Literature Cited
Abrahams, M.V. & Kattenfield, M.G. (1997). The role of turbidity as a
constraint on predator-
prey interactions in aquatic environments. Behav. Ecol.
Sociobiol ., 40, 169–174.
Anholt, B.R. & Werner, E.E. (1995). Interaction between food
availability and predation
mortality mediated by adaptive behavior. Ecology , 76, 2230–2234.
Barton, B.T. & Schmitz, O.J. (2009). Experimental warming transforms
multiple predator
effects in a grassland food web. Ecol. Lett ., 12, 1317–1325.
Basille, M., Fortin, D., Dussault, C., Bastille-Rousseau, G., Ouellet,
J. & Courtois, R. (2015).
Plastic response of fearful prey to the spatiotemporal dynamics of
predator distribution. Ecology, 96, 2622–2631.
Begg, C. & Mazumdar, M. (1994). Operating characteristics of a rank
correlation test for
publication bias. Biometrics , 50, 1088–1101.
Belgrad, B.A. & Griffen, B.D. (2016). Predator-prey interactions
mediated by prey personality
and predator hunting mode. Proc. R. Soc. B ., 283, 20160408.
Berger-Tal, O. & Kotler, B.P. (2010). State of emergency: behavior of
gerbils is affected by the
hunger state of their predators. Ecology , 91, 593–600.
Berger-Tal, O., Mukherjee, S., Kotler, B.P. & Brown, J.S. (2010).
Complex state-dependent
games between owls and gerbils. Ecol. Lett ., 13, 302–310.
Bessey, C., Heithaus, M.R., Fourqurean, J.W., Gastrich, K.R. &
Burkholder, D.A. (2016).
Importance of teleost macrograzers to seagrass composition in a
subtropical ecosystem with abundant populations of megagrazers and
predators. Mar. Ecol. Prog. Ser., 553, 81–92.
Biro, P.A., Post, J.R. & Abrahams, M.V. (2005). Ontogeny of energy
allocation reveals selective
pressure promoting risk-taking behaviour in young fish cohorts.Proc. R. Soc. B., 272, 1443–1448.
Bolnick, D.I. & Preisser, E.L. (2005). Resource competition modifies
the strength of trait-
mediated predator-prey interactions: a meta-analysis. Ecology ,
86, 2771–2779.
Britton, N.F., Planqué, R. & Franks, N.R. (2007). Evolution of defense
portfolios in exploiter-
victim systems. Bull. Math. Biol. , 69, 957–988.
Brown, J.S. (1999). Vigilance, patch use and habitat selection: foraging
under predation risk.
Evol. Ecol. Res ., 1, 49–71.
Brown, J.S. (1988). Patch use as an indicator of habitat preference,
predation risk, and
competition. Behav. Ecol. Sociobiol ., 22, 37–47.
Brown, J.S. & Kotler, B.P. (2004). Hazardous duty pay and the foraging
cost of predation.
Ecol. Lett ., 7, 999–1014.
Brown, J.S., Embar, K., Hancock, E. & Kotler, B.P. (2016). Predators
risk injury too: the
evolution of derring-do in a predator–prey foraging game. Isr. J.
Ecol. Evol ., 62, 196–
204.
Burkholder, D.A., Heithaus, M.R., Fourqurean, J.W., Wirsing, A. & Dill,
L.M. (2013). Patterns
of top-down control in a seagrass ecosystem: could a roving predator
induce a behaviour-mediated trophic cascade? J. Anim. Ecol., 82,
1192–1202.
Caro, T. (2014). Antipredator deception in terrestrial vertebrates.Curr. Zool. , 60, 16–25.
Caro, T.M. (1995). Pursuit-deterrence revisited. Trends. Ecol.
Evol. , 10, 500–503.
Catano, L.B., Rojas, M.C., Malossi, R.J., Peters, J.R., Heithaus, M.R.,
Fourqurean, J.W. et al.
(2016). Reefscapes of fear: predation risk and reef hetero-geneity
interact to shape herbivore foraging behaviour. J. Anim. Ecol.,
85, 146–156.
Chamberlain, S.A., Bronstein, J.L. & Rudgers, J.A. (2014). How context
dependent are species
interactions? Ecol. Lett ., 17, 881–890.
