Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator

Background: Blue sharks (Prionace glauca) are among the most abundant and widely distributed of oceanic elasmobranchs. Millions are taken annually in pelagic longline fisheries and comprise the highest component of auctioned fin weight in the international shark fin trade. Though studies of blue sha...

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Main Author: Howey, Lucy A.
Format: Dataset
Language:English
Published: Dryad 2018
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.2qp66
http://datadryad.org/stash/dataset/doi:10.5061/dryad.2qp66
id ftdatacite:10.5061/dryad.2qp66
record_format openpolar
spelling ftdatacite:10.5061/dryad.2qp66 2023-05-15T17:37:16+02:00 Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator Howey, Lucy A. 2018 https://dx.doi.org/10.5061/dryad.2qp66 http://datadryad.org/stash/dataset/doi:10.5061/dryad.2qp66 en eng Dryad https://dx.doi.org/10.1186/s40462-017-0107-z Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 Depth Prionace glauca satellite tracking dataset Dataset 2018 ftdatacite https://doi.org/10.5061/dryad.2qp66 https://doi.org/10.1186/s40462-017-0107-z 2022-02-08T12:53:43Z Background: Blue sharks (Prionace glauca) are among the most abundant and widely distributed of oceanic elasmobranchs. Millions are taken annually in pelagic longline fisheries and comprise the highest component of auctioned fin weight in the international shark fin trade. Though studies of blue sharks outnumber those of other large pelagic sharks, the species’ complicated and sexually segregated life history still confound current understanding of Atlantic movement patterns. Lack of detailed information regarding movement and vertical behavior continues to limit management efforts that require such data for stock assessment and sustainable catch modeling. Therefore, this study aims to describe behavioral and ecological patterns distinct to aggregating and migrating blue sharks, and compare the findings to existing Atlantic movement models. Results: Data collected from 23 blue sharks instrumented with pop-up satellite archival tags were used in statistical predictive regression models to investigate habitat use during a localized aggregation in the northwest Atlantic, while undergoing seasonal migrations, and with respect to environmental variables. Deployment durations ranged from 4 to 273 days, with sharks inhabiting both productive coastal waters and the open ocean, and exhibiting long-distance seasonal movements exceeding 3700 km. While aggregating on the continental shelf of the northwest Atlantic, blue sharks displayed consistent depth use independent of sex and life stage, and exhibited varied response to environmental (temperature and chlorophyll a) factors. As sharks dispersed from the aggregation site, depth use was influenced by bathymetry, latitude, demography, and presence in the Gulf Stream. Mature females were not observed at the New England tagging site, however, two mature females with recent mating wounds were captured and tagged opportunistically in The Bahamas, one of which migrated to the Mid-Atlantic Ridge. Conclusions: Vertical behaviors displayed by blue sharks varied greatly among locales; depth use off the continental shelf was significantly greater, and individuals exhibited a greater frequency of deep-diving behavior, compared to periods of aggregation on the continental shelf. Sexual segregation was evident, suggesting mature and immature males, and immature females may be subjected to high levels of anthropogenic exploitation in this region during periods of aggregation. Analysis of the spatio-temporal tracks revealed that nine individuals traveled beyond the United States EEZ, including a mature female captured in The Bahamas that migrated to the Mid-Atlantic Ridge. These results reflect and augment existing Atlantic migration models, and highlight the complex, synergistic nature of factors affecting blue shark ecology and the need for a cooperative management approach in the North Atlantic. : bluesharkDailyMaxDepthHowey2017Daily instrument-recorded maximum depths for blue sharks.BlueSharkUKFSSTHowey2017UKFSST-filtered geolocations for blue sharks.BlueSharkCombined.txtbluesharkMinMaxDailyTemperatureHowey2017Minimum and maximum instrument-recorded temperatures for blue sharks.bluesharkMinMaxDailyTemperatureHowey.txt Dataset North Atlantic Northwest Atlantic DataCite Metadata Store (German National Library of Science and Technology) Mid-Atlantic Ridge
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Depth
Prionace glauca
satellite tracking
spellingShingle Depth
Prionace glauca
satellite tracking
Howey, Lucy A.
Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator
topic_facet Depth
Prionace glauca
satellite tracking
description Background: Blue sharks (Prionace glauca) are among the most abundant and widely distributed of oceanic elasmobranchs. Millions are taken annually in pelagic longline fisheries and comprise the highest component of auctioned fin weight in the international shark fin trade. Though studies of blue sharks outnumber those of other large pelagic sharks, the species’ complicated and sexually segregated life history still confound current understanding of Atlantic movement patterns. Lack of detailed information regarding movement and vertical behavior continues to limit management efforts that require such data for stock assessment and sustainable catch modeling. Therefore, this study aims to describe behavioral and ecological patterns distinct to aggregating and migrating blue sharks, and compare the findings to existing Atlantic movement models. Results: Data collected from 23 blue sharks instrumented with pop-up satellite archival tags were used in statistical predictive regression models to investigate habitat use during a localized aggregation in the northwest Atlantic, while undergoing seasonal migrations, and with respect to environmental variables. Deployment durations ranged from 4 to 273 days, with sharks inhabiting both productive coastal waters and the open ocean, and exhibiting long-distance seasonal movements exceeding 3700 km. While aggregating on the continental shelf of the northwest Atlantic, blue sharks displayed consistent depth use independent of sex and life stage, and exhibited varied response to environmental (temperature and chlorophyll a) factors. As sharks dispersed from the aggregation site, depth use was influenced by bathymetry, latitude, demography, and presence in the Gulf Stream. Mature females were not observed at the New England tagging site, however, two mature females with recent mating wounds were captured and tagged opportunistically in The Bahamas, one of which migrated to the Mid-Atlantic Ridge. Conclusions: Vertical behaviors displayed by blue sharks varied greatly among locales; depth use off the continental shelf was significantly greater, and individuals exhibited a greater frequency of deep-diving behavior, compared to periods of aggregation on the continental shelf. Sexual segregation was evident, suggesting mature and immature males, and immature females may be subjected to high levels of anthropogenic exploitation in this region during periods of aggregation. Analysis of the spatio-temporal tracks revealed that nine individuals traveled beyond the United States EEZ, including a mature female captured in The Bahamas that migrated to the Mid-Atlantic Ridge. These results reflect and augment existing Atlantic migration models, and highlight the complex, synergistic nature of factors affecting blue shark ecology and the need for a cooperative management approach in the North Atlantic. : bluesharkDailyMaxDepthHowey2017Daily instrument-recorded maximum depths for blue sharks.BlueSharkUKFSSTHowey2017UKFSST-filtered geolocations for blue sharks.BlueSharkCombined.txtbluesharkMinMaxDailyTemperatureHowey2017Minimum and maximum instrument-recorded temperatures for blue sharks.bluesharkMinMaxDailyTemperatureHowey.txt
format Dataset
author Howey, Lucy A.
author_facet Howey, Lucy A.
author_sort Howey, Lucy A.
title Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator
title_short Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator
title_full Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator
title_fullStr Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator
title_full_unstemmed Data from: Biogeophysical and physiological processes drive movement patterns in a marine predator
title_sort data from: biogeophysical and physiological processes drive movement patterns in a marine predator
publisher Dryad
publishDate 2018
url https://dx.doi.org/10.5061/dryad.2qp66
http://datadryad.org/stash/dataset/doi:10.5061/dryad.2qp66
geographic Mid-Atlantic Ridge
geographic_facet Mid-Atlantic Ridge
genre North Atlantic
Northwest Atlantic
genre_facet North Atlantic
Northwest Atlantic
op_relation https://dx.doi.org/10.1186/s40462-017-0107-z
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.2qp66
https://doi.org/10.1186/s40462-017-0107-z
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