304 
Fishery Bulletin 106(3) 
C. Grandin for the C.C.G.S. RV John P. Tully 2002 
data, and J. Hewitt for the RV Rangithi 1999 data. 
The data contributors also provided helpful manu- 
script reviews, along with D. Somerton, R. McCon- 
naughey, S. Syrjala, L. Bonacci, and three anonymous 
reviewers. S. Syrjala, P. Spencer, and others provided 
helpful statistical advice. The video and multibeam 
groundtruth data from the Aleutian Islands were col- 
lected with support from the North Pacific Research 
Board. 
Literature cited 
Anderson, J. T. 
2001. Classification of marine habitats using submersible 
and acoustic seabed techniques. In Spatial processes 
and management of fish populations (G. H. Kruse, N. 
Bez, A. Booth, M. W. Dorn, S. Hills, R. N. Lipcius, D. 
Pelletier, C. Roy, S. J. Smith, and D. Witherells, eds.), 
p. 377-393. Alaska Sea Grant Rep., Alaska Sea Grant 
Program, Univ. Alaska Fairbanks. AK-SG-01-02. 
Anderson, J. T., R. S. Gregory, and W. T. Collins. 
2002. Acoustic classification of marine habitats in coastal 
Newfoundland. ICES J. Mar. Sci. 59:156-167. 
Ellingsen, K. E., J. S. Gray, and E. Bjprnbom. 
2002. Acoustic classification of seabed habitats using 
the QTC VIEW™ system. ICES J. Mar. Sci. 59: 
825-835. 
Federal Register. 
2002. Magnuson-Stevens Act Provisions; Essential 
Fish Habitat (EFH). 50 CFR Part 600, Federal Regis- 
ter 67(12):2343-2383. Office of the Federal Register, 
National Archives and Records Administration (NARA), 
College Park, MD. 
Kloser, R. J., N. J. Bax, T. Ryan, A. Williams, and B. A. Barker. 
2001. Remote sensing of seabed types in the Austra- 
lian South East Fishery; development and application 
of normal acoustic techniques and associated “ground 
truthing.” Mar. Freshw. Res. 52:475-489. 
Legendre, P. 
2003. Reply to the comment by Preston and Kirlin on 
“Acoustic seabed classification: improved statistical 
method”. Can. J. Fish. Aquat. Sci. 60:1301-1305. 
Legendre, P., K. E. Ellingsen, E. Bjornbom, and P. Casgrain. 
2002. Acoustic seabed classification: improved statistical 
method. Can. J. Fish. Aquat. Sci. 59:1085-1089. 
Legendre, P., and L. Legendre. 
1998. Numerical ecology, 2 nd ed., 853 p. Elsevier Sci- 
ence B.V., Amsterdam. [In English.]. 
Manly, B. F. J. 
1994. Multivariate statistical methods, 2 nd ed., 215 p. 
Chapman and Hall, New York, NY. 
Morrison, M. A., S. F. Thrush, and R. Budd. 
2001. Detection of acoustic class boundaries in soft sedi- 
ment systems using the seafloor acoustic discrimination 
system QTC VIEW. J. Sea Res. 46:233-243. 
Neter, J., W. Wasserman, and M. H. Kutner. 
1990. Applied linear statistical models: regression, analy- 
sis of variance, and experimental designs, 3 rd ed., 1181 p. 
Richard D. Irwin, Homewood, IL. 
Orlowski, A. 
1984. Application of multiple echoes energy measure- 
ments for evaluation of sea bottom type. Oceanologia 
19:61-78. 
Pace, N. G., and R. V. Ceen. 
1982. Seabed classification using the backscattering of 
normally incident broadband acoustic pulses. Hydrogr. 
J. 26:9-16. 
Preston, J. M., and R. L. Kirlin. 
2003. Comment on “Acoustic seabed classification: 
improved statistical method”. Can. J. Fish. Aquat. 
Sci. 60:1299-1300. 
Rooper, C. N., and M. Zimmermann. 
2007. A bottom-up methodology for integrating under- 
water video and acoustic mapping for seafloor substrate 
classification. Cont. Shelf Res. 27:947-957. 
van Walree, P. A., J. T. Tegowski, C. Laban,, and D. G. Simons. 
2005. Acoustic seafloor discrimination with echo shape 
parameters: A comparison with the ground truth. Cont. 
Shelf Res. 25:2273-2293. 
von Szalay, P. G. 
1998. The feasibility of using single beam seabed clas- 
sification systems to identify and quantify slope rockfish 
habitat in the Gulf of Alaska. M.S. thesis, 158 p. Univ. 
Washington, Seattle, WA. 
von Szalay, P. G., and R. A. McConnaughey. 
2002. The effect of slope and vessel speed on the perfor- 
mance of a single beam acoustic seabed classification 
system. Fish. Res. 56:99-112. 
