A Lagrangian tool for modelling ichthyoplankton dynamics

Lett, Christophe; Verley, Philippe; Mullon, Christian; Parada, Carolina; Brochier, Timothée; Penven, Pierrick; Blanke, Bruno

doi:10.1016/j.envsoft.2008.02.005

Cited by 317 publications

(248 citation statements)

References 21 publications

Supporting

Mentioning

243

Contrasting

Unclassified

Order By: Relevance

“…For advection of particles, ICHTHYOP implemented a Runge-Kutta fourth-order time-stepping method whereby particle position was calculated each half-hour. To simulate sub-grid scale turbulent processes, horizontal dispersion was also included in the advection process [19]. The HYCOM-ICHTHYOP system accurately predicts the movement of surface-drifting buoys [20] and is well established for studying sea turtle dispersal [6,9,[20][21][22][23].…”

Section: Methodsmentioning

confidence: 99%

“…6 -9 km grid spacing), a daily time step, and assimilates satellite and in situ measurements to produce realistic velocity fields [18]. Numerical experiments were performed with ICHTHYOP (v. 2) particle tracking software [19]. For advection of particles, ICHTHYOP implemented a Runge-Kutta fourth-order time-stepping method whereby particle position was calculated each half-hour.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Finding the ‘lost years’ in green turtles: insights from ocean circulation models and genetic analysis

Putman

Naro‐Maciel

2013

Proc. R. Soc. B.

View full text Add to dashboard Cite

Organismal movement is an essential component of ecological processes and connectivity among ecosystems. However, estimating connectivity and identifying corridors of movement are challenging in oceanic organisms such as young turtles that disperse into the open sea and remain largely unobserved during a period known as 'the lost years'. Using predictions of transport within an ocean circulation model and data from published genetic analysis, we present to our knowledge, the first basin-scale hypothesis of distribution and connectivity among major rookeries and foraging grounds (FGs) of green turtles (Chelonia mydas) during their 'lost years'. Simulations indicate that transatlantic dispersal is likely to be common and that recurrent connectivity between the southwestern Indian Ocean and the South Atlantic is possible. The predicted distribution of pelagic juvenile turtles suggests that many 'lost years hotspots' are presently unstudied and located outside protected areas. These models, therefore, provide new information on possible dispersal pathways that link nesting beaches with FGs. These pathways may be of exceptional conservation concern owing to their importance for sea turtles during a critical developmental period.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Finding the ‘lost years’ in green turtles: insights from ocean circulation models and genetic analysis

Putman

Naro‐Maciel

2013

Proc. R. Soc. B.

View full text Add to dashboard Cite

show abstract

“…4.5 km), daily snapshots of velocity and resolves mesoscale processes such as meandering currents, fronts, filaments and eddies [14]. ICHTHYOP (v. 2.21) particle-tracking software [15] . We used the mean relative abundance of hatchlings released at each location during the months of June, July and August to weight the proportion of particles that were released daily from each location for a particular month (table 1).…”

Section: Methodsmentioning

confidence: 99%

Predicting the distribution of oceanic-stage Kemp's ridley sea turtles

Putman

Mansfield

et al. 2013

Biol. Lett.

View full text Add to dashboard Cite

The inaccessibility of open ocean habitat and the cryptic nature of small animals are fundamental problems when assessing the distribution of oceanic-stage sea turtles and other marine animals sharing similar lifehistory traits. Most methods that estimate patterns of abundance cannot be applied in situations that are extremely data limited. Here, we use a movement ecology framework to generate the first predicted distributions for the oceanic stage of the Kemp's ridley sea turtle (Lepidochelys kempii). Our simulations of particle dispersal within ocean circulation models reveal substantial annual variation in distribution and survival among simulated cohorts. Such techniques can help prioritize areas for conservation, and supply inputs for more realistic demographic models attempting to characterize population trends.

show abstract

“…In order to minimize the influence of coastal transport and retention unable to be quantified by HYCOM [14], particles were released approximately 50 km offshore within a zone that corresponded to the main deployment locations for 2010 and 2011. The movement of individual particles through HYCOM velocity fields was simulated using Lagrangian advection with a fourth-order Runge -Kutta time-stepping method [43], similar to Putman et al [6]. Transport of particles was calculated every half an hour and recorded at 24 h intervals.…”

Section: (B) Particle Simulationmentioning

confidence: 99%

“…Particle dispersal was simulated using the particle-tracking program ICHTHYOP (v. 3.2) [43]. Surface current velocity fields were extracted from the global hybrid coordinate ocean model (HYCOM) 1/12-degree analysis (http://hycom.org).…”

Section: (B) Particle Simulationmentioning

confidence: 99%

Active dispersal in loggerhead sea turtles ( Caretta caretta ) during the ‘lost years’

et al. 2016

View full text Add to dashboard Cite

Highly migratory marine species can travel long distances and across entire ocean basins to reach foraging and breeding grounds, yet gaps persist in our knowledge of oceanic dispersal and habitat use. This is especially true for sea turtles, whose complex life history and lengthy pelagic stage present unique conservation challenges. Few studies have explored how these young at-sea turtles navigate their environment, but advancements in satellite technology and numerical models have shown that active and passive movements are used in relation to open ocean features. Here, we provide the first study, to the best of our knowledge, to simultaneously combine a high-resolution physical forcing ocean circulation model with long-term multi-year tracking data of young, trans-oceanic North Pacific loggerhead sea turtles during their 'lost years' at sea. From 2010 to 2014, we compare simulated trajectories of passive transport with empirical data of 1-3 year old turtles released off Japan (29.7-37.5 straight carapace length cm). After several years, the at-sea distribution of simulated current-driven trajectories significantly differed from that of the observed turtle tracks. These results underscore current theories on active dispersal by young oceanic-stage sea turtles and give further weight to hypotheses of juvenile foraging strategies for this species. Such information can also provide critical geographical information for spatially explicit conservation approaches to this endangered population.

show abstract

A Lagrangian tool for modelling ichthyoplankton dynamics

Cited by 317 publications

References 21 publications

Finding the ‘lost years’ in green turtles: insights from ocean circulation models and genetic analysis

Finding the ‘lost years’ in green turtles: insights from ocean circulation models and genetic analysis

Predicting the distribution of oceanic-stage Kemp's ridley sea turtles

Active dispersal in loggerhead sea turtles ( Caretta caretta ) during the ‘lost years’

Contact Info

Product

Resources

About