A study of crab larvae dispersal on the Western Iberian Shelf: Physical processes

Peliz, Álvaro; Marchesiello, Patrick; Dubert, Jesús; Marta‐Almeida, Martinho; Roy, Claude; Queiroga, Henrique

doi:10.1016/j.jmarsys.2006.11.007

Cited by 118 publications

(95 citation statements)

References 27 publications

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“…Under strong northwesterly flow amongst the islands Figure 4D, the majority of larvae successfully recruited, either locally to adjacent reefs on the same island or seeding reefs of islands to the west and north ( Figure 5D). Overall, there seems to be a general northwesterly predominant directionality in dispersal in Maui Nui; such a predominant directionality in dispersal due to relatively consistent forcing has been observed in other locations (Gaines et al, 2003;Peliz et al, 2007). The decision to model such a relatively short maximum corallarval dispersal competency period (72 h) compared to many other studies (Oliver et al, 1992;Vaz et al, 2013;Kool and Nichol, 2015) was demonstrated to be sound because the modeled larvae densities generally decreased more than two orders of magnitude within 24 h (Figure 6).…”

Section: Larval Dispersal Patternsmentioning

confidence: 62%

“…The drifter speeds and trajectories, in conjunction with the model results made over eight spawning periods in four different summer seasons, presented here along with previous genetic studies (Conception et al, 2014), suggest that many of the reef tracts in Maui Nui seed other reefs on their own island and on adjacent islands 2010-07-25 2010-08-24 2011-07-14 2011-08-13 2012-08-01 2013-07-03 2013-07-22 2013-08-21 Hours Hours Hours over relatively short (O∼hours to days) time scales. Although larval competency and dispersal potential for many coral species can be quite high (Richmond, 1987;Wilson and Harrison, 1998;Kolinski and Cox, 2003), it has been suggested (Miller and Mundy, 2003) that dispersal of broadcast-spawning corals may be not as great as previously assumed because not only does larval density decrease exponentially with time (Sammarco and Andrews, 1988;Peliz et al, 2007), but so does competency to settle (Peliz et al, 2007). If this is the case, the short time scales of dispersal shown here are important because both larval density ( Figure 6) and recruitment success decrease quickly with time and distance (Sammarco and Andrews, 1988) due to mixing and horizontal dispersion (Wolanski et al, 1989;Oliver et al, 1992).…”

Section: ) and Genetic Methodsmentioning

confidence: 99%

“…The timing of the spawning events of the dominant reef-building coral (Jokiel and Rodgers, 2007), P. compressa, modeled were based on the month and lunar cycle ( Table 1) identified in a previous study (Kolinski and Cox, 2003). Particle (larval) diffusion processes (Largier, 2003) were included by adding a random disturbance to the current velocity fields (Peliz et al, 2007), which resulted in dilution increasing exponentially with time.…”

Section: Larval Dispersal and Settling Modelingmentioning

confidence: 99%

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Modeling Fine-Scale Coral Larval Dispersal and Interisland Connectivity to Help Designate Mutually-Supporting Coral Reef Marine Protected Areas: Insights from Maui Nui, Hawaii

et al. 2017

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Connectivity among individual marine protected areas (MPAs) is one of the most important considerations in the design of integrated MPA networks. To provide such information for managers in Hawaii, USA, a numerical circulation model was developed to determine the role of ocean currents in transporting coral larvae from natal reefs throughout the high volcanic islands of the Maui Nui island complex in the southeastern Hawaiian Archipelago. Spatially-and temporally-varying wind, wave, and circulation model outputs were used to drive a km-scale, 3-dimensional, physics-based circulation model for Maui Nui. The model was calibrated and validated using satellite-tracked ocean surface current drifters deployed during coral-spawning conditions, then used to simulate the movement of the larvae of the dominant reef-building coral, Porites compressa, from 17 reefs during eight spawning events in 2010-2013. These simulations make it possible to investigate not only the general dispersal patterns from individual coral reefs, but also how anomalous conditions during individual spawning events can result in large deviations from those general patterns. These data also help identify those reefs that are dominated by self-seeding and those where self-seeding is limited to determine their relative susceptibility to stressors and potential roadblocks to recovery. Overall, the numerical model results indicate that many of the coral reefs in Maui Nui seed reefs on adjacent islands, demonstrating the interconnected nature of the coral reefs in Maui Nui and providing a key component of the scientific underpinning essential for the design of a mutually supportive network of MPAs to enhance conservation of coral reefs.

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Section: Larval Dispersal Patternsmentioning

confidence: 62%

Section: ) and Genetic Methodsmentioning

confidence: 99%

Section: Larval Dispersal and Settling Modelingmentioning

confidence: 99%

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Modeling Fine-Scale Coral Larval Dispersal and Interisland Connectivity to Help Designate Mutually-Supporting Coral Reef Marine Protected Areas: Insights from Maui Nui, Hawaii

et al. 2017

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“…It is implausible to expect the Carcinus larvae to make this exact journey with this exact timing because, at least until their later stages, the planktonic larvae cannot swim a significant distance across the shelf. Also, the larvae do not spend all of their time at the surface (19,20). Shanks and colleagues have found the observed mean dispersal distance of larvae is usually three to five times less than what one would predict from the larval duration and the mean surface currents in the central part of the continental shelf (21,22).…”

Section: Discussion Of the Carcinus Systemmentioning

confidence: 99%

Asymmetric dispersal allows an upstream region to control population structure throughout a species’ range

Pringle

Blakeslee

Byers

et al. 2011

Proc. Natl. Acad. Sci. U.S.A.

