2012
DOI: 10.3354/meps09477
|View full text |Cite
|
Sign up to set email alerts
|

Green turtle Chelonia mydas mixed stocks in the western South Atlantic, as revealed by mtDNA haplotypes and drifter trajectories

Abstract: Genetic structure and natal origins of green turtle mixed stocks in southern Brazil were assessed based on analyses of mtDNA control region sequences from the Arvoredo Island (n = 115) and Cassino Beach (n = 101) feeding areas. These were compared to other mixed aggregations to examine structuring, and to Atlantic Ocean nesting colonies to evaluate natal origins through Bayesian mixed stock analysis (MSA). In order to develop novel priors, surface drifter trajectories in the Atlantic were analyzed and combined… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

7
51
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 47 publications
(58 citation statements)
references
References 55 publications
7
51
0
Order By: Relevance
“…The HYCOM-ICHTHYOP system accurately predicts the movement of surface-drifting buoys [20] and is well established for studying sea turtle dispersal [6,9,[20][21][22][23]. Young turtles are relatively weak swimmers and divers, and although even minimal swimming can influence the distribution of marine organisms [9,24], these turtles' net movement is largely driven by ocean currents [6,12,15]. Additionally, simulating swimming behaviour would introduce uncertainty that, without a priori information on orientation behaviour of different populations (e.g.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The HYCOM-ICHTHYOP system accurately predicts the movement of surface-drifting buoys [20] and is well established for studying sea turtle dispersal [6,9,[20][21][22][23]. Young turtles are relatively weak swimmers and divers, and although even minimal swimming can influence the distribution of marine organisms [9,24], these turtles' net movement is largely driven by ocean currents [6,12,15]. Additionally, simulating swimming behaviour would introduce uncertainty that, without a priori information on orientation behaviour of different populations (e.g.…”
Section: Methodsmentioning
confidence: 99%
“…Confidence intervals (CIs) for MSA estimates are typically wide owing to inherent limitations: some locations are unavailable for sampling and there are often broadly shared haplotypes among rookeries [6,13]. Thus, considering population connectivity based on physical transport processes is probably necessary to help guide MSA interpretation [12,[14][15][16][17]. Here, the combination of oceanic dispersal simulations and genetic MSA estimates offer a substantive hypothesis regarding basin-wide population connectivity and provide unprecedented information on the distribution of young turtles during their 'lost years'.…”
Section: Introductionmentioning
confidence: 99%
“…Using informed priors allows incorporating knowledge of the species to provide a stronger and more biologically meaningful result in cases where genetic structure is weak (Jensen et al 2013). We used 'rookery population size' and 'geographic distance' from sources as weighted priors, as these are widely used in MSA and influence the estimated composition of the foraging grounds (Proietti et al 2012). 'Geographic distance' prior was set for each stock as the distance from the putative stock to the foraging area, over the sum of distances from all stocks to the foraging area.…”
Section: Msa Of Ecuadorian Foraging Populationsmentioning
confidence: 99%
“…The first (MSA 1 ) had equal prior probabilities for each region, whereas, in the second (MSA 2 ), priors were weighted to reflect annual numbers of nesting females [39,47] as shown in table 1. Following Proietti et al [55], in MSA 3 , priors were weighted according to particle drift trajectories intersecting with each RMU (the percentage of particles arriving at the PANWR from each RMU), and in Figure 1. Location of the PANWR (star) with respect to other C. mydas rookeries (white squares), RMUs (references in rsif.royalsocietypublishing.org J. R. Soc.…”
Section: Mixed Stock Analysismentioning
confidence: 99%