2015
DOI: 10.1016/j.gecco.2015.07.005
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Marine reserves help preserve genetic diversity after impacts derived from climate variability: Lessons from the pink abalone in Baja California

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Cited by 48 publications
(39 citation statements)
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“…Such networks should also take genetic diversity into account, aiming to maximize genetic diversity within protected areas (Munguia‐Vega et al., ; Nielsen, Berger, Henriques, Selkoe, & von der Heyden, ; Pope, Riginos, Ovenden, Keyse, & Blomberg, ) as well as considering the connections between them (e.g., Beger et al., ). Our results show a high contribution to genetic diversity from two protected areas (Porquerolles and Corsica), although this was not observed in the Calanques zone, another protected area.…”
Section: Discussionmentioning
confidence: 99%
“…Such networks should also take genetic diversity into account, aiming to maximize genetic diversity within protected areas (Munguia‐Vega et al., ; Nielsen, Berger, Henriques, Selkoe, & von der Heyden, ; Pope, Riginos, Ovenden, Keyse, & Blomberg, ) as well as considering the connections between them (e.g., Beger et al., ). Our results show a high contribution to genetic diversity from two protected areas (Porquerolles and Corsica), although this was not observed in the Calanques zone, another protected area.…”
Section: Discussionmentioning
confidence: 99%
“…Genetic data can also contribute to other measures of the effectiveness of MPAs. For example, higher genetic D r a f t diversity within MPAs, compared to non-protected areas, could be evidence of larger effective population sizes and therefore, in many cases, considered an indication of an effective MPA (Syms and Carr 2001;Munguía-Vega et al 2015). Additionally, genetic patterns of isolation by distance can be indicative of the amount of larval dispersal (Palumbi 2003;Kinlan and Gaines 2003) and genetic connectivity between MPAs and surrounding non-protected areas (Green et al 2015;Pujolar et al 2015;Calò et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Using the connectivity matrix, we calculated a suite of connectivity metrics to characterize connectivity among spatial features. Areas with a high in-degree may have higher genetic and species diversity (Kahilainen, Puurtinen, & Kotiaho, 2014;Munguía-Vega et al, 2015) as a result of the high number of incoming connections. To identify important stepping-stones that facilitate connectivity in a network, we calculated betweenness centrality (i.e., number of times a particular node served as a stepping-stone in the shortest paths between all other pairs of nodes in the network).…”
Section: Indicators Of Potential Connectivitymentioning
confidence: 99%
“…In-degree indicates the number of connections coming into each planning unit (i.e., sink) (Minor & Urban, 2008). Areas with a high in-degree may have higher genetic and species diversity (Kahilainen, Puurtinen, & Kotiaho, 2014;Munguía-Vega et al, 2015) as a result of the high number of incoming connections. However, planning units with high in-degree may be susceptible to outbreaks and invasive species (e.g., Hock, Wolff, Condie, Anthony, & Mumby, 2014).…”
Section: Indicators Of Potential Connectivitymentioning
confidence: 99%