Predator-prey shell games: large-scale movement and its implications for decision-making by prey

By W. Mitchell, S. Lima. 2002

198 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/94b13a765c775f35b455531cf06177fb8b15744d

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In Ecology, Evolution, Behavior and Systematics

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Citations in the corpus

Sleeping under the risk of predation (2005, background): “‘Shell game’ considerations, in which animals frequently shift sleeping sites to avoid predators (Mitchell & Lima 2002; also see Day & Elwood 1999), may also apply.”
Adaptive models for large herbivore movements in heterogeneous landscapes (2005, background): “Finally, predation risk was modeled in a static manner but predators could adapt their home ranges towards areas where prey are more abundant, creating further incentives for the prey to move ( Mitchell and Lima 2002; Schmidt and Ostfeld 2003).”
Livestock depredation by wolves and the ranching economy in the Northwestern U.S. (2009, background): “…of sheep to predators compared with cattle (Hell, 1993; Gipson and Paul, 1994; Ciucci and Boitani, 1998; Keeling and Gonyou, 2001) and support the importance of prey traits (Roberts, 1996; Lima, 1998; Brown, 1999; Mitchell and Lima, 2002) in influencing the outcome of wolf-livestock interactions.”
Memory keeps you at home: a mechanistic model for home range emergence (2009, background): “…for an animal usually decreases with residence time in the patch as a consequence of environmental processes like resource depletion (Charnov 1976) or increased predation risk (Mitchell and Lima 2002), or processes influencing individual motivation like satiation (Pettersson and Brönmark 1993).”
What drives fine-scale movements of large herbivores? A case study using moose (2010, background): “Most research dealing with animal movements have focused on why animals move in a certain way, or why they go from one location to another (e.g. to avoid food depletion, competitors or predators; Mitchell and Lima 2002).”
Spatial interaction between seabirds and prey: review and synthesis (2009, background): “To avoid aggregation of predators, it is therefore essential for the school to move rapidly and unpredictably (see e.g. Mitchell & Lima 2002).”
Time and space in general models of antipredator response: tests with wolves and elk (2008, background): “…(Werner et al. 1983; Lima 1990) Both of these broad approaches have proven very useful, but considering variation in risk across both space and time simultaneously can yield inferences that differ from those based only on spatial or temporal variation (Mitchell & Lima 2002; Creel & Winnie 2005).”
Statistical inference for home range overlap (2018, background): “Decisions on what areas to occupy can influence fitness through a wide range of pathways such as foraging efficiency (Mitchell & Powell, 2012) or predator–prey dynamics (Mitchell & Lima, 2002), and even drive evolutionary trajectories (Lukas & Clutton-Brock, 2013).”