Simulations of drifting fish aggregating device (dFAD) trajectories in the Atlantic and Indian Oceans

Imzilen, Taha; Kaplan, David M.; Barrier, Nicolas; Lett, Christophe

doi:10.1016/j.fishres.2023.106711

Cited by 3 publications

(1 citation statement)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Yet, these impacts remain small, and the reanalysis offers the advantage of being close to observations (Jutras et al, 2023). The GLORYS12V1 product has been successfully used in the past to perform Lagrangian tracking experiments (Cividanes-García, 2022;Henschke et al, 2023;Imzilen et al, 2023).…”

Section: Lagrangian Trajectoriesmentioning

confidence: 99%

Machine Learning‐Based Clustering of Oceanic Lagrangian Particles: Identification of the Main Pathways of the Labrador Current

Jutras,

Planat,

Dufour

et al. 2024

J Adv Model Earth Syst

View full text Add to dashboard Cite

Modeled geospatial Lagrangian trajectories are widely used in Earth Science, including in oceanography, atmospheric science and marine biology. The typically large size of these data sets makes them arduous to analyze, and their underlying pathways challenging to identify. Here, we show that we can use a machine learning unsupervised k‐means++ clustering method combined with expert aggregation of clusters to identify the pathways of the Labrador Current from a large set of modeled Lagrangian trajectories. The presented method requires simple pre‐processing of the data, including a Cartesian correction on longitudes and a principal component analysis reduction. The clustering is performed in a kernelized space and uses a larger number of clusters than the number of expected pathways. To identify the main pathways, similar clusters are grouped into pathway categories by experts in the circulation of the region of interest. We find that the Labrador Current mainly follows a westward‐flowing and an eastward retroflecting pathway (20% and 50% of the flow, respectively) that compensate each other through time in a see‐saw behavior. These pathways experience a strong variability (representing through time 4%–42% and 24%–73% of the flow, respectively). Two thirds of the retroflection occurs at the tip of the Grand Banks, and one quarter at Flemish Cap. The westward pathway is mostly fed by the on‐shelf branch of the Labrador Current, and the eastward pathway by the shelf‐break branch. Among the pathways of secondary importance, we identify a previously unreported one that feeds the subtropics across the Gulf Stream.

show abstract

Section: Lagrangian Trajectoriesmentioning

confidence: 99%

Machine Learning‐Based Clustering of Oceanic Lagrangian Particles: Identification of the Main Pathways of the Labrador Current

Jutras,

Planat,

Dufour

et al. 2024

J Adv Model Earth Syst

View full text Add to dashboard Cite

show abstract

Tracking the pumice rafts from the Fukutoku-Okanoba submarine volcano with Satellites and a Lagrangian Particles trajectory model

Iskandar

Park

Kim

et al. 2023

Marine Pollution Bulletin

View full text Add to dashboard Cite

Multiscale modelling of dispersal pathways for the invasive blue crab larvae (Callinectes sapidus) in the Mediterranean Sea

Barrier,

Piana,

Barrier

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

The blue crab (Callinectes sapidus) is an invasive species that has occurred in the Mediterranean Sea since the mid twentieth century but undergone a significant population increase in the last decade. This worrying increase has raised concerns necessitating to provide information about its ecology and population dynamics at different scales, including its dispersal patterns. Biophysical modeling is a valuable tool for addressing the challenges associated to the study of marine species dispersal across various timeframes and geographical areas. To study the dispersal routes and connectivity of the blue crab in regions of the Mediterranean Sea where this invasive species has been observed, we used a biophysical modeling study, combining a Lagrangian tool with two hydrodynamic models of different spatial resolutions and geographical coverages but with the same period (2010 to 2020). We highlight the main larval dispersal routes, such as the recurrent connections between nearby coastlines including Tunisia and Sicily, as well as Sardinia, Corsica, and the Ligurian Sea coast, and their consistency, both across the entire Mediterranean Sea and a focus on its Northwestern part. The areas with the highest larval retention are revealed to be the Gulf of Lion, the Gulf of Gabès, the Adriatic Sea and the Levantine basin. Furthermore, the critical role of islands in the colonization dynamics of the blue crab is emphasized. Interconnected regions are identified, including Tunisia, Sicily, Sardinia, Corsica, and the coastlines of the Ligurian and Tyrrhenian Seas. Larval connectivity was determined to be high between the Eastern and Western Mediterranean basins, likely explaining the crab's rapid invasion into suitable habitats over the whole sea. In more isolated regions, such as the Adriatic Sea, highest self-recruitment rates were obtained. These findings provide valuable insights for the development of tools and visualizations that can assist managers and stakeholders in gaining a better understanding of the challenges posed by the invasion of the blue crab in the Mediterranean Sea.

show abstract

Simulations of drifting fish aggregating device (dFAD) trajectories in the Atlantic and Indian Oceans

Cited by 3 publications

References 47 publications

Machine Learning‐Based Clustering of Oceanic Lagrangian Particles: Identification of the Main Pathways of the Labrador Current

Machine Learning‐Based Clustering of Oceanic Lagrangian Particles: Identification of the Main Pathways of the Labrador Current

Tracking the pumice rafts from the Fukutoku-Okanoba submarine volcano with Satellites and a Lagrangian Particles trajectory model

Multiscale modelling of dispersal pathways for the invasive blue crab larvae (Callinectes sapidus) in the Mediterranean Sea

Contact Info

Product

Resources

About