Predicting the spatio‐temporal distributions of pelagic sharks in the western and central North Pacific

Spatio‐temporal modeling estimates a species distribution function that represents variation in population density over space and time. Recent studies show that the approach may precisely identify spatial hotspots in species distribution, but have not addressed whether seasonal hotspots are identifi...

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Published inFisheries oceanography Vol. 26; no. 5; pp. 569 - 582
Main Authors Kai, Mikihiko, Thorson, James T., Piner, Kevin R., Maunder, Mark N.
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 01.09.2017
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Abstract Spatio‐temporal modeling estimates a species distribution function that represents variation in population density over space and time. Recent studies show that the approach may precisely identify spatial hotspots in species distribution, but have not addressed whether seasonal hotspots are identifiable using commonly available fishery data. In this study, we analyzed the seasonal spatio‐temporal distribution of pelagic sharks in the western and central North Pacific using fishery catch rates and a generalized linear mixed model with spatio‐temporal effects. Different spatial distribution patterns were observed between two shark species. The hotspots of shortfin mako (SFM) appeared in the vicinity of the coastal and offshore waters of Japan and the Kuroshio‐Oyashio transition zone (TZ), whereas the hotspots of blue shark (BSH) were widely distributed in the areas from the TZ to the waters of the Emperor Seamount Chain. Shortfin mako distribution changes seasonally with clear north‐south movement, which follows higher sea surface temperatures (SST). However, preferred spring and summer water temperature was still colder than those in fall and winter, but not as cold as for BSH, which did not show seasonal north‐south movement. BSH exhibits seasonal east‐west movement apparently unrelated to temperature. The spatial fishing effort by season generally follows the seasonal movement of temperature possibly making SFM more vulnerable to the fishery than BSH. These findings could be used to reduce the capture risk of bycatch sharks and to better manage the spatial distribution of fishing for targeted sharks.
AbstractList Spatio‐temporal modeling estimates a species distribution function that represents variation in population density over space and time. Recent studies show that the approach may precisely identify spatial hotspots in species distribution, but have not addressed whether seasonal hotspots are identifiable using commonly available fishery data. In this study, we analyzed the seasonal spatio‐temporal distribution of pelagic sharks in the western and central North Pacific using fishery catch rates and a generalized linear mixed model with spatio‐temporal effects. Different spatial distribution patterns were observed between two shark species. The hotspots of shortfin mako (SFM) appeared in the vicinity of the coastal and offshore waters of Japan and the Kuroshio‐Oyashio transition zone (TZ), whereas the hotspots of blue shark (BSH) were widely distributed in the areas from the TZ to the waters of the Emperor Seamount Chain. Shortfin mako distribution changes seasonally with clear north‐south movement, which follows higher sea surface temperatures (SST). However, preferred spring and summer water temperature was still colder than those in fall and winter, but not as cold as for BSH, which did not show seasonal north‐south movement. BSH exhibits seasonal east‐west movement apparently unrelated to temperature. The spatial fishing effort by season generally follows the seasonal movement of temperature possibly making SFM more vulnerable to the fishery than BSH. These findings could be used to reduce the capture risk of bycatch sharks and to better manage the spatial distribution of fishing for targeted sharks.
Abstract Spatio‐temporal modeling estimates a species distribution function that represents variation in population density over space and time. Recent studies show that the approach may precisely identify spatial hotspots in species distribution, but have not addressed whether seasonal hotspots are identifiable using commonly available fishery data. In this study, we analyzed the seasonal spatio‐temporal distribution of pelagic sharks in the western and central North Pacific using fishery catch rates and a generalized linear mixed model with spatio‐temporal effects. Different spatial distribution patterns were observed between two shark species. The hotspots of shortfin mako ( SFM ) appeared in the vicinity of the coastal and offshore waters of Japan and the Kuroshio‐Oyashio transition zone ( TZ ), whereas the hotspots of blue shark ( BSH ) were widely distributed in the areas from the TZ to the waters of the Emperor Seamount Chain. Shortfin mako distribution changes seasonally with clear north‐south movement, which follows higher sea surface temperatures ( SST ). However, preferred spring and summer water temperature was still colder than those in fall and winter, but not as cold as for BSH , which did not show seasonal north‐south movement. BSH exhibits seasonal east‐west movement apparently unrelated to temperature. The spatial fishing effort by season generally follows the seasonal movement of temperature possibly making SFM more vulnerable to the fishery than BSH . These findings could be used to reduce the capture risk of bycatch sharks and to better manage the spatial distribution of fishing for targeted sharks.
Author Kai, Mikihiko
Piner, Kevin R.
Maunder, Mark N.
Thorson, James T.
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– ident: e_1_2_6_20_1
  doi: 10.1093/icesjms/fsr210
– ident: e_1_2_6_22_1
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Snippet Spatio‐temporal modeling estimates a species distribution function that represents variation in population density over space and time. Recent studies show...
Abstract Spatio‐temporal modeling estimates a species distribution function that represents variation in population density over space and time. Recent studies...
Spatio-temporal modeling estimates a species distribution function that represents variation in population density over space and time. Recent studies show...
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SubjectTerms blue shark
Bycatch
Chain mobility
Coastal waters
Distribution patterns
Fisheries
Fishery data
Fishing
Fishing effort
Hot spots
hotspots
Marine fishes
Modelling
Offshore
Population density
Prionace glauca
Risk management
Sea surface
Sea surface temperature
Seamount chains
Seamounts
Seasonal distribution
Seasons
Sharks
shortfin mako
Spatial distribution
spatio‐temporal distribution
spatio‐temporal model
Species
Spring
Temperature effects
template model builder
Temporal distribution
Transition zone
Water temperature
Title Predicting the spatio‐temporal distributions of pelagic sharks in the western and central North Pacific
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Ffog.12217
https://www.proquest.com/docview/1925514287
Volume 26
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