Chan, A.A.Y., Giraldo-Perez, P., Smith, S. & Blumstein, D.T. (2010).
Anthropogenic noise
affects risk assessment and attention: the distracted prey hypothesis.Biol. Lett., 6, 458–461.
Charnov, E.L., Orians, G.H. & Hyatt, K. (1976). Ecological implications
of resource depression.
Am. Nat ., 110, 247–259.
Chesson, P. & Kuang, J.J. (2008). The interaction between predation and
competition. Nature ,
456, 235–238.
Christensen, B. (1996). Predator foraging capabilities and prey
antipredator behaviours: pre-
versus postcapture constraints on size-dependent predator-prey
interactions. Oikos, 76, 368–380.
Clark, C.W. (1994). Anti-predator behavior and the asset protection
principle. Behav. Ecol ., 5,
159–170.
Clinchy, M., Sheriff, M.J. & Zanette, L.Y. (2013) Predator-induced and
the ecology of fear.
Funct. Ecol. , 27, 56–65.
Courbin, N., Loveridge, A.J., Fritz, H., MacDonald, D.W., Patin, R.,
Valeix, M. et al . (2019).
Zebra diel migrations reduce encounter risk with lions at
night. J. Anim. Ecol., 88, 92–101.
Creel, S. (2018). The control of risk hypothesis: reactive vs. proactive
antipredator responses and
stress-mediated vs. food-mediated costs of response. Ecol. Lett.21, 947–956.
Creel, S. (2011). Toward a predictive theory of risk effects: hypotheses
for prey attributes
and compensatory mortality. Ecology , 92, 2190–2195.
Creel, S. & Christianson, D. (2008). Relationships between direct
predation and risk
effects. Trends Ecol. Evol ., 23, 194–201.
Creel, S., Winnie Jr., J.A., Christianson, D. & Liley, S. (2008). Time
and space in general
models of antipredator response: tests with wolves and elk. Anim.
Behav ., 76, 1139–1146.
Cresswell, W. (2008). Non-lethal effects of predation in birds.Ibis , 150, 3–17.
Dannock, R.J., Pays, O., Renaud, P.-C., Maron, M. & Goldizen, A.W.
(2019). Assessing blue
wildebeests’ vigilance, grouping and foraging responses to perceived
predation risk using playback experiments. Behav. Process., 164,
252–259.
Darwin C. (1839). Journal of researches into the geology and
natural history of the various
countries visited by H. M. S. Beagle, under the command of captain
Fitzroy, R. N. from 1832–1836. Henry Colburn, London, UK.
Dellinger, J.A., Shores, C.R., Craig, A., Heithaus, M.R., Ripple, W.J.
& Wirsing, A.J. (2019).
Habitat use of sympatric prey suggests divergent anti-predator responses
to recolonizing gray wolves. Oecologia, 189, 487–500.
Dewitt, T.J. , Sih. A. & Hucko, J.A. (1999). Trait compensation
and cospecialization in a
freshwater snail: size, shape and antipredator behaviour. Anim.
Behav ., 58, 397–407.
Diamond, K.M., Lagarde, R., Schoenfuss, H.L., Walker, J.A., Ponton, D.
& Blob, R.W. (2019).
Relationship of escape performance with predator regime and ontogeny in
fishes. Biol. J. Linnean Soc., 127, 324–336.
Dill, L.M., Heithaus, M.R. & Walters, C.J. (2003). Behaviorally
mediated indirect interactions in
marine xommunities and theur conservation implications. Ecology,
84, 1151–1157.
Donihue, C.M. (2016). Aegean wall lizards switch foraging modes, diet,
and morphology in a
human-built environment. Ecol. Evol., 6, 7433–7442.
Dröge, E., Creel, S., Becker, M.S. & M’soka, J. (2018). Risky times and
risky places interact to
affect prey behavior. Nat. Ecol. Evol ., 1, 1123–1128.
Embar, K., Raveh, A., Burns, D. & Kotler, B.P. (2014a). To dare or not
to dare? Risk
management by owls in a predator-prey foraging game. Oecologia ,
175, 825–834.
Embar, K., Mukherjee, S. & Kotler, B.P. (2014b). What do predators
really want? The role of
gerbil energetic state in determining prey choice by barn owls.Ecology , 95, 280–285.
