Data

Data from: Connectivity in grey reef sharks (Carcharhinus amblyrhynchos) determined using empirical and simulated genetic data

Macquarie University
Momigliano, Paolo ; Harcourt, Robert ; Robbins, William D. ; Stow, Adam
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5061/dryad.362s5&rft.title=Data from: Connectivity in grey reef sharks (Carcharhinus amblyrhynchos) determined using empirical and simulated genetic data&rft.identifier=10.5061/dryad.362s5&rft.publisher=Macquarie University&rft.description=Grey reef sharks (Carcharhinus amblyrhynchos) can be one of the numerically dominant high order predators on pristine coral reefs, yet their numbers have declined even in the highly regulated Australian Great Barrier Reef (GBR) Marine Park. Knowledge of both large scale and fine scale genetic connectivity of grey reef sharks is essential for their effective management, but no genetic data are yet available. We investigated grey reef shark genetic structure in the GBR across a 1200 km latitudinal gradient, comparing empirical data with models simulating different levels of migration. The empirical data did not reveal any genetic structuring along the entire latitudinal gradient sampled, suggesting regular widespread dispersal and gene flow of the species throughout most of the GBR. Our simulated datasets indicate that even with substantial migrations (up to 25% of individuals migrating between neighboring reefs) both large scale genetic structure and genotypic spatial autocorrelation at the reef scale were maintained. We suggest that present migration rates therefore exceed this level. These findings have important implications regarding the effectiveness of networks of spatially discontinuous Marine Protected Areas to protect reef sharks.Usage NotesMomigliano et al 2015 Microsatellite DatasetDataset containing: 1) sampling location and sex of every individual 2) microsatellite genotypes of all individuals and GenBank accession numbers for ND4 sequences&rft.creator=Momigliano, Paolo &rft.creator=Harcourt, Robert &rft.creator=Robbins, William D. &rft.creator=Stow, Adam &rft.date=2022&rft.edition=1&rft_rights= https://creativecommons.org/publicdomain/zero/1.0/&rft_subject=Other education not elsewhere classified&rft_subject=Holocene&rft_subject=Carcharhinus amblyrhynchos&rft_subject=Marine protected areas&rft_subject=Predators&rft.type=dataset&rft.language=English Access the data

Full description

Grey reef sharks (Carcharhinus amblyrhynchos) can be one of the numerically dominant high order predators on pristine coral reefs, yet their numbers have declined even in the highly regulated Australian Great Barrier Reef (GBR) Marine Park. Knowledge of both large scale and fine scale genetic connectivity of grey reef sharks is essential for their effective management, but no genetic data are yet available. We investigated grey reef shark genetic structure in the GBR across a 1200 km latitudinal gradient, comparing empirical data with models simulating different levels of migration. The empirical data did not reveal any genetic structuring along the entire latitudinal gradient sampled, suggesting regular widespread dispersal and gene flow of the species throughout most of the GBR. Our simulated datasets indicate that even with substantial migrations (up to 25% of individuals migrating between neighboring reefs) both large scale genetic structure and genotypic spatial autocorrelation at the reef scale were maintained. We suggest that present migration rates therefore exceed this level. These findings have important implications regarding the effectiveness of networks of spatially discontinuous Marine Protected Areas to protect reef sharks.

Usage Notes


Momigliano et al 2015 Microsatellite DatasetDataset containing: 1) sampling location and sex of every individual 2) microsatellite genotypes of all individuals and GenBank accession numbers for ND4 sequences

Issued: 11 06 2022

Created: 11 06 2022

Modified: 02 06 2023

This dataset is part of a larger collection

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers