Validation of close-kin mark–recapture (CKMR) methods for estimating population abundance

Daniel E. Ruzzante, Gregory R. McCracken, Brage Førland, John MacMillan, Daniela Notte, Colin Buhariwalla, Joanna Mills Flemming, Hans Skaug

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52 Citas (Scopus)

Resumen

Knowing how many individuals there are in a population is a fundamental problem in the management and conservation of freshwater and marine fish. We compare abundance estimates (census size, Nc) in seven brook trout Salvelinus fontinalis populations using standard mark–recapture (MR) and the close-kin mark–recapture (CKMR) method. Our purpose is to validate CKMR as a method for estimating population size. Close-kin mark–recapture is based on the principle that an individual's genotype can be considered a “recapture” of the genotypes of each of its parents. Assuming offspring and parents are sampled independently, the number of parent–offspring pairs (POPs) genetically identified in these samples can be used to estimate abundance. We genotyped (33 microsatellites) and aged c. 2,400 brook trout individuals collected over 5 consecutive years (2014–2018). We provide an alternative interpretation of CKMR in terms of the Lincoln–Petersen estimator in which the parents are considered as tagging the offspring rather than the offspring “recapturing” the parents. Despite various sources of uncertainty, we find close agreement between standard MR abundance estimates obtained through double-pass electrofishing and CKMR estimates, which require information on age-specific fecundity, and population- and age-specific survival rates. Population sizes ((Formula presented.)) are estimated to range between 300 and 6,000 adult individuals. Our study constitutes the first in situ validation of CKMR and establishes it as a useful method for estimating population size in aquatic systems where assumptions of random sampling and thorough mixing of individuals can be met.

Idioma originalEnglish
Páginas (desde-hasta)1445-1453
Número de páginas9
PublicaciónMethods in Ecology and Evolution
Volumen10
N.º9
DOI
EstadoPublished - sep. 1 2019

Nota bibliográfica

Funding Information:
We thank Quentin Kerr, Annie Simons, Connor Booker, Samantha Parmelee, Sarah Salisbury, David Malloy, Morgan Colp, Shreeram Sentivasan and Hilary Brewis for assistance collecting samples across 5 years of fieldwork. We also thank Paul Conn and one anonymous reviewer for their insightful comments on an earlier version of this manuscript. Fieldwork was funded by an NSERC Discovery grant and by grants from the Nova Scotia Department of Fisheries and Aquaculture to DER. DN acknowledges partial support from an NSERC Undergraduate Student Research Award (USRA) and a Faye Sobey award. D.E.R. and J.M.F. acknowledge support from the Ocean Frontier Institute at Dalhousie University.

Publisher Copyright:
© 2019 The Authors. Methods in Ecology and Evolution © 2019 British Ecological Society

ASJC Scopus Subject Areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecological Modelling

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