Global patterns in marine dispersal estimates: the influence of geography, taxonomic category and life history

Bradbury, Ian; Laurel, Benjamin J.; Snelgrove, Paul V. R.; Bentzen, Paul; Campana, Steven E.

doi:10.1098/rspb.2008.0216

Cited by 261 publications

(256 citation statements)

References 43 publications

Supporting

Mentioning

249

Contrasting

Order By: Relevance

“…In a recent review, Bradbury et al (2008) asserted that dispersal studies have historically focused on "low-dispersal/low-latitude" species, and they suggested that these stud- Jones et al (1999) The data presented in this table are new. The data analysis and figures presented in this paper were based on these new data and the data presented in Shanks et al (2003a).…”

Section: Discussionmentioning

confidence: 99%

Pelagic Larval Duration and Dispersal Distance Revisited

Shanks

2009

The Biological Bulletin

667

605

View full text Add to dashboard Cite

Abstract. I present dispersal distances for 44 species with data on propagule duration (PD) for 40 of these. Data were combined with those in Shanks et al. (2003; Ecol. Appl. 13: S159 -S169), providing information on 67 species. PD and dispersal distance are correlated, but with many exceptions. The distribution of dispersal distances was bimodal. Many species with PDs longer than 1 day dispersed less than 1 km, while others dispersed tens to hundreds of kilometers. Organisms with short dispersal distances were pelagic briefly or remained close to the bottom while pelagic. Null models of passively dispersing propagules adequately predict dispersal distance for organisms with short PDs (Ͻ1 day), but overestimate dispersal distances for those with longer PDs. These models predict that propagules are transported tens of kilometers offshore; however, many types remain within the coastal boundary layer where currents are slower and more variable, leading to lower than predicted dispersal. At short PDs, dispersal distances estimated from genetic data are similar to observed. At long PDs, genetic data generally overestimate dispersal distance. This discrepancy is probably due to the effect of rare individuals that disperse long distances, thus smoothing genetic differences between populations. Larval behavior and species' life-history traits can play a critical role in determining dispersal distance.

show abstract

Section: Discussionmentioning

confidence: 99%

Pelagic Larval Duration and Dispersal Distance Revisited

Shanks

2009

The Biological Bulletin

667

605

View full text Add to dashboard Cite

show abstract

“…Even when the long larval dispersal distances of Pisaster and mussels (Wieters et al 2008) are taken into account, seston should disperse much more frequently, as it is constantly in the water column. Further, given the much longer pelagic larval duration of echinodermata relative to bivalves (Bradbury et al 2008), Pisaster should disperse more frequently over generational timescales between distant sites than mussels. Paine (1966) identified other analogous food webs where the consumer dispersal rate is expected to be less frequent than that of the predator or the resource; however, this dispersal structure is expected generally where the consumer is attached to a substrate.…”

Section: What Movement Mechanisms Can Lead Tomentioning

confidence: 99%

Nonhierarchical Dispersal Promotes Stability and Resilience in a Tritrophic Metacommunity

Pedersen

Marleau

Granados

et al. 2016

The American Naturalist

View full text Add to dashboard Cite

Community interactions (e.g., predation, competition) can be characterized by two factors: their strengths and how they are structured between and within species. Both factors play a role in determining community dynamics. In addition to trophic interactions, dispersal acts as an interaction between separate populations. As with other interactions, the structure of dispersal can affect the stability of a system. However, the primary structure that has been studied in consumer-resource models has been hierarchical dispersal, where between-patch dispersal rates increase with trophic level. Here we use analytical, numerical, and simulation approaches on a two-patch, three-species metacommunity model to investigate the relationship between structure and community stability and resilience. We show that metacommunity stability is greater in systems with both weak and strong dispersal rates. Our system is stabilized by the formation of patterns when predators disperse frequently and herbivores disperse rarely, and via asynchrony when both predators and herbivores disperse infrequently. Our results show how interaction strengths within both trophic and spatial networks shape metacommunity stability.

show abstract

“…However, the efficacy of MPAs as well as the persistence and resilience of marine populations in the face of disturbances in general are fundamentally linked to the scale of dispersal and the degree of connectivity among populations (Eckert 2003;Botsford et al 2009). In addition, dispersal and connectivity drive population genetic differentiation and thus play key roles in the evolution of local adaptation (Bradbury et al 2008;Walter et al 2009). …”

Section: Introductionmentioning

confidence: 99%

Local retention, dispersal and fluctuating connectivity among populations of a coral reef fish

et al. 2011

View full text Add to dashboard Cite

The persistence and resilience of marine populations in the face of disturbances is directly affected by connectivity among populations. Thus, understanding the magnitude and pattern of connections among populations and the temporal variation in these patterns is critical for the effective management and conservation of marine species. Despite recent advances in our understanding of marine connectivity, few empirical studies have directly measured the magnitude or pattern of connections among populations of marine fishes, and none have explicitly investigated temporal variation in demographic connectivity. We use genetic assignment tests to track the dispersal of 456 individual larval fishes to quantify the extent of connectivity, dispersal, self-recruitment and local retention within and among seven populations of a coral reef fish (Stegastes partitus) over a three-year period. We found that some larvae do disperse long distances (*200 km); however, self-recruitment was a regular phenomenon. Importantly, we found that dispersal distances, self-recruitment, local retention and the pattern of connectivity varied significantly among years. Our data highlight the unpredictable nature of connectivity, and underscore the need for more, temporally replicated, empirical measures of connectivity to inform management decisions.

show abstract

Global patterns in marine dispersal estimates: the influence of geography, taxonomic category and life history

Cited by 261 publications

References 43 publications

Pelagic Larval Duration and Dispersal Distance Revisited

Pelagic Larval Duration and Dispersal Distance Revisited

Nonhierarchical Dispersal Promotes Stability and Resilience in a Tritrophic Metacommunity

Local retention, dispersal and fluctuating connectivity among populations of a coral reef fish

Contact Info

Product

Resources

About