Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Shawna J. Zimmerman"'
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-16 (2020)
Abstract Background Use of genomic tools to characterize wildlife populations has increased in recent years. In the past, genetic characterization has been accomplished with more traditional genetic tools (e.g., microsatellites). The explosion of gen
Externí odkaz:
https://doaj.org/article/2f300e0006a941b49dfcb73daef1e8ba
Autor:
Shawna J. Zimmerman, Cameron L. Aldridge, Kevin P. Oh, Robert S. Cornman, Sara J. Oyler‐McCance
Publikováno v:
Evolutionary Applications, Vol 12, Iss 8, Pp 1661-1677 (2019)
Abstract Understanding the genetic underpinning of adaptive divergence among populations is a key goal of evolutionary biology and conservation. Gunnison sage‐grouse (Centrocercus minimus) is a sagebrush obligate species with a constricted range co
Externí odkaz:
https://doaj.org/article/c4a6ccab1c8c417290d19bc7b545d984
Publikováno v:
Molecular Ecology. 31:3267-3285
Habitat fragmentation and degradation impacts an organism's ability to navigate the landscape, ultimately resulting in decreased gene flow and increased extinction risk. Understanding how landscape composition impacts gene flow (i.e., connectivity) a
Autor:
Shawna J. Zimmerman, Cameron L. Aldridge, Michael S. O'Donnell, David R. Edmunds, Peter S. Coates, Brian G. Prochazka, Jennifer A. Fike, Todd B. Cross, Bradley C. Fedy, Sara J. Oyler‐McCance
Publikováno v:
Ecological Applications. 33
Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ec
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-16 (2020)
BMC Genomics
BMC Genomics
Background Use of genomic tools to characterize wildlife populations has increased in recent years. In the past, genetic characterization has been accomplished with more traditional genetic tools (e.g., microsatellites). The explosion of genomic meth
Autor:
Cameron L. Aldridge, Kevin P. Oh, Sara J. Oyler-McCance, Shawna J. Zimmerman, Robert S. Cornman
Publikováno v:
Evolutionary Applications
Evolutionary Applications, Vol 12, Iss 8, Pp 1661-1677 (2019)
Evolutionary Applications, Vol 12, Iss 8, Pp 1661-1677 (2019)
Understanding the genetic underpinning of adaptive divergence among populations is a key goal of evolutionary biology and conservation. Gunnison sage‐grouse (Centrocercus minimus) is a sagebrush obligate species with a constricted range consisting
Publikováno v:
Population Genomics ISBN: 9783030634889
For over two decades, genetic studies have been used to assist in the conservation and management of both Greater Sage-grouse (Centrocercus urophasianus) and Gunnison Sage-grouse (C. minimus), addressing a wide variety of topics including taxonomy, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1905e2887de5a93db36c4af5bf56b575
https://doi.org/10.1007/13836_2019_65
https://doi.org/10.1007/13836_2019_65
Publikováno v:
The Condor. 121
Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal, although the success of translocation can
Publikováno v:
Conservation Genetics Resources. 7:211-214
Gunnison Sage-grouse are an obligate sagebrush species that has experienced significant population declines and has been proposed for listing under the U.S. Endangered Species Act. In order to examine levels of connectivity among Gunnison Sage-grouse
Autor:
Taylor M. Crow, Shawna J. Zimmerman, Chitra Seshadri, Stéphane Joost, Ting-Wen Chen, Andrew J. Eckert, Stéphanie Manel, Devrim Semizer-Cuming, Benoit Talbot
Publikováno v:
Journal of Heredity
Journal of Heredity, Oxford University Press (OUP), 2017, 108 (2), pp.207-216. ⟨10.1093/jhered/esw077⟩
Journal of Heredity, Oxford University Press (OUP), 2017, 108 (2), pp.207-216. ⟨10.1093/jhered/esw077⟩
Population genomic analysis can be an important tool in understanding local adaptation. Identification of potential adaptive loci in such analyses is usually based on the survey of a large genomic dataset in combination with environmental variables.