Rk. Johnson, SPATIOTEMPORAL VARIABILITY OF TEMPERATE LAKE MACROINVERTEBRATE COMMUNITIES - DETECTION OF IMPACT, Ecological applications, 8(1), 1998, pp. 61-70
Field assessments of environmental impacts often are confounded by att
empts to isolate effects of interest (perturbation-induced impacts) fr
om noise introduced by natural spatial and temporal variability. Detec
tion of impact often is constrained by variability of the data, the nu
mber of independent samples, the magnitude of impact to be detected, a
nd statistical assumptions. Analysis of the spatial and temporal varia
bility of macroinvertebrate indicator metrics of 16 Swedish lakes, sit
uated in the boreo-nemoral ecoregion, revealed that standardized effec
t sizes (i.e., effect sizes expressed in standard deviation units) and
estimates of statistical power varied markedly among habitats and wit
h choice of indicator metric. In general, indicator metrics relying on
measures of the number of taxa (taxon richness, diversity, and ASPT,
average score per taxon), and pollution-specific metrics relying on ta
xon tolerance to pollution (acidification index) had higher standardiz
ed effect size and greater statistical power (primarily due to lower v
ariability) than did measures of macroinvertebrate density and biomass
. Indicator metrics for macroinvertebrate communities of sublittoral h
abitats often revealed greater standardized effect sizes and statistic
al power estimates than did metrics for profundal habitats, indicating
that sublittoral habitats may provide more robust estimates of acidif
ication stress. The greatest standardized effect occurred for the poll
ution-specific acidification index of littoral habitats. Selecting ind
icator metrics for field assessment of impact should be carefully done
, and in particular, more focus should be placed on evaluating the rob
ustness of indicator metrics by analyzing indicator metric variance, e
xpected effect size, and statistical power.