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the humboldt current system of northern and central chile - figema

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MARTIN THIEL ET AL.1995, Kinlan & Gaines 2003, Palumbi 2003, Sotka & Palumbi 2006). Similarly, trace elementmicrochemistry (elemental fingerprinting) (Swearer et al. 1999, DiBacco & Levin 2000, Zacherlet al. 2003) or stable isotope ratios (Herzka et al. 2002, Levin 2006) hold promise for identifyinglarval origin under specific environmental conditions. However, <strong>the</strong>se techniques do not yet providea quantitative measure <strong>of</strong> <strong>the</strong> fate <strong>of</strong> all propagules released from a focal location (i.e., <strong>the</strong> ‘dispersalkernel’). Therefore, spatially explicit connectivity among local populations, <strong>the</strong> type <strong>of</strong> informationneeded regarding <strong>the</strong> location <strong>of</strong> MPAs (Botsford et al. 1994, Lockwood et al. 2002, Kaplan 2006),remains tractable only through <strong>the</strong> combination <strong>of</strong> biophysical models linking larval attributes withadvection-diffusion physical processes (Marín & Moreno 2002, Largier 2003, Siegel et al. 2003,Guizien et al. 2006, Kaplan 2006, Levin 2006, Aiken et al. 2007).Studies <strong>of</strong> dispersal in HCSStudies <strong>of</strong> dispersal within <strong>the</strong> HCS are scarce at best. Santelices (1990a) provides a review <strong>of</strong>dispersal in marine seaweeds <strong>and</strong> points out that most information comes from laboratory studiesconducted under idealised hydrographic conditions or from ra<strong>the</strong>r anecdotal evidence <strong>of</strong> colonisation<strong>of</strong> new habitats. Studies conducted by incubating seawater samples have demonstrated <strong>the</strong>existence <strong>of</strong> a multispecific ‘spore cloud’ which is present year-round in coastal waters <strong>of</strong> <strong>central</strong>Chile (H<strong>of</strong>fmann & Ugarte 1985, H<strong>of</strong>fmann 1987). These studies showed <strong>the</strong> patchy <strong>and</strong> temporallyvariable nature <strong>of</strong> <strong>the</strong> spore cloud, but <strong>the</strong> dispersal distances <strong>and</strong> mechanisms involved are unclear.Considering <strong>the</strong> small size <strong>of</strong> spores (5–150 µm) <strong>and</strong> <strong>the</strong>ir short duration (a few hours, but it canbe up to few days; Santelices, 1990a), stochastic turbulence diffusion probably plays a major rolein shaping <strong>the</strong> dispersal kernels in algal dispersal. Nearshore advective <strong>current</strong>s within <strong>the</strong> dispersalscale <strong>of</strong> spores (e.g., tidal <strong>current</strong>s, breaking waves, internal tidal bores) cannot be ruled out,however. Recent studies by Bobadilla & Santelices (2005) conducted by sampling <strong>the</strong> water columnwith a semi-automated sampling device (Bobadilla & Santelices 2004), illustrate <strong>the</strong> great temporalvariability in multispecific dispersal kernels for major algal groups <strong>and</strong> dispersal distances exceeding100 m.The most direct studies <strong>of</strong> dispersal <strong>of</strong> invertebrates in <strong>the</strong> HCS are restricted to species withshort larval duration, such as tunicates (Castilla et al. 2002a,b, 2004a). These studies sampled larvaldistribution at distances from a unique adult population source. Quantitative aspects <strong>of</strong> dispersalfor species with long-lived larval stages are virtually unknown for any invertebrate or coastal fishspecies in <strong>the</strong> HCS. Several physical processes that can increase <strong>of</strong>fshore <strong>and</strong> alongshore advection,or instead increase retention <strong>of</strong> larvae near shore, have been described for <strong>the</strong> coast <strong>of</strong> Chile, suchas upwelling filaments, cyclonic circulation in embayments, topographically controlled eddies <strong>and</strong>upwelling shadows <strong>and</strong> traps (Vargas et al. 1997, Marín et al. 2001, Castilla et al. 2002a, Escribanoet al. 2002, Wieters et al. 2003, Narváez et al. 2004). These features undoubtedly influence dispersal<strong>of</strong> coastal species, potentially increasing self-recruitment (Swearer et al. 2002), but <strong>the</strong>ir effect onconnectivity among adult populations <strong>of</strong> any species is hard to demonstrate. A few high-resolution3-dimensional numerical models <strong>of</strong> <strong>current</strong>s in <strong>the</strong> coastal ocean have been developed <strong>and</strong> testedagainst physical data for different sections <strong>of</strong> <strong>the</strong> coast <strong>of</strong> Chile (Mesías et al. 2001, Aiken et al.2007). Coupled with Lagrangian larval-tracking techniques <strong>the</strong>se biophysical models can generatetestable hypo<strong>the</strong>ses about dispersal <strong>and</strong> connectivity in real biological <strong>system</strong>s (e.g., Aiken et al.2007).There is an urgent requirement to develop highly variable, neutral molecular markers such asmicrosatellites for algal <strong>and</strong> invertebrate species inhabiting <strong>the</strong> HCS <strong>system</strong> to improve <strong>the</strong> abilityto infer dispersal distances over ecological timescales <strong>and</strong> to test hypo<strong>the</strong>ses about connectivity (seealso Population connectivity, p. 252ff.) derived from <strong>the</strong>oretical models.248

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