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Article: Deriving sediment quality guidelines from field-based species sensitivity distributions
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TitleDeriving sediment quality guidelines from field-based species sensitivity distributions
 
AuthorsLeung, KMY2
Bjørgesæter, A4
Gray, JS4
Li, WK2
Lui, GCS2
Wang, Y1
Lam, PKS3
 
Issue Date2005
 
PublisherAmerican Chemical Society. The Journal's web site is located at http://pubs.acs.org/est
 
CitationEnvironmental Science And Technology, 2005, v. 39 n. 14, p. 5148-5156 [How to Cite?]
DOI: http://dx.doi.org/10.1021/es050450x
 
AbstractThe determination of predicted no-effect concentrations (PNECs) and sediment quality guidelines (SQGs) of toxic chemicals in marine sediment is extremely important in ecological risk assessment. However, current methods of deriving sediment PNECs or threshold effect levels (TELs) are primarily based on laboratory ecotoxicity bioassays that may not be ecologically and environmentally relevant. This study explores the possibility of utilizing field data of benthic communities and contaminant loadings concurrently measured in sediment samples collected from the Norwegian continental shelf to derive SQGs. This unique dataset contains abundance data for ca. 2200 benthic species measured at over 4200 sampling stations, along with cooccurring concentration data for >25 chemical species. Using barium, cadmium, and total polycyclic aromatic hydrocarbons (PAHs) as examples, this paper describes a novel approach that makes use of the above data set for constructing field-based species sensitivity distributions (f-SSDs). Field-based SQGs are then derived based on the f-SSDs and HCx values [hazardous concentration for x% of species or the (100 - x)% protection level] by the nonparametric bootstrap method. Our results for Cd and total PAHs indicate that there are some discrepancies between the SQGs currently in use in various countries and our field-data-derived SQGs. The field-data-derived criteria appear to be more environmentally relevant and realistic. Here, we suggest that the f-SSDs can be directly used as benchmarks for probabilistic risk assessment, while the field-data-derived SQGs can be used as site-specific guidelines or integrated into current SQGs. © 2005 American Chemical Society.
 
ISSN0013-936X
2013 Impact Factor: 5.481
 
DOIhttp://dx.doi.org/10.1021/es050450x
 
ISI Accession Number IDWOS:000230536200010
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorLeung, KMY
 
dc.contributor.authorBjørgesæter, A
 
dc.contributor.authorGray, JS
 
dc.contributor.authorLi, WK
 
dc.contributor.authorLui, GCS
 
dc.contributor.authorWang, Y
 
dc.contributor.authorLam, PKS
 
dc.date.accessioned2010-09-06T06:48:47Z
 
dc.date.available2010-09-06T06:48:47Z
 
dc.date.issued2005
 
dc.description.abstractThe determination of predicted no-effect concentrations (PNECs) and sediment quality guidelines (SQGs) of toxic chemicals in marine sediment is extremely important in ecological risk assessment. However, current methods of deriving sediment PNECs or threshold effect levels (TELs) are primarily based on laboratory ecotoxicity bioassays that may not be ecologically and environmentally relevant. This study explores the possibility of utilizing field data of benthic communities and contaminant loadings concurrently measured in sediment samples collected from the Norwegian continental shelf to derive SQGs. This unique dataset contains abundance data for ca. 2200 benthic species measured at over 4200 sampling stations, along with cooccurring concentration data for >25 chemical species. Using barium, cadmium, and total polycyclic aromatic hydrocarbons (PAHs) as examples, this paper describes a novel approach that makes use of the above data set for constructing field-based species sensitivity distributions (f-SSDs). Field-based SQGs are then derived based on the f-SSDs and HCx values [hazardous concentration for x% of species or the (100 - x)% protection level] by the nonparametric bootstrap method. Our results for Cd and total PAHs indicate that there are some discrepancies between the SQGs currently in use in various countries and our field-data-derived SQGs. The field-data-derived criteria appear to be more environmentally relevant and realistic. Here, we suggest that the f-SSDs can be directly used as benchmarks for probabilistic risk assessment, while the field-data-derived SQGs can be used as site-specific guidelines or integrated into current SQGs. © 2005 American Chemical Society.
 
dc.description.naturelink_to_subscribed_fulltext
 
dc.identifier.citationEnvironmental Science And Technology, 2005, v. 39 n. 14, p. 5148-5156 [How to Cite?]
DOI: http://dx.doi.org/10.1021/es050450x
 
dc.identifier.doihttp://dx.doi.org/10.1021/es050450x
 
dc.identifier.epage5156
 
dc.identifier.hkuros99026
 
dc.identifier.isiWOS:000230536200010
 
dc.identifier.issn0013-936X
2013 Impact Factor: 5.481
 
dc.identifier.issue14
 
dc.identifier.pmid16082942
 
dc.identifier.scopuseid_2-s2.0-22344440177
 
dc.identifier.spage5148
 
dc.identifier.urihttp://hdl.handle.net/10722/73166
 
dc.identifier.volume39
 
dc.languageeng
 
dc.publisherAmerican Chemical Society. The Journal's web site is located at http://pubs.acs.org/est
 
dc.publisher.placeUnited States
 
dc.relation.ispartofEnvironmental Science and Technology
 
dc.relation.referencesReferences in Scopus
 
dc.subject.meshBarium - toxicity
 
dc.subject.meshBenchmarking
 
dc.subject.meshCadmium - toxicity
 
dc.subject.meshGuidelines as Topic
 
dc.subject.meshPolycyclic Hydrocarbons, Aromatic - toxicity
 
dc.titleDeriving sediment quality guidelines from field-based species sensitivity distributions
 
dc.typeArticle
 
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<description.abstract>The determination of predicted no-effect concentrations (PNECs) and sediment quality guidelines (SQGs) of toxic chemicals in marine sediment is extremely important in ecological risk assessment. However, current methods of deriving sediment PNECs or threshold effect levels (TELs) are primarily based on laboratory ecotoxicity bioassays that may not be ecologically and environmentally relevant. This study explores the possibility of utilizing field data of benthic communities and contaminant loadings concurrently measured in sediment samples collected from the Norwegian continental shelf to derive SQGs. This unique dataset contains abundance data for ca. 2200 benthic species measured at over 4200 sampling stations, along with cooccurring concentration data for &gt;25 chemical species. Using barium, cadmium, and total polycyclic aromatic hydrocarbons (PAHs) as examples, this paper describes a novel approach that makes use of the above data set for constructing field-based species sensitivity distributions (f-SSDs). Field-based SQGs are then derived based on the f-SSDs and HCx values [hazardous concentration for x% of species or the (100 - x)% protection level] by the nonparametric bootstrap method. Our results for Cd and total PAHs indicate that there are some discrepancies between the SQGs currently in use in various countries and our field-data-derived SQGs. The field-data-derived criteria appear to be more environmentally relevant and realistic. Here, we suggest that the f-SSDs can be directly used as benchmarks for probabilistic risk assessment, while the field-data-derived SQGs can be used as site-specific guidelines or integrated into current SQGs. &#169; 2005 American Chemical Society.</description.abstract>
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Author Affiliations
  1. Nanjing University
  2. The University of Hong Kong
  3. City University of Hong Kong
  4. Universitetet i Oslo