ArticlePloS one2017
A model for simulating the active dispersal of juvenile sea turtles with a case study on western Pacific leatherback turtles.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Pioneering insights into the diving behavior of early-stage sea turtles revealed by novel marine miniaturized satellite tags.Scientific reports · 2026Article
- Swim, baby, swim: the active dispersal scenario of juvenile North Pacific loggerhead turtles revealed by historical satellite tracking data and novel operational oceanography products.Movement ecology · 2025Article
- Simulating drifting fish aggregating device trajectories to identify potential interactions with endangered sea turtles.Conservation biology : the journal of the Society for Conservation Biology · 2024Article
- Natal Origin and Spatiotemporal Distribution of Leatherback Turtle (Animals : an open access journal from MDPI · 2023Article
- Satellite Tracking of Head-Started Juvenile Green Turtles (Animals : an open access journal from MDPI · 2023Article
- Nearshore neonate dispersal of Atlantic leatherback turtles (Dermochelys coriacea) from a non-recovering subpopulation.Scientific reports · 2020Article
- Article
- Modeling the emergence of migratory corridors and foraging hot spots of the green sea turtle.Ecology and evolution · 2019Article
- Modeling the active dispersal of juvenile leatherback turtles in the North Atlantic Ocean.Movement ecology · 2019Article
- Connecting paths between juvenile and adult habitats in the Atlantic green turtle using genetics and satellite tracking.Ecology and evolution · 2018Article
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2 authors.
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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.
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