Details:

Journal Title:
Scientific Reports
Personal Author:
Capello, M. ; Deneubourg, J. L. ; Robert, M. ; Holland, K. R. ; Schaefer, K. M. ; ... More +
Capello, M. ; Deneubourg, J. L. ; Robert, M. ; Holland, K. R. ; Schaefer, K. M. ; Dagorn, L. Less -
NOAA Program & Office:
JIMAR (Joint Institute for Marine and Atmospheric Research)
Description:
Estimating the abundance of pelagic fish species is a challenging task, due to their vast and remote habitat. Despite the development of satellite, archival and acoustic tagging techniques that allow the tracking of marine animals in their natural environments, these technologies have so far been underutilized in developing abundance estimations. We developed a new method for estimating the abundance of tropical tuna that employs these technologies and exploits the aggregative behavior of tuna around floating objects (FADs). We provided estimates of abundance indices based on a simulated set of tagged fish and studied the sensitivity of our method to different association dynamics, FAD numbers, population sizes and heterogeneities of the FAD-array. Taking the case study of yellowfin tuna (Thunnus albacares) acoustically-tagged in Hawaii, we implemented our approach on field data and derived for the first time the ratio between the associated and the total population. With more extensive and long-term monitoring of FAD-associated tunas and good estimates of the numbers of fish at FADs, our method could provide fisheries-independent estimates of populations of tropical tuna. The same approach can be applied to obtain population assessments for any marine and terrestrial species that display associative behavior and from which behavioral data have been acquired using acoustic, archival or satellite tags.
Keywords:
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Animal Behavior Animal Populations Yellowfin Tuna
Source:
Scientific Reports 6 (36415)
DOI:
https://doi.org/10.1038/srep36415
Pubmed Central ID:
PMC5093414
Document Type:
Journal Article
Funding:
Grant no. NA17RS1230
Place as Subject:
Hawaii
Rights Information:
CC BY
Compliance:
PMC
Main Document Checksum:
[+]
urn:sha256:259f892de8c81c4d9e79a3190f812bb03d55e73a973ed904bb18ccb5ba3176c0
Download URL:
https://repository.library.noaa.gov/view/noaa/24073/noaa_24073_DS1.pdf
File Type:

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