2022
DOI: 10.1002/eap.2584
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Predator–prey landscapes of large sharks and game fishes in the Florida Keys

Abstract: Interspecific interactions can play an essential role in shaping wildlife populations and communities. To date, assessments of interspecific interactions, and more specifically predator-prey dynamics, in aquatic systems over broad spatial and temporal scales (i.e., hundreds of kilometers and multiple years) are rare due to constraints on our abilities to measure effectively at those scales. We applied new methods to identify space-use overlap and potential predation risk to Atlantic tarpon (Megalops atlanticus… Show more

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citations
Cited by 11 publications
(17 citation statements)
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References 123 publications
(140 reference statements)
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“…These species and others ( e.g ., M. atlanticus and T. falcatus ; Griffin et al ., 2022) co‐occur within the horizontal and vertical distribution observed for the S. mokarran in this study; therefore, such high use of shallow depths may reflect targeting these prey species. Although it is not possible with these vertical space use data to confirm if the shallow depths occupied by these sharks were in shallow water versus deepwater (but at the surface), capture and pop‐off location of these tags and seasonal residency of S. mokarran to acoustic receiver arrays in the Florida Keys, Biscayne Bay and Bimini, The Bahamas, support the former (Griffin et al ., 2022; Guttridge et al ., 2017). The findings of this study align with previous research documenting predominant shallow depth use by S. mokarran ( e.g ., Drymon & Wells, 2017; Hueter & Manire, 1994) but across a broader scale.…”
Section: Discussionsupporting
confidence: 59%
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“…These species and others ( e.g ., M. atlanticus and T. falcatus ; Griffin et al ., 2022) co‐occur within the horizontal and vertical distribution observed for the S. mokarran in this study; therefore, such high use of shallow depths may reflect targeting these prey species. Although it is not possible with these vertical space use data to confirm if the shallow depths occupied by these sharks were in shallow water versus deepwater (but at the surface), capture and pop‐off location of these tags and seasonal residency of S. mokarran to acoustic receiver arrays in the Florida Keys, Biscayne Bay and Bimini, The Bahamas, support the former (Griffin et al ., 2022; Guttridge et al ., 2017). The findings of this study align with previous research documenting predominant shallow depth use by S. mokarran ( e.g ., Drymon & Wells, 2017; Hueter & Manire, 1994) but across a broader scale.…”
Section: Discussionsupporting
confidence: 59%
“…Additionally, blacktip sharks Carcharhinus limbatus (J. P. Müller & Henle, 1839) form aggregations along the coastline in shallow waters during the winter months in Florida(Kajiura & Tellman, 2016;Doan & Kajiura, 2020). These species and others (e.g., M. atlanticus and T. falcatus;Griffin et al, 2022) co-occur within the horizontal and vertical distribution observed for the S. mokarran in this study; therefore, such high use of shallow depths may reflect targeting these prey species. Although it is not possible with these vertical space use data to confirm if the shallow depths occupied by these sharks were in shallow water versus deepwater (but at the surface), capture and pop-off location of these tags and seasonal residency of S. mokarran to acoustic receiver arrays in the Florida Keys, Biscayne…”
supporting
confidence: 69%
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“…The fine-scale co-occurrences of individuals, whether between conspecifics as mutually beneficial social affiliations, or between predator and prey species as direct interactions and displacements, are an important factor that can strongly influence population dynamics and/or spatial distributions of species (Morueta-Holme et al, 2016). The encounter rates of Atlantic tarpon (Megalops atlanticus) with predatory bull (Carcharhinus leucas) and great hammerhead (Sphyrna mokarran) sharks in the Florida Keys for instance, were elevated at specific locations and prior to spawning aggregation behaviour, a result identified using machine learning to quantify spatio-temporal overlap in multi-species AT tracking data (Griffin et al, 2022). To truly understand fine-scale interactions and associations, however, requires direct measurement rather than inference methods, and at a precise and known spatial scale (Aspillaga et al, 2021;Mourier et al, 2017).…”
Section: Fine-scale Social Associations and Trophic Interactionsmentioning
confidence: 99%