Abstract
Fisheries acoustics is now a standard tool for monitoring marine organisms. Another use of active-acoustics techniques is the potential to qualitatively describe fish school and seafloor characteristics or the distribution of fish density hotspots. Here, we use a geostatistical approach to describe the distribution of acoustic density hotspots within three fishing regions of the Northern Demersal Scalefish Fishery in Western Australia. This revealed a patchy distribution of hotspots within the three regions, covering almost half of the total areas. Energetic, geometric and bathymetric descriptors of acoustically identified fish schools were clustered using robust sparse k-means clustering with a Clest algorithm to determine the ideal number of clusters. Identified clusters were mainly defined by the energetic component of the school. Seabed descriptors considered were depth, roughness, first bottom length, maximum \(S_{v}\), kurtosis, skewness and bottom rise time. The ideal number of bottom clusters (maximisation rule with D-Index, Hubert Score and Weighted Sum of Squares), following the majority rule, was three. Cluster 1 (mainly driven by depth) was the sole type present in Region 1, Cluster 2 (mainly driven by roughness and maximum \(S_{v})\) dominated Region 3, while Region 2 was split up almost equally between Cluster 2 and 3. Detection of indicator species for the three seabed clusters revealed that the selected clusters could be related to biological information. Goldband snapper and miscellaneous fish were indicators for Cluster 1; Cods, Lethrinids, Red Emperor and other Lutjanids were linked with Cluster 2, while Rankin Cod and Triggerfish were indicators for Cluster 3.
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Dalen, J., Karp, W.A.: Collection of Acoustic Data from Fishing Vessels. ICES Cooperative Research Report No. 287, 83 pp (2007)
Melvin, G.D., Kloser, R., Honkalehto, T.: The adaptation of acoustic data from commercial fishing vessels in resource assessment and ecosystem monitoring. Fish. Res 178, 13–25 (2016)
Ressler, P.H., Fleischer, G.W., Wespestad, V.G., Harms, J.: Developing a commercial-vessel-based stock assessment survey methodology for monitoring the US west coast widow rockfish (Sebastes entomelas) stock. Fish. Res 99, 63–73 (2009)
Fässler, S.M., Brunel, T., Gastauer, S., Burggraaf, D.: Acoustic data collected on pelagic fishing vessels throughout an annual cycle: operational framework, interpretation of observations, and future perspectives. Fish. Res. 178, 39–46 (2016)
ICES: Report of the Workshop on Scrutinisation Procedures for Pelagic Ecosystem Surveys (WKSCRUT). ICES CM 2015/SSGIEOM:18. Hamburg (2015)
Kloser, R.J., Ryan, T.E., Young, J.W., Lewis, M.E.: Acoustic observations of micronekton fish on the scale of an ocean basin: potential and challenges. ICES J. Mar. Sci. 66(6), 998–1006 (2009)
Kloser, R.J., Ryan, T., Sakov, P., Williams, A., Koslow, J.A.: Species identification in deep water using multiple acoustic frequencies. Can. J. Fish. Aquat. Sci. 59, 1065–1077 (2002). doi:10.1139/f02-076
Simmonds, J., MacLennan, D.N.: Fisheries Acoustics: Theory and Practice. Wiley, New York (2005)
Barbeaux, S.J.: Scientific Acoustic Data from Commercial Fishing Vessels: Eastern Bering Sea Walleye Pollock (Theragra chalcogramma), http://search.proquest.com.dbgw.lis.curtin.edu.au/docview/1013759483/abstract/3EAE09E9E2FC462CPQ/1 (2012)