Embar, K., Kotler, B.P. & Mukherjee, S. (2011). Risk management in
optimal foragers: the
effect of sightlines and predator type on patch use, time allocation,
and vigilance in gerbils. Oikos, 120, 1657–1666.
Ferrari, M.C.O., Wisenden, B.D. & Chivers, D.P. (2010). Chemical
ecology of predator-prey
interactions in aquatic ecosystems: a review and prospectus. Can.
J. Zool ., 88, 698–724.
Ferrari, M.C.O., Sih, A. & Chivers, D.P. (2009). The paradox of risk
allocation: a review and
prospectus. Anim. Behav ., 78, 579–585.
Ferrari, M.C.O., Capitania-Kwok, T. & Chivers, D.P. (2006). The role of
learning in the
acquisition of threat-sensitive responses to predator odours.Behav. Ecol. Sociobiol., 60, 522–527.
Fischhoff, I.R., Sundaresan, S.R., Cordingley, J. & Rubenstein, D.I.
(2007). Habitat use and
movements of plains zebra (Equus burchelli) in response to
predation danger from lions. Behav. Ecol., 18, 725–729.
Ford, A.T. & Goheen, J.R. (2015). Trophic cascades by large carnivores:
A case for
strong inference and mechanism. Trends Ecol. Evol. , 30, 725–735.
Gavini, S.S., Quintero, C. & Tadey, M. (2019). Intraspecific variation
in body size of bumblebee
workers influences anti-predator behavior. J. Anim. Ecol ., in
press (accepted).
Gaynor, K.M., Brown, J.S., Middleton, A.M., Power, M.E. & Brashares,
J.S. (2019). Landscapes
of fear: spatial patterns of risk perception and response. Trends
Ecol. Evol ., 34, 355–368.
Gorini, L., Linnell, J.D.C., May, R., Panzacchi, M., Boitani, L., Odden,
M. et al. (2011). Habitat
heterogeneity and mammalian predator-prey interactions. Mammal
Rev. , 42, 55–77.
Gurevitch, J. & Hedges, L. (1999). Statistical issues in ecological
meta-analyses. Ecology ,
80, 1142–1149.
Gurevitch J. & Hedges, L.V. (1993).
Meta-analysis: Combining the results
of independent
experiments. In Design and analysis of ecological experiments(eds Scheiner, S.M., Gurevitch, J.). Chapman and Hall, New York, New
York, USA, pp 378–398.
Harvey, P.H. & Paxton, R.J. (1981). The evolution of aposematic
coloration. Oikos , 37, 391–
393.
Haskell, J.P., Ritchie, M.E. & Olff, H. (2002). Fractal geomery
predicts varying body size
scaling relationships for mammal and bird home ranges. Nature,
418, 527–530.
Hedges, L.V. & Olkin, I. (1985). Statistical techniques for
meta-analysis . Academic Press, New
York, New York, USA.
Hedges, L.V., Gurevitch, J. & Curtis, P.S. (1999). The meta-analysis of
response ratios in
experimental ecology. Ecology , 80, 1150–1156.
Heithaus, M.R. & Dill, L.M. (2006). Does tiger shark predation risk
influence habitat use by
bottlenose dolphins at multiple spatial scales? Oikos , 114,
257–264.
Heithaus, M.R., Wirsing, A.J. & Dill, L.M. (2012). The ecological
importance of intact top-
predator populations: a synthesis of 15 years of research in a seagrass
ecosystem. Mar. Freshwater Res., 63, 1039–1050.
Heithaus, M.R., Wirsing, A.J., Burkholder, D., Thomson, J. & Dill, L.M.
(2009). Towards a
predictive framework for predator risk effects: the interaction of
landscape features and prey escape behavior. J. Anim. Ecol., 78,
556–562.
Heithaus, M.R., Frid, A., Wirsing, A.J., & Worm, B. (2008). Predicting
ecological consequences
of marine top predator declines. Trend. Ecol. Evol. , 23,
202–210.
Heithaus, M.R., Frid, A., Wirsing, A.J., Dill, L.M., Fourqurean, J.W.,
Burkholder, D. et al .
