Population abundance in arctic grayling using genetics and close‐kin mark‐recapture

• Published in: Ecology and Evolution
• Main Authors: Samuel Prystupa, Gregory R. McCracken, Robert Perry, Daniel E. Ruzzante
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2021
• Subjects: census size; CKMR; parent offspring pairs; population abundance; population structure; Thymallus arcticus; Ecology; QH540-549.5; Arctic; Yukon; Canada; Lubbock; Lubbock River; Arctic grayling
• Online Access: https://doi.org/10.1002/ece3.7378; https://doaj.org/article/71ce1f380f614fc3957063f55e2b393d

Abstract Arctic Grayling (Thymallus arcticus) are among the most widely distributed and abundant freshwater fish in the Yukon Territory of Canada, yet little information exists regarding their broad and fine‐scale population structures or the number and size of these populations. The estimation of population abundance is fundamental for robust management and conservation, yet estimating abundance in the wild is often difficult. Here, we estimated abundance of an Arctic Grayling population using multiple genetic markers and the close‐kin mark‐recapture (CKMR) method. A total of N = 1,104 Arctic Grayling collected from two systems in Yukon were genotyped at 38 sequenced microsatellites. We first identified structure and assessed genetic diversity (effective population size, N^e). Collections from one of the systems (Lubbock River) comprised adults and young‐of‐the‐year sampled independently allowing the identification of parent–offspring pairs (POPs), and thus, the estimation of abundance using CKMR. We used COLONY and CKMRsim to identify POPs and both provided similar results leading to indistinguishable estimates (95% CI) of census size, that is, N^c(COLONY) = 1858 (1259–2457) and N^c(CKMRsim)=1812 (1229–2389). The accuracy of the population abundance estimates can in the future be improved with temporal sampling and more precise age or size‐specific fecundity estimates for Arctic Grayling. Our study demonstrates that the method can be used to inform management and conservation policy for Arctic Grayling and likely also for other fish species for which the assumption of random and independent sampling of adults and offspring can be assured.