tossm: an R package for assessing performance of genetic analytical methods in a management context.

Mol Ecol Resour

Southwest Fisheries Science Center, NOAA Fisheries Service, 8604 La Jolla Shores Drive, La Jolla, CA 92037, USA CSIRO, GPO Box 1538, Hobart, Tas. 7001, Australia School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat St, Seattle, WA 98115, USA Department of Biology and Grice Marine Laboratory, College of Charleston, 66 George Street, Charleston, SC 29424, USA Biology Program, University of Alaska Southeast, 11120 Glacier Hwy, Juneau, AK 99801, USA.

Published: November 2009

tossm (Testing of Spatial Structure Methods) is a package for testing the performance of genetic analytical methods in a management context. In the tossm package, any method developed to detect population genetic structure can be combined with a mechanism for creating management units (MUs) based on the genetic analysis. The resulting Boundary-Setting Algorithm (BSA) dictates harvest boundaries with a genetic basis. These BSAs can be evaluated with respect to how well the MUs they define meet management objectives.

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http://dx.doi.org/10.1111/j.1755-0998.2009.02686.xDOI Listing

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tossm: an R package for assessing performance of genetic analytical methods in a management context.

Mol Ecol Resour

November 2009

Southwest Fisheries Science Center, NOAA Fisheries Service, 8604 La Jolla Shores Drive, La Jolla, CA 92037, USA CSIRO, GPO Box 1538, Hobart, Tas. 7001, Australia School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat St, Seattle, WA 98115, USA Department of Biology and Grice Marine Laboratory, College of Charleston, 66 George Street, Charleston, SC 29424, USA Biology Program, University of Alaska Southeast, 11120 Glacier Hwy, Juneau, AK 99801, USA.

tossm (Testing of Spatial Structure Methods) is a package for testing the performance of genetic analytical methods in a management context. In the tossm package, any method developed to detect population genetic structure can be combined with a mechanism for creating management units (MUs) based on the genetic analysis. The resulting Boundary-Setting Algorithm (BSA) dictates harvest boundaries with a genetic basis.

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