Literature DB >> 21680495

Bioenergetic prediction of climate change impacts on northern mammals.

Murray M Humphries1, James Umbanhowar, Kevin S McCann.   

Abstract

Climate change will likely alter the distribution and abundance of northern mammals through a combination of direct, abiotic effects (e.g., changes in temperature and precipitation) and indirect, biotic effects (e.g., changes in the abundance of resources, competitors, and predators). Bioenergetic approaches are ideally suited to predicting the impacts of climate change because individual energy budgets integrate biotic and abiotic influences, and translate individual function into population and community outcomes. In this review, we illustrate how bioenergetics can be used to predict the regional biodiversity, species range limits, and community trophic organization of mammals under future climate scenarios. Although reliable prediction of climate change impacts for particular species requires better data and theory on the physiological ecology of northern mammals, two robust hypotheses emerge from the bioenergetic approaches presented here. First, the impacts of climate change in northern regions will be shaped by the appearance of new species at least as much as by the disappearance of current species. Second, seasonally inactive mammal species (e.g., hibernators), which are largely absent from the Canadian arctic at present, should undergo substantial increases in abundance and distribution in response to climate change, probably at the expense of continuously active mammals already present in the arctic.

Entities:  

Year:  2004        PMID: 21680495     DOI: 10.1093/icb/44.2.152

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  9 in total

1.  Linking habitat selection to fitness-related traits in herbivores: the role of the energy landscape.

Authors:  Ryan A Long; R T Bowyer; Warren P Porter; Paul Mathewson; Kevin L Monteith; Scott L Findholt; Brian L Dick; John G Kie
Journal:  Oecologia       Date:  2016-03-22       Impact factor: 3.225

2.  Thermoregulatory variation among populations of bats along a latitudinal gradient.

Authors:  Miranda B Dunbar; R Mark Brigham
Journal:  J Comp Physiol B       Date:  2010-03-06       Impact factor: 2.200

3.  The effects of day length, hibernation, and ambient temperature on incisor dentin in the Turkish hamster (Mesocricetus brandti).

Authors:  Mariska Batavia; George Nguyen; Irving Zucker
Journal:  J Comp Physiol B       Date:  2012-12-12       Impact factor: 2.200

4.  Coupled dynamics of body mass and population growth in response to environmental change.

Authors:  Arpat Ozgul; Dylan Z Childs; Madan K Oli; Kenneth B Armitage; Daniel T Blumstein; Lucretia E Olson; Shripad Tuljapurkar; Tim Coulson
Journal:  Nature       Date:  2010-07-22       Impact factor: 49.962

5.  A review of bioenergetic modelling for marine mammal populations.

Authors:  Enrico Pirotta
Journal:  Conserv Physiol       Date:  2022-06-21       Impact factor: 3.252

Review 6.  Responses of large mammals to climate change.

Authors:  Robyn S Hetem; Andrea Fuller; Shane K Maloney; Duncan Mitchell
Journal:  Temperature (Austin)       Date:  2014-07-21

7.  Activity-specific metabolic rates for diving, transiting, and resting at sea can be estimated from time-activity budgets in free-ranging marine mammals.

Authors:  Tiphaine Jeanniard-du-Dot; Andrew W Trites; John P Y Arnould; John R Speakman; Christophe Guinet
Journal:  Ecol Evol       Date:  2017-03-23       Impact factor: 2.912

8.  Influences of landscape change and winter severity on invasive ungulate persistence in the Nearctic boreal forest.

Authors:  Jason T Fisher; A Cole Burton; Luke Nolan; Laurence Roy
Journal:  Sci Rep       Date:  2020-05-26       Impact factor: 4.379

9.  Current analogues of future climate indicate the likely response of a sensitive montane tropical avifauna to a warming world.

Authors:  Alexander S Anderson; Collin J Storlie; Luke P Shoo; Richard G Pearson; Stephen E Williams
Journal:  PLoS One       Date:  2013-07-31       Impact factor: 3.240

  9 in total

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