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Sediment Quality in Puget Sound Year 2 - Center for Coastal ...

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analyses will be reported elsewhere by NOAA. After sta<strong>in</strong><strong>in</strong>g with rose bengal, the 1.0 mm<br />

sample fractions were exam<strong>in</strong>ed under dissection microscopes, and all macro<strong>in</strong>faunal<br />

<strong>in</strong>vertebrates and fragments were removed and sorted <strong>in</strong>to the follow<strong>in</strong>g major taxonomic<br />

groups: Annelids, Arthropoda, Molluscs, Ech<strong>in</strong>odermata, and miscellaneous taxa. Meiofaunal<br />

organisms such as nematodes and <strong>for</strong>am<strong>in</strong>iferans were not removed from samples, although their<br />

presence and relative abundance were recorded. Representative samples of colonial organisms<br />

such as hydrozoans, sponges, and bryozoans were collected, and their relative abundance noted.<br />

Sort<strong>in</strong>g QAIQC procedures consisted of resort<strong>in</strong>g 25% of each sample by a second sorter to<br />

determ<strong>in</strong>e whether a sample sort<strong>in</strong>g efficiency of 95% removal was met. If the 95% removal<br />

criterion was not met, the entire sample was resorted.<br />

Taxonomic Identification<br />

Upon completion of sort<strong>in</strong>g and sort<strong>in</strong>g QAIQC, the majority of the taxonomic work was<br />

contracted to recognized regional taxonomic specialists. Organisms were enumerated and<br />

identified to the lowest taxonomic level possible, generally to species. In general, anterior ends<br />

of organisms were counted, except <strong>for</strong> bivalves (h<strong>in</strong>ges), gastropods (opercula), and ophiuroids<br />

(oral disks). When possible, at least two pieces of literature (preferably <strong>in</strong>clud<strong>in</strong>g orig<strong>in</strong>al<br />

descriptions) were used <strong>for</strong> each species identification. A maximum of three representative<br />

organisms of each species or taxon was removed from the samples and placed <strong>in</strong> a voucher<br />

collection. Taxonomic identification quality control <strong>for</strong> all taxonomists <strong>in</strong>cluded re-<br />

identification of 5% of all samples identified by the primary taxonomist and verification of<br />

voucher specimens generated by another qualified taxonomist.<br />

Data Summary, Display, and Statistical Analysis<br />

Toxicity Test<strong>in</strong>g<br />

Amphipod Survival - Solid Phase<br />

Data from each station <strong>in</strong> which mean percent survival was less than that of the control were<br />

compared to the CLIS control us<strong>in</strong>g a one-way, unpaired t-test (alpha < 0.05) assum<strong>in</strong>g unequal<br />

variance. Results were not trans<strong>for</strong>med because exam<strong>in</strong>ation of data from previous tests has<br />

shown that results of tests per<strong>for</strong>med with A. abdita met the requirements <strong>for</strong> normality.<br />

"Significant toxicity" <strong>for</strong> A. abdita is def<strong>in</strong>ed here as survival statistically less than that <strong>in</strong> the<br />

per<strong>for</strong>mance control (alpha < 0.05). In addition, samples <strong>in</strong> which survival was significantly less<br />

than controls and less than 80% of CLIS control values were regarded as "highly toxic". The<br />

80% criterion is based upon statistical power curves created from SAIC's extensive test<strong>in</strong>g<br />

database with A. abdita (Thursby et al., 1997). Their analyses showed that the power to detect a<br />

20% difference from the control is approximately 90%. The m<strong>in</strong>imum significant difference<br />

(i.e., "MSD" of ~ 80% of control response) was used as the critical value <strong>in</strong> calculations of the<br />

spatial extent of toxicity (Long et al., 1996, 1999a).<br />

Sea Urch<strong>in</strong> Fertilization - Pore Water<br />

For the sea urch<strong>in</strong> fertilization tests, statistical comparisons among treatments were made us<strong>in</strong>g<br />

ANOVA and Dunnett's one-tailed t-test (which controls the experiment-wise error rate) on the<br />

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