Using relative risk to compare the effects of aquatic stressors at a regional scale.
The regional-scale importance of an aquatic stressor depends both on its regional extent (i.e., how widespread it is) and on the severity of its effects in ecosystems where it is found. Sample surveys, such as those developed by the U.S. Environmental Protection Agency's Environmental Monitoring and Assessment Program (EMAP), are designed to estimate and compare the extents, throughout a large region, of elevated conditions for various aquatic stressors. In this article, we propose relative risk as a complementary measure of the severity of each stressor's effect on a response variable that characterizes aquatic ecological condition. Specifically, relative risk measures the strength of association between stressor and response variables that can be classified as either "good" (i.e., reference) or "poor" (i.e., different from reference). We present formulae for estimating relative risk and its confidence interval, adapted for the unequal sample inclusion probabilities employed in EMAP surveys. For a recent EMAP survey of streams in five Mid-Atlantic states, we estimated the relative extents of eight stressors as well as their relative risks to aquatic macroinvertebrate assemblages, with assemblage condition measured by an index of biotic integrity (IBI). For example, a measure of excess sedimentation had a relative risk of 1.60 for macroinvertebrate IBI, with the meaning that poor IBI conditions were 1.6 times more likely to be found in streams having poor conditions of sedimentation than in streams having good sedimentation conditions. We show how stressor extent and relative risk estimates, viewed together, offer a compact and comprehensive assessment of the relative importances of multiple stressors.
Van Sickle
John
J
National Health and Environmental Effects Research Laboratory, Western Ecology Division, U.S. Environmental Protection Agency, 200 SW 35th Street, Corvallis, Oregon 97333, USA. VanSickle.John@epa.gov
Stoddard
John L
JL
Paulsen
Steven G
SG
Olsen
Anthony R
AR
D000818:Animals; D003247:Conservation of Natural Resources / Q000379:methods*; D003625:Data Collection / Q000379:methods; D017753:Ecosystem; D019015:Geologic Sediments / Q000032:analysis; D007448:Invertebrates / Q000502:physiology*; D008873:Mid-Atlantic Region; D008962:Models, Theoretical; D012306:Risk; D045483:Rivers / Q000737:chemistry*; D014876:Water Pollution / Q000517:prevention & control*