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Vol. 53 - Alaska Resources Library and Information Services

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Bongo samples were usually split no further than 1/8, <strong>and</strong> were never<br />

split to less than 1/16, of the original sample. Such splits place the<br />

lower level of detection in sub-samples at about 8-16 animals of each<br />

taxon per 200-300 m 3 average tow, assuming perfectly uniform distribution<br />

of the larvae in the splitting process.<br />

Early in the season, the<br />

zooplankton community is not well developed, so splits were usually not<br />

necessary.<br />

Under these conditions the entire sample is examined <strong>and</strong> the<br />

probable lower level of detection for reporting becomes about 1 in 250 m³<br />

(assuming an average tow), or roughly 5 per 1000 m³ or 30 per 100 m².<br />

MOCNESS nets filtered about three times more water per meter of<br />

depth than the Bongo tows (200-300 m 3 per 20 m depth interval for<br />

MOCNESS compared with 200-300 m 3 per 60 m for Bongo nets).<br />

However, our<br />

share of PROBES MOCNESS samples was 20% of the original (the splits were<br />

done on board ship), so we always examined plankton from a smaller volume<br />

of water with MOCNESS samples than Bongo samples.<br />

Theoretically, MOCNESS<br />

samples should be less capable of detecting low larval abundance than<br />

Bongo samples.<br />

In addition, the finer mesh of the MOCNESS nets usually<br />

necessitated more sub-sampling, but not early in the season (April <strong>and</strong><br />

early May) at early stages in the development of the zooplankton<br />

community.<br />

Since MOCNESS nets had a finer mesh, they were more prone to net<br />

clogging than the larger mesh Bongo nets.<br />

Clogging may be caused by<br />

phytoplankton as well as zooplankton, <strong>and</strong> reduces the actual amount of<br />

seawater filtered. The analytical problem created by this condition is<br />

compounded by the location of the flow-metering device.<br />

Unlike the<br />

515

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