196 
Fishery Bulletin 119(2-3) 
Elith, J., C. H. Graham, R. P. Anderson, M. Dudik, S. Ferrier, 
A. Guisan, R. J. Hijmans, F. Huettmann, J. R. Leathwick, 
A. Lehmann, et al. 
2006. Novel methods improve prediction of species’ distribu- 
tions from occurrence data. Ecography 29:129-151. 
Elith, J., J. R. Leathwick, and T. Hastie. 
2008. A working guide to boosted regression trees. J. Anim. 
Ecol. 77:802-813. 
Goff, J. A., B. J. Kraft, L. A. Mayer, S. G. Schock, C. K. Sommerfield, 
H. C. Olsen, S. P. S. Gulick, and S. Nordfjord. 
2004. Seabed characterization on the New Jersey middle 
and outer shelf: correlatability and spatial variability of 
seafloor sediment properties. Mar. Geol. 209:147-172. 
Grohmann, C. H., M. J. Smith, and C. Riccomini. 
2011. Multiscale analysis of topographic surface roughness in 
the midland valley, Scotland. IEEE Trans. Geosci. Remote 
Sens. 49:1200-1213. 
Guisan, A.,S. B. Weiss, and A. D. Weiss. 
1999. GLM versus CCA spatial modeling of plant species 
distribution. Plant Ecol. 143:107—122. 
Hijmans, R. J., S. Phillips, J. Leathwick, and J. Elith. 
2017. dismo: species distribution modeling. R package, vers. 
1.1-4. [Available from website, accessed October 2019.] 
Hosmer, D. W., and S. Lemeshow. 
2000. Applied logistic regression, 2nd ed., 392 p. John Wiley 
and Sons, New York. 
Jackson, D. R., and M. D. Richardson. 
2007. High-frequency seafloor acoustics, 616 p. Springer, 
New York. 
Jagielo, T., A. Hoffmann, J. Tagart, and M. Zimmermann. 
2003. Demersal groundfish densities in trawlable and 
untrawlable habitats off Washington: implications for the 
estimation of habitat bias in trawl surveys. Fish. Bull. 
101:545-565. 
Jones, D. T., C. D. Wilson, A. De Robertis, C. N. Rooper, T. C. Weber, 
and J. L. Butler. 
2012. Evaluation of rockfish abundance in untrawlable habi- 
tat: combining acoustic and complementary sampling tools. 
Fish. Bull. 110:332-343. 
Jones, D. T., C. N. Rooper, C. D. Wilson, P. D. Spencer, 
D. H. Hanselman, and R. E. Wilborn. 
2021. Estimates of availability and catchability for select 
rockfish species based on acoustic-optic surveys in the Gulf 
of Alaska. Fish. Res. 236:105848. 
Kuhn, M. 
2019. caret: classification and regression training. R package, 
vers. 6.0-84. [Available from website, accessed January 
2020.] 
Lamarche, G., X. Lurton, A.-L. Verdier, and J.-M. Augustin. 
2011. Quantitative characterisation of seafloor substrate and 
bedforms using advanced processing of multibeam back- 
scatter—application to Cook Strait, New Zealand. Cont. 
Shelf Res. 31(Suppl. 2):S93—-S109. 
Liaw, A., and M. Wiener. 
2002. Classification and regression by randomForest. R News 
2(3):18-22. 
McConnaughey, R. A., and S. E. Syrjala. 
2009. Statistical relationships between the distributions of 
groundfish and crabs in the eastern Bering Sea and pro- 
cessed returns from a single-beam echosounder. ICES 
J. Mar. Sci. 66:1425-14382. 
McCullagh, P., and J. A. Nelder. 
1983. Generalized linear models, 261 p. Chapman and Hall, 
New York. 
Okun, O., and H. Priisalu. 
2007. Random forest for gene expression based cancer clas- 
sification: overlooked issues. In Pattern recognition and 
image analysis. IbPRIA 2007. Lecture notes in computer 
science, vol. 4478 (J. Marti, J. M. Benedi, A. M. Mendonca, 
and J. Serrat, eds.), p. 438-490. Springer, Berlin, Germany. 
Pirtle, J. L., T. C. Weber, C. D. Wilson, and C. N. Rooper. 
2015. Assessment of trawlable and untrawlable seafloor using 
multibeam-derived metrics. Methods Oceanogr. 12:18-35. 
Rooper, C. N., M. H. Martin, J. L. Butler, D. T. Jones, and 
M. Zimmermann. 
2012. Estimating species and size composition of rockfishes 
to verify targets in acoustic surveys of untrawlable areas. 
Fish. Bull. 110:317-331. 
Rooper, C. N., M. F. Sigler, P. Goddard, P. Malecha, R. Towler, 
K. Williams, R. Wilborn, and M. Zimmerman. 
2016. Validation and improvement of species distribution 
models for structure-forming invertebrates in the eastern 
Bering Sea with an independent survey. Mar. Ecol. Prog. 
Ser. 551:117-130. 
Sappington, J. M., K. M. Longshore, and D. B. Thompson. 
2007. Quantifying landscape ruggedness for animal habitat 
analysis: a case study using bighorn sheep in the Mojave 
Desert. J. Wildl. Manage. 71:1419-1426. 
Somerton, D. A., R. A. McConnaughey, and S. S. Intelmann. 
2017. Evaluating the use of acoustic bottom typing to inform 
models of bottom trawl sampling efficiency. Fish. Res. 
185:14-16. 
Stauffer, G. 
2004. NOAA protocols for groundfish bottom trawl surveys 
of the nation’s fishery resources. NOAA Tech. Memo. 
NMEFS-F/SPO-65, 205 p. 
Stienessen, S. C., C. D. Wilson, T. C. Weber, and J. K. Parrish. 
2019. External and internal grouping characteristics of 
juvenile walleye pollock in the eastern Bering Sea. Aquat. 
Living Resour. 32:19. 
Trenkel, V. M., V. Mazauric, and L. Berger. 
2008. The new fisheries multibeam echosounder ME70: 
description and expected contribution to fisheries research. 
ICES J. Mar. Sci. 65:645-655. 
von Szalay, P. G., and N. W. Raring. 
2018. Data report: 2017 Gulf of Alaska bottom trawl survey. 
NOAA Tech. Memo. NMFS-AFSC-374, 260 p. 
Weber, T. C., C. Rooper, J. Butler, D. Jones, and C. Wilson. 
2013. Seabed classification for trawlability determined with 
a multibeam echo sounder on Snakehead Bank in the Gulf 
of Alaska. Fish. Bull. 111:68—77. 
Williams, K., C. N. Rooper, and R. Towler. 
2010. Use of stereo camera systems for assessment of rockfish 
abundance in untrawlable areas and for recording pollock 
behavior during midwater trawls. Fish. Bull. 108:352-362. 
Wilson, M. F. J., B. O’Connell, C. Brown, J. C. Guinan, and 
A. J. Grehan. 
2007. Multiscale terrain analysis of multibeam bathymetry 
data for habitat mapping on the continental slope. Mar. 
Geod. 30:3-35. 
Wood, S. N. 
2017. Generalized additive models: an introduction with R, 
2nd ed., 496 p. CRC Press, Boca Raton, FL. 
Wood, S. N., and N. H. Augustin. 
2002. GAMs with integrated model selection using penalized 
regression splines and applications to environmental mod- 
elling. Ecol. Model. 157:157-177. 
