2019
DOI: 10.1038/s41598-019-50753-5
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Population recovery changes population composition at a major southern Caribbean juvenile developmental habitat for the green turtle, Chelonia mydas

Abstract: Understanding the population composition and dynamics of migratory megafauna at key developmental habitats is critical for conservation and management. The present study investigated whether differential recovery of Caribbean green turtle (Chelonia mydas) rookeries influenced population composition at a major juvenile feeding ground in the southern Caribbean (Lac Bay, Bonaire, Caribbean Netherlands) using genetic and demographic analyses. Genetic divergence indicated a strong temporal shift in population compo… Show more

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Cited by 15 publications
(15 citation statements)
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“…Model 1 estimated rookery contributions by incorporating the haplotype frequencies from each potential source and both offshore sites along with the size of each rookery (Tables S1 and S2 ). We sourced rookery sizes from the literature (Bellini et al, 2013 ; Blumenthal et al, 2021 ; Broderick et al, 2006 ; Girard et al, 2016 ; Millán‐Aguilar, 2009 ; Rodríguez‐Martínez et al, 2021 ; Seminoff et al, 2015 ; Shamblin et al, 2015 ; Shamblin, Witherington, et al, 2018 ; van der Zee et al, 2019 ; Vera & Buitrago, 2012 ) to represent nest counts as close to the sampling period as possible given recent increases in green turtle rookery sizes at many sites (Seminoff et al, 2015 ). Model 2 also included particle back‐tracking probabilities from rookeries to the sampled area as calculated by Putman et al ( 2015 ).…”
Section: Methodsmentioning
confidence: 99%
“…Model 1 estimated rookery contributions by incorporating the haplotype frequencies from each potential source and both offshore sites along with the size of each rookery (Tables S1 and S2 ). We sourced rookery sizes from the literature (Bellini et al, 2013 ; Blumenthal et al, 2021 ; Broderick et al, 2006 ; Girard et al, 2016 ; Millán‐Aguilar, 2009 ; Rodríguez‐Martínez et al, 2021 ; Seminoff et al, 2015 ; Shamblin et al, 2015 ; Shamblin, Witherington, et al, 2018 ; van der Zee et al, 2019 ; Vera & Buitrago, 2012 ) to represent nest counts as close to the sampling period as possible given recent increases in green turtle rookery sizes at many sites (Seminoff et al, 2015 ). Model 2 also included particle back‐tracking probabilities from rookeries to the sampled area as calculated by Putman et al ( 2015 ).…”
Section: Methodsmentioning
confidence: 99%
“…We removed from our final dataset haplotypes found in mixed stock aggregations but not yet described in rookeries 14 , and considered only rookeries in the northwest Atlantic and the Greater Caribbean to reduce noise from unlikely contributors 49 . Though mixed stock data published by van der Zee et al 22 uses a timeframe slightly different than the one from IRL and TRID, we included their data in our dataset evaluating variations in haplotype frequencies to assess possible variations in other sites as well.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, to assess how contributions from rookeries changed over time based on mixed stocks haplotype frequencies and rookery sizes, we also built two models: MSA 5 —“old” sampling period and “historical” source size, and MSA 6 —“new” sampling period and “recent” source size. We considered samples from mixed stock BON 22 to be from comparable timeframes (2006–07 and 2015–16) to IRL and TRID. Therefore, we added haplotype frequencies from BON to our "old" and "new" sampling periods in MSA 5 and MSA 6 , and used the same haplotypic data from MSA 3 /MSA 4 for all other mixed stocks (Supplementary Table S3 ).…”
Section: Methodsmentioning
confidence: 99%
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