Protocol for the Derivation of Environmental and Human ... - CCME
Protocol for the Derivation of Environmental and Human ... - CCME
Protocol for the Derivation of Environmental and Human ... - CCME
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Part A, Section 3<br />
Section 3<br />
Use <strong>of</strong> Canadian Soil Quality Guidelines<br />
The soil quality guidelines derived using <strong>the</strong> protocol will replace <strong>the</strong> Interim <strong>Environmental</strong> Quality<br />
Criteria <strong>for</strong> Contaminated Sites (<strong>CCME</strong>, 1991a) <strong>and</strong> will be used as described in Section 1.3.2.2. Soil<br />
quality guidelines represent "clean down to levels" at contaminated sites <strong>and</strong> not "pollute up to levels" <strong>for</strong><br />
less contaminated sites. They are not intended to be used to manage pristine sites.<br />
The development <strong>of</strong> ecological effects-based soil quality guidelines is, in a sense, a scaled down risk<br />
assessment <strong>for</strong> generic conditions <strong>and</strong> <strong>the</strong>re<strong>for</strong>e <strong>the</strong> following uncertainties apply.<br />
Primary Error in Model Input Parameters<br />
Model error created from <strong>the</strong> inappropriate aggregation <strong>of</strong> variables (i.e., multiple species toxicity data<br />
<strong>and</strong> endpoints) used to determine acceptable threshold effect concentrations (TECs), <strong>and</strong> <strong>the</strong> error<br />
associated with <strong>the</strong> input variables (individual toxicity data) <strong>the</strong>mselves must be considered in guidelines<br />
derivation.<br />
An examination <strong>of</strong> <strong>the</strong> toxicological data reported <strong>for</strong> soil-dwelling organisms <strong>and</strong> terrestrial animals<br />
revealed that common reference toxicity values (i.e., LOEC, NOEC, LC 50 , EC 50 ) were available <strong>for</strong><br />
guidelines derivation. While it is possible to quantify <strong>the</strong> error associated with predictions <strong>of</strong> LC 50 <strong>and</strong><br />
EC 50 data using <strong>the</strong> confidence intervals reported, it is difficult to estimate <strong>the</strong> uncertainty associated<br />
with improper use <strong>of</strong> a statistical model (e.g., probit or logit) applied to <strong>the</strong> test data (e.g., when data<br />
display hormesis).<br />
Perhaps <strong>the</strong> most significant source <strong>of</strong> uncertainty in soil toxicity data available <strong>for</strong> guidelines derivation<br />
is attributed to LOEC <strong>and</strong> NOEC data. No observable effects concentration <strong>and</strong> LOEC data are<br />
hypo<strong>the</strong>sis driven <strong>and</strong> are thus subject to Type I <strong>and</strong> Type II error as well as variation <strong>of</strong> <strong>the</strong> test design<br />
itself. Again, <strong>the</strong>se data have been generated from <strong>the</strong> improper use <strong>of</strong> statistical models (usually by<br />
ANOVA, paired means comparisons, etc.) A sizable proportion <strong>of</strong> <strong>the</strong> soil toxicity data available <strong>for</strong><br />
guidelines derivation are LOEC <strong>and</strong> NOEC, <strong>and</strong> because <strong>the</strong>se data are still considered useful, a<br />
discussion on <strong>the</strong> reasons <strong>for</strong> <strong>the</strong>ir uncertainty is warranted.<br />
Traditionally, LOEC <strong>and</strong> NOEC data were estimated without considering <strong>the</strong> dose-response curve<br />
(i.e., <strong>for</strong> LOECs, by using <strong>the</strong> lowest test concentration that is significantly different from <strong>the</strong> controls; or<br />
<strong>for</strong> NOECs, <strong>the</strong> highest test concentration not significantly different from controls). Some researchers<br />
view this as problematic (Bruce <strong>and</strong> Versteeg, 1992) <strong>and</strong> suggest that LOEC or NOEC concentrations<br />
suffer from <strong>the</strong> fact that:<br />
• <strong>the</strong>y must be one <strong>of</strong> <strong>the</strong> test concentrations used in <strong>the</strong> study <strong>and</strong> are <strong>the</strong>re<strong>for</strong>e dependent on <strong>the</strong><br />
range <strong>of</strong> concentrations used,<br />
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