A large-scale categorization of sites in San Francisco Bay, USA, based on the sediment quality triad, toxicity identification evaluations, and gradient studies
Jw. Hunt et al., A large-scale categorization of sites in San Francisco Bay, USA, based on the sediment quality triad, toxicity identification evaluations, and gradient studies, ENV TOX CH, 20(6), 2001, pp. 1252-1265
Sediment quality was assessed in San Francisco Bay, California, USA, using
a two-tiered approach in which I I I sites were initially screened for sedi
ment toxicity. Sites exhibiting toxicity were then resampled and analyzed f
or chemical contamination, recurrent toxicity, and, in some cases, benthic
community impacts. Resulting data were compared with newly derived threshol
d values for each of-the metrics in a triad-based weight-of-evidence evalua
tion. Sediment toxicity test results were compared with tolerance limits de
rived from reference site data, benthic community data were compared with t
hreshold values for a relative benthic index based on the presence and abun
dance of pollution-tolerant and -sensitive taxa, and concentrations of chem
icals and chemical mixtures were compared with sediment quality guideline-b
ased thresholds. A total of 57 sites exceeded threshold values for at least
one metric, and each site was categorized based on triad inferences. Nine
sites were found to exhibit recurrent sediment toxicity associated with ele
vated contaminant concentrations, conditions that met program criteria for
regulatory attention. Benthic community impacts were also observed at three
of these sites, providing triad evidence of pollution-induced degradation.
Multi- and univariate correlations indicated that chemical mixtures, heavy
metals, chlordanes, and other organic compounds were associated with measu
red biological impacts in the Bay. Toxicity identification evaluations indi
cated that metals were responsible for pore-water toxicity to sea urchin la
rvae at two sites. Gradient studies indicated that the toxicity tests and b
enthic community metrics employed in the study predictably tracked concentr
ations of chemical mixtures in Bay sediments.