A critical assessment of estimating census population size from genetic population size (or vice versa) in three fishes. (4th July 2017)

• Record Type: Journal Article
• Authors: Yates, Matthew Carl; Bernos, Thais A.; Fraser, Dylan J.
• Is Part Of: Evolutionary applications. Volume 10:Number 9(2017)
• Page Start: 935
• Page End: 945
• Publication Date: 2017-07-04
• Subjects: conservation biology -- conservation genetics -- effective population size -- fisheries management -- inventory and monitoring -- wildlife management; Evolution (Biology) -- Periodicals; Genetics -- Periodicals; Natural selection -- Periodicals; Ecology -- Periodicals; 576.8
• DOI: 10.1111/eva.12496
• Languages: English
• ISSNs: 1752-4571

Abstract

Abstract: Technological and methodological advances have facilitated the use of genetic data to infer census population size (Nc ) in natural populations, particularly where traditional mark‐and‐recapture is challenging. The effective number of breeders (Nb ) describes how many adults effectively contribute to a cohort and is often correlated with Nc . Predicting Nc from Nb or vice versa in species with overlapping generations has important implications for conservation by permitting (i) estimation of the more difficult to quantify variable and (ii) inferences of Nb /Nc relationships in related species lacking data. We quantitatively synthesized Nb /Nc relationships in three salmonid fishes where sufficient data have recently accumulated. Mixed‐effects models were analysed in which each variable was included as a dependent variable or predictor term (Nb from Nc and vice versa). Species‐dependent Nb /Nc slope estimates were significantly positive in two of three species. Variation in species slopes was likely due to varying life histories and reinforce caution when inferring Nb /Nc from taxonomically related species. Models provided maximum probable estimates for Nb and Nc for two species. However, study, population and year effects explained substantial amounts of variation (39%–57%). Consequently, prediction intervals were wide and included or were close to zero for all population sizes and species; model predictive utility was limited. Cost‐benefit trade‐offs when estimating Nb and/or Nc were also discussed using a real‐world system example. Our findings based on salmonids suggest that no short cuts currently exist when estimating population size and researchers should focus on quantifying the variable of interest or be aware of caveats when inferring the desired variable because of cost or logistics. We caution that the salmonid species examined share life‐history traits that may obscure relationships between Nb and Nc . Sufficient data on other taxa were unavailable; additional research examining Nb /Nc relationships in species with potentially relevant life‐history trait differences (e.g., differing survival curves) is needed.