Coupled Biological and Physical Models: Present Capabilities and Necessary Developments for Future Studies of Population Connectivity

By F. Werner, R. Cowen, Claire B Paris-Limouzy. 2007

251 citations recorded by the source corpus.

Subfields: Genetics, Global and Planetary Change, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/44aad3eb09982c05c5872982df747dc9fa48a363

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Citations in the corpus

Connectivity, sustainability, and yield: bridging the gap between conventional fisheries management and marine protected areas (2009, methodology): “Comparisons with drifter and biological field data should accompany simulations where possible, and methods that assimilate data will likely be more consistently accurate (see Werner et al. 2007 and references therein).”
Larval dispersal and marine population connectivity. (2009, methodology): “Both direct and indirect methods using geochemical and genetic markers (see reviews by Thorrold et al. 2002, 2007; Planes 2002; Hedgecock et al. 2007; Hellberg 2007), as well as sophisticated coupled biophysical models (Werner et al. 2007, Gallego et al. 2007), are available.”
Additive effects of climate change on connectivity between marine protected areas and larval supply to fished areas (2015, background): “…ocean model itself; in particular, its physical parameterizations and its horizontal and vertical resolutions are key elements of the model design when trying to reproduce coastal circulation in some areas (such as bays and estuaries) (Largier, 2003; Siegel et al., 2003; Werner et al., 2007).”
Paradigm shifts in marine fisheries genetics: ugly hypotheses slain by beautiful facts (2008, background): “…that can integrate diverse data sets, such as models of biophysical coupling of population connectivity (Galindo et al. 2006; Faubet and Gaggiotti 2008; Werner et al. 2008) and models of population demography (Andrews et al. 2006) to yield management tools of a quantitative and robust nature.”
Larval retention and connectivity among populations of corals and reef fishes: history, advances and challenges (2009, background): “…dispersal and population connectivity in the marine environment (see reviews by Kingsford et al. 2002; Warner and Cowen 2002; Strathmann et al. 2002; Swearer et al. 2002; Thorrold et al. 2002; Cowen et al. 2007; Gaines et al. 2007; Jones et al. 2007; Hedgecock et al. 2007; Werner et al. 2007).”
Modelling larval fish navigation: the way forward (2014, background): “…et al., 2007; Kingsford, 1990) at a variety of spatial 16 scales (Monismith, 2007) have provided the basis for effective Lagrangian tools to quantify larval 17 dispersal and reveal the critical role of the pelagic larval stage in structuring marine populations 18 (Werner et al., 2007).”
Individualistic species limitations of climate‐induced range expansions generated by meso‐scale dispersal barriers (2011, background): “Such comparisons can provide highly consistent validation of larval transport models without explicit knowledge of larval origin (Werner et al., 2007).”
Estimating dispersal distance in the deep sea: challenges and applications to marine reserves (2015, background): “These passive drifters can be used to represent theoretical larvae in order to identify likely dispersal pathways, highlighting the oceanographic mechanisms and barriers to dispersal (Werner et al., 2007).”
Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean (2013, unknown): “…of larval fluxes between source (spawning) and sink (settlement) locations requires the simulation of complex larval behaviors as well as the use of high-resolution models that can capture the complex sub-mesoscale coastal dynamics together with mesoscale oceanographic models (Werner et al., 2007).”
Behavior constrains the dispersal of long-lived spiny lobster larvae (2011, background): “True ocean circulation and larval dispersal are best resolved with more realistic, coupled biophysical models (reviewed in Werner et al. 2007, Incze et al. 2010).”
Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish (2017, unknown): “…are allowing us to test hypotheses about connectivity processes at these more realistic time–space scales (Paris et al. 2002, 2005; Miller 2007; Werner et al. 2007; Peck and Hufnagl 2012; Karnauskas et al. 2013; OspinaAlvarez et al. 2015), resulting in dynamics and stability properties…”
Model sensitivity and robustness in the estimation of larval transport: A study of particle tracking parameters (2013, methodology): “A widely used method for predicting larval transport is through the use of biophysical models, which consist of coupled Eulerian ocean circulation and Lagrangian particle tracking models (Cowen and Sponaugle, 2009; Metaxas and Saunders, 2009; Miller, 2007; Werner et al., 2007).”