%AMilligan, Brook [Department of Biology New Mexico State University Las Cruces NM USA]%AMilligan, Brook [Department of Biology; New Mexico State University; Las Cruces NM USA]%AArcher, Frederick [NOAA Fisheries Southwest Fisheries Science Center La Jolla CA USA]%AArcher, Frederick [NOAA Fisheries; Southwest Fisheries Science Center; La Jolla CA USA]%AFerchaud, Anne‐Laure [Institut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec QC Canada]%AFerchaud, Anne-Laure [Institut de Biologie Intégrative et des Systèmes (IBIS); Université Laval; Québec QC Canada]%AHand, Brian [Flathead Lake Biological Station University of Montana Polson MT USA]%AHand, Brian [Flathead Lake Biological Station; University of Montana; Polson MT USA]%AKierepka, Elizabeth [Biology Department Trent University Peterborough ON USA]%AKierepka, Elizabeth [Biology Department; Trent University; Peterborough ON USA]%AWaples, Robin [NOAA Fisheries Northwest Fisheries Science Center Seattle WA USA]%AWaples, Robin [NOAA Fisheries; Northwest Fisheries Science Center; Seattle WA USA]%BJournal Name: Evolutionary Applications; Journal Volume: 11; Journal Issue: 7; Related Information: CHORUS Timestamp: 2023-08-17 10:25:39 %D2018%IWiley-Blackwell %JJournal Name: Evolutionary Applications; Journal Volume: 11; Journal Issue: 7; Related Information: CHORUS Timestamp: 2023-08-17 10:25:39 %K %MOSTI ID: 10055156 %PMedium: X %TDisentangling genetic structure for genetic monitoring of complex populations %X
Genetic monitoring estimates temporal changes in population parameters from molecular marker information. Most populations are complex in structure and change through time by expanding or contracting their geographic range, becoming fragmented or coalescing, or increasing or decreasing density. Traditional approaches to genetic monitoring rely on quantifying temporal shifts of specific population metrics—heterozygosity, numbers of alleles, effective population size—or measures of geographic differentiation such as