Responding to spatial and temporal variations in predation risk: space use of a game species in a changing landscape of fear

By V. Tolon, Stéphane Dray, A. Loison, Achim Zeileis, C. Fischer, É. Baubet. 2009

186 citations recorded by the source corpus.

Predators generate a “landscape of fear” within which prey can minimize the risk of predation by selecting low-risk areas. Depending on the spatial structure of this “landscape”, i.e., whether it is coarse- or fine-grained, prey may respond to increased risk by shifting their home ranges or by fine-scale redistributions within these ranges, respectively. We studied how wild boar (Sus scrofa L., 1758) responded to temporal changes in risk in hunted areas (risky habitat) surrounding a nature reserve (refuge habitat). Animals with home ranges “in contact” with the reserve during the low-risk season were the only ones to shift toward the refuge when the risk increased. These shifts occurred at two temporal scales in response to the increased risk during the daytime and during the hunting season. Whereas animals not influenced by the reserve found food and shelter in forest during the hunting season, shifts to the refuge area were detrimental to the rather scarce forest areas in the reserve. This confirms that...

Subfields: Ecology, Small Animals

View Paper: https://www.semanticscholar.org/paper/e656417265635f3ec5af78beed2d48c87d202484

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In Ecology

In Small Animals

Citations in the corpus

Spatiotemporal behavioral plasticity of wild boar (Sus scrofa) under contrasting conditions of human pressure: primeval forest and metropolitan area (2013, background): “…by guest on 28 July 2018 habitat fragmentation has a profound effect on the spatial behavior of mammals due to the creation of patchy resource distribution and barriers that constrain animal movements (Campbell-Smith et al. 2011; Tolon et al. 2009; Vistnes et al. 2004).”
Landscapes of Fear: Spatial Patterns of Risk Perception and Response. (2019, background): “Landscapes of fear vary predictably with daily [8,62], monthly (lunar) [63,64], or seasonal cycles [65,66].”
Effects of hunting with hounds on a non-target species living on the edge of a protected area (2011, background): “A correct assessment of different forms of wildlife harassment should take into account not only the flight distance (Enggist-Düblin and Ingold, 2003), but also other behavioural responses such as modifications to home range and feeding behaviour (e.g.: Ciuti and Apollonio, 2008; St Clair and Forres”
Towards understanding wild boar Sus scrofa movement: a synthetic movement ecology approach (2014, background): “However, they do seem able to rely on their vision to collect information on what is immediately in front of them, which could explain their use of directed movement in fleeing circumstances (Tolon et al. 2009).”
Effects of hunting on wild boar Sus scrofa behaviour (2013, background): “Wild boar hunting by humans has been studied previously (Feichtner 1998, Sodeikat & Pohlmeyer 2003, Geisser & Reyer 2004, Keuling et al. 2008b, Tolon et al. 2009), but few studies onwild boar and hunting have provided data on the whereabouts of animals through radio telemetry (Sodeikat & Pohlmeyer…”
Hunting for fear: innovating management of human–wildlife conflicts (2013, background): “Ungulates can quickly assess gradients in hunter risk and will move towards areas with lower risk (Tolon et al. 2009).”