|Document Type:||Journal Article|
|Title:||Disentangling genetic structure for genetic monitoring of complex populations|
|Author:||Brook G. Milligan, Eric Archer, Anne-Laure Ferchaud, Brian K. Hand, Elizabeth M. Kierepka, Robin S. Waples|
Genetic monitoring estimates temporal changes in population parameters from molecular marker information, but traditional metric-based approaches generally require a priori knowledge of population structure, and may be misled if model assumptions are incorrect. In many species of conservation concern, true population structure is unknown or the structure may shift over time, so the accuracy and precision of monitoring results may be inadequate. Thus, we need an inference model that decouples the complex elements that define population structure from estimation of population parameters of interest and reveals, rather than assumes, fine details of population structure. Currently, the best candidate is the spatial Lambda-Fleming-Viot model, a spatially-explicit individually-based coalescent model that allows independent inference of two of the most important elements of population structure: local population density and local dispersal.
|Theme:||Recovery and rebuilding of marine and coastal species|
Characterize the population biology of species, and develop and improve methods for predicting the status of populations.
Develop methods to use physiological, biological and behavioral information to predict population-level processes.
Milligan BG, FI Archer, A-L Ferchaud, BK Hand, EM Kierepka, and RS Waples. 2018. Disentangling genetic structure for genetic monitoring of complex populations. Evolutionary Applications 11:1149-1161