Literature DB >> 16922846

Population characteristics predict responses in moose body mass to temporal variation in the environment.

Ivar Herfindal1, Bernt-Erik Saether, Erling Johan Solberg, Reidar Andersen, Kjell Arild Høgda.   

Abstract

1. A general problem in population ecology is to predict under which conditions stochastic variation in the environment has the stronger effect on ecological processes. By analysing temporal variation in a fitness-related trait, body mass, in 21 Norwegian moose Alces alces (L.) populations, we examined whether the influence of temporal variation in different environmental variables were related to different parameters that were assumed to reflect important characteristics of the fundamental niche space of the moose. 2. Body mass during autumn was positively related to early access to fresh vegetation in spring, and to variables reflecting slow phenological development (low June temperature, a long spring with a slow plant progression during spring). In contrast, variables related to food quantity and winter conditions had only a minor influence on temporal variation in body mass. 3. The magnitude of the effects of environmental variation on body mass was larger in populations with small mean body mass or living at higher densities than in populations with large-sized individuals or living at lower densities. 4. These results indicate that the strongest influence of environmental stochasticity on moose body mass occurs towards the borders of the fundamental niche space, and suggests that populations living under good environmental conditions are partly buffered against fluctuations in environmental conditions.

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Year:  2006        PMID: 16922846     DOI: 10.1111/j.1365-2656.2006.01138.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  14 in total

1.  Effects of density, climate, and supplementary forage on body mass and pregnancy rates of female red deer in Spain.

Authors:  P Rodriguez-Hidalgo; C Gortazar; F S Tortosa; C Rodriguez-Vigal; Y Fierro; J Vicente
Journal:  Oecologia       Date:  2010-05-28       Impact factor: 3.225

2.  Geographical variation in the influence of density dependence and climate on the recruitment of Norwegian moose.

Authors:  Vidar Grøtan; Bernt-Erik Saether; Magnar Lillegård; Erling J Solberg; Steinar Engen
Journal:  Oecologia       Date:  2009-08-06       Impact factor: 3.225

3.  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

4.  Effects of climate and plant phenology on recruitment of moose at the southern extent of their range.

Authors:  Kevin L Monteith; Robert W Klaver; Kent R Hersey; A Andrew Holland; Timothy P Thomas; Matthew J Kauffman
Journal:  Oecologia       Date:  2015-03-28       Impact factor: 3.225

5.  Annual variation in maternal age and calving date generate cohort effects in moose (Alces alces) body mass.

Authors:  Erling J Solberg; Morten Heim; Vidar Grøtan; Bernt-Erik Saether; Mathieu Garel
Journal:  Oecologia       Date:  2007-08-23       Impact factor: 3.225

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

Authors:  Ivar Herfindal; Hallvard Haanes; Erling J Solberg; Knut H Røed; Kjell Arild Høgda; Bernt-Erik Sæther
Journal:  Oecologia       Date:  2013-10-05       Impact factor: 3.225

7.  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

8.  Effects of liming on forage availability and nutrient content in a forest impacted by acid rain.

Authors:  Sarah E Pabian; Nathan M Ermer; Walter M Tzilkowski; Margaret C Brittingham
Journal:  PLoS One       Date:  2012-06-28       Impact factor: 3.240

9.  Cohort antler size signals environmental stress in a moderate climate.

Authors:  Bronson K Strickland; P Grady Dixon; Phillip D Jones; Stephen Demarais; Nathan O Owen; David A Cox; Katie Landry-Guyton; W Mark Baldwin; William T McKinley
Journal:  Int J Biometeorol       Date:  2020-01-04       Impact factor: 3.787

10.  Functional analysis of normalized difference vegetation index curves reveals overwinter mule deer survival is driven by both spring and autumn phenology.

Authors:  Mark A Hurley; Mark Hebblewhite; Jean-Michel Gaillard; Stéphane Dray; Kyle A Taylor; W K Smith; Pete Zager; Christophe Bonenfant
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-04-14       Impact factor: 6.237

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