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dc.contributor.authorHammerschlag, N
dc.contributor.authorBroderick, Annette C.
dc.contributor.authorCoker, JW
dc.contributor.authorCoyne, MS
dc.contributor.authorDodd, M
dc.contributor.authorFrick, MG
dc.contributor.authorGodfrey, MH
dc.contributor.authorGodley, BJ
dc.contributor.authorGriffin, DBB
dc.contributor.authorHartog, K
dc.contributor.authorMurphy, SR
dc.contributor.authorMurphy, TM
dc.contributor.authorNelson, ER
dc.contributor.authorWilliams, KL
dc.contributor.authorWitt, MJ
dc.contributor.authorHawkes, LA
dc.date.accessioned2015-07-30T08:03:45Z
dc.date.issued2015-02-23
dc.description.abstractThe ‘‘landscape of fear’’ model has been proposed as a unifying concept in ecology, describing, in part, how animals behave and move about in their environment. The basic model predicts that as an animal’s landscape changes from low to high risk of predation, prey species will alter their behavior to risk avoidance. However, studies investigating and evaluating the landscape of fear model across large spatial scales (tens to hundreds of thousands of square kilometers) in dynamic, open, aquatic systems involving apex predators and highly mobile prey are lacking. To address this knowledge gap, we investigated predator–prey relationships between tiger sharks (Galeocerdo cuvier) and loggerhead turtles (Caretta caretta) in the North Atlantic Ocean. This included the use of satellite tracking to examine shark and turtle distributions as well as their surfacing behaviors under varying levels of home range overlap. Our findings revealed patterns that deviated from our a priori predictions based on the landscape of fear model. Specifically, turtles did not alter their surfacing behaviors to risk avoidance when overlap in shark–turtle core home range was high. However, in areas of high overlap with turtles, sharks exhibited modified surfacing behaviors that may enhance predation opportunity. We suggest that turtles may be an important factor in determining shark distribution, whereas for turtles, other life history trade-offs may play a larger role in defining their habitat use. We propose that these findings are a result of both biotic and physically driven factors that independently or synergistically affect predator–prey interactions in this system. These results have implications for evolutionary biology, community ecology, and wildlife conservation. Further, given the difficulty in studying highly migratory marine species, our approach and conclusions may be applied to the study of other predator–prey systems.en_GB
dc.description.sponsorshipBald Head Island Conservancyen_GB
dc.description.sponsorshipBritish Chelonia Groupen_GB
dc.description.sponsorshipNatural Environmental Research Councilen_GB
dc.description.sponsorshipWAVE Foundation/Newport Aquarium Cincinnatien_GB
dc.description.sponsorshipPADI project AWAREen_GB
dc.description.sponsorshipSEATURTLE.ORGen_GB
dc.description.sponsorshipWhitener Foundation (NC); an Endangered Species Act Section 6 Cooperative Agreement with NOAA Fisheries and the Grays Reef National Marine Sanctuary (South Carolina and Georgia)en_GB
dc.description.sponsorshipBatchelor Foundationen_GB
dc.description.sponsorshipDinsey Conservation Funden_GB
dc.identifier.citationEcology, 2015, 96 (8), pp. 2117–2126en_GB
dc.identifier.doi10.1890/14-2113.1
dc.identifier.urihttp://hdl.handle.net/10871/17981
dc.language.isoenen_GB
dc.publisherEcological Society of Americaen_GB
dc.relation.urlhttp://www.esajournals.org/doi/abs/10.1890/14-2113.1en_GB
dc.rights© 2015 by the Ecological Society of Americaen_GB
dc.titleEvaluating the landscape of fear between apex predatory sharks and mobile sea turtles across a large dynamic seascapeen_GB
dc.typeArticleen_GB
dc.date.available2015-07-30T08:03:45Z
dc.identifier.issn0012-9658
dc.identifier.journalEcologyen_GB


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