Barbeaux, S.J., Horne, J.K., Dorn, M.W.: Characterizing walleye pollock (Theragra chalcogramma) winter distribution from opportunistic acoustic data. ICES J. Mar. Sci. 70(6), 1162–1173 (2013)
Gastauer, S., Scoulding, B., Parsons, M.: Towards acoustic monitoring of a mixed demersal fishery based on commercial data: the case of the Northern Demersal Scalefish Fishery (Western Australia). Fish. Res. 195, 91–104 (2017)
Petitgas, P., Woillez, M., Doray, M., Rivoirard, J.: A geostatistical definition of hotspots for fish spatial distributions. Math. Geosci. 48, 65–77 (2016)
Woillez, M., Rivoirard, J., Petitgas, P.: Notes on survey-based spatial indicators for monitoring fish populations. Aquat. Living Resour. 22, 155–164 (2009)
Woillez, M., Poulard, J.-C., Rivoirard, J., Petitgas, P., Bez, N.: Indices for capturing spatial patterns and their evolution in time, with application to European hake (Merluccius merluccius) in the Bay of Biscay. ICES J. Mar. Sci. J. Cons. 64, 537–550 (2007). doi:10.1093/icesjms/fsm025
Gastauer, S., Fässler, S.M.M., O’Donnell, C., Høines, Å., Jakobsen, J.A., Krysov, A.I., Smith, L., Tangen, Ø., Anthonypillai, V., Mortensen, E., Armstrong, E., Schaber, M., Scoulding, B.: The distribution of blue whiting west of the British Isles and Ireland. Fish. Res. 183, 32–43 (2016). doi:10.1016/j.fishres.2016.05.012
Campanella, F., Taylor, J.C.: Investigating acoustic diversity of fish aggregations in coral reef ecosystems from multifrequency fishery sonar surveys. Fish. Res. 181, 63–76 (2016). doi:10.1016/j.fishres.2016.03.027
De Robertis, A., McKelvey, D.R., Ressler, P.H.: Development and application of an empirical multifrequency method for backscatter classification. Can. J. Fish. Aquat. Sci. 67, 1459–1474 (2010)
Horne, J.K.: Acoustic approaches to remote species identification: a review. Fish. Oceanogr. 9, 356–371 (2000)
Koslow, J.A.: The role of acoustics in ecosystem-based fishery management. ICES J. Mar. Sci. 66(6), 966–973 (2009)
Korneliussen, R.J., Diner, N., Ona, E., Berger, L., Fernandes, P.G.: Proposals for the collection of multifrequency acoustic data. ICES J. Mar. Sci. J. Cons. 65, 982–994 (2008). doi:10.1093/icesjms/fsn052
Woillez, M., Ressler, P.H., Wilson, C.D., Horne, J.K.: Multifrequency species classification of acoustic-trawl survey data using semi-supervised learning with class discovery. J. Acoust. Soc. Am. 131, EL184–EL190 (2012)
Cabreira, A.G., Tripode, M., Madirolas, A.: Artificial neural networks for fish-species identification. ICES J. Mar. Sci. J. Cons. 66, 1119–1129 (2009). doi:10.1093/icesjms/fsp009
Haralabous, J., Georgakarakos, S.: Artificial neural networks as a tool for species identification of fish schools. ICES J. Mar. Sci. J. Cons. 53, 173–180 (1996). doi:10.1006/jmsc.1996.0019
Legendre, P., Legendre, L.F.J.: Binumerical Ecology. Elsevier, Amsterdam (2012)
Fernandes, P.G.: Classification trees for species identification of fish-school echotraces. ICES J. Mar. Sci. J. Cons. 66, 1073–1080 (2009). doi:10.1093/icesjms/fsp060
Peña, M., Carbonell, A., Tor, A., Alvarez-Berastegui, D., Balbín, R., dos Santos, A., Alemany, F.: Nonlinear ecological processes driving the distribution of marine decapod larvae. Deep Sea Res. Part Oceanogr. Res. Pap. 97, 92–106 (2015). doi:10.1016/j.dsr.2014.11.017
Peña, M., Calise, L.: Use of SDWBA predictions for acoustic volume backscattering and the Self-Organizing Map to discern frequencies identifying Meganyctiphanes norvegica from mesopelagic fish species. Deep Sea Res. Part Oceanogr. Res. Pap. 110, 50–64 (2016). doi:10.1016/j.dsr.2016.01.006