126

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In a single well-mixed population, equally abundant neutral alleles are equally likely to persist. However, in spatially complex populations structured by an asymmetric dispersal mechanism, such as a coastal population where larvae are predominantly moved downstream by currents, the eventual frequency of neutral haplotypes will depend on their initial spatial location. In our study of the progression of two spatially separate, genetically distinct introductions of the European green crab (Carcinus maenas) along the coast of eastern North America, we captured this process in action. We documented the shift of the genetic cline in this species over 8 y, and here we detail how the upstream haplotypes are beginning to dominate the system. This quantification of an evolving genetic boundary in a coastal system demonstrates that novel genetic alleles or haplotypes that arise or are introduced into upstream retention zones (regions whose export of larvae is not balanced by import from elsewhere) will increase in frequency in the entire system. This phenomenon should be widespread when there is asymmetrical dispersal, in the oceans or on land, suggesting that the upstream edge of a species' range can influence genetic diversity throughout its distribution. Efforts to protect the upstream edge of an asymmetrically dispersing species' range are vital to conserving genetic diversity in the species.invasive species | marine genetics | phylogeography | physical oceanography N ovel genetic material can appear in a population through mutation, migration, or long-distance dispersal events which may be human-mediated. In a single well-mixed population, the evolution of the frequency of novel neutral alleles will be governed by random genetic drift, not their initial spatial distribution (1). However, spatial structure and complexity can alter this expectation. In a metapopulation linked by migration, alleles introduced into source populations are more likely to persist than those that are introduced into sinks (2-4). Many metapopulations are embedded in complex spatial systems with a preferential direction of migration ("asymmetric dispersal"). In these systems, little is known about the equilibrium frequency of novel alleles or how this frequency depends on the location where these new lineages appear.Asymmetric dispersal is common where propagules are carried long distances by wind or water. In atmospheric, riverine, and oceanic flows, there is usually a predominant flow direction (downstream or downwind) that biases dispersal, and eddies or weather systems that slow or reverse such flow add a stochastic (and potentially upstream) component of migration. For example, many terrestrial plant species have propagules that can be dispersed by the winds (5), and a recent study of the spatial patterns of diversity in moss, liverwort, and lichen flora in the Southern Hemisphere were found to be best explained by the predominantly downwind dispersal (6). Further evidence that asymmetric dispersal can structure a species' genetic patter...

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“…These data have been widely used for forcing coastal ocean models because of their availability and their long and consistent time series and full spatial coverage. In our area of study of the western Iberian coast, many modeling studies of shelf and slope circulation have been forced by NCEP products [e.g., Marta-Almeida et al, 2006, Peliz et al, 2007, which motivated their inclusion in our study.…”

Section: Atmospheric Modelsmentioning

confidence: 99%

Wind forcing of the coastal circulation off north and northwest Iberia: Comparison of atmospheric models

Otero-Tranchero

Ruiz-Villarreal

2008

J. Geophys. Res.

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[1] Comparisons between observed winds and winds from reanalysis (National Centers for Environmental Prediction (NCEP) Reanalysis 1 and 2) and forecast meteorological models (High-Resolution Limited Area Model (HIRLAM)-Agencia Estatal de Meteorologia 0.2°and Atmospheric Research Mesoscale Model version 5-MeteoGalicia with 30 km and 10 km resolution) have been performed for the coastal region around northwest and north Iberia during a typical autumn downwelling period (SeptemberDecember 2002). Observations at buoys and coastal stations and QuikSCAT-derived winds were employed. The analyzed period was dominated by southerly and southwesterly winds associated to the passage of low-pressure systems. Our results show that the westward component is higher on the north coast than on the west coast and that winds are intensified at the western north coast. In this situation, the performance is similar in all model products in general terms, but only HIRLAM represents the reduction of winds in the Cantabrian Sea and NCEP and MM5 overestimate the magnitude of southsouthwest winds. Spatial differences in winds are also obtained for upwelling favorable events, associated either with a high-pressure system north from Iberia at the beginning of the autumn transition (northeasterly winds) or with conditions after the passage of a lowpressure system (northwesterly winds). The existence of sea surface temperature (SST) gradients in the coastal region implies that higher-resolution boundary SST products for meteorological models are necessary. Finally, the effect of these wind products on the coastal circulation was assessed with a 3-D numerical simulation. Differences in the expansion/confinement of river plumes and the surface speed of the slope current are induced by differences in wind patterns over the shelf and slope area among atmospheric models.Citation: Otero, P., and M. Ruiz-Villarreal (2008), Wind forcing of the coastal circulation off north and northwest Iberia: Comparison of atmospheric models,

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A study of crab larvae dispersal on the Western Iberian Shelf: Physical processes

Cited by 118 publications

References 27 publications

Modeling Fine-Scale Coral Larval Dispersal and Interisland Connectivity to Help Designate Mutually-Supporting Coral Reef Marine Protected Areas: Insights from Maui Nui, Hawaii

Modeling Fine-Scale Coral Larval Dispersal and Interisland Connectivity to Help Designate Mutually-Supporting Coral Reef Marine Protected Areas: Insights from Maui Nui, Hawaii

Asymmetric dispersal allows an upstream region to control population structure throughout a species’ range

Wind forcing of the coastal circulation off north and northwest Iberia: Comparison of atmospheric models

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