Recruitment processes in Haliotis rubra (Mollusca: Gastropoda) and regional hydrodynamics in southeastern Australia imply localized dispersal of larvae

McShane, Paul; Black, KP; Smith, Murray G.

doi:10.1016/0022-0981(88)90171-2

Cited by 110 publications

(84 citation statements)

References 24 publications

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“…Temporal changes in oceanographic flow may explain some of the patterns of differentiation seen in Stegastes partitus populations along the MBRS, and has been shown to influence population dynamics (McShane et al 1988, Lee & Williams 1999) and shape population genetic structure in other species and systems (Kenchington et al 2006, Selkoe et al 2006. Furthermore, the MBRS experiences considerable variability in flow, both in velocity and direction of currents seasonally (Ezer et al 2005, Tang et al 2006.…”

Section: Discussionmentioning

confidence: 99%

“…Our data show that recently settled juvenile cohorts can be 272 Hogan et al: Variable connectivity among fish populations genetically differentiated over time, thus adult S. partitus populations may be unusually susceptible to Wahlund effects. Although our data indicate that temporally stochastic larval dispersal patterns are the likely dominant factor in our observed temporal and spatial patterns of genetic divergence in S. partitus, the nature of the process driving the variation in recruit composition is unknown.Temporal changes in oceanographic flow may explain some of the patterns of differentiation seen in Stegastes partitus populations along the MBRS, and has been shown to influence population dynamics (McShane et al 1988, Lee & Williams 1999) and shape population genetic structure in other species and systems (Kenchington et al 2006, Selkoe et al 2006. Furthermore, the MBRS experiences considerable variability in flow, both in velocity and direction of currents seasonally (Ezer et al 2005, Tang et al 2006.…”

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Variability in connectivity indicated by chaotic genetic patchiness within and among populations of a marine fish

Hogan¹,

Thiessen²,

Heath³

2010

Mar. Ecol. Prog. Ser.

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Despite substantial advances in our understanding of marine population dynamics, there is still much uncertainty as to what processes influence connectivity, gene flow and population structure. To explore this, we examined the spatial and temporal variation in population genetic structure of adult and recently settled bicolor damselfish Stegastes partitus, a coral reef fish. We genotyped adult and juvenile fish from 10 sites over 4 sample years at 9 microsatellite loci. We show spatial heterogeneity in adult and juvenile population structure; however, we found no evidence of a pattern of spatial genetic divergence. Furthermore, genetic structure changed through time and between life stages in an unpredictable manner. Using these data, we test whether pre-or postsettlement selection, sweepstakes effects or variability in connectivity can explain the observed chaotic genetic patchiness. Our results indicate that the contributions of various larval sources likely change through time as a result of stochastic processes such as oceanographic flow. Our results have implications for the management of marine populations, as spatial and temporal variability in connectivity may act to promote long term stability of populations. Therefore it is important that marine management efforts account for such heterogeneity in the design of protected areas.KEY WORDS: Connectivity · Temporal variability · Larval dispersal · Chaotic genetic patchiness · Genetic structure · Coral reef fish Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 417: [263][264][265][266][267][268][269][270][271][272][273][274][275] 2010 through time and space (Larson & Julian 1999). This fine-scale genetic heterogeneity, termed chaotic genetic patchiness (Johnson & Black 1982), is characterized by low level genetic differentiation among and between adult and recruit populations (i.e. low F ST ) that is not consistent in space or time (Johnson & Black 1984).There are 4 main hypotheses put forth to explain chaotic genetic patchiness (Larson & Julian 1999); each infers a different mechanism by which this pattern can be explained. These hypotheses are (1) localized postsettlement selection resulting from microgeographic variation in environmental conditions, (2) variable local natural selection on pre-settlement individuals generating variability in cohorts through space and time, (3) 'sweepstakes chance-matching' (Hedgecock 1994) created by variable reproductive success of the adult source populations as a result of stochastic processes. This causes a genetic drift effect during the larval stage and a subsequent reduction in genetic variability in the recruit populations, and (4) spatial and temporal variability in the genetic composition of recruits caused by fluctuations in the source of larvae (Selkoe et al. 2006).Post-settlement natural selection has been invoked to explain spatial genetic heterogeneity in a marine snail (Johannesson et al. 1995). Generally, however, most studies have shown that gen...

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Variability in connectivity indicated by chaotic genetic patchiness within and among populations of a marine fish

Hogan¹,

Thiessen²,

Heath³

2010

Mar. Ecol. Prog. Ser.

