Vertical swimming behavior influences the dispersal of simulated oyster larvae in a coupled particle-tracking and hydrodynamic model of Chesapeake Bay

North, Elizabeth W.; Schlag, Zachary; Hood, Raleigh R.; Li, M.; Zhong, Liejun; Gross, Thomas F.; Kennedy, Victor S.

doi:10.3354/meps07317

Cited by 315 publications

(294 citation statements)

References 45 publications

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“…In some cases, 'behaviour' has been placed within these models. For example, some coastal marine plankton may adjust their depth in the water column depending on the state of the tide, in order to influence their horizontal movement, and this behaviour can be parameterised within particletracking models (North et al 2008, Gilbert et al 2010, Butler et al 2011. As a corollary, the same type of approach is used to infer the movement of insects drifting in the atmosphere, with behaviour again added to passive drift scenarios (Reynolds et al 2009).…”

Section: Simulating Ocean Currents and Particle Driftmentioning

confidence: 99%

A biologist’s guide to assessing ocean currents: a review

Fossette¹,

Putman²,

Lohmann³

et al. 2012

Mar. Ecol. Prog. Ser.

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We review how ocean currents are measured (in both Eulerian and Lagrangian frameworks), how they are inferred from satellite observations, and how they are simulated in ocean general circulation models (OGCMs). We then consider the value of these 'direct' (in situ) and 'indirect' (inferred, simulated) approaches to biologists investigating current-induced drift of strong-swimming vertebrates as well as dispersion of small organisms in the open ocean. We subsequently describe 2 case studies. In the first, OGCM-simulated currents were compared with satellite-derived currents; analyses suggest that the 2 methods yield similar results, but that each has its own limitations and associated uncertainty. In the second analysis, numerical methods were tested using Lagrangian drifter buoys. Results indicated that currents simulated in OGCMs do not capture all details of buoy trajectories, but do successfully resolve most general aspects of current flows. We thus recommend that the errors and uncertainties in ocean current measurements, as well as limitations in spatial and temporal resolution of the surface current data, need to be considered in tracking studies that incorporate oceanographic data. Whenever possible, crossvalidation of the different methods (e.g. indirect estimates versus buoy trajectories) should be undertaken before a decision is reached about which technique is best for a specific application.

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Section: Simulating Ocean Currents and Particle Driftmentioning

confidence: 99%

A biologist’s guide to assessing ocean currents: a review

Fossette¹,

Putman²,

Lohmann³

et al. 2012

Mar. Ecol. Prog. Ser.

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“…The incorporation of biological characteristics such as buoyancy, vertical migration behaviour and growth in larval transport IBM-3D hydrodynamic models developed for a number of species have led to mixed results, from being particularly important to having no effect at all on the larval trajectories in the models applied (e.g. Hare et al, 1999;North et al, 2008;Martins et al, 2010a). Whichever effect holds for modelling D. plei larval transport on the SP shelf is still unknown, and this issue must clearly be assessed by incorporating biological traits into the virtual paralarvae in future studies.…”

Section: Limitations Of the Simulationsmentioning

confidence: 99%

“…In recent years, computer-based biophysical modelling techniques have been developed and applied to a number of fish and invertebrate species to clarify larval transport mechanisms in open ocean, shelf and inshore ecosystems (Cowen et al, 2006;North et al, 2008;Kitagawa et al, 2010;Watson et al, 2010). Among these, coupling of Lagrangian particle-tracking Individual-Based Models (IBMs) and 3D hydrodynamic models have been used to model the transport of small pelagic fish eggs and larvae, and squid paralarvae (e.g.…”

Section: Introductionmentioning

confidence: 99%

The São Paulo shelf (SE Brazil) as a nursery ground for Doryteuthis plei (Blainville, 1823) (Cephalopoda, Loliginidae) paralarvae: a Lagrangian particle-tracking Individual-Based Model approach

