Conservation Genetics of Endangered Species: Case Studies and Management Implications
Keywords:
Conservation genetics, Endangered species, Genetic diversity, Population structureAbstract
The application of conservation genetics in the management of endangered species, using case studies from diverse taxonomic groups. Through genetic analysis techniques such as DNA sequencing and population genetics, we assess genetic diversity, population structure, and gene flow in threatened species populations. Our findings inform conservation strategies aimed at preserving genetic diversity, reducing inbreeding depression, and promoting long-term viability of endangered species populations in their natural habitats.
References
Allendorf, F. W., Luikart, G., & Aitken, S. N. (2013). Conservation and the genetics of
populations. John Wiley & Sons.
Frankham, R., Ballou, J. D., & Briscoe, D. A. (2010). Introduction to conservation
genetics. Cambridge University Press.
Lande, R. (1995). Mutation and conservation. Conservation Biology, 9(4), 782-791.
Moritz, C. (1994). Applications of mitochondrial DNA analysis in conservation: a
critical review. Molecular Ecology, 3(4), 401-411.
Palstra, F. P., & Fraser, D. J. (2012). Effective/census population size ratio estimation:
a compendium and appraisal. Ecology and Evolution, 2(9), 2357-2365.
Paetkau, D., Slade, R., Burden, M., & Estoup, A. (2004). Genetic assignment methods
for the direct, real-time estimation of migration rate: a simulation-based exploration of
accuracy and power. Molecular Ecology, 13(1), 55-65.
Schwartz, M. K., Luikart, G., & Waples, R. S. (2007). Genetic monitoring as a
promising tool for conservation and management. Trends in Ecology & Evolution,
(1), 25-33.
Spielman, D., Brook, B. W., & Frankham, R. (2004). Most species are not driven to
extinction before genetic factors impact them. Proceedings of the National Academy of
Sciences, 101(42), 15261-15264.
Tallmon, D. A., Koyuk, A., Luikart, G., & Beaumont, M. A. (2008). ONeSAMP: a
program to estimate effective population size using approximate Bayesian computation.
Molecular Ecology Resources, 8(2), 299-301.
Wright, S. (1931). Evolution in Mendelian populations. Genetics, 16(2), 97-159.
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