Literature DB >> 24286372

Towards an energetic landscape: broad-scale accelerometry in woodland caribou.

Anna A Mosser1,2, Tal Avgar1, Glen S Brown3, C Spencer Walker1, John M Fryxell1.   

Abstract

Energetic balance is a central driver of individual survival and population change, yet estimating energetic costs in free- and wide-ranging animals presents a significant challenge. Animal-borne activity monitors (using accelerometer technology) present a promising method of meeting this challenge and open new avenues for exploring energetics in natural settings. To determine the behaviours and estimated energetic costs associated with a given activity level, three captive reindeer (Rangifer tarandus tarandus) at the Toronto Zoo were fitted with collars and observed for 53 h. Activity patterns were then measured over 13 months for 131 free-ranging woodland caribou (R. t. caribou) spanning 450,000 km(2) in northern Ontario. The captive study revealed a positive but decelerating relationship between activity level and energetic costs inferred from previous behavioural studies. Field-based measures of activity were modelled against individual displacement, vegetation abundance (Normalized Difference Vegetation Index), snow depth and temperature, and the best fit model included all parameters and explained over half of the variation in the data. Individual displacement was positively related to activity levels, suggesting that broad differences in energetic demands are influenced by variation in movement rates. After accounting for displacement, activity was highest at intermediate levels of vegetation abundance, presumably due to foraging behaviour. Snow depth, probably associated with digging for winter forage, moderately increased activity. Activity levels increased significantly at the coldest winter temperatures, suggesting the use of behavioural thermoregulation by caribou. These interpretations of proximate causal factors should be regarded as hypotheses subject to validation under normal field conditions. These results illustrate the landscape characteristics that increase energetic demands for caribou and confirm the great potential for the use of accelerometry in studies of animal energetics.
© 2014 The Authors. Journal of Animal Ecology © 2014 British Ecological Society.

Entities:  

Keywords:  Rangifer; accelerometry; biotelemetry; energetics; landscape

Mesh:

Year:  2014        PMID: 24286372     DOI: 10.1111/1365-2656.12187

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


  12 in total

1.  Windscapes shape seabird instantaneous energy costs but adult behavior buffers impact on offspring.

Authors:  Kyle Hamish Elliott; Lorraine S Chivers; Lauren Bessey; Anthony J Gaston; Scott A Hatch; Akiko Kato; Orla Osborne; Yan Ropert-Coudert; John R Speakman; James F Hare
Journal:  Mov Ecol       Date:  2014-09-12       Impact factor: 3.600

2.  What is physiologging? Introduction to the theme issue, part 2.

Authors:  L A Hawkes; A Fahlman; K Sato
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-06-28       Impact factor: 6.671

3.  E-scape: Consumer-specific landscapes of energetic resources derived from stable isotope analysis and remote sensing.

Authors:  W Ryan James; Rolando O Santos; Jennifer S Rehage; Jennifer C Doerr; James A Nelson
Journal:  J Anim Ecol       Date:  2021-11-24       Impact factor: 5.606

4.  Putting the behavior into animal movement modeling: Improved activity budgets from use of ancillary tag information.

Authors:  Sophie Bestley; Ian Jonsen; Robert G Harcourt; Mark A Hindell; Nicholas J Gales
Journal:  Ecol Evol       Date:  2016-10-20       Impact factor: 2.912

5.  How animals distribute themselves in space: variable energy landscapes.

Authors:  Juan F Masello; Akiko Kato; Julia Sommerfeld; Thomas Mattern; Petra Quillfeldt
Journal:  Front Zool       Date:  2017-07-05       Impact factor: 3.172

6.  Orographic lift shapes flight routes of gulls in virtually flat landscapes.

Authors:  Elspeth Sage; Willem Bouten; Bart Hoekstra; Kees C J Camphuysen; Judy Shamoun-Baranes
Journal:  Sci Rep       Date:  2019-07-04       Impact factor: 4.379

7.  How animals distribute themselves in space: energy landscapes of Antarctic avian predators.

Authors:  Juan F Masello; Andres Barbosa; Akiko Kato; Thomas Mattern; Renata Medeiros; Jennifer E Stockdale; Marc N Kümmel; Paco Bustamante; Josabel Belliure; Jesús Benzal; Roger Colominas-Ciuró; Javier Menéndez-Blázquez; Sven Griep; Alexander Goesmann; William O C Symondson; Petra Quillfeldt
Journal:  Mov Ecol       Date:  2021-05-17       Impact factor: 3.600

8.  Mediterranean Spur-Thighed Tortoises (Testudo graeca) Have Optimal Speeds at Which They Can Minimise the Metabolic Cost of Transport, on a Treadmill.

Authors:  Heather Ewart; Peter Tickle; Robert Nudds; William Sellers; Dane Crossley; Jonathan Codd
Journal:  Biology (Basel)       Date:  2022-07-13

9.  Limitations of using surrogates for behaviour classification of accelerometer data: refining methods using random forest models in Caprids.

Authors:  Eleanor R Dickinson; Joshua P Twining; Rory Wilson; Philip A Stephens; Jennie Westander; Nikki Marks; David M Scantlebury
Journal:  Mov Ecol       Date:  2021-06-07       Impact factor: 3.600

10.  Acceleration Data Reveal Highly Individually Structured Energetic Landscapes in Free-Ranging Fishers (Pekania pennanti).

Authors:  Anne K Scharf; Scott LaPoint; Martin Wikelski; Kamran Safi
Journal:  PLoS One       Date:  2016-02-03       Impact factor: 3.240

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