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

被引:89
作者
Latombe, Guillaume [1 ]
Fortin, Daniel [2 ]
Parrott, Lael [1 ]
机构
[1] Univ Montreal, Dept Geog, Complex Syst Lab, Montreal, PQ H3C 3J7, Canada
[2] Univ Laval, Dept Biol, Sylviculture & Wildlife Res Chair CRSNG Laval Uni, Quebec City, PQ G1V 0A6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
behavioural response race; ecology of fear; GPS; habitat selection; predation; predator-prey spatial game; space race; step selection functions; PREDATOR INSPECTION BEHAVIOR; HABITAT SELECTION; ANTIPREDATOR RESPONSE; ALCES-ALCES; SPACE USE; RISK; PREY; WOLVES; ELK; VIGILANCE;
D O I
10.1111/1365-2656.12108
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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 10days 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.
引用
收藏
页码:185 / 198
页数:14
相关论文
共 57 条
[1]  
[Anonymous], 2013, COSEWIC assessment and status report on the Lilliput Toxolasma parvum in Canada
[2]   Ecologically based definition of seasons clarifies predatorprey interactions [J].
Basille, Mathieu ;
Fortin, Daniel ;
Dussault, Christian ;
Ouellet, Jean-Pierre ;
Courtois, Rehaume .
ECOGRAPHY, 2013, 36 (02) :220-229
[3]   Predator inspection behaviour and attack cone avoidance in a characin fish: the effects of predator diet and prey experience [J].
Brown, GE ;
Dreier, VM .
ANIMAL BEHAVIOUR, 2002, 63 :1175-1181
[4]   Hazardous duty pay and the foraging cost of predation [J].
Brown, JS ;
Kotler, BP .
ECOLOGY LETTERS, 2004, 7 (10) :999-1014
[5]  
Brown JS, 1999, EVOL ECOL RES, V1, P49
[6]  
Chatterjee S., 2000, The use of regression analysis by example
[7]   Landscape management for woodland caribou: the protection of forest blocks influences wolf-caribou co-occurrence [J].
Courbin, Nicolas ;
Fortin, Daniel ;
Dussault, Christian ;
Courtois, Rehaume .
LANDSCAPE ECOLOGY, 2009, 24 (10) :1375-1388
[8]  
Courtois R, 2007, ECOSCIENCE, V14, P491, DOI 10.2980/1195-6860(2007)14[491:EOFDOD]2.0.CO
[9]  
2
[10]   Inference methods for the conditional logistic regression model with longitudinal data [J].
Craiu, Radu V. ;
Duchesne, Thierry ;
Fortin, Daniel .
BIOMETRICAL JOURNAL, 2008, 50 (01) :97-109