(2007). State-dependent risk-taking by green sea turtles mediates
top-down effects of shark intimidation in a marine ecosystem. J.
Anim. Ecol., 76, 837–844.
Heithaus, M.R., Hamilton, I.M., Wirsing, A.J. & Dill. L.M. (2006).
Validation of a
randomization procedure to assess animal habitat preferences:
microhabitat use of tiger sharks in a seagrass ecosystem. J. Anim.
Ecol., 75, 666–676.
Heithaus, M.R., Dill. L.M., Marshall, G.J. & Buhleier, B. (2002).
Habitat use and foraging
behavior of tiger sharks (Galeocerdo cuvier) in a seagrass
ecosystem. Mar. Biol., 140, 237–248.
Helfman, G. (1990). Mode selection and mode switching in foraging
animals. Adv. Stud. Behav .,
Hooten, M.B., Scharf, H.R. & Morales, J.M. (2019). Running on empty:
recharge dynamics from
animal movement data. Ecol. Lett ., 22, 377–389.
Hopcraft, J.G., Olff, H. & Sinclair, A.R.E. (2010). Herbivores,
resources, and risks: alternating
regulation along primary along environmental gradients in savannas.Trends Ecol. Evol., 25, 119–128.
Hossie, T.J. & Murray, D.L. (2011). Effects of structural refuge and
density on foraging
behaviour and mortality of hungry tadpoles subject to predation risk.Ethology, 117, 777–785.
Humphreys, R.K. & Ruxton G.D. (2018). A review of thanatosis (death
feigning) as an anti-
predator strategy. Behav. Ecol. Sociobiol., 72, 22.
Kavaliers, M. & Choleris, E. (2001). Antipredator responses and
defensive behavior: ecological
and ethological approaches for the neurosciences. Neurosci.
Biobehav. Rev., 25, 577–586.
Kohl, M.T., Stahler, D.R., Metz, M.C., Forester, J.D., Kauffman, M.J.,
Varley, N. et al . (2018).
Diel predator activity drives a dynamic landscape of fear. Ecol.
Monogr ., 88, 638–652.
Korpimaki, E., Koivunen, V. & Hakkarainen, H. (1996). Microhabitat use
and behavior of voles
under weasel and raptor predation risk: predator facilitation?Behav. Ecol., 7, 30–34.
Kotler, B.P. (1997). Patch use by gerbils in a risky environment:
manipulating food and safety to
test four models. Oikos , 78, 274–282.
Kotler, B.P. (1984). Risk of predation and the structure of desert
rodent communities. Ecology ,
65, 689–701.
Kotler, B.P., & Holt, R.D. (1989). Predation and competition: the
interaction of two types of
species interactions. Oikos , 54, 256–259.
Kotler, B.P., Brown, J.S., Mukherjee, S., Berger-Tal, O. & Bouskila, A.
(2010). Moonlight
avoidance in gerbils reveals a sophisticated interplay among time
allocation, vigilance and state-dependent foraging. Proc. R. Soc.
B., 277, 1469–1474.
Kotler, B.P., Brown, J.S. & Bouskila, A. (2004). Apprehension and time
allocation in gerbils: the
effects of predatory risk and energetic state. Ecology , 85,
917–922.
Kotler, B.P., Brown, J.S., Dall, S.R.X., Gresser, S., Ganey, D. &
Bouskila, A. (2002). Foraging
games between gerbils and their predators: temporal dynamics of resource
depletion and apprehension in gerbils. Evol. Ecol. Res., 4,
495–518.
Kotler, B.P., Brown, J.S. & Mitchell, W.A. (1993). Environmental
factors affecting patch use in
two gerbilline rodents. J. Mammal., 74, 614–620.
Kotler, B.P., Blaustein, L. & Brown, J.S. (1992). Predator
facilitation: the combined effect of
snakes and owls on the foraging behavior of gerbils. Ann. Zool.
Fenn. , 29, 199–206.
Kotler, B.P., Brown, J.S. & Hasson, O. (1991). Factors affecting gerbil
foraging behavior and
rates of owl predation. Ecology, 72, 2249–2260.
Lank, D.B. & Ydenberg, R.C. (2003). Death and danger at migratory
stopovers: problems with
“predation risk”. J. Avian Biol., 34, 225–228.
