%AWhiteley, Andrew [Wildlife Biology Program Department of Ecosystem and Conservation Sciences College of Forestry and Conservation University of Montana Missoula MT USA]%AWhiteley, Andrew [Wildlife Biology Program; Department of Ecosystem and Conservation Sciences; College of Forestry and Conservation; University of Montana; Missoula MT USA]%ACoombs, Jason [Department of Environmental Conservation University of Massachusetts Amherst Amherst MA USA, U.S. Forest Service Northern Research Station University of Massachusetts Amherst MA USA]%ACoombs, Jason [Department of Environmental Conservation; University of Massachusetts Amherst; Amherst MA USA; U.S. Forest Service; Northern Research Station; University of Massachusetts; Amherst MA USA]%AO'Donnell, Matthew [U.S. Geological Survey Leetown Science Center S.O. Conte Anadromous Fish Research Center Turners Falls MA USA]%AO'Donnell, Matthew [U.S. Geological Survey; Leetown Science Center; S.O. Conte Anadromous Fish Research Center; Turners Falls MA USA]%ANislow, Keith [U.S. Forest Service; Northern Research Station; University of Massachusetts; Amherst MA USA]%ANislow, Keith [U.S. Forest Service Northern Research Station University of Massachusetts Amherst MA USA]%ALetcher, Benjamin [U.S. Geological Survey Leetown Science Center S.O. Conte Anadromous Fish Research Center Turners Falls MA USA]%ALetcher, Benjamin [U.S. Geological Survey; Leetown Science Center; S.O. Conte Anadromous Fish Research Center; Turners Falls MA USA]%BJournal Name: Evolutionary Applications; Journal Volume: 10; Journal Issue: 4; Related Information: CHORUS Timestamp: 2023-10-03 23:51:37 %D2017%IWiley-Blackwell %JJournal Name: Evolutionary Applications; Journal Volume: 10; Journal Issue: 4; Related Information: CHORUS Timestamp: 2023-10-03 23:51:37 %K %MOSTI ID: 10023011 %PMedium: X; Size: p. 348-365 %TKeeping things local: Subpopulation N b and N e in a stream network with partial barriers to fish migration %XAbstract

For organisms with overlapping generations that occur in metapopulations, uncertainty remains regarding the spatiotemporal scale of inference of estimates of the effective number of breeders () and whether these estimates can be used to predict generationalNe. We conducted a series of tests of the spatiotemporal scale of inference of estimates ofNbin nine consecutive cohorts within a long‐term study of brook trout (Salvelinus fontinalis). We also tested a recently developed approach to estimate generationalNefromand compared this to an alternative approach for estimatingthat also accounts for age structure. Multiple lines of evidence were consistent withcorresponding to the local (subpopulation) spatial scale and the cohort‐specific temporal scale. We found that at least four consecutive cohort‐specific estimates ofwere necessary to obtain reliable estimates of harmonic meanfor a subpopulation. Generationalderived from cohort‐specificwas within 7%–50% of an alternative approach to obtain, suggesting some population specificity for concordance between approaches. Our results regarding the spatiotemporal scale of inference forNbshould apply broadly to many taxa that exhibit overlapping generations and metapopulation structure and point to promising avenues for using cohort‐specificfor local‐scale genetic monitoring.

%0Journal Article