Genetic monitoring: Development of tools for conservation and management

Principal Investigators:

Fred W. Allendorf, and Michael K. Schwartz

Genetic monitoring has the potential to become a valuable tool for the management and conservation of populations. Recent rapid advances in molecular genetic techniques make it relatively easy and inexpensive to quantify temporal changes in the genetics of populations over tens or even hundreds of years. However, it is currently unknown under what circumstances genetic monitoring would provide valuable information or what genetic data are required for effective genetic monitoring. We propose a working group that will address these issues in order to provide guidance for resource managers and policy makers. We will also evaluate the potential for using genetic monitoring of candidate genes likely to be affected by climate change and other forms of stress in order to understand evolutionary responses to environmental changes. The results of this working group will be rigorous and practical guidelines for the design of genetic monitoring strategies and should lead to improved assessments of population trends and evolutionary processes. collapse

Participants and Meetings

Working Group Participants

Activity	Dates	Further Information
Working Group	10th—14th March 2008	Participant List
Working Group	24th—27th February 2009	Participant List

Participant Contact Information

Fred W. Allendorf	fred.allendorf [at] umontana.edu	University of Montana
C. Scott Baker	scott.baker [at] oregonstate.edu	Oregon State University
Michael M. Hansen	mmh [at] difres.dk	Technical University of Denmark
Jennifer Jackson	jennifer.jackson [at] oregonstate.edu	Oregon State University
Katherine C. Kendall	kkendall [at] usgs.gov	US Geological Survey (USGS) Glacier Field Station
Linda Laikre	linda.laikre [at] popgen.su.se	Stockholm University
Kevin S. McKelvey	kmckelvey [at] fs.fed.us	USDA Forest Service
Brad H. McRae	bmcrae [at] tnc.org	University of California, Santa Barbara
Maile C. Neel	mneel [at] umd.edu	University of Maryland
Isabelle M. Olivieri	isabelle.Olivieri [at] univ-montp2.fr	Université de Montpellier II
Nils Ryman	nils.ryman [at] popgen.su.se	Stockholm University
Michael K. Schwartz	mkschwartz [at] fs.fed.us	USDA Forest Service
Ruth Shortbull	ruth.shortbull [at] umontana.edu	University of Montana
Jeffrey Stetz	jstetz [at] usgs.gov	University of Montana
David Tallmon	david.tallmon [at] uas.alaska.edu	University of Alaska
Barbara L. Taylor	barbara.taylor [at] noaa.gov	NOAA, Southwest Fisheries Science Center
Christina Vojta	cvojta [at] fs.fed.us	USDA Forest Service
Donald M. Waller	dmwaller [at] wisc.edu	University of Wisconsin, Madison
Robin Waples	robin.waples [at] noaa.gov	NOAA, Northwest Fisheries Science Center
Dave Gregovitch	dave.gregovich [at] noaa.gov	NOAA, Southwest Fisheries Science Center

