Literature DB >> 23701257

Multi-trophic resource selection function enlightens the behavioural game between wolves and their prey.

Nicolas Courbin1, Daniel Fortin, Christian Dussault, Viviane Fargeot, Réhaume Courtois.   

Abstract

1. Habitat selection strategies translate into movement tactics, which reckon with the predator-prey spatial game. Strategic habitat selection analysis can therefore illuminate behavioural games. Cover types at potential encounter sites (i.e. intersections between movement paths of predator and prey) can be compared with cover types available (i) within the area of home-range-overlap (HRO) between predator and prey; and (ii) along the path (MP) of each species. Unlike the HRO scale, cover-type availability at MP scale differs between interacting species due to species-specific movement decisions. Scale differences in selection could therefore inform on divergences in fitness rewarding actions between predators and prey. 2. We used this framework to evaluate the spatial game between GPS-collared wolves (Canis lupus) versus caribou (Rangifer tarandus), and wolf versus moose (Alces alces). 3. Changes in cover-type availability between HRO and MP revealed differences in how each species fine-tuned its movements to habitat features. In contrast to caribou, wolves increased their encounter rate with regenerating cuts along their paths (MP) relative to the HRO level. As a consequence, wolves were less likely to cross caribou paths in areas with higher percentage of regenerating cuts than expected based on the availability along their paths, whereas caribou had a higher risk of intersecting wolf paths by crossing these areas, relative to random expectation along their paths. Unlike for caribou, availability of mixed and deciduous areas decreased from HRO to MP level for wolves and moose. Overall, wolves displayed stronger similarities in movement decisions with moose than with caribou, thereby revealing the focus of wolves on moose. 4. Our study reveals how differences in fine-scale movement tactics between species create asymmetric relative encounter probabilities between predators and prey, given their paths. Increase in relative risk of encounter for prey and decrease for predators associated with specific cover types emerging from HRO to MP scale analysis can disclose potential weaknesses in current movement tactics involved the predator-prey game, such as caribou use of cutovers in summer-autumn. In turn, these weaknesses can inform on subsequent changes in habitat selection tactics that might arise due to evolutionary forces.
© 2013 The Authors. Journal of Animal Ecology © 2013 British Ecological Society.

Entities:  

Keywords:  Alces alces; Canis lupus; Rangifer tarandus; managed Canadian boreal forest; multi‐trophic analyses; predator‐multi‐prey behavioural game; search tactic; wolf–prey encounter

Mesh:

Year:  2013        PMID: 23701257     DOI: 10.1111/1365-2656.12093

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


  9 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.  Robustness of movement models: can models bridge the gap between temporal scales of data sets and behavioural processes?

Authors:  Ulrike E Schlägel; Mark A Lewis
Journal:  J Math Biol       Date:  2016-04-20       Impact factor: 2.259

3.  Not accounting for interindividual variability can mask habitat selection patterns: a case study on black bears.

Authors:  Rémi Lesmerises; Martin-Hugues St-Laurent
Journal:  Oecologia       Date:  2017-09-09       Impact factor: 3.225

4.  Dynamic interactions between apex predators reveal contrasting seasonal attraction patterns.

Authors:  S Périquet; H Fritz; E Revilla; D W Macdonald; A J Loveridge; G Mtare; M Valeix
Journal:  Oecologia       Date:  2021-01-28       Impact factor: 3.225

Review 5.  Predator and prey functional traits: understanding the adaptive machinery driving predator-prey interactions.

Authors:  Oswald Schmitz
Journal:  F1000Res       Date:  2017-09-27

6.  High carnivore population density highlights the conservation value of industrialised sites.

Authors:  Daan J E Loock; Samual T Williams; Kevin W Emslie; Wayne S Matthews; Lourens H Swanepoel
Journal:  Sci Rep       Date:  2018-11-08       Impact factor: 4.379

7.  Weak spatiotemporal response of prey to predation risk in a freely interacting system.

Authors:  Jeremy J Cusack; Michel T Kohl; Matthew C Metz; Tim Coulson; Daniel R Stahler; Douglas W Smith; Daniel R MacNulty
Journal:  J Anim Ecol       Date:  2019-03-21       Impact factor: 5.091

8.  Prey and habitat distribution are not enough to explain predator habitat selection: addressing intraspecific interactions, behavioural state and time.

Authors:  Alexis Grenier-Potvin; Jeanne Clermont; Gilles Gauthier; Dominique Berteaux
Journal:  Mov Ecol       Date:  2021-03-20       Impact factor: 3.600

9.  Habitat selection by wolves and mountain lions during summer in western Montana.

Authors:  Collin J Peterson; Michael S Mitchell; Nicholas J DeCesare; Chad J Bishop; Sarah S Sells
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

  9 in total

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