Le Roux, E., Kerley, G.I.H. & Cromsigt, J.P.G.M. (2018). Megaherbivores
modify trophic
cascades triggered by fear of predation in an African savanna ecosystem.Curr. Biol., 28, 2493–2499.
Lehtonen, J. & Jaatinen, K. (2016). Safety in numbers: the dilution
effect and other drivers of
group life in the face of danger. Behav. Ecol. Sociobiol ., 70,
449–458.
Lima, S.L. (1998). Stress and decision making under the risk of
predation: recent developments
from behavioral, reproductive, and ecological perspectives. Adv.
Study Behav., 27, 215–290.
Lima, S.L. (1992). Strong preference for apparently dangerous habitats
– a consequence of
differential escape from predators. Oikos , 64, 597–600.
Lima, S.L. & Bednekoff, P.A. (1999). Temporal variation in danger
drives antipredator
behavior: the predation risk allocation hypothesis. Am. Nat .,
153, 649–659.
Lima, S.L. & Dill, L.M. (1990). Behavioral decisions made under the
risk of predation:
a review and prospectus. Can. J. Zool ., 68, 619–640.
Lingle, S. (1993). Escape gaits of white-tailed deer, mule deer, and
their hybrids: body
configuration, biomechanics, and function. Can. J. Zool ., 71,
708–724.
Lingle, S. & Pellis, S. (2002). Fight or flight? Antipredator behavior
and the escalation of
coyote encounters with deer. Oecologia , 131, 154–164.
Lurling, M. & Scheffer, M. (2007). Info-disruption: pollution and the
transfer of chemical
information between organisms. Trends Ecol. Evol ., 22, 374–379.
Maginnis, T.L. (2006). The costs of autotomy and regeneration in
animals: a review and
framework for future research. Behav. Ecol. , 17, 857–872.
Makon, D. F., Kotler, B.P., Brown, J.S., Garrido, M. & Menezes, J.F.S.
(in press ). Living with the enemy: how an endoparasitic bacterium
inhibits the foraging aptitudes and risk management behaviour of
Allenby’s gerbils. Am. Nat.
Matassa, C.M. & Trussell, G.C. (2014). Prey state shapes the effects of
temporal variation in
predation risk. Proc. R. Soc. B , 281, 20141952.
Matassa, C.M., Donelan, S.C., Luttbeg, B. & Trussell, G.C. (2016)
Resource levels and prey
state influence antipredator behavior and the strength of nonconsumptive
predator effects. Oikos, 125, 1478–1488.
Meadows, A.J., Owen, J.P. & Snyder, W.E. (2017). Keystone
nonconsumptive effects within a
diverse predator community. Ecol. Evol., 7, 10315–10325.
Merrill, E., Sand, H., Zimmermann, B., McPhee, H., Webb, N.,
Hebblewhite, M. et al . (2010).
Building a mechanistic understanding of predation with GPS-based
movement data. Phil. Trans. R. Soc. B, 365, 2279–2288.
Michalko, R. & Řežucha, R. (2018). Top predator’s aggressiveness and
mesopredator’s risk-
aversion additively determine probability of predation. Behav.
Ecol. Sociobiol ., 72, 105.
Middleton, A.D., Kauffman, M.J., McWhirter, D.E., Jimenez, M.D., Cook,
R.C., Cook, J.G. et
al . (2013). Linking anti-predator behavior to prey demography
reveals limited risk effects
of an actively hunting large carnivore. Ecol. Lett., 16,
1023–1030.
Miller, J.R., Ament, J.M. & Schmitz, O.J. (2014). Fear on the move:
predator hunting mode
predicts variation in prey mortality and plasticity in prey spatial
response. J. Anim. Ecol., 83, 214–222.
Mittlebach, G.G., Ballew, N.G. & Kjelvik, M. K. (2012). Fish behavioral
types and their
ecological consequences. Can. J. Fish. Aquat. Sci. , 71, 927–944.
Moll, R.J., Redilla, K.M., Mudumba, T., Muneza, A.B., Gray, S.M., Abade,
L. et al . (2017). The
many faces of fear: a synthesis of the methodological variation in
characterizing predation risk. J. Anim. Ecol., 86, 749–765.
