About: Assessment of hazard metrics for predicting field benthic invertebrate toxicity in the Detroit River, Ontario, Canada

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About: Assessment of hazard metrics for predicting field benthic invertebrate toxicity in the Detroit River, Ontario, Canada Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Assessment of hazard metrics for predicting field benthic invertebrate toxicity in the Detroit River, Ontario, Canada
Creator	Briggs, Ted Ciborowski, Jan Douglas Haffner, # Drouillard, Ken Grgicak-Mannion, Alice Mcphedran, Kerry Paterson, Gord
source	PMC
abstract	Numerical sediment quality guidelines (SQGs) are frequently used to interpret site‐specific sediment chemistry and predict potential toxicity to benthic communities. These SQGs are useful for a screening line of evidence (LOE) that can be combined with other LOEs in a full weight of evidence (WOE) assessment of impacted sites. Three common multichemical hazard quotient methods (probable effect concentration [PEC]‐Q(avg), PEC‐Q(met), and PEC‐Q(sum)) and a novel (hazard score [HZD]) approach were used in conjunction with a consensus‐based set of SQGs to evaluate the ability of different scoring metrics to predict the biological effects of sediment contamination under field conditions. Multivariate analyses were first used to categorize river sediments into distinct habitats based on a set of physicochemical parameters to include gravel, low and high flow sand, and silt. For high flow sand and gravel, no significant dose–response relationships between numerically dominant species and various toxicity metric scores were observed. Significant dose–response relationships were observed for chironomid abundances and toxicity scores in low flow sand and silt habitats. For silt habitats, the HZD scoring metric provided the best predictor of chironomid abundances compared to various PEC‐Q methods according to goodness‐of‐fit tests. For low flow sand habitats, PEC‐Q(sum) followed by HZD, provided the best predictors of chironomid abundance. Differences in apparent chironomid toxicity between the 2 habitats suggest habitat‐specific differences in chemical bioavailability and indicator taxa sensitivity. Using an IBI method, the HZD, PEC‐Q(avg), and PEC‐Q(met) approaches provided reasonable correlations with calculated IBI values in both silt and low flow sand habitats but not for gravel or high flow sands. Computation differences between the various multi‐chemical toxicity scoring metrics and how this contributes to bias in different estimates of chemical mixture toxicity scores are discussed and compared. Integr Environ Assess Manag 2017;13:410–422. © 2016 SETAC
has issue date	2016-06-21(xsd:dateTime)
bibo:doi	10.1002/ieam.1785
bibo:pmid	27070334
has license	no-cc
sha1sum (hex)	6e2dda32d94b87b2593c19ffdb20679b465d4d2a
schema:url	https://doi.org/10.1002/ieam.1785
resource representing a document's title	Assessment of hazard metrics for predicting field benthic invertebrate toxicity in the Detroit River, Ontario, Canada
has PubMed Central identifier	PMC7165888
has PubMed identifier	27070334
schema:publication	Integr Environ Assess Manag
resource representing a document's body	covid:6e2dda32d94b87b2593c19ffdb20679b465d4d2a#body_text
is schema:about of	named entity 'chemical' named entity 'HZD' named entity 'toxicity' named entity 'full' named entity 'sum' named entity 'silt' named entity 'set' named entity 'evidence' named entity 'sites' named entity 'predict' named entity 'dose-response' named entity 'conditions' named entity 'silt' named entity 'NUMERICAL' named entity 'INDICATOR' named entity 'DOSE' named entity 'ESTIMATES' named entity 'AVG' covid:arg/6e2dda32d94b87b2593c19ffdb20679b465d4d2a named entity 'site-specific' named entity 'sand' named entity 'LOE' named entity 'met' named entity 'habitats' named entity 'compared' named entity 'flow' named entity 'gravel' named entity 'predict' named entity 'contamination' named entity 'chironomid' named entity 'toxicity' named entity 'based' named entity 'high' named entity 'dose-response' named entity 'silt' named entity 'score' named entity 'HZD' named entity 'dose-response relationships' named entity 'sand' named entity 'silt' named entity 'gravel' named entity 'silt' named entity 'toxicity' named entity 'SETAC' named entity 'river sediments' named entity 'toxicity' named entity 'goodness-of-fit' named entity 'bioavailability' named entity 'taxa' named entity 'benthic' named entity 'toxicity' named entity 'hazard quotient' named entity 'toxicity' named entity 'United States' named entity 'toxicity' named entity 'Silt' named entity 'benthic community' named entity 'species composition' named entity 'Amphipoda' named entity 'Oligochaeta' named entity 'Chironomidae' named entity 'indicator species' named entity 'toxicity' named entity 'data set' named entity 'sediment' named entity 'sediment' named entity 'Detroit River' named entity 'invertebrate' named entity 'sediment' named entity 'indicator species' named entity 'benthic' named entity 'hazard quotient' named entity 'habitat' named entity 'Sarah Wood' named entity 'latitude'

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