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

Ovenden, J. 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). pp. 201-207. ISSN 1323-1650

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Article Link(s): http://dx.doi.org/10.1071/mf12314

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.

Item Type:Article
Business groups:Animal Science
Additional Information:Ovenden, Jennifer R. Csiro publishing Collingwood
Keywords:Australia demography dispersal elasmobranch fisheries management migration Timor Trench northern australia mitochondrial-dna management pacific conservation indonesia oceans water
Subjects:Aquaculture and Fisheries > Fisheries > Fishery research
Science > Biology > Genetics
Deposited On:17 Jul 2014 02:26
Last Modified:17 Jul 2014 02:26

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