Literature DB >> 26440800

What do metabolic rates tell us about thermal niches? Mechanisms driving crayfish distributions along an altitudinal gradient.

Rick J Stoffels1,2, Adam J Richardson3, Matthew T Vogel3, Simon P Coates4, Warren J Müller5.   

Abstract

Humans are rapidly altering thermal landscapes, so a central challenge to organismal ecologists is to better understand the thermal niches of ectotherms. However, there is much disagreement over how we should go about this. Some ecologists assume that a statistical model of abundance as a function of habitat temperature provides a sufficient approximation of the thermal niche, but ecophysiologists have shown that the relationship between fitness and temperature can be complicated, and have stressed the need to elucidate the causal mechanisms underlying the response of species to thermal change. Towards this end, we studied the distribution of two crayfishes, Euastacus woiwuru and Euastacus armatus, along an altitudinal gradient, and for both species conducted experiments to determine the temperature-dependence of: (1) aerobic scope (the difference between maximum and basal metabolic rate; purported to be a proxy of the thermal niche); and (2) burst locomotor performance (primarily fuelled using anaerobic pathways). E. woiwuru occupied cooler habitats than E. armatus, but we found no difference in aerobic scope between these species. In contrast, locomotor performance curves differed significantly and strongly between species, with peak locomotor performances of E. woiwuru and E. armatus occurring at ~10 and ~18 °C, respectively. Crayfish from different thermal landscapes may have similar aerobic thermal performance curves but different anaerobic thermal performance curves. Our results support a growing body of literature implying different components of ectotherm fitness have different thermal performance curves, and further challenge our understanding of the ecology and evolution of thermal niches.

Entities:  

Keywords:  Climate change; Community ecology; Functional traits; Metabolic ecology; Trade-off

Mesh:

Year:  2015        PMID: 26440800     DOI: 10.1007/s00442-015-3463-7

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


  39 in total

1.  Modelling the ecological niche from functional traits.

Authors:  Michael Kearney; Stephen J Simpson; David Raubenheimer; Brian Helmuth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

Review 2.  The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization.

Authors:  Geoffrey B West; James H Brown
Journal:  J Exp Biol       Date:  2005-05       Impact factor: 3.312

3.  Mitochondrial mechanisms of cold adaptation in cod (Gadus morhua L.) populations from different climatic zones.

Authors:  M Lucassen; N Koschnick; L G Eckerle; H-O Pörtner
Journal:  J Exp Biol       Date:  2006-07       Impact factor: 3.312

Review 4.  Trait-based approaches to conservation physiology: forecasting environmental change risks from the bottom up.

Authors:  Steven L Chown
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-06-19       Impact factor: 6.237

5.  Some errors in respirometry of aquatic breathers: How to avoid and correct for them.

Authors:  J F Steffensen
Journal:  Fish Physiol Biochem       Date:  1989-01       Impact factor: 2.794

6.  Climatic predictors of temperature performance curve parameters in ectotherms imply complex responses to climate change.

Authors:  Susana Clusella-Trullas; Tim M Blackburn; Steven L Chown
Journal:  Am Nat       Date:  2011-06       Impact factor: 3.926

7.  The contribution of the leak of protons across the mitochondrial inner membrane to standard metabolic rate.

Authors:  M D Brand
Journal:  J Theor Biol       Date:  1990-07-24       Impact factor: 2.691

8.  Aerobic scope does not predict the performance of a tropical eurythermal fish at elevated temperatures.

Authors:  Tommy Norin; Hans Malte; Timothy D Clark
Journal:  J Exp Biol       Date:  2013-10-10       Impact factor: 3.312

9.  Temperature acclimation rate of aerobic scope and feeding metabolism in fishes: implications in a thermally extreme future.

Authors:  Erik Sandblom; Albin Gräns; Michael Axelsson; Henrik Seth
Journal:  Proc Biol Sci       Date:  2014-11-07       Impact factor: 5.349

10.  Determining environmental causes of biological effects: the need for a mechanistic physiological dimension in conservation biology.

Authors:  Frank Seebacher; Craig E Franklin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-06-19       Impact factor: 6.237

View more
  4 in total

1.  Temperature effects on performance and physiology of two prairie stream minnows.

Authors:  Bryan D Frenette; Lindsey A Bruckerhoff; Michael Tobler; Keith B Gido
Journal:  Conserv Physiol       Date:  2019-10-31       Impact factor: 3.079

2.  Mapping physiology: biophysical mechanisms define scales of climate change impacts.

Authors:  Francis Choi; Tarik Gouhier; Fernando Lima; Gil Rilov; Rui Seabra; Brian Helmuth
Journal:  Conserv Physiol       Date:  2019-08-13       Impact factor: 3.079

3.  Metabolic plasticity improves lobster's resilience to ocean warming but not to climate-driven novel species interactions.

Authors:  Michael Oellermann; Quinn P Fitzgibbon; Samantha Twiname; Gretta T Pecl
Journal:  Sci Rep       Date:  2022-03-15       Impact factor: 4.379

4.  Climate, Demography, and Zoogeography Predict Introgression Thresholds in Salmonid Hybrid Zones in Rocky Mountain Streams.

Authors:  Michael K Young; Daniel J Isaak; Kevin S McKelvey; Taylor M Wilcox; Daniel M Bingham; Kristine L Pilgrim; Kellie J Carim; Matthew R Campbell; Matthew P Corsi; Dona L Horan; David E Nagel; Michael K Schwartz
Journal:  PLoS One       Date:  2016-11-09       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.