination by pesticides but also enabled to analyze the spatial pattern of toxic mixture assemblage in order to prioritize the locations at risk and to detect the group of compounds causing the greatest risk at the basin scale.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1879-1026
pubmed:author
pubmed:copyrightInfo
Copyright 2010 Elsevier B.V. All rights reserved.
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
408
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2319-26
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Patterning ecological risk of pesticide contamination at the river basin scale.
pubmed:affiliation
Universitat de Girona, Institut d'Ecologia Aquàtica, E-17071 Girona, Spain. leslie.faggiano@udg.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't