Effective population size dynamics reveal impacts of historic climatic events and recent anthropogenic pressure in African elephants

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Two hundred years of elephant hunting for ivory, peaking in 1970-1980s, caused local extirpations and massive population declines across Africa. The resulting genetic impacts on surviving populations have not been studied, despite the importance of understanding the evolutionary repercussions of such human-mediated events on this keystone species. Using Bayesian coalescent-based genetic methods to evaluate time-specific changes in effective population size, we analysed genetic variation in 20 highly polymorphic microsatellite loci from 400 elephants inhabiting the greater Samburu-Laikipia region of northern Kenya. This area experienced a decline of between 80% and 90% in the last few decades when ivory harvesting was rampant. The most significant change in effective population size, however, occurred approximately 2500 years ago during a mid-Holocene period of climatic drying in tropical Africa. Contrary to expectations, detailed analyses of four contemporary age-based cohorts showed that the peak poaching epidemic in the 1970s caused detectable temporary genetic impacts, with genetic diversity rebounding as juveniles surviving the poaching era became reproductively mature. This study demonstrates the importance of climatic history in shaping the distribution and genetic history of a keystone species and highlights the utility of coalescent-based demographic approaches in unravelling ancestral demographic events despite a lack of ancient samples. Unique insights into the genetic signature of mid-Holocene climatic change in Africa and effects of recent poaching pressure on elephants are discussed.
Original languageEnglish
JournalMolecular Ecology
Volume17
Issue number17
Pages (from-to)3788-3799
Number of pages11
ISSN0962-1083
DOIs
Publication statusPublished - 2008

Bibliographical note

Keywords: Alleles; Animals; Bayes Theorem; Climate; Elephants; Evolution, Molecular; Gene Flow; Genetics, Population; Genotype; Humans; Kenya; Markov Chains; Microsatellite Repeats; Monte Carlo Method; Polymorphism, Genetic; Population Density; Population Dynamics

ID: 9199309