Identification of management units using population genetic data

The identification of management units (MUs) is central to the management of natural populations and is crucial for monitoring the effects of human activity upon species abundance. Here, we propose that the identification of MUs from population genetic data should be based upon the amount of genetic...

Full description

Bibliographic Details
Published in:Trends in Ecology & Evolution
Main Authors: Palsboll, Per J., Berube, Martine, Allendorf, Fred W.
Format: Article in Journal/Newspaper
Language:English
Published: 2007
Subjects:
Online Access:https://hdl.handle.net/11370/39e0a744-a190-43d5-bdf7-1fd14bb57c97
https://research.rug.nl/en/publications/39e0a744-a190-43d5-bdf7-1fd14bb57c97
https://doi.org/10.1016/j.tree.2006.09.003
id ftunigroningenpu:oai:pure.rug.nl:publications/39e0a744-a190-43d5-bdf7-1fd14bb57c97
record_format openpolar
spelling ftunigroningenpu:oai:pure.rug.nl:publications/39e0a744-a190-43d5-bdf7-1fd14bb57c97 2024-09-15T18:40:12+00:00 Identification of management units using population genetic data Palsboll, Per J. Berube, Martine Allendorf, Fred W. 2007-01 https://hdl.handle.net/11370/39e0a744-a190-43d5-bdf7-1fd14bb57c97 https://research.rug.nl/en/publications/39e0a744-a190-43d5-bdf7-1fd14bb57c97 https://doi.org/10.1016/j.tree.2006.09.003 eng eng https://research.rug.nl/en/publications/39e0a744-a190-43d5-bdf7-1fd14bb57c97 info:eu-repo/semantics/closedAccess Palsboll , P J , Berube , M & Allendorf , F W 2007 , ' Identification of management units using population genetic data ' , Trends in Ecology and Evolution , vol. 22 , no. 1 , pp. 11-16 . https://doi.org/10.1016/j.tree.2006.09.003 BEAR URSUS-ARCTOS MIGRATION RATES EVOLUTIONARY PROCESSES CONSERVATION GENETICS PACIFIC SALMON MICROSATELLITE DIVERGENCE DIVERSITY FLOW ENVIRONMENT article 2007 ftunigroningenpu https://doi.org/10.1016/j.tree.2006.09.003 2024-07-01T14:49:22Z The identification of management units (MUs) is central to the management of natural populations and is crucial for monitoring the effects of human activity upon species abundance. Here, we propose that the identification of MUs from population genetic data should be based upon the amount of genetic divergence at which populations become demographically independent instead of the current criterion that focuses on rejecting panmixia. MU status should only be assigned when the observed estimate of genetic divergence is significantly greater than a predefined threshold value. We emphasize the need for a demographic interpretation of estimates of genetic divergence given that it is often the dispersal rate of individuals that is the parameter of immediate interest to conservationists rather than the historical amount of gene flow. Article in Journal/Newspaper Ursus arctos University of Groningen research database Trends in Ecology & Evolution 22 1 11 16
institution Open Polar
collection University of Groningen research database
op_collection_id ftunigroningenpu
language English
topic BEAR URSUS-ARCTOS
MIGRATION RATES
EVOLUTIONARY PROCESSES
CONSERVATION GENETICS
PACIFIC SALMON
MICROSATELLITE
DIVERGENCE
DIVERSITY
FLOW
ENVIRONMENT
spellingShingle BEAR URSUS-ARCTOS
MIGRATION RATES
EVOLUTIONARY PROCESSES
CONSERVATION GENETICS
PACIFIC SALMON
MICROSATELLITE
DIVERGENCE
DIVERSITY
FLOW
ENVIRONMENT
Palsboll, Per J.
Berube, Martine
Allendorf, Fred W.
Identification of management units using population genetic data
topic_facet BEAR URSUS-ARCTOS
MIGRATION RATES
EVOLUTIONARY PROCESSES
CONSERVATION GENETICS
PACIFIC SALMON
MICROSATELLITE
DIVERGENCE
DIVERSITY
FLOW
ENVIRONMENT
description The identification of management units (MUs) is central to the management of natural populations and is crucial for monitoring the effects of human activity upon species abundance. Here, we propose that the identification of MUs from population genetic data should be based upon the amount of genetic divergence at which populations become demographically independent instead of the current criterion that focuses on rejecting panmixia. MU status should only be assigned when the observed estimate of genetic divergence is significantly greater than a predefined threshold value. We emphasize the need for a demographic interpretation of estimates of genetic divergence given that it is often the dispersal rate of individuals that is the parameter of immediate interest to conservationists rather than the historical amount of gene flow.
format Article in Journal/Newspaper
author Palsboll, Per J.
Berube, Martine
Allendorf, Fred W.
author_facet Palsboll, Per J.
Berube, Martine
Allendorf, Fred W.
author_sort Palsboll, Per J.
title Identification of management units using population genetic data
title_short Identification of management units using population genetic data
title_full Identification of management units using population genetic data
title_fullStr Identification of management units using population genetic data
title_full_unstemmed Identification of management units using population genetic data
title_sort identification of management units using population genetic data
publishDate 2007
url https://hdl.handle.net/11370/39e0a744-a190-43d5-bdf7-1fd14bb57c97
https://research.rug.nl/en/publications/39e0a744-a190-43d5-bdf7-1fd14bb57c97
https://doi.org/10.1016/j.tree.2006.09.003
genre Ursus arctos
genre_facet Ursus arctos
op_source Palsboll , P J , Berube , M & Allendorf , F W 2007 , ' Identification of management units using population genetic data ' , Trends in Ecology and Evolution , vol. 22 , no. 1 , pp. 11-16 . https://doi.org/10.1016/j.tree.2006.09.003
op_relation https://research.rug.nl/en/publications/39e0a744-a190-43d5-bdf7-1fd14bb57c97
op_rights info:eu-repo/semantics/closedAccess
op_doi https://doi.org/10.1016/j.tree.2006.09.003
container_title Trends in Ecology & Evolution
container_volume 22
container_issue 1
container_start_page 11
op_container_end_page 16
_version_ 1810484515748970496