Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic

Abstract MacNeil, M. A., Carlson, J. K., and Beerkircher, L. R. 2009. Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic. – ICES Journal of Marine Science, 66: 708–719. A suite of modelling approaches was employed to analyse shark depredation rates from t...

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Published in:ICES Journal of Marine Science
Main Authors: MacNeil, M. Aaron, Carlson, John K., Beerkircher, Lawrence R.
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2009
Subjects:
Online Access:http://dx.doi.org/10.1093/icesjms/fsp022
http://academic.oup.com/icesjms/article-pdf/66/4/708/29132122/fsp022.pdf
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spelling croxfordunivpr:10.1093/icesjms/fsp022 2024-06-09T07:48:38+00:00 Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic MacNeil, M. Aaron Carlson, John K. Beerkircher, Lawrence R. 2009 http://dx.doi.org/10.1093/icesjms/fsp022 http://academic.oup.com/icesjms/article-pdf/66/4/708/29132122/fsp022.pdf en eng Oxford University Press (OUP) ICES Journal of Marine Science volume 66, issue 4, page 708-719 ISSN 1095-9289 1054-3139 journal-article 2009 croxfordunivpr https://doi.org/10.1093/icesjms/fsp022 2024-05-10T13:16:27Z Abstract MacNeil, M. A., Carlson, J. K., and Beerkircher, L. R. 2009. Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic. – ICES Journal of Marine Science, 66: 708–719. A suite of modelling approaches was employed to analyse shark depredation rates from the US Atlantic pelagic longline fishery. As depredation events are relatively rare, there are a large number of zeroes in pelagic longline data and conventional generalized linear models (GLMs) may be ineffective as tools for statistical inference. GLMs (Poisson and negative binomial), two-part (delta-lognormal and truncated negative binomial, T-NB), and mixture models (zero-inflated Poisson, ZIP, and zero-inflated negative binomial, ZINB) were used to understand the factors that contributed most to the occurrence of depredation events that included a small proportion of whale damage. Of the six distribution forms used, only the ZIP and T-NB models performed adequately in describing depredation data, and the T-NB and ZINB models outperformed the ZIP models in bootstrap cross-validation estimates of prediction error. Candidate T-NB and ZINB model results showed that encounter probabilities were more strongly related to large-scale covariates (space, season) and that depredation counts were correlated with small-scale characteristics of the fishery (temperature, catch composition). Moreover, there was little evidence of historical trends in depredation rates. The results show that the factors contributing to most depredation events are those already controlled by ships' captains and, beyond novel technologies to repel sharks, there may be little more to do to reduce depredation loss in the fishery within current economic and operational constraints. Article in Journal/Newspaper Northwest Atlantic Oxford University Press ICES Journal of Marine Science 66 4 708 719
institution Open Polar
collection Oxford University Press
op_collection_id croxfordunivpr
language English
description Abstract MacNeil, M. A., Carlson, J. K., and Beerkircher, L. R. 2009. Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic. – ICES Journal of Marine Science, 66: 708–719. A suite of modelling approaches was employed to analyse shark depredation rates from the US Atlantic pelagic longline fishery. As depredation events are relatively rare, there are a large number of zeroes in pelagic longline data and conventional generalized linear models (GLMs) may be ineffective as tools for statistical inference. GLMs (Poisson and negative binomial), two-part (delta-lognormal and truncated negative binomial, T-NB), and mixture models (zero-inflated Poisson, ZIP, and zero-inflated negative binomial, ZINB) were used to understand the factors that contributed most to the occurrence of depredation events that included a small proportion of whale damage. Of the six distribution forms used, only the ZIP and T-NB models performed adequately in describing depredation data, and the T-NB and ZINB models outperformed the ZIP models in bootstrap cross-validation estimates of prediction error. Candidate T-NB and ZINB model results showed that encounter probabilities were more strongly related to large-scale covariates (space, season) and that depredation counts were correlated with small-scale characteristics of the fishery (temperature, catch composition). Moreover, there was little evidence of historical trends in depredation rates. The results show that the factors contributing to most depredation events are those already controlled by ships' captains and, beyond novel technologies to repel sharks, there may be little more to do to reduce depredation loss in the fishery within current economic and operational constraints.
format Article in Journal/Newspaper
author MacNeil, M. Aaron
Carlson, John K.
Beerkircher, Lawrence R.
spellingShingle MacNeil, M. Aaron
Carlson, John K.
Beerkircher, Lawrence R.
Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic
author_facet MacNeil, M. Aaron
Carlson, John K.
Beerkircher, Lawrence R.
author_sort MacNeil, M. Aaron
title Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic
title_short Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic
title_full Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic
title_fullStr Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic
title_full_unstemmed Shark depredation rates in pelagic longline fisheries: a case study from the Northwest Atlantic
title_sort shark depredation rates in pelagic longline fisheries: a case study from the northwest atlantic
publisher Oxford University Press (OUP)
publishDate 2009
url http://dx.doi.org/10.1093/icesjms/fsp022
http://academic.oup.com/icesjms/article-pdf/66/4/708/29132122/fsp022.pdf
genre Northwest Atlantic
genre_facet Northwest Atlantic
op_source ICES Journal of Marine Science
volume 66, issue 4, page 708-719
ISSN 1095-9289 1054-3139
op_doi https://doi.org/10.1093/icesjms/fsp022
container_title ICES Journal of Marine Science
container_volume 66
container_issue 4
container_start_page 708
op_container_end_page 719
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