Abstract

Oceanic currents are known to broadly shape the dispersal of juvenile sea turtles during their pelagic stage. Accordingly, simple passive drift models are widely used to investigate the distribution at sea of various juvenile sea turtle populations. However, evidence is growing that juveniles do not drift purely passively but also display some swimming activity likely directed towards favorable habitats. We therefore present here a novel Sea Turtle Active Movement Model (STAMM) in which juvenile sea turtles actively disperse under the combined effects of oceanic currents and habitat-driven movements. This model applies to all sea turtle species but is calibrated here for leatherback turtles (Dermochelys coriacea). It is first tested in a simulation of the active dispersal of juveniles originating from Jamursba-Medi, a main nesting beach of the western Pacific leatherback population. Dispersal into the North Pacific Ocean is specifically investigated. Simulation results demonstrate that, while oceanic currents broadly shape the dispersal area, modeled habitat-driven movements strongly structure the spatial and temporal distribution of juveniles within this area. In particular, these movements lead juveniles to gather in the North Pacific Transition Zone (NPTZ) and to undertake seasonal north-south migrations. More surprisingly, juveniles in the NPTZ are simulated to swim mostly towards west which considerably slows down their progression towards the American west coast. This increases their residence time, and hence the risk of interactions with fisheries, in the central and eastern part of the North Pacific basin. Simulated habitat-driven movements also strongly reduce the risk of cold-induced mortality. This risk appears to be larger among the juveniles that rapidly circulate into the Kuroshio than among those that first drift into the North Equatorial Counter Current (NECC). This mechanism might induce marked interannual variability in juvenile survival as the strength and position of the NECC are directly linked to El Niño activity.

Highlights

  • Satellite tracking has uncovered the dispersal patterns of various adult sea turtle populations but, this is not the case for hatchlings and juveniles [1]

  • This paper introduces Sea Turtle Active Movement Model (STAMM), a new Individual Based Models (IBM) simulating the dispersal of juvenile sea turtles under the combined effects of simulated oceanic currents and habitat-driven movements

  • It remains quite simple as information is still scarce concerning juveniles’ swimming activity, thermal biology and food requirements

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Summary

Introduction

Satellite tracking has uncovered the dispersal patterns of various adult sea turtle populations but, this is not the case for hatchlings and juveniles [1]. Most models assume that juveniles drift passively with ocean currents [6]. They are simple Individual Based Models (IBM) in which trajectories of thousands of particles, each representing a single individual, are simulated using readily available Lagrangian particle-tracking software fed with surface currents produced by ocean circulation models. These trajectories are used to characterize the spatial distribution of the studied population and its evolution with time, e.g. These trajectories are used to characterize the spatial distribution of the studied population and its evolution with time, e.g. [7,8,9,10,11]

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