Korneliussen, R.J., Heggelund, Y., Eliassen, I.K., Johansen, G.O.: Acoustic species identification of schooling fish. ICES J. Mar. Sci. J. Cons. 66, 1111–1118 (2009)
Fernandes, P.G., Korneliussen, R.J., Lebourges-Dhaussy, A., Masse, J., Iglesias, M., Diner, N., Ona, E., Knutsen, T., Gajate, J., Ponce, R.: The SIMFAMI Project: Species Identification Methods from Acoustic Multifrequency Information. Final Report to the EC No. Q5RS-2001-02054 (2006)
Korneliussen, R.J., Heggelund, Y., Macaulay, G.J., Patel, D., Johnsen, E., Eliassen, I.K.: Acoustic identification of marine species using a feature library. Methods Oceanogr. 17, 187–205 (2016). doi:10.1016/j.mio.2016.09.002
Fernandes, P.G., Copland, P., Garcia, R., Nicosevici, T., Scoulding, B.: Additional evidence for fisheries acoustics: small cameras and angling gear provide tilt angle distributions and other relevant data for mackerel surveys. ICES J. Mar. Sci. (2016). doi:10.1093/icesjms/fsw091
Trenkel, V., Ressler, P.H., Jech, M., Giannoulaki, M., Taylor, C.: Underwater acoustics for ecosystem-based management: state of the science and proposals for ecosystem indicators. Mar. Ecol. Prog. Ser. 442, 285–301 (2011)
Handegard, N.O., du Buisson, L., Brehmer, P., Chalmers, S.J., Robertis, A., Huse, G., Kloser, R., Macaulay, G., Maury, O., Ressler, P.H., et al.: Towards an acoustic-based coupled observation and modelling system for monitoring and predicting ecosystem dynamics of the open ocean. Fish Fish. 14, 605–615 (2013)
Siwabessy, P.J., Tseng, Y., Gavrilov, A.N.: Seabed habitat mapping in coastal waters using a normal incident acoustic technique. Parameters 38, 198–864 (2004)
Anderson, J.T., Holliday, V., Kloser, R., Reid, D., Simard, Y.: Acoustic Seabed Classification of Marine Physical and Biological Landscapes. ICES Cooperative Research Report, 286, 198 pp (2007)
Hamilton, L.J.: Acoustic Seabed Classification Systems. 150 pp, Department of Defence, Defence Science and Technology Organisation (2001)
Cutter, G.R., Demer, D.A.: Seabed classification using surface backscattering strength versus acoustic frequency and incidence angle measured with vertical, split-beam echosounders. ICES J. Mar. Sci. J. Cons. (2013). doi:10.1093/icesjms/fst177
Maravelias, C.D.: Habitat selection and clustering of a pelagic fish: effects of topography and bathymetry on species dynamics. Can. J. Fish. Aquat. Sci. 56, 437–450 (1999)
Greenstreet, S.P., Tuck, I.D., Grewar, G.N., Armstrong, E., Reid, D.G., Wright, P.J.: An assessment of the acoustic survey technique, RoxAnn, as a means of mapping seabed habitat. ICES J. Mar. Sci. J. Cons. 54, 939–959 (1997)
Lazzari, M.A., Tupper, B.: Importance of shallow water habitats for demersal fishes and decapod crustaceans in Penobscot Bay, Maine. Environ. Biol. Fish. 63, 57–66 (2002)
Collins, W.T., McConnaughey, R.A.: Acoustic classification of the sea floor to address essential fish habitat and marine protected area requirements. In: Proceedings of the Canadian Hydrographic Conference, pp. 369–377. Citeseer (1998)
Bax, N.J., Williams, A.: Seabed habitat on the south-eastern Australian continental shelf: context, vulnerability and monitoring. Mar. Freshw. Res 52, 491–512 (2001)
Link, J.S.: Translating ecosystem indicators into decision criteria. ICES J. Mar. Sci. 62, 569–576 (2005). doi:10.1016/j.icesjms.2004.12.015
Hall, S.J., Mainprize, B.: Towards ecosystem-based fisheries management. Fish Fish. 5, 1–20 (2004). doi:10.1111/j.1467-2960.2004.00133.x
