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Step 4: Evaluate Data from Elsewhere

 This image is a drawing of a caddisfly larva in its case. Caddisflies are aquatic insects that are used by biologists to monitor the environmental quality of streams.


4.2.4. Mechanistically Plausible Cause

Concept
The relationship between the cause and biological effect must be consistent with known principles of biology, chemistry and physics, as well as properties of the affected organisms and the receiving environment.

Figure 4-4. Mechanistically Plausible Cause.
Figure 4-4. If the impairment is a fish kill with dermal lesions, the candidate cause copper toxicity is not mechanistically plausible, because copper does not cause dermal lesions.
(General explanation of symbols)

Examples
Consider increased bedded sediment as a candidate cause for reduced species richness of fish. What findings support or weaken the case for bedded sediments as a cause, based on evidence for a mechanistically plausible cause?

How do I analyze the data?
Evaluation of evidence for mechanistically plausible cause forces investigators to explicitly consider whether the proposed causal relationships make mechanistic sense. This process may be especially helpful when multiple stakeholders with widely varying scientific backgrounds are involved in identifying candidate causes, because they may suggest implausible causes.

For this type of evidence, analysis consists of identifying a mechanism by which the candidate cause could cause the specific biological effects, and supporting the mechanism with compelling logic or relevant literature citations. It is important to distinguish a lack of information concerning a mechanism (e.g., it is not known whether chemical X induces tumors) from evidence that a mechanism is implausible (e.g., it is known that chemical X does not induce tumors). In addition, the possible role of indirect mechanisms in generating the impairment should be kept in mind.

What evidence would support or weaken the case for a candidate cause?
Supports

Weakens

How do I score the evidence?

FindingInterpretationScore
The observed relationship between exposure and effects in the case agrees with the results of a simulation model. This finding somewhat supports the case for the candidate cause, but is not strongly supportive because models may be adjusted to simulate the effects. +
A plausible mechanism exists. This finding somewhat supports the case for the candidate cause, but is not strongly supportive because levels of the agent may not be sufficient to cause the observed effect. +
No mechanism is known. This finding neither supports nor weakens the case for the candidate cause. 0
The candidate cause is mechanistically implausible. This finding strongly weakens the case for the candidate cause, but is not convincing because the mechanism could be unknown. - -

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