Proper management of marine fisheries requires an understanding of the spatial and temporal dynamics of marine populations, which can be obtained from genetic data. While numerous fisheries species have been surveyed for spatial genetic patterns, temporally sampled genetic data is not available for many species. We present a phylogeographic survey of the king threadfin Polydactylus macrochir across its species range in northern Australia and at a temporal scale of 1 and 10 yr. Spatially, the overall AMOVA fixation index was Φ st = 0.306 (F ' st = 0.838), p < 0.0001 and isolation by distance was strong and significant (r 2 = 0.45, p < 0.001). Temporally, genetic patterns were stable at a time scale of 10 yr. However, this did not hold true for samples from the eastern Gulf of Carpentaria, where populations showed a greater degree of temporal instability and lacked spatial genetic structure. Temporal but not spatial genetic structure in the Gulf indicates demographic interdependence but also indicates that fishing pressure may be high in this area. Generally, genetic patterns were similar to another co-distributed threadfin species Eleutheronema tetradactylum, which is ecologically similar. However, the historical demography of both species, evaluated herein, differed, with populations of P. macrochir being much younger. The data are consistent with an acute population bottleneck at the last glacio-eustatic low in sea level and indicate that the king threadfin may be sensitive to habitat disturbances.KEY WORDS: Australia · Pelagic larvae · Self-recruitment · Metapopulation · Genetic drift · Polydactylus macrochir
Resale or republication not permitted without written consent of the publisherMar Ecol Prog Ser 449: [263][264][265][266][267][268][269][270][271][272][273][274][275][276] 2012 conservation biology of marine organisms (Planes 2002, Cowen et al. 2007, Hellberg 2007, Jones et al. 2009). Yet, there are many logistical challenges to studying the movements of tiny oceanic larvae, including the extreme spatial scale at which dispersal can take place, and the complex influences of physical properties of the ocean on larval dispersal (Siegel et al. 2008, Cowen & Sponaugle 2009, which all but prevent direct observations of connectivity. Therefore, much of what we know about pelagic larval dispersal comes from indirect genetic approaches (Planes 2002, Hellberg et al. 2002, Hellberg 2007, Hedgecock et al. 2007, Jones et al. 2009, Leis et al. 2011.The delineation of fish stocks through genetic approaches, such as phylogeography and population genetics, is particularly important for the effectiveness of fisheries management and conservation strategies, provided that genetic patterns can be interpreted correctly (Waples 1998). While genetic data is highly sensitive to migration and the movement of genes between areas at some point in time, it often fails to indicate whether connectivity is demographically significant, i.e. it has a meaningful effect on the size and persistence of populations (Waples & Gag...