Literature DB >> 24091427

Moose body mass variation revisited: disentangling effects of environmental conditions and genetics.

Ivar Herfindal1, Hallvard Haanes, Erling J Solberg, Knut H Røed, Kjell Arild Høgda, Bernt-Erik Sæther.   

Abstract

Large-scale geographical variation in phenotypic traits within species is often correlated to local environmental conditions and population density. Such phenotypic variation has recently been shown to also be influenced by genetic structuring of populations. In ungulates, large-scale geographical variation in phenotypic traits, such as body mass, has been related to environmental conditions and population density, but little is known about the genetic influences. Research on the genetic structure of moose suggests two distinct genetic lineages in Norway, structured along a north-south gradient. This corresponds with many environmental gradients, thus genetic structuring provides an additional factor affecting geographical phenotypic variation in Norwegian moose. We investigated if genetic structure explained geographical variation in body mass in Norwegian moose while accounting for environmental conditions, age and sex, and if it captured some of the variance in body mass that previously was attributed to environmental factors. Genetic structuring of moose was the most important variable in explaining the geographic variation in body mass within age and sex classes. Several environmental variables also had strong explanatory power, related to habitat diversity, environmental seasonality and winter harshness. The results suggest that environmental conditions, landscape characteristics, and genetic structure should be evaluated together when explaining large-scale patterns in phenotypic characters or life history traits. However, to better understand the role of genetic and environmental effects on phenotypic traits in moose, an extended individual-based study of variation in fitness-related characters is needed, preferably in an area of convergence between different genetic lineages.

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Year:  2013        PMID: 24091427     DOI: 10.1007/s00442-013-2783-8

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  25 in total

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2.  Genetic and plastic responses of a northern mammal to climate change.

Authors:  Denis Réale; Andrew G McAdam; Stan Boutin; Dominique Berteaux
Journal:  Proc Biol Sci       Date:  2003-03-22       Impact factor: 5.349

3.  Evolution of quantitative traits in the wild: mind the ecology.

Authors:  Josephine M Pemberton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-27       Impact factor: 6.237

4.  Habitat-performance relationships: finding the right metric at a given spatial scale.

Authors:  Jean-Michel Gaillard; Mark Hebblewhite; Anne Loison; Mark Fuller; Roger Powell; Mathieu Basille; Bram Van Moorter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-27       Impact factor: 6.237

5.  Lack of compensatory body growth in a high performance moose Alces alces population.

Authors:  Erling J Solberg; Mathieu Garel; Morten Heim; Vidar Grøtan; Bernt-Erik Saether
Journal:  Oecologia       Date:  2008-09-30       Impact factor: 3.225

6.  Environmental stochasticity and population dynamics of large herbivores: a search for mechanisms.

Authors:  B E Sæther
Journal:  Trends Ecol Evol       Date:  1997-04       Impact factor: 17.712

Review 7.  Explaining stasis: microevolutionary studies in natural populations.

Authors:  J Merilä; B C Sheldon; L E Kruuk
Journal:  Genetica       Date:  2001       Impact factor: 1.082

8.  Range-body mass interactions of a northern ungulate - a test of hypothesis.

Authors:  Olav Hjeljord; Trond Histøl
Journal:  Oecologia       Date:  1999-05       Impact factor: 3.225

9.  Genotype by environment interaction for lamb weaning weight in two Norwegian sheep breeds.

Authors:  G Steinheim; J Odegård; T Adnøy; G Klemetsdal
Journal:  J Anim Sci       Date:  2007-10-02       Impact factor: 3.159

10.  Environmental phenology and geographical gradients in moose body mass.

Authors:  Ivar Herfindal; Erling Johan Solberg; Bernt-Erik Saether; Kjell Arild Høgda; Reidar Andersen
Journal:  Oecologia       Date:  2006-08-31       Impact factor: 3.298

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  2 in total

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Authors:  Rudolf Reiner; Andreas Zedrosser; Hubert Zeiler; Klaus Hackländer; Luca Corlatti
Journal:  Ecol Evol       Date:  2022-03-07       Impact factor: 2.912

2.  Moose selecting for specific nutritional composition of birch places limits on food acceptability.

Authors:  Hilde K Wam; Annika M Felton; Caroline Stolter; Line Nybakken; Olav Hjeljord
Journal:  Ecol Evol       Date:  2017-12-20       Impact factor: 2.912

  2 in total

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