作者: Sven Gastauer , Ben Scoulding , Miles Parsons
DOI: 10.1007/S40857-017-0100-0
关键词: Fisheries acoustics 、 Triggerfish 、 Seabed 、 Geology 、 Fishery 、 Cluster (physics) 、 Fishing 、 Bathymetry 、 Indicator species 、 Demersal zone
摘要: Fisheries acoustics is now a standard tool for monitoring marine organisms. Another use of active-acoustics techniques the potential to qualitatively describe fish school and seafloor characteristics or distribution density hotspots. Here, we geostatistical approach acoustic hotspots within three fishing regions Northern Demersal Scalefish Fishery in Western Australia. This revealed patchy regions, covering almost half total areas. Energetic, geometric bathymetric descriptors acoustically identified schools were clustered using robust sparse k-means clustering with Clest algorithm determine ideal number clusters. Identified clusters mainly defined by energetic component school. Seabed considered depth, roughness, first bottom length, maximum Sv, kurtosis, skewness rise time. The (maximisation rule D-Index, Hubert Score Weighted Sum Squares), following majority rule, was three. Cluster 1 (mainly driven depth) sole type present Region 1, 2 roughness Sv) dominated 3, while split up equally between 3. Detection indicator species seabed that selected could be related biological information. Goldband snapper miscellaneous indicators 1; Cods, Lethrinids, Red Emperor other Lutjanids linked 2, Rankin Cod Triggerfish