Surfing, spinning, or diving from reef to reef: effects on population connectivity
By Claire B Paris-Limouzy, Laurent M. Chérubin, R. Cowen. 2007
307 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/028a579af36b3611aa83089538fb05549bd20935
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- R. Cowen
- S. Sponaugle
- S. Gaines
- Geoffrey P. Jones
- Claire B Paris-Limouzy
- D. Siegel
- Stephen R. Palumbi
- Robert Steneck
In Global and Planetary Change
- R. Cowen
- S. Sponaugle
- Claire B Paris-Limouzy
- Geoffrey P. Jones
- D. Siegel
- S. Gaines
- Stephen R. Palumbi
- Robert Steneck
In Oceanography
- R. Cowen
- S. Sponaugle
- Stephen R. Palumbi
- D. Siegel
- K. Selkoe
- S. Gaines
- E. Staaterman
- Claire B Paris-Limouzy
Citations in the corpus
- Coral larvae: From gametes to recruits (2011, background): “A recent modeling study using data on fish indicates that larval vertical migrations interact with currents in the water column to affect recruit arrival patterns as well as connectivity among reefs (Paris 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): “Thesemodels typically use a Lagrangianparticletracking framework to deal with explicit individuals, and use information on currents and environmental conditions from ocean circulation models to track the movement of a large number of individuals through space and time (Paris et al., 2007).”
- Larval retention and connectivity among populations of corals and reef fishes: history, advances and challenges (2009, background): “…biophysical models (e.g., Black et al. 1991; Schultz and Cowen 1994; Cowen et al. 2000, 2006; James et al. 2002; Sponaugle et al. 2002; Paris et al. 2007; Werner et al. 2007) and phylogeographic studies (e.g., Bernardi et al. 2001; Barber et al. 2002; Rocha et al. 2007) also make a…”
- Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish (2017, unknown): “Typically, they use a Lagrangian particle-tracking framework to address individual variability, and information on currents and environmental conditions from ocean circulation models to track large numbers of individuals through space and time (Paris et al. 2007).”
- The duration of migration of Atlantic Anguilla larvae (2010, methodology): “Most of the literature on larval fish behaviour comes from reef ecosystems (e.g., Leis and Carson-Ewart 2003; Leis 2007; Paris et al. 2007), where larvae have been reported to perform oriented movements as large as tens of km using mostly reef noise or the sun as cues for orientation.”
- Biophysical interactions in the plankton: A cross‐scale review (2012, background): “Individual-based models allow ocean circulation models to be parameterized with biological parameters and individual behaviors and are fundamental to our understanding of biophysical interactions over large scales (Paris et al. 2007).”
- Variability in the trophic role of coral reef fish larvae in the oceanic plankton (2009, background): “…tied to larval survival en route (which has been, in large part, a black box for modelers), the need for empirical work investigating the biological processes occurring during the planktonic larval phase is becoming increasingly apparent (Sponaugle & GrorudColvert 2006, Paris et al. 2007).”
- Designing marine reserve networks for both conservation and fisheries management (2010, background): “89–91) have guided us in generating increasingly complex depictions of larval dispersal for use in marine reserve models (37, 92, 93).”
- Complexity and simplification in understanding recruitment in benthic populations (2008, background): “4) likely hinders our ability to accurately predict dispersal patterns using simulation models (but see a recent example of model quantifying the relative importance of biological and physical factors on spatial scales relevant to larvae Paris et al. 2007).”
- 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).”
- Behavior constrains the dispersal of long-lived spiny lobster larvae (2011, methodology): “If it is as high as is generally presumed, then variance in pelagic mortality will profoundly affect dispersal kernels and population connectivity, as modeling studies suggest (Cowen et al. 2000, Paris et al. 2007).”
- Consistency and inconsistency in multispecies population network dynamics of coral reef ecosystems (2014, unknown): “The CMS tracked larvae ('particles') and recorded their positions (Paris et al. 2013).”
- Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, background): “Successfully reaching suitable adult habitat may require careful timing of reproduction for spawned larvae to exploit countercurrents, upwelling cycles, and gyres that may return offspring to natal habitat after forays into open ocean currents, and also active behaviors to counteract passive driftin”