Gastauer, S., Scoulding, B., Parsons, M.: Estimates of variability of goldband snapper target strength and biomass in three fishing regions within the Northern Demersal Scalefish Fishery (Western Australia). Fish. Res. 193, 250–262 (2017). doi:10.1016/j.fishres.2017.05.001
Demer, D.A., Berger, L., Bernasconi, M., Bethke, E., Boswell, K., Chu, D., Domokos, R., Dunford, A., Fässler, S., Gauthier, S., Hufnagle, L.T.: Calibration of Acoustic Instruments. ICES Cooperative Research Report, 133pp (2015)
Demer, D.A., Soule, M.A., Hewitt, R.P.: A multiple-frequency method for potentially improving the accuracy and precision of in situ target strength measurements. J. Acoust. Soc. Am. 105, 2359–2376 (1999)
Conti, S.G., Demer, D.A., Soule, M.A., Conti, J.H.: An improved multiple-frequency method for measuring in situ target strengths. ICES J. Mar. Sci. J. Cons. 62, 1636–1646 (2005)
Mitson, R.: Causes and effects of underwater noise on fish abundance estimation. Aquat. Living Resour. 16, 255–263 (2003). doi:10.1016/S0990-7440(03)00021-4
Ryan, T.E., Downie, R.A., Kloser, R.J., Keith, G.: Reducing bias due to noise and attenuation in open-ocean echo integration data. ICES J. Mar. Sci. J. Cons. 72, 2482–2493 (2015). doi:10.1093/icesjms/fsv121
Ballón, M., Bertrand, A., Lebourges-Dhaussy, A., Gutiérrez, M., Ayón, P., Grados, D., Gerlotto, F.: Is there enough zooplankton to feed forage fish populations off Peru? An acoustic (positive) answer. Prog. Oceanogr 91, 360–381 (2011). doi:10.1016/j.pocean.2011.03.001
Lezama-Ochoa, A., Ballón, M., Woillez, M., Grados, D., Irigoien, X., Bertrand, A.: Spatial patterns and scale-dependent relationships between macrozooplankton and fish in the Bay of Biscay: an acoustic study. Mar. Ecol. Prog. Ser. 439, 151–168 (2011). doi:10.3354/meps09318
Ona, E., Mitson, R.B.: Acoustic sampling and signal processing near the seabed: the deadzone revisited. ICES J. Mar. Sci 53, 677–690 (1996). doi:10.1006/jmsc.1996.0087
Nelson, T.A., Boots, B.: Detecting spatial hot spots in landscape ecology. Ecography 31, 556–566 (2008). doi:10.1111/j.0906-7590.2008.05548.x
Bartolino, V., Maiorano, L., Colloca, F.: A frequency distribution approach to hotspot identification. Popul. Ecol. 53, 351–359 (2011). doi:10.1007/s10144-010-0229-2
Kenchington, E., Murillo, F.J., Lirette, C., Sacau, M., Koen-Alonso, M., Kenny, A., Ollerhead, N., Wareham, V., Beazley, L.: Kernel density surface modelling as a means to identify significant concentrations of vulnerable marine ecosystem indicators. PLoS ONE 9, e109365 (2014). doi:10.1371/journal.pone.0109365
Matheron, G.: La déstructuration des hautes teneurs et le krigeage des indicatrices, Centre de Geostatistique et de Morphologie Mathematique, Note N-761, 33pp (1982)
Rivoirard, J., Demange, C., Freulon, X., Lécureuil, A., Bellot, N.: A top-cut model for deposits with heavy-tailed grade distribution. Math. Geosci. 45, 967–982 (2013)
Kondo, Y., Salibian-Barrera, M., Zamar, R.: A Robust and Sparse K-Means Clustering Algorithm. ArXiv Prepr. arXiv:1201.6082. (2012)
Gordaliza, A.: Best approximations to random variables based on trimming procedures. J. Approx. Theory 64, 162–180 (1991). doi:10.1016/0021-9045(91)90072-I
Witten, D.M., Tibshirani, R.: A framework for feature selection in clustering. J. Am. Stat. Assoc. 105, 713–726 (2010). doi:10.1198/jasa.2010.tm09415
Tibshirani, R.: Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B. 58, 267–288 (1996)
Dudoit, S., Fridlyand, J.: A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biol. (2002). doi:10.1186/gb-2002-3-7-research0036
