+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Observing individual fish behavior in fish aggregations: tracking in dense fish aggregations using a split-beam echosounder



Observing individual fish behavior in fish aggregations: tracking in dense fish aggregations using a split-beam echosounder



Journal of the Acoustical Society of America 122(1): 177-187



Acoustic instruments are important tools for observing the behavior of aquatic organisms. This paper presents a simple but efficient method for improving the tracking of closely spaced targets using a split-beam echosounder. The traditional method has been a stepwise approach from the detection of echoes, rejection of apparently multiple targets and then tracking the remainder. This is inefficient because the split-beam angles are not included in the initial detection; rather they are only used in the rejection criteria before the subsequent tracking. A simple track-before-detection method is presented, where the phase angles, echo intensities, ranges, and times are used simultaneously, resulting in better detection and tracking of the individual fish. Two test data sets were analyzed to determine the effectiveness of this method at discriminating individual tracks from within dense fish aggregations. The first data set was collected by lowering a split-beam transducer into a herring layer. The second data set, also collected with a split-beam transducer, was from a caged aggregation of feeding herring larvae. Results indicate the potential of target tracking, using a split-beam echosounder, as a tool for understanding interindividual behavior.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 016530862

Download citation: RISBibTeXText

PMID: 17614477

DOI: 10.1121/1.2739421


Related references

Effect of current and daylight variations on small-pelagic fish aggregations Selar crumenophthalmus around a coastal fish aggregating device studied by fine-scale acoustic tracking. Aquatic Living Resources 26(1): 63-68, 2013

Estimation and compensation models for the shadowing effect in dense fish aggregations. ICES Journal of: 155-163, 2003

Tracking individual fish from a moving platform using a split-beam transducer. Journal of the Acoustical Society of America 118(4): 2210-2223, 2005

Extensive aggregations of wild fish at coastal sea-cage fish farms. Hydrobiologia 525(1-3): 245-248, 2004

Extensive aggregations of wild fish at coastal sea-cage fish farms. Hydrobiologia ember; 525(1-3): 245-248, 2004

Hydroacoustic fish stock assessment in the presence of dense aggregations of Chaoborus larvae. Canadian Journal of Fisheries and Aquatic Sciences 62(2): 245-249, 2005

Changes in demersal wild fish aggregations beneath a sea-cage fish farm after the cessation of farming. Journal of Fish Biology 69(3): 682-697, 2006

Changes in demersal wild fish aggregations beneath a sea-cage fish farm after the cessation of farming. Journal of Fish Biology ember; 69(3): 682-697, 2006

Echotrace classification and spatial distribution of pelagic fish aggregations around drifting fish aggregating devices (Dfad). Aquatic Living Resources 20(4): 343-356, 2007

Acoustic characterisation of pelagic fish aggregations around moored fish aggregating devices in Martinique Lesser Antilles. Fisheries Research 82(1-3): 162-175, 2000

Feeding activity strongly affects the variability of wild fish aggregations within fish farms a sea bream farm as a case study. Aquaculture Research, 2013

Joint use of echosounding, fishing and video techniques to assess the structure of fish aggregations around moored Fish Aggregating Devices in Martinique (Lesser Antilles). Aquatic Living Resources 20(4): 357-366, 2007

In situ swimming behaviour of individual mesopelagic fish studied by split-beam echo target tracking. ICES Journal of: 346-354, 2001

Network analysis of acoustic tracking data reveals the structure and stability of fish aggregations in the ocean. Animal Behaviour 85(4): 839-848, 2013

Patterns in tidal migration of fish in a Brazilian mangrove channel as revealed by a split-beam echosounder. Fisheries Research Amsterdam ember; 70(1): 1-15, 2004