28.05.2014 Views

appendix b final 2008 biological surveys of los angeles and long ...

appendix b final 2008 biological surveys of los angeles and long ...

appendix b final 2008 biological surveys of los angeles and long ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

4.0 Ichthyoplankton<br />

The numbers were adjusted to the number <strong>of</strong> each taxon per 100 m 2 (referred to in this report<br />

as weighted mean abundance) by multiplying the number <strong>of</strong> each taxa per 100 m 3 by the depth<br />

<strong>of</strong> water that the net sampled. It was estimated that the manta net sampled the upper 0.16<br />

meters <strong>of</strong> the water column, the epibenthic net sampled the lower 0.70 meters <strong>of</strong> the water<br />

column, <strong>and</strong> the stepped oblique net sampled the rest <strong>of</strong> the water column (station water depth<br />

– [0.16 + 0.70]). For example, if there were 2.5 individuals <strong>of</strong> Taxon A per 100 m 3 in a stepped<br />

oblique sample that was collected in 12.2 meters water depth, the total density would equal<br />

28.35 per 100 m 2 [2.5 times (12.2 minus 0.86)]. If this same density <strong>of</strong> fish was found in the<br />

neuston net there would be 0.4 per 100 m 2 (2.5 times 0.16). This process <strong>of</strong> weighting the<br />

strata allowed the three sample types from each station to be added together to generate an<br />

estimate <strong>of</strong> the number <strong>of</strong> eggs <strong>and</strong> larvae in the entire water. Diversity at each station was<br />

calculated as the number <strong>of</strong> taxa, Shannon-Weiner index, Margalef index, <strong>and</strong> dominance (see<br />

Section 3.2.4 for a description <strong>of</strong> these measures <strong>of</strong> diversity).<br />

The data on larval fishes collected by the three sampling methods during the three <strong>surveys</strong> were<br />

combined <strong>and</strong> compared among the nineteen stations using multivariate non-metric<br />

multidimensional scaling (MDS). The analysis was completed by first transforming the data to<br />

the 4 th root to correct for the large-scale differences among densities, <strong>and</strong> then computing Bray-<br />

Curtis distances among each set <strong>of</strong> data. The Bray-Curtis distance is a commonly used<br />

measure <strong>of</strong> the degree <strong>of</strong> similarity between sets <strong>of</strong> data based on differences in species <strong>and</strong><br />

their abundances (Clarke <strong>and</strong> Warwick 2001). The Bray-Curtis distances were then analyzed<br />

using MDS that optimizes the spatial differences into two-dimensions. The MDS analysis was<br />

completed using the PRIMER analysis package (Clarke <strong>and</strong> Gorley 2001).<br />

The relationship between larval fish composition <strong>and</strong> sediment grain size was investigated using<br />

the RELATE analysis procedure in the PRIMER statistical package (Clarke <strong>and</strong> Gorley 2001).<br />

The RELATE procedure computes a rank correlation between the rank order <strong>of</strong> Bray-Curtis<br />

distances among stations based on the <strong>biological</strong> data <strong>and</strong> the rank order based on the<br />

Euclidean distances among the stations based on the grain size data.<br />

4.2.4 Method Comparison Study<br />

A comparison <strong>of</strong> larval species composition <strong>and</strong><br />

abundance collected during the current study<br />

(referred to below as “three nets”) <strong>and</strong> the<br />

modified CalCOFI-type net deployment method<br />

was undertaken during Surveys 2 (April) <strong>and</strong> 3<br />

(July). The objective <strong>of</strong> this special study was to<br />

determine if more recent <strong>and</strong> widely accepted<br />

sampling methods could produce comparable<br />

data <strong>and</strong> decrease the overall field <strong>and</strong> laboratory<br />

effort for future baseline <strong>surveys</strong>. During this<br />

special study the bongo nets were deployed at<br />

ten <strong>of</strong> nineteen ichthyoplankton stations (LA1,<br />

LA2, LA4, LA5, LA6, LB1, LB2, LB3, LB5, <strong>and</strong><br />

LB6; Figure 4.2-1) to collect a sample throughout<br />

the entire water column following similar methods to those employed by CalCOFI. In general,<br />

the bongo nets were fished from the surface to the bottom <strong>and</strong> then back to the surface, with the<br />

nets collecting a similar volume <strong>of</strong> water at all depth strata. The deeper stations (depths<br />

between 40-50’) were selected for the comparison study because (1) these stations are<br />

relatively easy to sample (fewer deployment <strong>and</strong> retrieval cycles to filter a target volume) <strong>and</strong> (2)<br />

if there is stratification <strong>of</strong> the larvae, such as between the surface <strong>and</strong> bottom, differences are<br />

<strong>2008</strong> Biological Surveys <strong>of</strong> Los Angeles <strong>and</strong> Long Beach Harbors 4–3<br />

April 2010

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!