Species identification of small pelagic fish schools by means of hydroacoustics in the Eastern Mediterranean Sea

被引:10
|
作者
Tsagarakis, K. [1 ,2 ]
Giannoulaki, M. [1 ]
Pyrounaki, M. [1 ]
Machias, A. [1 ]
机构
[1] Hellen Ctr Marine Res, Inst Marine Biol Resources & Inland Waters, Athens, Greece
[2] Univ Crete, Dept Biol, Iraklion, Greece
来源
MEDITERRANEAN MARINE SCIENCE | 2015年 / 16卷 / 01期
关键词
Schooling behaviour; hydroacoustics; school descriptors; discriminant function analysis; MEDIAS survey; SARDINE SARDINA-PILCHARDUS; ANCHOVY ENGRAULIS-ENCRASICOLUS; NORTHEASTERN ATLANTIC; VERTICAL-DISTRIBUTION; SPATIAL STRUCTURE; VARIABILITY; CLASSIFICATION; BEHAVIOR; HABITAT; DESCRIPTORS;
D O I
10.12681/mms.799
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Reliable biomass estimates by means of hydroacoustics largely depend on the correct identification of acoustic targets. Data collected during five summer acoustic surveys (2004-2008) in the North Aegean Sea (Greece) were analyzed to explore effective discrimination of small pelagic fish schools according to the species they belong. Discriminant Function Analyses (DFA) using bathymetric, energetic and morphometric school descriptors as explanatory variables were applied per research cruise as well as to pooled data from all surveys. Results revealed that the schools can be successfully classified into the five species considered (anchovy Engraulis encrasicolus, sardine Sardina pilchardus, round sardinella Sardinella aurita, blue whiting Micromessistius poutassou, and Atlantic mackerel Scomber scombrus). The percentage of correct classifications in terms of number of schools was higher in the analyses of the annual cruises (75.6%-95.36%) than in the analysis of pooled data (approximate to 72%). This is because of (i) the lower number of species, as well as (ii) the reduced intraspecific variability, occurring in each separate cruise. Significant differences were detected among school descriptors for the different species, revealing discrete aspects of schooling behaviour for each species. The benefit of the specific approach is that the classification functions of the DFAs can be used to classify a larger set of schools, which has not been possible to assign to specific species. Overall the approach constitutes an objective, more automated and less time consuming procedure for the analysis of acoustic data and can contribute to the improvement of biomass estimates in the area.
引用
收藏
页码:151 / 161
页数:11
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