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Genetic connectivity map of Lophelia pertusa based on DivMigrate genetic software and the number of migrants (Nm)
Resource ID
382f23ba-4e45-11ee-89d1-0242ac160006
Title
Genetic connectivity map of Lophelia pertusa based on DivMigrate genetic software and the number of migrants (Nm)
Date
Aug. 31, 2023, 12:13 p.m., Publication
Abstract
In order to better describe both ancient and contemporary migratory flows associated with the North Atlantic abyssal fauna as part of the EC H2020 iAtlantic project, this dataset provides a collection of connectivity maps for several engineer species from hydrothermal springs on the Mid-Atlantic Ridge, from mussels of cold seeps on both sides of the Atlantic and, from deep-water corals in the NE Atlantic. These maps and the associated migrant flow matrices are derived from several demogenetic model analyses (dadi, moments and divmigrate) using multi-locus genotype data derived from a sub-sampling of the genomes of these target species. For each species, the dataset includes a series of shapefiles with a pdf map, the file of the geographic coordinates of the studied localities with a flow matrix, as well as the file of the multi-locus genotypes used to carry out the genetic analysis of the populations and establish the migratory flows. The original data in PANGAEA can be accessed at https://doi.org/10.1594/PANGAEA.961199.
Edition
--
Owner
jollivet
Point of Contact
jollivet@sb-roscoff.fr
Purpose
--
Maintenance Frequency
None
Type
not filled
Restrictions
None
None
License
Creative Commons Attribution 4.0 International
Language
eng
Temporal Extent
Start
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End
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Supplemental Information
No information provided
Data Quality
The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data.
Extent
  • x0: -11.066176414489700
  • x1: 7.000000000000000
  • y0: 39.305557250976600
  • y1: 61.000000000000000
Spatial Reference System Identifier
EPSG:4326
Keywords
no keywords
Category
geoscientificInformation
Regions
Global