Properties of the predator
The means by which predators capture their prey, or their hunting modes,
are a pervasive driver of context dependence in NCEs (Preisser et
al . 2007). Hunting predators, and their prey, are also characterized by
a habitat domain, or the spatial extent over which individuals move
while foraging (Schmitz 2005; Schmitz et al . 2017a). Together,
these properties form the ‘hunting mode-habitat domain concept’, which
aims to explain spatiotemporal contingency in the nature of
predator-prey interactions. It can predict how foraging predators and
prey should interact during the three phases as a consequence of
contingencies in their spatial movement and overlap, the nature of which
depends on how prey respond to the threat of predation across space.
Habitat domain size appears to be consistent among predators with
similar hunting modes (Miller et al . 2014). At one extreme of a
continuum, actively roaming/coursing predators typically have large
habitat domains; at the other, sit-and-wait/ambush predators usually
exhibit smaller domains. Notably, predators may switch hunting modes
(Helfman 1990; Olson & Eklov 2005; Donihue 2016), which can change
space use, habitat domain size, and contingency in the nature of
interactions. Smaller prey may forage locally, whereas larger prey may
roam widely depending on their forage requirements in relation to the
distribution of plant (or other resource) quality and productivity
(Haskell et al . 2002), creating contingency in prey movement and
habitat domain size. Further contingencies could arise if prey have
different habitat domain sizes as they adjust their movement behaviours
to the type of predator they face (Fischhoff et al . 2007; Merrillet al . 2010; Miller et al . 2014).
The spatiotemporal nature of predator-prey movement and overlap may
determine prey perception of predation risk (phase one). Sit-and-wait
predators, by remaining sedentary in fixed locations, create a
continuous presence within a narrow habitat domain (Schmitz 2007;
Schmitz et al . 2017a). Consequently, prey facing sit-and-wait
predators may have a heightened perception of risk because of the
persistent point-source cue of predator presence. Actively hunting
predators roam widely and thereby often produce diffused, moderate cues
in any given location within their broad habitat domain, resulting in
lower perception of risk by prey (Schmitz 2007). Consistent with this
framework, herbivorous snails (Tegula funebralis ) altered their
distribution in an intertidal ecosystem in response to the purple sea
star Pisaster ochraceus , which moves slowly within a narrow
domain producing an acute and spatially localized acute risk signature
(Murie & Bourdeau 2019). These snails did not alter their distribution
when exposed to crab and octopus predators that hunt actively within
larger domains and generate diffuse risk profiles. Hence, relative to
sedentary predators occupying narrow habitat domains, active predators
with large domains may be less likely to initiate direct and indirect
NCEs that play out during phases two and three (e.g., Schmitz 2008).
Prey responding to predator cues (phase two) must weigh potentially
considerable opportunity costs, in terms of energy and nutrient intake
(up to 25% of daily energy expenditure: Schmitz [2005]) and
survival, of remaining continuously vigilant given the likelihood of
encountering and being captured by a predator. Thus, prey occupying
landscapes with sit-and-wait predators may accept those costs and
respond with chronically heightened apprehension. This response could
involve heightened vigilance at the expense of reduced foraging, or
seeking safety in refuges, or both, depending on the sizes of their
habitat domain relative to their predator’s (Schmitz 2005).
Alternatively, prey facing active hunting predators may encounter
predators infrequently. Under these circumstances the prey should not be
chronically apprehensive and incur a large energetic penalty. Rather,
prey under these conditions should react acutely to imminent risk by
simply evading predators upon encounter (Schmitz 2005). There is
evidence that these divergent phase two scenarios can govern the nature
of indirect NCEs in phase three. For example, chronic avoidance of
sit-and-wait spider predators by grasshoppers increased plant diversity
while decreasing soil carbon retention, whereas a predator guild
dominated by actively-hunting spiders failed to elicit grasshopper
anti-predator behavior and, consequently, did not indirectly affect
plant composition and soil carbon via a non-consumptive pathway (Schmitzet al . 2017b).
Predator state is also a factor that can shape NCEs. State variation can
drive differences in a predator’s detectability (Scherer & Smee 2016)
and motivation to seek (i.e., its activity and, consequently,
spatiotemporal pattern of cue generation) and/or successfully attack
(i.e., its lethality) prey (Brown & Kotler 2004; Brown et al .
2016). This variation can range from being highly dynamic, as when
predator hunger elicits increased foraging activity (Hooten et
al . 2019), to persistent, as when aggressive behavioral types are more
likely to attack prey given an encounter (e.g., Michalko & Řežucha
2018). During phase one, dynamic changes to a predator’s feeding states
can alter its detectability to prey that rely on cues from depredated
conspecifics as signals of danger. For instance, mud crabs
(Panopeus herbstii ) detected and responded to predatory blue
crabs (Callinectes sapidus ) that had recently been fed a mud crab
diet at a greater distance than food-restricted blue crabs (Weissburg &
Beauvais 2015). By implication, predator populations that rely on such
prey species may be more likely to initiate NCEs that cascade through to
phase three. For instance, blue crabs that had fed recently on mud crabs
indirectly reduced consumption of a basal resource (oysters) by mud
crabs to a greater degree than their hungry counterparts (Weissburg &
Beauvais 2015).
During phase two, dynamic predator state changes can influence the
strength of anti-predator responses by prey over short intervals (e.g.,
when hungry predators are perceived as more threatening; Box
2 ). Thus, prevalence of certain states within predator populations
(e.g., compromised energetic state) could drive changes to overall prey
risk taking that are large enough to affect propagation of indirect NCEs
during phase three. More persistent differences in predator state can
give rise to marked inter-individual variation in the anti-predator
behavior induced by predators during phase two (Sih et al . 2012).
For example, goldfish (Carassius auratus ) with aggressive
temperaments elicited greater reduction in newt (Lissotriton
helveticus ) foraging than less aggressive conspecifics (Winandy &
Denoël 2015). By implication, the temperamental mix of predator
populations could influence the nature of prey defenses during phase two
and the likelihood of cascading NCEs in phase three.