Development and application of an empirical multifrequency method for backscatter classification

We evaluated the feasibility of identifying major acoustic scatters in North Pacific ecosystems based on empirical measurements of relative frequency response. Acoustic measurements in areas where trawl catches were dominated by single taxa indicated that it might be possible to discern among key groups of scatterers such as fish with gas-filled swimbladders, euphausiids, myctophids, and jellyfish. To establish if walleye pollock (Theragra chalcogramma), a key species in the ecosystem, can be separated reliably from other groups under prevailing conditions, we developed a method based on the normal deviate (or Z score) to identify backscatter consistent with the pollock relative frequency response. We evaluated the performance of the method by comparing it with the traditional method of species identification (i.e., directed trawl catches and subjective interpretation of echograms) during five large-scale acoustic surveys of the eastern Bering Sea. Pollock abundance estimates employing the multifrequency ...

[1]  F. Tichy,et al.  Non-linear effects in a 200-kHz sound beam and the consequences for target-strength measurement , 2003 .

[2]  M. Barangé,et al.  Influence of trawling on in situ estimates of Cape horse mackerel (Trachurus trachurus capensis) target strength , 1994 .

[3]  J. Simmonds,et al.  Species identification using wideband backscatter with neural network and discriminant analysis , 1996 .

[4]  G. Walters,et al.  Survey Assessment of Semi-pelagic Gadoids: The Example ofWalleye Pollock, Theragra chalcogramma, in the Eastern Bering Sea , 1994 .

[5]  Walleye pollock respond to trawling vessels , 2006 .

[6]  Geir Odd Johansen,et al.  Acoustic species identification of schooling fish , 2009 .

[7]  P. Wiebe,et al.  Acoustic scattering characteristics of several zooplankton groups , 1996 .

[8]  Brian Hoover,et al.  Active acoustic examination of the diving behavior of murres foraging on patchy prey , 2011 .

[9]  J. Koslow,et al.  The role of acoustics in ecosystem-based fishery management , 2009 .

[10]  Kenneth G. Foote,et al.  Rather‐high‐frequency sound scattering by swimbladdered fish , 1985 .

[11]  Andrew S. Brierley,et al.  Single-target echo detections of jellyfish , 2004 .

[12]  C I H Anderson,et al.  Classifying multi-frequency fisheries acoustic data using a robust probabilistic classification technique. , 2007, The Journal of the Acoustical Society of America.

[13]  K. Foote Importance of the swimbladder in acoustic scattering by fish: A comparison of gadoid and mackerel target strengths , 1980 .

[14]  J. Jech,et al.  A multifrequency method to classify and evaluate fisheries acoustics data , 2006 .

[15]  Paul G. Fernandes,et al.  Proposals for the collection of multifrequency acoustic data , 2008 .

[16]  K. Benoit‐Bird The effects of scattering-layer composition, animal size, and numerical density on the frequency response of volume backscatter , 2009 .

[17]  John K. Horne,et al.  Multi-frequency estimates of fish abundance: constraints of rather high frequencies , 1999 .

[18]  E. Ona,et al.  An operational system for processing and visualizing multi-frequency acoustic data , 2002 .

[19]  J. Horne,et al.  Potential acoustic discrimination within boreal fish assemblages , 2004 .

[20]  Christopher D. Wilson,et al.  Discriminant Classification of Fish and Zooplankton Backscattering at 38 and 120 kHz , 2006 .

[21]  R. E. Thorne,et al.  Ground truth and target identification for fisheries acoustics , 2000 .

[22]  Rudy J. Kloser,et al.  Species identification in deep water using multiple acoustic frequencies , 2002 .

[23]  J. Napp,et al.  Climate impacts on eastern Bering Sea foodwebs: a synthesis of new data and an assessment of the Oscillating Control Hypothesis , 2011 .

[24]  E. Ona,et al.  Synthetic echograms generated from the relative frequency response , 2003 .

