The physics of blue crab larval recruitment in Delaware Bay: A model study

Tilburg, Charles E.; Reager, J. T.; Whitney, Michael M.

doi:10.1357/0022240053693699

Cited by 34 publications

(35 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the next section we address this difference using the double-gyre example, demonstrating the importance of adequate temporal resolution of the "large scale" flow. The non-stationary zeroth-order Lagrangian stochastic model (13) has become popular in recent oceanographic and limnological applications [4][5][6][7][8][9][10][11].…”

Section: Stochastic Lagrangian Modelmentioning

confidence: 99%

See 1 more Smart Citation

Deducing an upper bound to the horizontal eddy diffusivity using a stochastic Lagrangian model

et al. 2010

View full text Add to dashboard Cite

We present a method for estimating the upper bound of the horizontal eddy diffusivity using a non-stationary Lagrangian stochastic model. First, we identify a mixing barrier using a priori evidence (e.g., aerial photographs or satellite imagery) and using a Lagrangian diagnostic calculated from observed or modeled spatially non-trivial, time-dependent velocities [for instance, the relative dispersion (RD) or finite time Lyapunov exponent (FDLE)]. Second, we add a stochastic component to the observed (or modeled) velocity field. The stochastic component represents sub-grid stochastic diffusion and its mean magnitude is related to the eddy diffusivity. The RD of Lagrangian trajectories is computed for increasing values of the eddy diffusivity until the mixing barrier is no longer present. The value at which the mixing barrier disappears provides a dynamical estimate of the upper bound of the eddy diffusivity. The erosion of the mixing barrier is visually observed in numerical simulations, Hezi Gildor-Formerly at The Environmental Sciences, 123 500 Environ Fluid Mech (2010) 10: and is quantified by computing the kurtosis of the RD at each value of the eddy diffusivity. We demonstrate our method using the double gyre circulation model and apply it to high frequency (HF) radar observations of surface currents in the Gulf of Eilat.

show abstract

Section: Stochastic Lagrangian Modelmentioning

confidence: 99%

“…This non-stationary zeroth-order model is widely used in oceanography and limnology [5][6][7][8][9][10][11]. We have seen that in flows that exhibit chaotic advection at K = 0, the effects of small diffusivity or small uncertainties in U LS on the mixing are not dramatic (see Figs.…”

Section: Sensitivity Testsmentioning

confidence: 99%

Deducing an upper bound to the horizontal eddy diffusivity using a stochastic Lagrangian model

et al. 2010

View full text Add to dashboard Cite

show abstract

“…Field observations and mathematical models suggest that such periods allow for transports over distances ranging between a few tens and a few hundreds of kilometres, i.e. mostly on a regional scale (for review, see Day and McEdward, 1984; recent papers by Pedersen et al, 2003;Queiroga and Blanton, 2005;Tilburg et al, 2005;Criales et al, 2006). In conclusion, limited larval dispersal allows regular recruitment and genetic exchange, ensuring the stability (Eckert, 2003) and the connectivity of regional benthic populations (Strathmann et al, 2002), but rarely for long-distance transport.…”

Section: Scales Of Dispersalmentioning

confidence: 99%

Contributions of larval biology to crustacean research: a review

Anger

2006

Invertebrate Reproduction & Development

177

121

View full text Add to dashboard Cite

SummaryMany aquatic crustaceans pass through a complex life cycle comprising a benthic juvenile-adult and a pelagic larval phase. In the study of aquatic ecology, meroplanktonic larvae are therefore considered as principal components of benthic-pelagic coupling processes. As a consequence of radical transitions of life style, larvae differ from conspecific adults in their ecology, behaviour, nutrition, morphology, and physiology. Ontogenetic changes of these traits, as well as carry-over effects of larval condition on postmetamorphic fitness of benthic juveniles, are subjects of the interdisciplinary field of larval biology. Larval biology is thus not only an intrinsic part of lifehistory studies, but contributes essential information also to various other biological disciplines, including the broad area of crustacean research. For economically important species, it provides critical information for the development of aquaculture techniques or for the management of sustainable fisheries. Inferring from heritable ontogenetic patterns, comparative studies of larval morphology also aid the identification of phylogenetic relationships within and among higher taxa ("Evo-Devo" perspective). On the other hand, larval traits may be modified by environmental factors, which link larval ecology to developmental biology ("Eco-Devo" approach). Patterns of larval dispersal, mortality, and recruitment are crucial for the stability of benthic populations and communities. These aspects of "supply-side ecology" have also consequences for patterns of biogeographic distribution, population connectivity, genetic diversity, and the formation of metapopulations. In addition, the spread of introduced species in recipient regions may be explained or predicted through developmental and ecophysiological traits of their larvae. In evolutionary biology, knowledge of reproductive and developmental adaptations is crucial for the understanding of limnic and terrestrial invasions by originally marine crustaceans.

show abstract

“…These winddriven events are a likely mode of C. sapidus megalopa ingress to estuaries in the Middle Atlantic Bight (Goodrich et al 1989;Little and Epifanio 1991;Jones and Epifanio 1995;Olmi 1995;Roman and Boicourt 1999;Epifanio and Garvine 2001;Tilburg et al 2005;Epifanio and Tilburg 2008;) and could result in year-to-year variation in blue crab recruitment (Sulkin and Epifanio 1986;Ogburn et al 2012).…”

Section: Introductionmentioning

confidence: 99%

The Distribution of Blue Crab (Callinectes sapidus) Megalopae at the Mouths of Chesapeake and Delaware Bays: Implications for Larval Ingress

Biermann

2015

Estuaries and Coasts

View full text Add to dashboard Cite

Transport of Callinectes sapidus (blue crab) megalopae from the continental shelf into estuaries may influence recruitment variability of this species. Observations of the vertical distribution of C. sapidus megalopae near the mouths of Chesapeake and Delaware Bays were used to infer vertical swimming behaviors that may influence ingress to these estuaries. Megalopae and oceanographic conditions were sampled at locations from~10 km inshore of the estuary mouths to~40 km offshore in coastal shelf waters on September 7-13, 2005 and September 3-7, 2006. Megalopae were present in greater abundance and at shallower depths during night compared to day at all locations in Chesapeake and Delaware Bays, suggesting that megalopae make diel vertical migrations within the estuary and on the continental shelf near the estuarine mouths. Within the mouth of the estuaries, only limited evidence suggests that megalopae increase in abundance in the upper water column during nocturnal flood tides in Delaware Bay. These findings suggest that wind forcing and density-induced subtidal flows are more likely mechanisms for ingress to Chesapeake and Delaware Bays than tidal transport.

show abstract

The physics of blue crab larval recruitment in Delaware Bay: A model study

Cited by 34 publications

References 0 publications

Deducing an upper bound to the horizontal eddy diffusivity using a stochastic Lagrangian model

Deducing an upper bound to the horizontal eddy diffusivity using a stochastic Lagrangian model

Contributions of larval biology to crustacean research: a review

The Distribution of Blue Crab (Callinectes sapidus) Megalopae at the Mouths of Chesapeake and Delaware Bays: Implications for Larval Ingress

Contact Info

Product

Resources

About