Literature DB >> 25122223

Temporally dynamic habitat suitability predicts genetic relatedness among caribou.

Glenn Yannic1, Loïc Pellissier2, Maël Le Corre3, Christian Dussault4, Louis Bernatchez5, Steeve D Côté3.   

Abstract

Landscape heterogeneity plays a central role in shaping ecological and evolutionary processes. While species utilization of the landscape is usually viewed as constant within a year, the spatial distribution of individuals is likely to vary in time in relation to particular seasonal needs. Understanding temporal variation in landscape use and genetic connectivity has direct conservation implications. Here, we modelled the daily use of the landscape by caribou in Quebec and Labrador, Canada and tested its ability to explain the genetic relatedness among individuals. We assessed habitat selection using locations of collared individuals in migratory herds and static occurrences from sedentary groups. Connectivity models based on habitat use outperformed a baseline isolation-by-distance model in explaining genetic relatedness, suggesting that variations in landscape features such as snow, vegetation productivity and land use modulate connectivity among populations. Connectivity surfaces derived from habitat use were the best predictors of genetic relatedness. The relationship between connectivity surface and genetic relatedness varied in time and peaked during the rutting period. Landscape permeability in the period of mate searching is especially important to allow gene flow among populations. Our study highlights the importance of considering temporal variations in habitat selection for optimizing connectivity across heterogeneous landscape and counter habitat fragmentation.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  Rangifer tarandus; causal modelling; circuit theory; habitat suitability models; landscape genetics; least-cost path

Mesh:

Year:  2014        PMID: 25122223      PMCID: PMC4150309          DOI: 10.1098/rspb.2014.0502

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  29 in total

1.  Estimation of pairwise relatedness with molecular markers.

Authors:  M Lynch; K Ritland
Journal:  Genetics       Date:  1999-08       Impact factor: 4.562

2.  A comparison of microsatellite-based pairwise relatedness estimators.

Authors:  T Van de Casteele; P Galbusera; E Matthysen
Journal:  Mol Ecol       Date:  2001-06       Impact factor: 6.185

3.  New insights from fine-scale spatial genetic structure analyses in plant populations.

Authors:  X Vekemans; O J Hardy
Journal:  Mol Ecol       Date:  2004-04       Impact factor: 6.185

4.  Performance of marker-based relatedness estimators in natural populations of outbred vertebrates.

Authors:  Katalin Csilléry; Toby Johnson; Dario Beraldi; Tim Clutton-Brock; Dave Coltman; Bengt Hansson; Goran Spong; Josephine M Pemberton
Journal:  Genetics       Date:  2006-06-18       Impact factor: 4.562

5.  Gene flow in complex landscapes: testing multiple hypotheses with causal modeling.

Authors:  Samuel A Cushman; Kevin S McKelvey; Jim Hayden; Michael K Schwartz
Journal:  Am Nat       Date:  2006-08-07       Impact factor: 3.926

6.  An integrated approach to identify spatiotemporal and individual-level determinants of animal home range size.

Authors:  Luca Börger; Novella Franconi; Francesco Ferretti; Fiora Meschi; Giampiero De Michele; Alberto Gantz; Tim Coulson
Journal:  Am Nat       Date:  2006-08-29       Impact factor: 3.926

7.  Isolation by resistance.

Authors:  Brad H McRae
Journal:  Evolution       Date:  2006-08       Impact factor: 3.694

Review 8.  Putting the "landscape" in landscape genetics.

Authors:  A Storfer; M A Murphy; J S Evans; C S Goldberg; S Robinson; S F Spear; R Dezzani; E Delmelle; L Vierling; L P Waits
Journal:  Heredity (Edinb)       Date:  2006-11-01       Impact factor: 3.821

9.  Circuit theory predicts gene flow in plant and animal populations.

Authors:  Brad H McRae; Paul Beier
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-03       Impact factor: 11.205

10.  Integrative use of spatial, genetic, and demographic analyses for investigating genetic connectivity between migratory, montane, and sedentary caribou herds.

Authors:  Marylène Boulet; Serge Couturier; Steeve D Côté; Robert D Otto; Louis Bernatchez
Journal:  Mol Ecol       Date:  2007-09-04       Impact factor: 6.185

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  3 in total

1.  Loss of connectivity among island-dwelling Peary caribou following sea ice decline.

Authors:  Deborah A Jenkins; Nicolas Lecomte; James A Schaefer; Steffen M Olsen; Didier Swingedouw; Steeve D Côté; Loïc Pellissier; Glenn Yannic
Journal:  Biol Lett       Date:  2016-09       Impact factor: 3.703

2.  Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations.

Authors:  Chrysoula Gubili; Stefano Mariani; Byron V Weckworth; Paul Galpern; Allan D McDevitt; Mark Hebblewhite; Barry Nickel; Marco Musiani
Journal:  Evol Appl       Date:  2016-12-20       Impact factor: 5.183

3.  Habitat suitability and demography, a time-dependent relationship.

Authors:  Léo Bacon; Yves Hingrat; Frédéric Jiguet; Anne-Christine Monnet; François Sarrazin; Alexandre Robert
Journal:  Ecol Evol       Date:  2017-03-02       Impact factor: 2.912

  3 in total

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