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2019
DOI: 10.1016/j.dsr2.2018.05.016
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Running the gauntlet: Connectivity between natal and nursery areas for Pacific ocean perch (Sebastes alutus) in the Gulf of Alaska, as inferred from a biophysical individual-based model

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Cited by 14 publications
(11 citation statements)
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References 62 publications
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“…The IBM was developed using the Dispersal Model for Early Life Stages (DisMELS) IBM framework (Stockhausen, et al., 2019) to track transport and dispersal of the pelagic egg and larval stages of marine organisms through earlier life stages from spawning to settlement. Briefly, DisMELS incorporates a Lagrangian particle tracking algorithm and species‐specific traits, allowing the model to be parameterized for multiple species (Cooper et al., 2013; Duffy‐Anderson et al., 2013; Sohn, 2016; Stockhausen, et al., 2019). The hydrographic ROMS model is a primitive equation, three‐dimensional ocean circulation model driven by atmospheric forcing (details are available at myroms.org, Haidvogel et al., 2008; Shchepetkin & McWilliams, 2005).…”
Section: Methodsmentioning
confidence: 99%
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“…The IBM was developed using the Dispersal Model for Early Life Stages (DisMELS) IBM framework (Stockhausen, et al., 2019) to track transport and dispersal of the pelagic egg and larval stages of marine organisms through earlier life stages from spawning to settlement. Briefly, DisMELS incorporates a Lagrangian particle tracking algorithm and species‐specific traits, allowing the model to be parameterized for multiple species (Cooper et al., 2013; Duffy‐Anderson et al., 2013; Sohn, 2016; Stockhausen, et al., 2019). The hydrographic ROMS model is a primitive equation, three‐dimensional ocean circulation model driven by atmospheric forcing (details are available at myroms.org, Haidvogel et al., 2008; Shchepetkin & McWilliams, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…For the IBM, ROMS daily output was spatially interpolated using bilinear interpolation in order to obtain the physical variables associated with each modeled larvae. Larval locations (latitude, longitude, and depth) were determined using a fourth‐order predictor‐corrector algorithm that incorporated swimming, buoyancy, and vertical and horizontal random walks for diffusive motion (Stockhausen, et al., 2019). Larval movement was primarily passive (no orientation or directed swimming behavior) except for vertical movement to maintain larvae within preferred depth ranges (Table 1).…”
Section: Methodsmentioning
confidence: 99%
“…Fish employing broadcast spawning strategies characterized by larval and juvenile pelagic drift in ocean currents are subject to large interannual variability in oceanic conditions (Stockhausen et al, 2018). Stockhausen et al (2018) refer to this as "running the gauntlet," as it is during this critical life stage that these fish are most vulnerable, experiencing the highest rates of mortality. This vulnerability is not only due to the vagaries of physical transport, but also due to their physiological condition where they must meet energetic demands of acquiring sufficient lipid reserves in order to move to inshore nursery areas.…”
Section: Genome-environment Associationmentioning
confidence: 99%
“…Ocean currents may advect YOY far offshore where they will fail to reach their shelf-slope nursery areas. Using ROMS-based models, Stockhausen et al (2018) showed that up to 70% of the YOY failed to reach suitable nursery habitats prior to wintertime and were not expected to survive. The ones that are not advected out of reach of nursery habitat must still acquire sufficient lipid reserves in order to settle out and overwinter.…”
Section: Fluctuating Selection and Maintenance Of Adaptive Diversitymentioning
confidence: 99%
“…The mechanisms underlying these changes are summarized in Bakun, Field, Redondo‐Rodriguez, and Weeks (). In the Gulf of Alaska (GOA), recent studies have focused on the importance of larval drift and ecoregion connectivity in explaining age‐0 settlement locations of groundfish populations (Hinckley, Parada, Horne, Mazur, & Woillez, ; Stockhausen, Coyle, Hermann, Blood, et al., ; Stockhausen, Coyle, Hermann, Doyle, et al., ). Although climate‐induced shifts in the timing and location of spawning and larval distribution and survival could impact the spatial distribution of fish populations over time (Orensanz, Ernst, Armstrong, Stabeno, & Livingston, ; Parada, Armstrong, Ernst, Hinckley, & Orensanz, ), these early life history studies do not capture the short‐term response of age‐1+ fishes and the associated impacts of these changes on fisheries.…”
Section: Introductionmentioning
confidence: 99%