Moll, R.J., Killion, A.K., Montgomery, R.A., Tembling, C.J. & Hayward,
M.W. (2016). Spatial
patterns of African ungulate aggregation reveal complex but limited risk
effects from reintroduced carnivores. Ecology, 97, 1123–1134.
Moll, R.J., Millspaugh, J.J., Beringer, J., Sartwell, J. & He, Z.
(2007). A new ‘view’ of ecology
and conservation through animal-borne video systems. Trend. Ecol.
Evol ., 22, 660–668.
Moore, T.Y. & Biewener, A.A. (2015). Outrun or outmaneuver:
predator-prey interactions as a
model system for integrating biomechanical studies in a broader
ecological and evolutionary context. Integr. Comp. Biol., 55,
1188–1197.
Moran, N.P., Wong, B.B.M. & Thompson, R.M. (2017). Weaving animal
temperament into food
webs: implications for biodiversity. Oikos , 126, 917–930.
Mukherjee, S. & Heithaus, M.R. (2013). Dangerous prey and daring
predators: a review. Biol.
Rev ., 88, 550–563.
Munoz, N.E. & Blumstein, D.T. (2012). Multisensory perception in
uncertain environments.
Behav. Ecol. , 23, 457–462.
Murali, G. (2018). Now you see me, now you don’t: dynamic flash
coloration as an antipredator
strategy in motion. Anim. Behav. , 142, 207–220.
Murie, K.A. & Bourdeau, P.E. (2019). Predator identity dominates
non-consumptive effects in
a disease-impacted rocky shore food web. Oecologia , 191,
945–956.
Murray, D.L., Roth, J.D. & Wirsing, A.J. (2004). Predation risk
avoidance by terrestrial
amphibians: the role of prey experience and vulnerability to native and
exotic predators. Ethology, 110, 635–647.
Nelson, M.E. & Mech, L.D. (1991). Wolf predation risk associated with
white-tailed deer
movements. Can. J. Zool ., 69, 2696–2699.
Nicholson, K.L., Milleret, C., Månsson, J. & Sand, H. (2014). Testing
the risk of predation
hypothesis: the influence of recolonizing wolves on habitat use by
moose. Oecologia, 176, 69–80.
Olsson, J. & Eklöv, P. (2005). Habitat structure, feeding mode and
morphological
reversibility: factors influencing phenotypic plasticity in perch.Evol. Ecol. Res., 7, 1109– 1123.
Orrock, J.L., Preisser, E.L., Grabowski, J.H. & Trussell, G.C. (2013).
The cost of safety: refuges
increase the impact of predation risk in aquatic systems.Ecology , 94, 573–579.
Peacor, S.D. & Werner, E.E. (2001). The contribution of trait-mediated
indirect effects to the
net effects of a predator. Proc. Natl. Acad. Sci. USA ., 98,
3904–3908.
Pokallus, J.W. & Pauli, J.N. (2016). Predation shapes the movement of a
well-defended species,
the North American porcupine, even when nutritionally stressed.Behav. Ecol., 27, 470–475.
Post, E., Peterson, R.O., Stenseth, N.C. & McLaren, B.E. (1999).
Ecosystem consequences of
wolf behavioral response to climate. Nature , 401, 905–907.
Preisser, E.L., Bolnick, D.I. & Grabowski, J.H. (2009). Resource
dynamics influence the
strength of non-consumptive predator effects on prey. Ecol.
Lett ., 12, 315–323.
Preisser, E.L., Orrock, J.L., & Schmitz, O.J. (2007). Predator hunting
mode and habitat domain
alter nonconsumptive effects in predator-prey interactions.Ecology , 88, 2744–51.
Preisser, E.L., Bolnick, D.I., & Benard, M.F. (2005) Scared to death?
The effects of intimidation
and consumption in predator-prey interactions. Ecology , 86,
501–509.
Prugh, L.R., Sivy, K.J., Mahoney, P.J., Ganz, T.R., Ditmer, M.A., van de
Kerk, M. et al. (2019).
Designing studies of predation risk for improved inference in
carnivore-ungulate systems. Biol. Cons., 232, 194–207.