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“…This approach has been used successfully to predict spatial variation in settlement of Crown of Thorns starfish (Black and Moran 199 1) and abalone (McShane et al 1988). Correlation between settlement and coastal oceanography is not surprising in the case of many invertebrates, because the relatively weakswimming larvae tend to behave as passive particles in all but the weakest currents (Black et al 199 1;Mullineaux and Butman 199 1).…”

Section: Notesmentioning

confidence: 99%

Temporal variability in settlement of a coastal fish (Sillaginodes punctata) determined by low‐frequency hydrodynamics

Jenkins¹,

Black²

1994

Limnology & Oceanography

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The temporal pattern of settlement of King George whiting (Sillaginodes punctata) in Port Phillip Bay, Australia, was compared with the temporal ingress of passive particles to the bay from adjacent coastal waters, predicted by a numerical hydrodynamic and dispersal model. The settlement data and the numerical model showed significantly correlated pulsing on an approximate 10–14‐d period. Pulsing was not obviously associated with individual oceanographic or climatic variables but was most likely caused by a combination of factors related to the passage of pressure systems and associated rotating winds that occur on a 7–14‐d cycle in this region. Such factors may include low‐frequency oscillations related to barometric pressure, reversals in longshore currents, and coastal trapped waves. Additionally, these processes would interact with the spring‐neap tidal cycle. The strong tidal currents in the region of settlement may overwhelm the behavioral responses of larvae and cause them to act as passive particles. High interannual variability in recruitment of S. punctata may relate to variation in the frequency and timing of hydrodynamic events that allow transport of larvae to juvenile habitats.

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“…Models can make predictions based on 'passive' dispersal with simulated larvae well-mixed through the water column and, in a number of studies, simulation of passive dispersal has successfully predicted larval distribution or settlement in space or time (McShane et al 1988, Clancy & Cobb 1997, Jenkins et al 1997, Van der Veer et al 1998). Hydrodynamic numerical modelling can also be coupled with modelled attributes of larval behaviour (Tremblay et al 1994, Hinckley et al 1996, Verdierbonnet et al 1997, providing a possible test of the influence of observed behaviours on larval dispersal by comparing predictions of models, with and without behaviour, with actual larval dispersal/-settlement distributions.…”

Section: Introductionmentioning

confidence: 99%

The role of passive transport and the influence of vertical migration on the pre-settlement distribution of a temperate, demersal fish:numerical model predictions compared with field sampling

Jenkins¹,

Black²,

Keough³

1999

Mar. Ecol. Prog. Ser.

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We compared spatial variation in the abundance of I n g George whiting Sillaginodes punctata post-larvae in the southern part of Port Phillip Bay, Australia, with predictions of hydrodynamic and dispersal numerical models that included passive transport, and vertical migratory behaviour previously observed in the field. Post-larvae were sampled at 20 sites on cruises in the spring of 1994 and 1995. Modelling included a 'passive' case with particles mixed through the water column, 'active' behaviour mirroring die1 and tidal variation in the field, and 'day/night' behaviour where behaviour in the field was averaged across tides. Correlations between model simulations and post-larval distribution were highest in 1995 and were similar amongst the 3 simulations (58% of variation explained for both the passive and dayhight cases). In 1994, variation in the spatial distribution explained was highest for the passive case, intermediate for the active case and lowest for the day/night case. Prevailing winds were quite different between years, with westerlies prevailing in 1994 but significant periods of easterly winds in 1995. These differences were reflected by particle cllstributions from simulation~ including behaviour, but were not reflected in post-larval distributions. A negative correlation was found between post-larval abundances and distance from shore. When model predictions and distance from shore were combined in a multiple regression, approximately 70% of the spatial variation in post-larval abundance was explained in 1995. The results imply that although the passive transport model was an excellent predictor of post-larval abundance in both years, observed vertical migration was not influencing transport, and post-larvae were closer to shore than expected, possibly due to behaviours other than vertical migration. The close association of S. punctata post-larvae with the coastline provided a mechanism for transport further into the bay, against the prevailing wind field.

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Recruitment processes in Haliotis rubra (Mollusca: Gastropoda) and regional hydrodynamics in southeastern Australia imply localized dispersal of larvae

Cited by 110 publications

References 24 publications

Variability in connectivity indicated by chaotic genetic patchiness within and among populations of a marine fish

Variability in connectivity indicated by chaotic genetic patchiness within and among populations of a marine fish

Temporal variability in settlement of a coastal fish (Sillaginodes punctata) determined by low‐frequency hydrodynamics

The role of passive transport and the influence of vertical migration on the pre-settlement distribution of a temperate, demersal fish:numerical model predictions compared with field sampling

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