Literature DB >> 21460529

Metabolic capacity and the evolution of biogeographic patterns in oscine and suboscine passerine birds.

David L Swanson1, Francisco Bozinovic.   

Abstract

Biogeographic analyses of passerine birds demonstrate that suboscines are numerically dominant in South America, whereas oscines are dominant elsewhere. This suggests that oscines generally outcompete suboscines and that suboscine dominance likely persists in South America because of its long isolation from other continents, where oscines have diversified. One hypothesis for oscine competitive superiority is that oscines possess higher metabolic capacities than suboscines, and this favors oscines in most habitats. We tested this hypothesis by comparing summit metabolic rates (M(sum), maximum thermoregulatory metabolic rate) between oscines and suboscines using conventional and phylogenetically informed statistical approaches. We predicted that if the metabolic-capacity hypothesis is valid, then oscines should have higher M(sum) than suboscines. Both conventional and phylogenetically informed ANCOVA on regressions of log M(sum) against log mass showed that oscines had higher M(sum) than suboscines: least squares mean M(sum) was 74% greater for oscines. Moreover, conventional and phylogenetically informed multiple regressions identified log mass, winter-range temperature, and clade (oscines vs. suboscines) as significant effectors of log M(sum). Thus, oscines have generally higher M(sum) than suboscines, which is consistent with the metabolic-capacity hypothesis and suggests that metabolic capacity is one factor influencing the evolution of broad biogeographical patterns in passerines.

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Year:  2011        PMID: 21460529     DOI: 10.1086/658291

Source DB:  PubMed          Journal:  Physiol Biochem Zool        ISSN: 1522-2152            Impact factor:   2.247


  8 in total

Review 1.  How low can you go? An adaptive energetic framework for interpreting basal metabolic rate variation in endotherms.

Authors:  David L Swanson; Andrew E McKechnie; François Vézina
Journal:  J Comp Physiol B       Date:  2017-04-11       Impact factor: 2.200

2.  Intraspecific correlations of basal and maximal metabolic rates in birds and the aerobic capacity model for the evolution of endothermy.

Authors:  David L Swanson; Nathan E Thomas; Eric T Liknes; Sheldon J Cooper
Journal:  PLoS One       Date:  2012-03-27       Impact factor: 3.240

3.  Is Maximum Food Intake in Endotherms Constrained by Net or Factorial Aerobic Scope? Lessons from the Leaf-Eared Mouse.

Authors:  Karin Maldonado; Pablo Sabat; Gabriela Piriz; José M Bogdanovich; Roberto F Nespolo; Francisco Bozinovic
Journal:  Front Physiol       Date:  2016-12-27       Impact factor: 4.566

4.  Coping with Salt Water Habitats: Metabolic and Oxidative Responses to Salt Intake in the Rufous-Collared Sparrow.

Authors:  Pablo Sabat; Cristóbal Narváez; Isaac Peña-Villalobos; Carolina Contreras; Karin Maldonado; Juan C Sanchez-Hernandez; Seth D Newsome; Roberto Nespolo; Francisco Bozinovic
Journal:  Front Physiol       Date:  2017-09-01       Impact factor: 4.566

5.  The influence of biogeographic history on the functional and phylogenetic diversity of passerine birds in savannas and forests of the Brazilian Amazon.

Authors:  Sara Miranda Almeida; Leandro Juen; Fernando Landa Sobral; Marcos Pérsio Dantas Santos
Journal:  Ecol Evol       Date:  2018-03-03       Impact factor: 2.912

6.  Basal metabolic rate in free-living tropical birds: the influence of phylogenetic, behavioral, and ecological factors.

Authors:  Andrey Bushuev; Oleg Tolstenkov; Ekaterina Zubkova; Eugenia Solovyeva; Anvar Kerimov
Journal:  Curr Zool       Date:  2017-03-24       Impact factor: 2.624

7.  Metabolic Flexibility in Response to Within-Season Temperature Variability in House Sparrows.

Authors:  D L Swanson; T J Agin; Y Zhang; P Oboikovitz; S DuBay
Journal:  Integr Org Biol       Date:  2020-11-05

8.  Mechanistic drivers of flexibility in summit metabolic rates of small birds.

Authors:  David Swanson; Yufeng Zhang; Marisa King
Journal:  PLoS One       Date:  2014-07-03       Impact factor: 3.240

  8 in total

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