Modelling marine particle dynamics with LTRANS-Zlev: implementation and validation

Laurent, Célia; Querin, Stefano; Solidoro, Cosimo; Canu, Donata Melaku

doi:10.1016/j.envsoft.2020.104621

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…Simulations of larval growth, behavior, and dispersion were performed using the LTRANS‐Zlev Lagrangian particle‐tracking model (Laurent et al., 2020) coupled with an MITgcm (Massachusetts Institute of Technology general circulation model, Marshall et al., 1997) ocean model implementation for the Adriatic Sea (Querin et al., 2016).…”

Section: Methodsmentioning

confidence: 99%

“…LTRANS‐Zlev is an offline particle‐tracking model forced by 3D current, temperature, and density fields that is able to simulate (among other things) the complex behavior of planktonic larvae (Laurent et al., 2020). Based on general and site‐specific information on the life cycle of Nephrops , adapting previous models already developed for the southern Portugal and Irish Sea stocks (Martha‐Almeida et al., 2008; Phelps et al., 2015), LTRANS‐Zlev was setup to simulate the larval phase from release to settlement.…”

Section: Methodsmentioning

confidence: 99%

“…Here, a larval behavior and growth model was developed and integrated to a recently released three‐dimensional Lagrangian particle‐tracking model (Laurent et al., 2020), forced by output from a high‐resolution modern finite‐volume hydrodynamic model (Querin et al., 2016). The integrated larval + particle_tracking +hydrodynamic model has been used to explore and assess the connectivity of Nephrops in the Adriatic Sea for the period 2006–2012.…”

Section: Introductionmentioning

confidence: 99%

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Nephrops norvegicus in the Adriatic Sea: Connectivity modeling, essential fish habitats, and management area network

Canu

Laurent

Morello

et al. 2020

Fisheries Oceanography

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Knowledge of connectivity among subpopulations is fundamental in the identification of the appropriate geographical scales for stock status evaluation and management, the identification of areas with greater retention rates, and space‐based fisheries management. Here, an integration of hydrodynamic, biological, and habitat models results is used to assess connectivity and support the definition of essential fish habitats (EFH) in the Adriatic Sea, with reference to Nephrops norvegicus, an important benthic commercial resource, the recruitment of which is strongly related to larval dispersal from spawning to recruitment areas. We explored oceanographic and biological connectivity in the Adriatic Sea under a wide and representative variety of oceanographic conditions (winters 2006–2012) by tracking 3D trajectories of larvae released from different areas. We used a Lagrangian model that features a specific larval behavior module with explicit dependence on environmental parameters (i.e., temperature and sediment type) and that is driven by high‐resolution hydrodynamic and meteorological data. The results were used to partition the area in which Nephrops was observed into 20 homogenous management subareas; to assess the connection between spawning, recruitment, and harvesting grounds; and to identify potential subpopulation boundaries as well as the connectivity among the potential subpopulations. The results suggest the presence of at least three distinct subpopulations, which need to be independently managed and conserved, and confirms that the Jabuka‐Pomo pit is the most important spawning area, but alone it cannot sustain Nephrops populations throughout the Adriatic Sea. The results also show the importance to move from particle‐tracking to approaches based on integrated models.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Nephrops norvegicus in the Adriatic Sea: Connectivity modeling, essential fish habitats, and management area network

Canu

Laurent

Morello

et al. 2020

Fisheries Oceanography

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“…Reflective boundary conditions (same as Garcia et al, 2013;Kirca et al, 2016;Laurent et al, 2020) are set to the water surface and channel banks. The boundary condition for the channel bed is set as reflective/depositional/resuspended depending on whether or not the channel bed shear stress exceeds the critical shear stress for OPA deposition/resuspension.…”

Section: Random Walk Particle Tracking Algorithmmentioning

confidence: 99%

FluOil: A Novel Tool for Modeling the Transport of Oil-Particle Aggregates in Inland Waterways

Zhu

Soong

et al. 2022

Front. Water

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Spilled oil in inland waterways can aggregate with mineral and organic particles to form oil-particle aggregates (OPAs). OPAs can be transported in suspension or deposited to the bed. Modeling the fate and transport of OPAs can provide useful information for making mitigation decisions. A novel open-source tool, FluOil, is developed to predict where OPAs may deposit and when they arrive in affected river/lake reaches by implementing the random walk particle tracking algorithm to represent the advection, diffusion, deposition, and resuspension of OPAs. The usability of FluOil is demonstrated with the 2010 Kalamazoo River oil spill case study. An unsteady hydrodynamic model simulates the river hydraulics and provides hydraulic data for use in FluOil. Settling velocity and critical shear stress for resuspension are the most important OPA properties concerning the transport and deposition of OPAs. Settling velocity determines the vertical distribution of OPAs and, thus, the travel speed, whereas critical shear stress determines where and when OPAs are deposited and resuspended.

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Cross-scale connectivity of macrobenthic communities in a patchy network of habitats: The Mesophotic Biogenic Habitats of the Northern Adriatic Sea

Bandelj

Solidoro

Laurent

et al. 2020

Estuarine, Coastal and Shelf Science

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Modelling marine particle dynamics with LTRANS-Zlev: implementation and validation

Cited by 4 publications

References 22 publications

Nephrops norvegicus in the Adriatic Sea: Connectivity modeling, essential fish habitats, and management area network

Nephrops norvegicus in the Adriatic Sea: Connectivity modeling, essential fish habitats, and management area network

FluOil: A Novel Tool for Modeling the Transport of Oil-Particle Aggregates in Inland Waterways

Cross-scale connectivity of macrobenthic communities in a patchy network of habitats: The Mesophotic Biogenic Habitats of the Northern Adriatic Sea

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