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Environ. Toxicol. Chem. 21, 2002
S.M. Cormier et al.
Also, different causes for different specific impairments at the
same site could not be characterized.
multiple lines of evidence and different types of information
using a flexible but formal process described by the Stressor
Identification Guidance Document [1]. The process that is used
here may be useful for determining the causes of impairments
not only to streams but for other resource types. Furthermore,
research designs may benefit from considering methods for
eliminating alternative hypothesis that depend on inductive
reasoning rather than experiments alone.
Further definition of the component metrics could have
been useful. Characterization of the specific DELT anomalies
is an obvious example. It would have also been useful to know
whether the increases in percentage tolerant macroinvertebra-
tes were due to increases in specific tolerant taxa or declines
in intolerant taxa.
Many readers probably realize that some of the causes re-
maining after the elimination process are very unlikely. How-
ever, to accurately reflect the logical process that we use and
because only mean data or few data are available, these causes
are retained. In so doing, the elimination step is stronger, and
the entire process possesses greater integrity. For instance,
nutrient enrichment is retained as a candidate cause for im-
pairment A even though the increase in total P and NOx is
minute. The reason it is retained is because it fails to meet
criteria for elimination, namely, a reduction or unchanging
concentration of the candidate causes. Some may argue that
the amount of change in the concentration of NOx and total P
would not be statistically different and therefore could be elim-
inated. However, unless a large sampling program is imple-
mented, the power to detect real differences would remain
small and unreliable. More important, the most compelling
reason for nutrient enrichment being an improbable cause
comes from ecological knowledge about the amounts of nu-
trients that would be needed for effects to occur. This knowl-
edge comes from other watersheds and is not grounds for
refutation at this site. The proper way to show this type of
evidence is by the strength-of-evidence procedure.
In this particular case study, the diagnostic analysis is not
effective for identifying any causes. However, in other studies,
it has been a decisive tool for determining the causes of fish
kills [10]. In fish kills, pathological evidence is usually par-
ticularly useful. For instance, surface lesions may be associated
with bacterial infections, whereas liver tumors may be asso-
ciated with PAH. For alterations to community structure, di-
agnostic evidence is less well documented and studied. This
is being rectified by a number of researchers who are trying
to improve the specificity and confidence in using patterns of
biological metrics as a diagnostic tool [11,12].
The causal characterization of the Little Scioto River could
be strengthened by additional evidence from the literature that
could be used to evaluate the plausibility of mechanisms and
stressor–response relationships, consistency of associations,
specificity of causes, and results of experiments. The use of
readily available literature in this case study makes it repre-
sentative of the use of the method by scientists in regulatory
agencies given current resources. However, it would be de-
sirable to assemble the voluminous but diffuse results of field
studies of impaired waters and combine them with information
from the open literature to make these types of evidence ac-
cessible for future characterizations.
To rigorously apply the method described by U.S. EPA [1]
and Suter et al. [2] requires discipline to guard against the
intuitive leaps that often characterize conclusions about cause.
Scientists with long experience in particular streams can quick-
ly identify causes on the basis of their knowledge of the system
and its history. However, a formal process can help document
the critical pieces of the evidence used to draw conclusions,
increase consistency among investigations, and increase con-
fidence that the true cause has been identified.
Acknowledgement—The authors thank everyone who participated in
the Stressor Identification Workgroup, especially Bill Swietlik and
cochair Donna Reed-Judkins; special thanks to Jeroen Gerritson, Edith
Lin, Bhagya Subramanian, and Brad Autrey, who obtained some of
the data used here and helped review the manuscript. The views ex-
pressed in this paper are those of the authors and do not necessarily
reflect the views and policies of the U.S. Environmental Protection
Agency. Mention of the trade names or commercial products does not
constitute endorsement or recommendation for use.
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This case study demonstrates the usefulness of combining