2013
DOI: 10.1111/ddi.12114
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Understanding the effectiveness of marine protected areas using genetic connectivity patterns and Lagrangian simulations

Abstract: Aim: To explore the patterns of connectivity between marine protected areas (MPAs) and neighbouring non-protected areas and the scale at which the benefits of MPAs are expected using the white sea bream as model species. Location: Marine protected area of Torre Guaceto (TGMPA, Italy) in the south Adriatic Sea. Methods: A multidisciplinary approach was used combining (1) a genetic survey using 12 highly informative microsatellite loci of samples collected within the MPA and in several locations up to 100 km fro… Show more

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Cited by 72 publications
(80 citation statements)
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References 70 publications
(95 reference statements)
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“…Although the minimum numbers of loci and individuals required to provide a robust test for genetic differentiation in marine species with pelagic ELS have been the subject of much debate (Hellberg, 2009;Paetkau et al, 2004), the number of loci used in the present study was comparable with those employed in many similar studies (e.g., Ball et al, 2007;Bekkevold et al, 2005;Buonaccorsi et al, 2002;Damerau et al, 2012;Pujolar et al, 2013). Furthermore, comparisons of simulated and empirical data sets, by Hale et al (2012), indicate that the use of sample sizes greater than ca 25-30 individuals does not have a significant impact on estimates of genetic differentiation.…”
Section: Genetic Connectivitymentioning
confidence: 83%
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“…Although the minimum numbers of loci and individuals required to provide a robust test for genetic differentiation in marine species with pelagic ELS have been the subject of much debate (Hellberg, 2009;Paetkau et al, 2004), the number of loci used in the present study was comparable with those employed in many similar studies (e.g., Ball et al, 2007;Bekkevold et al, 2005;Buonaccorsi et al, 2002;Damerau et al, 2012;Pujolar et al, 2013). Furthermore, comparisons of simulated and empirical data sets, by Hale et al (2012), indicate that the use of sample sizes greater than ca 25-30 individuals does not have a significant impact on estimates of genetic differentiation.…”
Section: Genetic Connectivitymentioning
confidence: 83%
“…This study highlights the value of employing complementary methods, such as genetic and otolith microchemistry analyses, to investigate connectivity in marine species, and, in particular, for assessing the likely extent of dispersal during different phases of the life cycle (e.g., see Berry et al, 2012a;Collins et al, 2013;Pujolar et al, 2013).…”
Section: Genetic Connectivitymentioning
confidence: 98%
“…The white seabream, that clearly responds to protection from fi shing by increasing in density and size (Guidetti 2006, Guidetti and Sala 2007, Di Franco et al 2012a, 2013, usually inhabits the littoral zone in shallow waters down to about 50 m (Tortonese 1965, Harmelin-Vivien et al 1995. Adults produce eggs and larvae that develop in pelagic waters for a period ranging from 13 to 28 days (Macpherson and Raventos 2006, Di Franco and Guidetti 2011, Di Franco et al 2011 and that are able to disperse over hundreds of kilometres (Di Franco et al 2012a, 2012b, Pujolar et al 2013.…”
Section: Methodsmentioning
confidence: 99%
“…Adults produce eggs and larvae that develop in pelagic waters for a period ranging from 13 to 28 days (Macpherson and Raventos 2006, Di Franco and Guidetti 2011, Di Franco et al 2011 and that are able to disperse over hundreds of kilometres (Di Franco et al 2012a, 2012b, Pujolar et al 2013. Then larvae metamorphose and settle at about 1 cm total length (TL) in shallow (about 2 m depth) coastal benthic habitats, mainly within small bays with mixed sand and rocky bottom (Tortonese 1965, Harmelin-Vivien et al 1995see Bussotti and Guidetti 2011 for specifi c evidence referred to the study area).…”
Section: Methodsmentioning
confidence: 99%
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