2013

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2014The São Paulo shelf (SE Brazil) as a nursery ground for Doryteuthis plei (Blainville, 1823) (Cephalopoda, Loliginidae) paralarvae: a Lagrangian particle-tracking individual-based model approach Hydrobiologia, Cham, v. 725, p. 57-68, 2014 Abstract The São Paulo shelf ranges from *23°S to 25°S, comprising nearly 622 km of shoreline. This region sustains historical landings of the tropical arrow squid Doryteuthis plei. As in other coleoid cephalopods, the broodstock dies following spawning and the continuance of the population relies exclusively upon the survival of the paralarvae, which are very sensitive to oceanographic conditions. As a first step towards the understanding of paralarval transport, the shelf area was evaluated in terms of retention/ dispersion potential. A Lagrangian particle-tracking Individual-Based Model was set up using a 3D Princeton Ocean Model model forced with in situ data obtained from July 2009 to July 2011. Neutrally buoyant particles were released every first day of every month in the model, and tracked for 30 days. The retention potential was high for particles released from the bottom all over the study area from the coast to the shelf break (200 m isobath). Offshore losses showed a marked seasonality. Regarding inshore losses, the percentage of particles beached was constant year round and smaller than offshore losses, being higher south of 24°S. Simulation results seem to agree with present knowledge of the reproductive behaviour of the species in the region.

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“…North et al 2008, Treml et al 2008, Fox et al 2009). While some results are specific to the geography of the study region, such studies allow identification of generalities in larval dispersal patterns, such as the importance of vertical migration (Fox et al 2006, Sundelöf & Jonsson 2011, or the role of particular sites as a source or sink for larvae (North et al 2008, Ayata et al 2010. A model provides a well-defined baseline against which to compare empirical observations, and appropriate models can provide testable hypotheses and give insight into specific aspects of biological or hydrodynamic processes in the real world.…”

Section: Introductionmentioning

confidence: 99%

Connectivity modelling and network analysis of sea lice infection in Loch Fyne, west coast of Scotland

Adams¹,

Black²,

MacIntyre³

et al. 2012

Aquacult. Environ. Interact.

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Sea lice are a persistent threat in many areas where salmon farming is practised. In common with the management of disease, infection levels are typically controlled by operating sites within distinct geographical areas, allowing for coordinated treatment and fallow cycles. However, the hydrodynamic connectivity and consequent transmission of lice larvae between sites is often not well understood, which limits our ability to optimise the spatial distribution of farms to minimise infection. We used a multistage modelling approach to investigate the transmission of sea lice larvae between salmon aquaculture sites in Loch Fyne, Scotland. A finite element hydrodynamic model was forced using meteorological data collected over the study period. Output from this model was used to drive a particle-tracking model. The latter model implemented the development and mortality of larvae to estimate the probability of successful larval dispersal between sites. In turn, these dispersal probabilities were used to define a network describing the sea lice metapopulation (its habitat defined by the aquaculture sites). Methods from graph theory allow the identification of those sites in the network that are likely to be key for the control of sea lice in the loch population as a whole. Model outputs were compared with data from a campaign of plankton tows and with lice abundance data from aquaculture sites. The general pattern of abundance was reasonably well replicated, albeit with some notable discrepancies. These differences are worth investigating further, as they may be suggestive of sources of infection by wild fish or of inadequacies in the model.

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Vertical swimming behavior influences the dispersal of simulated oyster larvae in a coupled particle-tracking and hydrodynamic model of Chesapeake Bay

Cited by 315 publications

References 45 publications

A biologist’s guide to assessing ocean currents: a review

A biologist’s guide to assessing ocean currents: a review

The São Paulo shelf (SE Brazil) as a nursery ground for Doryteuthis plei (Blainville, 1823) (Cephalopoda, Loliginidae) paralarvae: a Lagrangian particle-tracking Individual-Based Model approach

Connectivity modelling and network analysis of sea lice infection in Loch Fyne, west coast of Scotland

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