Chipman, H., Tibshirani, R.: Hybrid hierarchical clustering with applications to microarray data. Biostatistics 7, 286–301 (2006). doi:10.1093/biostatistics/kxj007
Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987). doi:10.1016/0377-0427(87)90125-7
Zuur, A.F., Ieno, E.N., Smith, G.M.: Principal component analysis and redundancy analysis. In: Analysing Ecological Data, pp. 193–224. Springer, New York (2007)
Huh, M.-H., Park, D.Y.: Enhancing parallel coordinate plots. J. Korean Stat. Soc. 37, 129–133 (2008). doi:10.1016/j.jkss.2007.10.003
Echoview Software Pty Ltd: Echoview Software 6.1.44., Hobart (2015)
Siwabessy, P.J., Tseng, Y., Gavrilov, A.N., Roughness, E.B., Hardness, E.B.: Seabed habitat mapping in coastal waters using a normal incident acoustic technique. Parameters 38, 198–864 (2004)
Chivers, R.C., Burns, D.: Acoustic surveying of the sea bed. Acoust. Bull. 17, 5–9 (1992)
Chivers, R.C., Emerson, N., Burns, D.R.: New acoustic processing for underway surveying. Hydrogr. J 56, 9–17 (1990)
Hubert, L., Arabie, P.: Comparing partitions. J. Classif. 2, 193–218 (1985). doi:10.1007/BF01908075
Lebart, L., Morineau, A., Piron, M.: Statistique Exploratoire Multidimensionnelle. Dunod, Paris (2000)
Hothorn, T., Everitt, B.S.: A Handbook of Statistical Analyses Using R. CRC Press, Boca Raton (2014)
De Cáceres, M., Legendre, P., Wiser, S.K., Brotons, L.: Using species combinations in indicator value analyses. Methods Ecol. Evol. 3, 973–982 (2012). doi:10.1111/j.2041-210X.2012.00246.x
Dufrêne, M., Legendre, P.: Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecol. Monogr. 67, 345–366 (1997)
De Cáceres, M., Legendre, P., Moretti, M.: Improving indicator species analysis by combining groups of sites. Oikos 119, 1674–1684 (2010). doi:10.1111/j.1600-0706.2010.18334.x
Cáceres, M.D., Legendre, P.: Associations between species and groups of sites: indices and statistical inference. Ecology 90, 3566–3574 (2009). doi:10.1890/08-1823.1
Crowder, L.B., Cooper, W.E.: Habitat structural complexity and the interaction between bluegills and their prey. Ecology 63, 1802–1813 (1982). doi:10.2307/1940122
Schlosser, I.J.: Fish community structure and function along two habitat gradients in a headwater stream. Ecol. Monogr. 52, 395–414 (1982). doi:10.2307/2937352
Walker, B.K., Jordan, L.K.B., Spieler, R.E.: Relationship of reef fish assemblages and topographic complexity on southeastern Florida coral reef habitats. J. Coast. Res. (2009). doi:10.2112/SI53-005.1
Pittman, S.J., Christensen, J.D., Caldow, C., Menza, C., Monaco, M.E.: Predictive mapping of fish species richness across shallow-water seascapes in the Caribbean. Ecol. Model. 204, 9–21 (2007). doi:10.1016/j.ecolmodel.2006.12.017
Friedlander, A.M., Parrish, J.D.: Habitat characteristics affecting fish assemblages on a Hawaiian coral reef. J. Exp. Mar. Biol. Ecol. 224, 1–30 (1998)
Luckhurst, B.E., Luckhurst, K.: Analysis of the influence of substrate variables on coral reef fish communities. Mar. Biol. 49, 317–323 (1978)
Ardron, J., Sointula, B.C.: A GIS recipe for determining benthic complexity: an indicator of species richness. In: Breman, J. (ed.) Marine Geography: GIS for the Oceans and Seas. Environmental Systems Research Institute, pp. 169–175. Redlands, CA (2002)
Gratwicke, B., Speight, M.R.: The relationship between fish species richness, abundance and habitat complexity in a range of shallow tropical marine habitats. J. Fish Biol. 66, 650–667 (2005)
