Literature DB >> 27483203

Spatiotemporal relationship between adult census size and genetic population size across a wide population size gradient.

Thaїs A Bernos1, Dylan J Fraser2.   

Abstract

Adult census population size (N) and effective number of breeders (Nb ) are highly relevant for designing effective conservation strategies. Both parameters are often challenging to quantify, however, making it of interest to determine whether one parameter can be generalized from the other. Yet, the spatiotemporal relationship between N and Nb has not been well characterized empirically in many taxa. We analysed this relationship for 5-7 consecutive years in twelve brook trout populations varying greatly in N (49-10032) and Nb (3-567) and identified major environmental variables affecting the two parameters. N or habitat size alone explained 47-57% of the variance in Nb , and Nb was strongly correlated with effective population size. The ratio Nb /N ranged from 0.01 to 0.45 and increased at small N or following an annual decrease in N, suggesting density-dependent constraints on Nb . We found no evidence for a consistent, directional difference between variability in Nb and/or Nb /N among small and large populations; however, small populations had more varying temporal variability in Nb /N ratios than large populations. Finally, Nb and Nb /N were 2.5- and 2.3-fold more variable among populations than temporally within populations. Our results demonstrate a clear linkage between demographic and evolutionary parameters, suggesting that Nb could be used to approximate N (or vice versa) in natural populations. Nevertheless, using one variable to infer the other to monitor trends within populations is less recommended, perhaps even less so in small populations given their less predictable Nb vs. N dynamics.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  census population size; effective number of breeders; effective population size; genetic monitoring; mark-recapture; stream fish

Mesh:

Year:  2016        PMID: 27483203     DOI: 10.1111/mec.13790

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  9 in total

1.  Small population size and low genomic diversity have no effect on fitness in experimental translocations of a wild fish.

Authors:  M C Yates; E Bowles; D J Fraser
Journal:  Proc Biol Sci       Date:  2019-11-27       Impact factor: 5.349

2.  Limited variability in upper thermal tolerance among pure and hybrid populations of a cold-water fish.

Authors:  Zachery R R Wells; Laura H McDonnell; Lauren J Chapman; Dylan J Fraser
Journal:  Conserv Physiol       Date:  2016-12-15       Impact factor: 3.079

3.  Reliable effective number of breeders/adult census size ratios in seasonal-breeding species: Opportunity for integrative demographic inferences based on capture-mark-recapture data and multilocus genotypes.

Authors:  Gregorio Sánchez-Montes; Jinliang Wang; Arturo H Ariño; José Luis Vizmanos; Iñigo Martínez-Solano
Journal:  Ecol Evol       Date:  2017-10-28       Impact factor: 2.912

4.  Genetic substructure and admixture as important factors in linkage disequilibrium-based estimation of effective number of breeders in recovering wildlife populations.

Authors:  Alexander Kopatz; Hans Geir Eiken; Julia Schregel; Jouni Aspi; Ilpo Kojola; Snorre B Hagen
Journal:  Ecol Evol       Date:  2017-11-07       Impact factor: 2.912

5.  Population correlates of rapid captive-induced maladaptation in a wild fish.

Authors:  Dylan J Fraser; Lisa Walker; Matthew C Yates; Kia Marin; Jacquelyn L A Wood; Thais A Bernos; Carol Zastavniouk
Journal:  Evol Appl       Date:  2018-06-19       Impact factor: 5.183

6.  Neutral and adaptive drivers of genomic change in introduced brook trout (Salvelinus fontinalis) populations revealed by pooled sequencing.

Authors:  Brent Brookes; Hyung-Bae Jeon; Alison M Derry; John R Post; Sean M Rogers; Shelley Humphries; Dylan J Fraser
Journal:  Ecol Evol       Date:  2022-02-07       Impact factor: 2.912

7.  Population genomic monitoring provides insight into conservation status but no correlation with demographic estimates of extinction risk in a threatened trout.

Authors:  William Hemstrom; Daniel Dauwalter; Mary M Peacock; Douglas Leasure; Seth Wenger; Michael R Miller; Helen Neville
Journal:  Evol Appl       Date:  2022-09-04       Impact factor: 4.929

8.  A critical assessment of estimating census population size from genetic population size (or vice versa) in three fishes.

Authors:  Matthew Carl Yates; Thais A Bernos; Dylan J Fraser
Journal:  Evol Appl       Date:  2017-07-04       Impact factor: 5.183

9.  The evolutionary consequences of habitat fragmentation: Body morphology and coloration differentiation among brook trout populations of varying size.

Authors:  Carol Zastavniouk; Laura K Weir; Dylan J Fraser
Journal:  Ecol Evol       Date:  2017-07-27       Impact factor: 2.912

  9 in total

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