Prugh, L.R. & Golden, D. (2014). Does moonlight increase predation
risk? Meta-analysis
reveals divergent responses of nocturnal mammals to lunar cycles.J. Anim. Ecol., 83, 504–514.
Raveh, A. (2018). Ectoparasitism as a cost-incurring behavioural
modifier in Allenby’s
gerbil (Gerbillus andersoni allenbyi). Ph.D. dissertation,
Ben-Gurion University of the Negev, Be’er Sheva, Israel, pp. 1–72.
Raveh, A., Kotler, B.P., Abramsky, Z. & Krasnov, B.R. (2011). Driven to
distraction: detecting
the hidden costs of flea parasitism through foraging behaviour in
gerbils. Ecol. Lett., 14, 47–51.
Réale, D., Reader, S.M., Sol, D., McDougall, P.T. & Dingemanse, N.J.
(2007). Integrating
animal temperament within ecology and evolution. Biol. Rev ., 82,
291–318.
Scherer, A.E., and Smee, D.L. (2016). A review of predator diet effects
on prey defensive
responses. Chemoecology , 26, 83–100.
Schmitz, O.J. (2017). Predator and prey functional traits: understanding
the adaptive machinery
driving predator-prey interactions. F1000Research, 6, 1767.
Schmitz, O.J. (2008). Effects of predator hunting mode on grassland
ecosystem function.
Science , 319, 952–954.
Schmitz, O.J. (2007). Predator diversity and trophic interactions.Ecology , 88, 2415–2426.
Schmitz, O. J. (2005). Behavior of predators and prey and links with
population-level processes.
In Ecology of Predator-Prey Interactions (eds Barbosa, P.,
Castellanos, I.). Oxford University Press, New York, New York, USA, pp.
256–278.
Schmitz, O.J. & Trussell, G.C. (2016). Multiple stressors,
state-dependence and predation risk
– foraging trade-offs: toward a modern concept of trait-mediated
indirect effects in communities and ecosystems. Curr. Opin. Behav.
Sci., 12, 6–11.
Schmitz, O.J. & Barton, B.T. (2014). Climate change effects on
behavioral and physiological
ecology of predator-prey interactions. Biol. Control , 75, 87–96.
Schmitz, O.J., Miller, J.R.B., Trainor, A.M. & Abrahms, B. (2017a).
Toward a community
ecology of landscapes: predicting multiple predator-prey interactions
across geographic space. Ecology, 98, 2281–2292.
Schmitz, O.J., Buchkowski, R.W., Smith, J.R., Telhorst, M. &
Rosenblatt, A.E. (2017b).
Predator community composition is linked to soil carbon retention across
a human use gradient. Ecology, 98, 1256–1265.
Schmitz, O.J., Krivan, V., & Ovadia, O. (2004). Trophic cascades: the
primacy of trait-mediated
indirect interactions. Ecol. Lett. 7, 153–163.
Sharpe, L.L., Joustra, A.S. & Cheery, M.I. (2010). The presence of an
avian co-forager reduces
vigilance in a cooperative mammal. Biol. Lett ., 6, 475–477.
Sih, A. (1987). Prey refuges and predator-prey stability. Theor.
Popul. Biol ., 31, 1–12.
Sih, A., Mathot, K.J., Moirón, M., Montiglio, P., Wolf, M. &
Dingemanse, N.J. (2015). Animal
personality and state-behavior feedbacks: a review and guide for
empiricists. Trend. Ecol. Evol., 30, 50–60.
Sih, A., Cote, J., Evans, M., Fogarty, S. & Pruitt, J. (2012).
Ecological implications of behavioral
syndromes. Ecol. Lett ., 15, 278–289.
Sih, A., Bolnick, D.I., Luttbeg, B., Orrock, J.L., Peacor, S.D., Pintor,
L.M. et al . (2010).
Predator-prey naïveté, antipredator behavior, and the ecology of
predator invasions. Oikos, 119, 610–21.
Sih, A., Bell, A. & Johnson, J.C. (2004). Behavioral syndromes: an
ecological and evolutionary
overview. Trends Ecol. Evol. , 19, 372–378.
Sih, A., Englund, G. & Wooster, D. (1998). Emergent impacts of multiple
predators on prey.
Trends Ecol. Evol. , 13, 350–355.
