Crinkles in connectivity: combining genetics and other types of biological data to estimate movement and interbreeding between populations

Ovenden, Jennifer R. (2013) Crinkles in connectivity: combining genetics and other types of biological data to estimate movement and interbreeding between populations. Marine and Freshwater Research, 64 3: 201-207. doi:10.1071/MF12314


Author Ovenden, Jennifer R.
Title Crinkles in connectivity: combining genetics and other types of biological data to estimate movement and interbreeding between populations
Journal name Marine and Freshwater Research   Check publisher's open access policy
ISSN 1323-1650
1448-6059
Publication date 2013-03-18
Year available 2013
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1071/MF12314
Volume 64
Issue 3
Start page 201
End page 207
Total pages 7
Place of publication Collingwood, VIC, Australia
Publisher CSIRO Publishing
Collection year 2014
Language eng
Abstract Marine species generally have large population sizes, continuous distributions and high dispersal capacity. Despite this, they are often subdivided into separate populations, which are the basic units of fisheries management. For example, populations of some fisheries species across the deep water of the Timor Trench are genetically different, inferring minimal movement and interbreeding. When connectivity is higher than the Timor Trench example, but not so high that the populations become one, connectivity between populations is crinkled. Crinkled connectivity occurs when migration is above the threshold required to link populations genetically, but below the threshold for demographic links. In future, genetic estimates of connectivity over crinkled links could be uniquely combined with other data, such as estimates of population size and tagging and tracking data, to quantify demographic connectedness between these types of populations. Elasmobranch species may be ideal targets for this research because connectivity between populations is more likely to be crinkled than for finfish species. Fisheries stock-assessment models could be strengthened with estimates of connectivity to improve the strategic and sustainable harvesting of biological resources.
Keyword Australia
Demography
Dispersal
Elasmobranch
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Non HERDC
School of Biological Sciences Publications
 
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