2019
DOI: 10.1111/jfb.13917
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Blacktip shark Carcharhinus limbatus presence at fishing piers in South Carolina: association and environmental drivers

Abstract: We tagged 12 Carcharhinus limbatus with acoustic transmitters and monitored their presence at five piers along the north‐east coast of South Carolina, USA in 2016 and four piers in 2017 using acoustic receivers. Data were analysed with pier association indices (PAI), mixed models and fast Fourier transformation analyses to identify potential factors related to residence time and presence at piers and any cyclical patterns in visits to piers. While the majority of monitored C. limbatus were infrequently detecte… Show more

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Cited by 8 publications
(9 citation statements)
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“…In southern Mozambique bull and oceanic blacktip sharks principally forage on large teleost species (e.g., Caranx spp.) which are known to congregate around inshore reef systems 14,18,24 . The detections that we recorded may indicate that both sharks forage on inshore reefs during rising tides 14,18,24 .…”
Section: Discussionmentioning
confidence: 99%
“…In southern Mozambique bull and oceanic blacktip sharks principally forage on large teleost species (e.g., Caranx spp.) which are known to congregate around inshore reef systems 14,18,24 . The detections that we recorded may indicate that both sharks forage on inshore reefs during rising tides 14,18,24 .…”
Section: Discussionmentioning
confidence: 99%
“…Fitzpatrick et al, 2011; Heinrich et al, 2021; Mitchell et al, 2020). Sharks can also associate a splash in the water with feeding (Martin et al, 2019), so could have mistakenly identified the splash of a person jumping into the water with food being thrown from a boat. Moreover, the presence of other sharks can increase competition and aggression (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…A binomial General Linear Model (R function “glm”, specifying “family = binomial”; R Development Core Team, 2018) was fit in R using maximum likelihood estimation to determine whether current speed, water level, and time of day were predictors of sturgeon hourly presence at the FORCE sites (Zuur et al, 2009). Sturgeon days were split into one‐hour periods, and the detection of a sturgeon during a one‐hour period was modelled as a binary response (1: sturgeon presence; 0: sturgeon absence; Martin et al, 2019). Collinearity was assessed using Spearmen's rank correlation tests; correlations between variables did not exceed 0.5 thus all variables were retained during model selection (Hollensead et al, 2018).…”
Section: Methodsmentioning
confidence: 99%