Lawson, G.L., Barange, M., Fréon, P.: Species identification of pelagic fish schools on the South African continental shelf using acoustic descriptors and ancillary information. ICES J. Mar. Sci. J. Cons. 58, 275–287 (2001)
Massé, J., Koutsikopoulos, C., Patty, W.: The structure and spatial distribution of pelagic fish schools in multispecies clusters: an acoustic study. ICES J. Mar. Sci. J. Cons. 53, 155–160 (1996)
Weill, A., Scalabrin, C., Diner, N.: MOVIES-B: an acoustic detection description software. Application to shoal species’ classification. Aquat. Living Resour. 6, 255–267 (1993)
Fréon, P., Gerlotto, F., Soria, M.: Changes in school structure according to external stimuli: description and influence on acoustic assessment. Fish. Res. 15, 45–66 (1992)
Castillo, J., Robotham, H.: Spatial structure and geometry of schools of sardine (Sardinops sagax) in relation to abundance, fishing effort, and catch in northern Chile. ICES J. Mar. Sci. J. Cons. 61, 1113–1119 (2004). doi:10.1016/j.icesjms.2004.07.011
Korneliussen, R.J., Heggelund, Y., Eliassen, I.K., Øye, O.K., Knutsen, T., Dalen, J.: Combining multibeam-sonar and multifrequency-echosounder data: examples of the analysis and imaging of large euphausiid schools. ICES J. Mar. Sci. J. Cons. 66, 991–997 (2009). doi:10.1093/icesjms/fsp092
Soria, M., Fréon, P., Gerlotto, F.: Analysis of vessel influence on spatial behaviour of fish schools using a multi-beam sonar and consequences for biomass estimates by echo-sounder. ICES J. Mar. Sci. J. Cons. 53, 453–458 (1996)
Kloser, R.J., Ryan, T.E., Macaulay, G.J., Lewis, M.E.: In situ measurements of target strength with optical and model verification: a case study for blue grenadier, Macruronus novaezelandiae. ICES J. Mar. Sci. J. Cons. 68, 1986–1995 (2011)
Ryan, T.E., Kloser, R.J., Macaulay, G.J.: Measurement and visual verification of fish target strength using an acoustic-optical system attached to a trawlnet. ICES J. Mar. Sci. J. Cons. 66, 1238–1244 (2009). doi:10.1093/icesjms/fsp122
Siwabessy, P.J.W., Penrose, J.D., Kloser, R.J., Fox, D.R.: Seabed habitat classification. In: Proceedings of the International Conference High Resolution Shallow Water, pp. 1–9 (1999)
Carrigy, M.A., Fairbridge, R.W.: Recent sedimentation, physiography and structure of the continental shelves of Western Australia. J. R. Soc. West. Aust. 38, 65–95 (1954)
Nicholson, M.D., Jennings, S.: Testing candidate indicators to support ecosystem-based management: the power of monitoring surveys to detect temporal trends in fish community metrics. ICES J. Mar. Sci. 61, 35–42 (2004). doi:10.1016/j.icesjms.2003.09.004
Acknowledgements
Data used within this study was collected through a project funded via the Australian Fisheries Research and Development Corporation (FRDC), with support from the Western Australian Department of Fisheries. A special thank you goes out to Kimberley Wildcatch and the crew of Carolina M., Adam and Alison Masters for their support and help during the data collection process. All data were collected according to the Australian Code of Practice for the care and use of animals for scientific purposes.
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Gastauer, S., Scoulding, B. & Parsons, M. An Unsupervised Acoustic Description of Fish Schools and the Seabed in Three Fishing Regions Within the Northern Demersal Scalefish Fishery (NDSF, Western Australia). Acoust Aust 45, 363–380 (2017). https://doi.org/10.1007/s40857-017-0100-0
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DOI: https://doi.org/10.1007/s40857-017-0100-0