Vertical swimming behavior influences the dispersal of simulated oyster larvae in a coupled particle-tracking and hydrodynamic model of Chesapeake Bay
By Elizabeth W. North, Zachary Schlag, R. Hood, Ming Li, L. Zhong, T. Gross, V. Kennedy. 2008
392 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/0294c80105888fe667f4da3f1f1d72eff231ce24
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In Global and Planetary Change
In Oceanography
Citations in the corpus
- Complexity and simplification in understanding recruitment in benthic populations (2008, background): “Passive behavior reduces the efficiency of transporting mechanisms such as gravity currents and internal motions Yes, in most open coastline cases (but see North et al. 2008 for an estuarine counter-case)”
- Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean (2013, neutral): “Although software packages are already available that can perform a similar task (i.e., ICHTHYOPS, Lett et al., 2008; LTRANS, Schlag et al., 2008; North et al., 2008), the CMS differentiates itself as a probabilistic model treating specifically biological variability as continuous distributions of…”
- Larval dispersal and marine population connectivity. (2009, background): “Paris et al. (2007) and North et al. (2008) recently used an IBM approach to show how variation of certain behavioral traits can affect Lagrangian transport outcomes (i.e., particle trajectories) (Figure 4).”
- Declining impact of an introduced pathogen: Haplosporidium nelsoni in the oyster Crassostrea virginica in Chesapeake Bay (2011, background): “…have been most abundant in the middle reaches of the large Virginia rivers (Haven et al. 1978), and a long-term analysis of Dela - ware Bay oyster populations indicated periodic population expansions from, and contractions to, a core re - fuge in the middle region of the bay (Powell et al. 2008).”
- A biologist's guide to assessing ocean currents: a review (2012, background): “…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).”
- Model sensitivity and robustness in the estimation of larval transport: A study of particle tracking parameters (2013, methodology): “around a particle tracking time of a single day (North et al., 2008).”