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An integrated approach to aquatic ecosystem health: top-down,
bottom-up or middle-out?
K. R. Munkittrick1
& L. S. McCarty2
1GLLFAS, Department
of Fisheries and Oceans, 867 Lakeshore Road, Burlington,
Ontario L7R 4A6, Canada(author for correspondence)
2 L.S. McCarty Scientific
Research and Consulting, 280 Glen Oak Drive,
Oakville, Ontario L6K 2J2, Canada
Received December 1994: accepted in
revised form May 1995
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Abstract
Due to the ecological complexity of many stressed ecosystems,
large field studies have the disadvantage of having to deal with
diverse sets of stressors involving both chemical impacts and habitat
changes. Toxicologically-oriented studies have traditionally been
mechanistically focused, attempting to develop an understanding
of the interactions between chemical availability and physiological
responses of aquatic organisms. This has led to the development
of epidemiological techniques, reductionist approaches, 'cause-effect'
studies and 'biomarkers'. On the other hand, ecological studies
have traditionally been descriptive in nature, attempting to develop
an understanding of the interaction of aquatic communities with
their habitat. This philosophy has encouraged holistic approaches
and integrative measurements. The two approaches have not evolved
from a common philosophical basis and, despite the attempted marriage
of these philosophies into the discipline of ecotoxicology, studies
are often forced into a compromise between the two approaches. This
paper summarizes some of the differences between the two approaches,
and describes a conceptual framework. This framework may aid managers
in developing an improved understanding of field surveys, allowing
for improved study designs and more appropriate interpretation of
data. Examples from recent studies will be used to show how the
development of a tiered approach to impact assessment and management
may aid in the evolution of the field studies to address the complex
issues facing the management of natural ecosystems, such as the
Great Lakes.
Keywords: ecology, populations, effects, models, dose-response
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