Products: Publications, Reports, Datasets, Presentations, Visualizations

Type	Products of NCEAS Research
Presentations	Allendorf, Fred W. 2007. Monitoring genetic change in natural populations. Ecological Society of Australia, Annual Meeting, November 2007. Perth, Western Australia.
Presentations	Allendorf, Fred W. 2010. Genetic monitoring of natural populations. Recent Advances in Conservation Genetics, February 2010. White Oak, Florida.
Presentations	Allendorf, Fred W. 2011. An introduction to genetic monitoring. British Antarctic Survey. Cambridge, UK.
Presentations	Allendorf, Fred W. 2011. Genetic monitoring, the wildlife point of view. GLOBALDIV Workshop. Lausanne, Switzerland.
Journal Article	Hansen, Michael M.; Fraser, Dylan J.; Meier, Kristian; Mensberg, Karen-Lise D. 2009. Sixty years of anthropogenic pressure: A spatio-temporal genetic analysis of brown trout populations subject to stocking and population declines. Molecular Ecology. Vol: 18(12). Pages 2549-2562.
Journal Article	Hansen, Michael M.; Olivieri, Isabelle M.; Waller, Donald M.; Nielson, E. E. 2012. Monitoring adaptive genetic responses to environmental change. Molecular Ecology. Vol: 21(6). Pages 1311-1329. (Online version)
Journal Article	Jackson, Jennifer; Laikre, Linda; Baker, C. Scott; Kendall, Katherine C. 2012. Guidelines for collecting and maintaining archives for genetic monitoring. Conservation Genetics Resources. Vol: 4(2). Pages 527-536.
Journal Article	Joost, Stephane; Colli, Licia; Bonin, Aurelie; Biebach, Iris; Allendorf, Fred W.; Hoffmann, Irene; Hanotte, Olivier; Taberlet, Pierre; Consortium, Globaldiv. 2011. Promoting collaboration between livestock and wildlife conservation genetics communities.
Presentations	Laikre, Linda. 2009. Who cares about the genes? Genetic diversity is neglected in international conservation policy.. ESF Conservation Genetics Conference. Trondheim.
Journal Article	Laikre, Linda; Schwartz, Mark W.; Waples, Robin; Ryman, Nils. 2010. Compromising genetic diversity in the wild: Unmonitored large-scale release of plants and animals. Vol: 25(9). Pages 520-529. (Online version)
Journal Article	Laikre, Linda. 2010. Genetic diversity is overlooked in international conservation policy implementation. Conservation Genetics. Vol: 11(2). Pages 349-354.
Journal Article	Laikre, Linda; Allendorf, Fred W.; Aroner, Laurel C.; Baker, C. Scott; Gregovitch, Dave; Hansen, Michael M.; Jackson, Jennifer; Kendall, Katherine C.; McKelvey, Kevin S.; Neel, Maile C.; Olivieri, Isabelle M.; Ryman, Nils; Schwartz, Michael K.; Shortbull, Ruth; Stetz, Jeffrey; Tallmon, David; Taylor, Barbara L.; Vojta, Christina; Waller, Donald M.; Waples, Robin. 2010. Neglect of genetic diversity in implementation of the convention on biological diversity. Conservation Biology. Vol: 24(1). Pages 86-88.
Presentations	Laikre, Linda. 2010. Targets and indicators for monitoring genetic variation for resilience and future adaptation. . Conference of the Parties to the Convention on Biological Diversity. Nagoya, Japan.
Journal Article	Luikart, Gordon; Ryman, Nils; Tallmon, David; Schwartz, Michael K.; Allendorf, Fred W. 2010. Estimation of census and effective population sizes: The increasing usefulness of DNA-based approaches. Conservation Genetics. Vol: 11(2). Pages 355-373.
Journal Article	Neel, Maile C.; McKelvey, Kevin S.; Ryman, Nils; Lloyd, Michael W.; Shortbull, Ruth; Allendorf, Fred W.; Schwartz, Michael K.; Waples, Robin. 2013. Estimation of effective population size in continuously distributed populations: There goes the neighborhood. Heredity. Pages 1-11. (Online version)
Journal Article	Noel, Florence; Maurice, Sandrine; Mignot, Agnes; Glemin, Sylvain; Carbonell, David; Justy, Fabienne; Guyot, Isabelle; Olivieri, Isabelle M.; Petit, Christophe. 2010. Interaction of climate, demography and genetics: A ten-year study of Brassica insularis, a narrow endemic Mediterranean species. Conservation Genetics. Vol: 11(2). Pages 509-526.
Journal Article	Palmé, Anna; Laikre, Linda; Ryman, Nils. 2013. Monitoring reveals two genetically distinct brown trout populations remaining in stable sympatry over 20 years in tiny mountain lakes. Conservation Genetics. Vol: 14. Pages 795-808.
Journal Article	Ryman, Nils; Allendorf, Fred W.; Jorde, Per Erik; Laikre, Linda; Hössjers, Ola. 2014. Samples from subdivided populations yield biased estimates of effective size that overestimate the rate of loss of genetic variation. Molecular Ecology Resources. Vol: 14. Pages 87-99.
Presentations	Schwartz, Michael K. 2008. Genetic monitoring of carnivores. Grimso Biological Field Station, February 2008. Sweden.
Presentations	Schwartz, Michael K. 2009. How well do effective population size estimators reflect changes in abundance. International Marine Conservation Congress, May 2009. Washington D.C..
Dissertation or Thesis	Shortbull, Ruth. 2010. The importance of multiple study areas in landscape genetics: The American black bear in the Rocky Mountains. Organismal Biology and Ecology, University of Montana.
Dissertation or Thesis	Stetz, Jeffrey. 2008. Monitoring grizzly bear populations with bear rub tree surveys. Wildlife Biology, University of Montana.
Journal Article	Stetz, Jeffrey; Kendall, Katherine C.; Vojta, Christina. 2011. Genetic monitoring for managers: A new online resource. Journal of Fish and Wildlife Management. Vol: 2(2). Pages 216-219.
Presentations	Tallmon, David; Gregovich, Dave; Waples, Robin; Baker, C. Scott; Jackson, Jennifer; Allendorf, Fred W.; Schwartz, Michael K. 2009. When are genetic methods useful to estimate contemporary abundance and population growth?. Society for the Study of Evolution. Moscow.
Journal Article	Tallmon, David; Gregovitch, Dave; Waples, Robin; Baker, C. Scott; Jackson, Jennifer; Taylor, Barbara L.; Archer, Eric; Martien, Karen; Allendorf, Fred W.; Schwartz, Michael K. 2010. When are genetic methods useful for estimating contemporary abundance and detecting population trends?. Molecular Ecology Resources. Vol: 10(4). Pages 684-692.
Journal Article	Tallmon, David; Waples, Robin; Gregovich, Dave; Schwartz, Michael K. 2012. Detecting population recovery using gametic disequilibrium-based effective population size estimates. Conservation Genetics Resources. Vol: 4(4). Pages 987-989.
Journal Article	Waples, Robin; Faulkner, James R. 2009. Modelling evolutionary processes in small populations: Not as ideal as you think. Vol: 18. Pages 1834-1847. (Online version)
Journal Article	Waples, Robin; Do, Chi. 2010. Linkage disequilibrium estimates of contemporary Ne using highly variable genetic markers: A largely untapped resource for applied conservation and evolution. Evolutionary Applications. Vol: 3. Pages 244-262.
Journal Article	Waples, Robin. 2010. Spatial-temporal stratifications in natural populations and how they affect understanding and estimation of effective population size. Molecular Ecology Resources. Vol: 10(5). Pages 785-796. (Online version)
Journal Article	Waples, Robin; England, Phillip R. 2011. Estimating contemporary effective population size on the basis of linkage disequilibrium in the face of migration. Genetics. Vol: 189(2). Pages 633-644. (Online version)
Journal Article	Waples, Robin; Antao, Tiago; Luikart, Gordon. 2014. Effects of overlapping generations on linkage disequilibrium estimates of effective population size. Genetics. Vol: 197(2). Pages 769-780.