AFSC/RACE/GAP/McConnaughey: Bristol Bay Reconnaissance Study-2002-QINsy

Environmental variables that are ecologically relevant and easily measured over large areas are useful for modelling species distributions and habitats. Continuous acoustic, sonar-backscatter data convey information about physical properties of the seabed, and hence could be a valuable addition to that suite of variables. The potential utility of acoustic backscatter was tested for improving habitat models of marine species using data from a pilot sidescan-sonar survey conducted from 28 June to 3 July 2002 in the Bristol Bay region of the eastern Bering Sea (EBS). Raw digital backscatter data were processed with QTC SIDEVIEW and CLAMS software to objectively segment bedform based on statistical analysis of the echograms. Resultant acoustic variables - Q-values (Q1, Q2, and Q3)-, representing the first three principal components of the data derived from image analysis of backscatter echoes, and a complexity metric (compx) measuring the variance of Q-values in a geographic area - were used in multiple linear regression to model individual species abundance from bottom-trawl survey data.

In addition to examining the utility of acoustic backscatter for modelling various biotic distributions, the data also provided a geological seabed reconnaissance across a relatively large, and previously unsurveyed, area of the EBS. QTC classification results were additionally compared with expert interpretations by a marine geologist familiar with the Bristol Bay region, and groundtruth data were summarized.

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