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Network analysis of acoustic tracking data reveals the structure and stability of fish aggregations in the ocean

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Stehfest, KM and Patterson, TA and Dagorn, L and Holland, KN and Itano, D and Semmens, JM (2013) Network analysis of acoustic tracking data reveals the structure and stability of fish aggregations in the ocean. Network analysis of acoustic tracking data reveals the structure and stability of fish aggregations in the ocean, 85 (4). pp. 839-848. ISSN 0003-3472

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Abstract

Aggregations in the distribution of individuals are an almost universal phenomenon in living organisms.
Groups of animals that display collective coordinated movement without forming stable social bonds
such as fish schools are a special type of aggregation. In tropical tuna fisheries, aggregating behaviour is
directly exploited through the use of artificial fish aggregating devices (FADs). Hence, understanding the
dynamics of schooling behaviour and the potential impacts of FADs upon it may have ramifications for
tuna management. As a novel way of quantifying spatiotemporal co-occurrences of animals, we applied
network statistics to acoustic tracking data to identify the co-occurrences of individual yellowfin tuna,
Thunnus albacares, in an array of FADs and determine the frequency and temporal dynamics of these
co-occurrences. We observed large interannual variation in movement rates of tuna between FADs, and
corresponding interannual variability in the mean number of spatiotemporal associates for each individual
as well as the temporal stability of associations. When movement rates were high, associations
within FAD aggregations decayed to randomness three times faster than when movement rates were
lower. This raises the possibility that if FADs are sufficiently close for fish to perform frequent between-
FAD movements, school mixing may be increased and cohesion reduced.

Item Type: Article
Keywords: acoustic tagging aggregation association collective motion co-occurrence fishery Hawai’i network analysis Thunnus albacares yellowfin tuna
Journal or Publication Title: Network analysis of acoustic tracking data reveals the structure and stability of fish aggregations in the ocean
Page Range: pp. 839-848
ISSN: 0003-3472
Identification Number - DOI: 10.1016/j.anbehav.2013.02.003
Additional Information:

Copyright 2013 Elsevier

Date Deposited: 20 Jan 2014 01:11
Last Modified: 18 Nov 2014 04:57
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