Sinclair, A.R.E. & Arcese, P. (1995). Population consequences of
predation-sensitive foraging:
the Serengeti wildebeest. Ecology , 76, 882–891.
Smith, J.A., Donadio, E., Pauli, J.N., Sheriff, M.J. & Middleton, A.D.
(2019). Integrating
temporal refugia into landscapes of fear: prey exploit predator
downtimes to forage in risky places. Oecologia, 189, 883–890.
Thaker, M., Vanak, A.T., Owen, C.R., Ogden, M.B., Niemann, S.M. &
Slotow, R. (2011).
Minimizing predation risk in a landscape of multiple predators: effects
on the spatial distribution of African ungulates. Ecology, 92,
398–407.
Tollrian, R., and Harvell, C.D. (1999). The ecology and evolution
of inducible defenses .
Princeton University Press, Princeton, NJ, USA.
Trussell, G.C., Ewanchuk, P.J. & Matassa, C.M. (2006). Habitat effects
on the relative
importance of trait- and density-mediated indirect interactions.Ecol. Lett ., 9, 1245–1252.
Turner, A.M. & Chislock, M.F. (2010). Blinded by the stink: nutrient
enrichment impairs the
perception of predation risk by freshwater snails. Ecol. Appl .,
20, 2089–2095.
Valeix, M., Loveridge, A.J., Chamaillé-Jammes, S., Davidson, Z.,
Murindagomo, F., Fritz, H. et
al. (2009). Behavioral adjustments of African herbivores to
predation risk by lions:
spatiotemporal variations influence habitat use. Ecology , 90,
23–30.
Wallace, B.C., Lajeunesse, M.J., Dietz, G., Dahabreh, I.J., Trikalinos,
T.A., Schmid, C.H. et al .
(2017). OpenMEE: Intuitive, open-source software for
meta-analysis in ecology and evolutionary biology. Methods Ecol.
Evol., 8, 941–947.
Ward, A.J.W. & Mehner, T. (2010). Multimodal mixed messages: the use of
multiple cues
allows greater accuracy in social recognition and predator detection
decisions in the mosquitofish, Gambusia holbrooki. Behav.
Ecol., 21, 1315–1320.
Weissburg, M. & Beauvais, J. (2015). The smell of success: the amount
of prey consumed by
predators determines the strength and range of cascading non-consumptive
effects. Peer J, 3, e1426.
Werner, E.E. & Peacor, S.D. (2003). A review of trait-mediated indirect
interactions in
ecological communities. Ecology , 84, 1083–1100.
Weissburg, M., Smee, D.L. & Ferner, M.C. (2014). The sensory ecology of
nonconsumptive
predator effects. Am. Nat. , 184, 141–157.
Willems, E.P. & Hill, R.A. (2009). Predator-specific landscapes of fear
and resource
distribution: effects on spatial range use. Ecology , 90,
546–555.
Winandy, L. & Denoël, M. (2015). The aggressive personality of an
introduced fish affects
foraging behavior in a polymorphic newt. Behav. Ecol ., 26,
1528–1536.
Wirsing, A.J. & Heithaus, M.R. (2014). Accounting for individual
behavioural variation in
studies of habitat selection. J. Anim. Ecol ., 83, 319–321.
Wirsing, A.J. & Ripple, W.J. (2011). A comparison of shark and wolf
research reveals similar
behavioral responses by prey. Front. Ecol. Environ ., 9, 335–341.
Wirsing, A.J. & Heithaus, M.R. (2009). Olive-headed sea snakesDisteria major shift seagrass
microhabitats to avoid shark predation. Mar. Ecol. Prog. Ser .,
387, 287–293.
Wirsing, A.J., Cameron, K.E. & Heithaus, M.R. (2010). Spatial responses
to predators vary with
prey escape mode. Anim. Behav ., 79, 531–537.
Wirsing, A.J., Heithaus, M.R. & Dill, L.M. (2007). Living on the edge:
dugongs prefer to forage
in microhabitats that allow escape from rather than avoidance of
predators. Anim. Behav., 74, 93–101.
Zvereva, E.L. & Kozlov, M.V. (2016). The costs and effectiveness of
chemical defenses in
herbivorous insects: a meta-analysis. Ecol. Monogr ., 86,
107–124.