Literature DB >> 23859231

Spatio-temporal dynamics in the response of woodland caribou and moose to the passage of grey wolf.

Guillaume Latombe1, Daniel Fortin, Lael Parrott.   

Abstract

Predators impact prey populations not only by consuming individuals, but also by altering their behaviours. These nonlethal effects can influence food web properties as much as lethal effects. The mechanisms of nonlethal effects include chronic and temporary anti-predator behaviours, the nature of which depends on the spatial dynamics of predators and the range over which prey perceive risk. The relation between chronic and ephemeral responses to risk determines predator-prey interactions, with consequences that can ripple across the food web. Nonetheless, few studies have quantified the spatio-temporal scales over which prey respond to predation threat, and how this response varies with habitat features. We evaluated the reaction of radio-collared caribou and moose to the passage of radio-collared wolves, by considering changes in movement characteristics during winter and summer. We used an optimization algorithm to identify the rate at which the impact of prior passage of wolves decreases over time and with the predator's distance. The spatial and temporal scales of anti-predator responses varied with prey species and season. Caribou and moose displayed four types of behaviour following the passage of wolves: lack of response, increased selection of safe land cover types, decreased selection of risky cover types and increased selection of food-rich forest stands. For example, moose increased their avoidance of open conifer stands with lichen in summer, which are selected by wolves in this season. Also in winter, caribou increased their selection of conifer stands with lichen for nearly 10 days following a wolf's passage. This stronger selection for food-rich patches could indicate that the recent passage of wolves informs caribou on the current predator distribution and reveals the rate at which this information become less reliable over time. Caribou and moose used anti-predator responses that combine both long- and short-term behavioural adjustments. The spatial game between wolves and their prey involves complex and nonlinear mechanisms that vary between species and seasons. A comprehensive assessment of risk effects on ecosystem dynamics thus requires the characterization of chronic and temporary anti-predator behaviours.
© 2013 The Authors. Journal of Animal Ecology © 2013 British Ecological Society.

Entities:  

Keywords:  GPS; behavioural response race; ecology of fear; habitat selection; predation; predator-prey spatial game; space race; step selection functions

Mesh:

Year:  2013        PMID: 23859231     DOI: 10.1111/1365-2656.12108

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


  20 in total

1.  A spatial theory for characterizing predator-multiprey interactions in heterogeneous landscapes.

Authors:  Daniel Fortin; Pietro-Luciano Buono; Oswald J Schmitz; Nicolas Courbin; Chrystel Losier; Martin-Hugues St-Laurent; Pierre Drapeau; Sandra Heppell; Claude Dussault; Vincent Brodeur; Julien Mainguy
Journal:  Proc Biol Sci       Date:  2015-08-07       Impact factor: 5.349

2.  A unifying framework for quantifying the nature of animal interactions.

Authors:  Jonathan R Potts; Karl Mokross; Mark A Lewis
Journal:  J R Soc Interface       Date:  2014-07-06       Impact factor: 4.118

3.  Truly sedentary? The multi-range tactic as a response to resource heterogeneity and unpredictability in a large herbivore.

Authors:  Ophélie Couriot; A J Mark Hewison; Sonia Saïd; Francesca Cagnacci; Simon Chamaillé-Jammes; John D C Linnell; Atle Mysterud; Wibke Peters; Ferdinando Urbano; Marco Heurich; Petter Kjellander; Sandro Nicoloso; Anne Berger; Pavel Sustr; Max Kroeschel; Leif Soennichsen; Robin Sandfort; Benedikt Gehr; Nicolas Morellet
Journal:  Oecologia       Date:  2018-04-02       Impact factor: 3.225

4.  Testing the risk of predation hypothesis: the influence of recolonizing wolves on habitat use by moose.

Authors:  Kerry L Nicholson; Cyril Milleret; Johan Månsson; Håkan Sand
Journal:  Oecologia       Date:  2014-09       Impact factor: 3.225

5.  Variable strategies to solve risk-reward tradeoffs in carnivore communities.

Authors:  Joel Ruprecht; Charlotte E Eriksson; Tavis D Forrester; Derek B Spitz; Darren A Clark; Michael J Wisdom; Marcus Bianco; Mary M Rowland; Joshua B Smith; Bruce K Johnson; Taal Levi
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

6.  Equivalence between Step Selection Functions and Biased Correlated Random Walks for Statistical Inference on Animal Movement.

Authors:  Thierry Duchesne; Daniel Fortin; Louis-Paul Rivest
Journal:  PLoS One       Date:  2015-04-21       Impact factor: 3.240

7.  Step selection techniques uncover the environmental predictors of space use patterns in flocks of Amazonian birds.

Authors:  Jonathan R Potts; Karl Mokross; Philip C Stouffer; Mark A Lewis
Journal:  Ecol Evol       Date:  2014-11-26       Impact factor: 2.912

8.  Habitat and social factors shape individual decisions and emergent group structure during baboon collective movement.

Authors:  Ariana Strandburg-Peshkin; Damien R Farine; Margaret C Crofoot; Iain D Couzin
Journal:  Elife       Date:  2017-01-31       Impact factor: 8.140

9.  Uniting statistical and individual-based approaches for animal movement modelling.

Authors:  Guillaume Latombe; Lael Parrott; Mathieu Basille; Daniel Fortin
Journal:  PLoS One       Date:  2014-06-30       Impact factor: 3.240

10.  Territory surveillance and prey management: Wolves keep track of space and time.

Authors:  Ulrike E Schlägel; Evelyn H Merrill; Mark A Lewis
Journal:  Ecol Evol       Date:  2017-09-09       Impact factor: 2.912

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