[25]  P. Wiebe,et al.  From the Hensen net toward four-dimensional biological oceanography , 2003 .

[26]  P. Wiebe,et al.  Determining dominant scatterers of sound in mixed zooplankton populations. , 2007, The Journal of the Acoustical Society of America.

[27]  J. Horne,et al.  Characterization and classification of acoustically detected fish spatial distributions , 2008 .

[28]  M. Barangé,et al.  Species identification of pelagic fish schools on the South African continental shelf using acoustic descriptors and ancillary information , 2001 .

[29]  Christopher D. Wilson,et al.  Silent ships do not always encounter more fish: comparison of acoustic backscatter recorded by a noise-reduced and a conventional research vessel , 2008 .

[30]  D. Holliday,et al.  Bioacoustical oceanography at high frequencies , 1995 .

[31]  Pierre Petitgas,et al.  Standard protocols for the analysis of school based data from echo sounder surveys , 2000 .

[32]  Andrew S. Brierley,et al.  Acoustic discrimination of Southern Ocean zooplankton , 1998 .

[33]  E. Johannesen,et al.  Baleen whale distributions and prey associations in the Barents Sea , 2011 .

[34]  N. Williamson,et al.  Results of the Echo Integration-Trawl Survey of Walleye Pollock (Theragra chalcogramma) on the U.S. and Russian , 2008 .

[35]  Paul G. Fernandes,et al.  Classification trees for species identification of fish-school echotraces , 2009 .

[36]  E. K. Pikitch,et al.  Ecosystem-Based Fishery Management , 2004, Science.

[37]  W. Pearcy,et al.  Swimbladder morphology and specific gravity of myctophids off Oregon , 1972 .

[38]  E. Murphy,et al.  Interpretation of acoustic data at two frequencies to discriminate between Antarctic krill (Euphausia superba Dana) and other scatterers , 1993 .

[39]  Christopher D. Wilson,et al.  Juvenile Walleye Pollock Aggregation Structure in the Gulf of Alaska , 2008 .

[40]  Olav Rune Godø,et al.  Diel migration and swimbladder resonance of small fish: some implications for analyses of multifrequency echo data , 2009 .

[41]  Alex De Robertis,et al.  A post-processing technique to estimate the signal-to-noise ratio and remove echosounder background noise , 2007 .

[42]  J K Horne,et al.  Multifrequency species classification of acoustic-trawl survey data using semi-supervised learning with class discovery. , 2012, The Journal of the Acoustical Society of America.

[43]  Brian S. Nakashima Escapement from a Diamond IX midwater trawl during acoustic surveys for capelin (Mallotus villosus) in the Northwest Atlantic , 1990 .

[44]  George R. Cutter,et al.  A statistical-spectral method for echo classification , 2009 .

[45]  David N. MacLennan,et al.  Fisheries and plankton acoustics: past, present, and future , 1996 .

[46]  John K. Horne,et al.  Acoustic approaches to remote species identification: a review , 2000 .

[47]  Verena M. Trenkel,et al.  Underwater acoustics for ecosystem-based management: state of the science and proposals for ecosystem indicators , 2011 .

[48]  P. Stabeno,et al.  Mesopelagic nekton and associated physics of the southeastern Bering Sea , 2002 .

[49]  Manell E. Zakharia,et al.  Wideband sounder for fish species identification at sea , 1996 .

[50]  M. Huntley,et al.  ADCP measurements of the distribution and abundance of euphausiids near the Antarctic Peninsula in winter , 1994 .

[51]  E. Ona An expanded target-strength relationship for herring , 2003 .

[52]  I. Aoki,et al.  Acoustic identification of isada krill, Euphausia pacifica Hansen, off the Sanriku coast, north‐eastern Japan , 1998 .

[53]  Charles F. Greenlaw,et al.  Acoustical estimation of zooplankton populations1 , 1979 .