Abstract

Understanding how mobile, marine predators use three-dimensional space over time is central to inform management and conservation actions. Combining tracking technologies can yield powerful datasets over multiple spatio-temporal scales to provide critical information for these purposes. For the white shark (Carcharodon carcharias), detailed movement and migration information over ontogeny, including inter- and intra-annual variation in timing of movement phases, is largely unknown in the western North Atlantic (WNA), a relatively understudied area for this species. To address this need, we tracked 48 large juvenile to adult white sharks between 2012 and 2020, using a combination of satellite-linked and acoustic telemetry. Overall, WNA white sharks showed repeatable and predictable patterns in horizontal movements, although there was variation in these movements related to sex and size. While most sharks undertook an annual migratory cycle with the majority of time spent over the continental shelf, some individuals, particularly adult females, made extensive forays into the open ocean as far east as beyond the Mid-Atlantic Ridge. Moreover, increased off-shelf use occurred with body size even though migration and residency phases were conserved. Summer residency areas included coastal Massachusetts and portions of Atlantic Canada, with individuals showing fidelity to specific regions over multiple years. An autumn/winter migration occurred with sharks moving rapidly south to overwintering residency areas in the southeastern United States Atlantic and Gulf of Mexico, where they remained until the following spring/summer. While broad residency and migration periods were consistent, migratory timing varied among years and among individuals within years. White sharks monitored with pop-up satellite-linked archival tags made extensive use of the water column (0–872 m) and experienced a broad range of temperatures (−0.9 – 30.5°C), with evidence for differential vertical use based on migration and residency phases. Overall, results show dynamic inter- and intra-annual three-dimensional patterns of movements conserved within discrete phases. These results demonstrate the value of using multiple tag types to track long-term movements of large mobile species. Our findings expand knowledge of the movements and migration of the WNA white shark population and comprise critically important information to inform sound management strategies for the species.

Highlights

  • The movements of individual animals over time and space have profound impacts on animal ecology at all levels from the individual to the ecosystem (Nathan et al, 2008; Earl and Zollner, 2017)

  • The specific aims of the study were to: (1) quantify residency and migratory phases of western North Atlantic (WNA) white sharks over an annual cycle; (2) compare movement and migration patterns by size and sex while proposing potential drivers of movement; (3) examine variation in individual-level movement patterns across multiple years and determine the extent of fidelity or philopatric behavior to identified residency sites; (4) describe vertical behavior and variation associated with residency and migratory phases; and (5) propose a model of white shark population-level movements in the WNA that is consistent with their life history and accounts for ontogenetic and sex-specific differences in movement

  • White sharks in the WNA are dynamic in their use of space, yet trends in their space use are consistent across age classes, with a rapid expansion of latitudinal range early in life that is conserved through to adulthood

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Summary

Introduction

The movements of individual animals over time and space have profound impacts on animal ecology at all levels from the individual to the ecosystem (Nathan et al, 2008; Earl and Zollner, 2017). While population-level movement may appear predictable, certain species can show variability in migration timing among individuals and across years as a result of the dynamic environment they inhabit and their individual physiological needs (Brodersen et al, 2012; Fraser et al, 2019; Bauer et al, 2020). Gaining a thorough understanding of a species’ ecology requires multi-faceted long-term telemetry datasets from individual animals across and within multiple life stages (Speed et al, 2010; Hussey et al, 2015). This assessment requires data over multiple years to capture individual and population-level variation in animal movements, to accurately inform measures for spatial and temporal management

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