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Biogeophysical and physiological processes drive movement patterns in a marine predator

Overview of attention for article published in Movement Ecology, July 2017
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Title
Biogeophysical and physiological processes drive movement patterns in a marine predator
Published in
Movement Ecology, July 2017
DOI 10.1186/s40462-017-0107-z
Pubmed ID
Authors

Lucy A. Howey, Bradley M. Wetherbee, Emily R. Tolentino, Mahmood S. Shivji

Abstract

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. 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. 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 17%
Student > Master 15 15%
Researcher 14 14%
Student > Bachelor 12 12%
Student > Doctoral Student 6 6%
Other 16 16%
Unknown 22 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 39%
Environmental Science 15 15%
Earth and Planetary Sciences 7 7%
Unspecified 3 3%
Business, Management and Accounting 2 2%
Other 7 7%
Unknown 29 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2017.
All research outputs
#18,566,650
of 22,996,001 outputs
Outputs from Movement Ecology
#285
of 316 outputs
Outputs of similar age
#241,118
of 314,954 outputs
Outputs of similar age from Movement Ecology
#5
of 5 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 316 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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