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. 2019 May 3;66(1):57–62. doi: 10.1093/cz/zoz022

Size-dependent locomotory performance creates a behaviorally mediated prey size refuge in the marine snail Olivella semistriata: a study in the natural habitat

Callie A Veelenturf 1,2, Winfried S Peters 2,3,
Editor: Zhi-Yun Jia
PMCID: PMC7245010  PMID: 32467705

Abstract

The effects of the variability of individual prey locomotory performance on the vulnerability to predation are poorly understood, partly because individual performance is difficult to determine in natural habitats. To gain insights into the role(s) of individual variation in predatory relationships, we study a convenient model system, the neotropical sandy beach gastropod Olivella semistriata and its main predator, the carnivorous snail Agaronia propatula. The largest size class of O. semistriata is known to be missing from A. propatula’s spectrum of subdued prey, although the predator regularly captures much larger individuals of other taxa. To resolve this conundrum, we analyzed predation attempts in the wild. While A. propatula attacked O. semistriata of all sizes, large prey specimens usually escaped by ‘sculling’, an accelerated, stepping mode of locomotion. Olivella semistriata performed sculling locomotion regardless of size, but sculling velocities determined in the natural environment increased strongly with size. Thus, growth in size as such does not establish a prey size refuge in which O. semistriata is safe from predation. Rather, a behaviorally mediated size refuge is created through the size-dependence of sculling performance. Taken together, this work presents a rare quantitative characterization in the natural habitat of the causal sequence from the size-dependence of individual performance, to the prey size-dependent outcome of predation attempts, to the size bias in the predator’s prey spectrum.

Keywords: Escape response, Prey size refuge, Locomotory performance, Predator–prey size ratio, Olivella semistriata, Agaronia propatula


Locomotory performance, the efficiency of locomotion in terms of acceleration, speed, maneuvering abilities, and endurance, relates to survival and thus to fitness in mobile prey species (Webb 1986). Unfortunately, the practical determination of the role of locomotory performance in predator–prey relationships is complicated by several factors. First, locomotion performed in controlled settings does not necessarily reflect locomotory performance in the wild (Irschick and Garland 2001). Similarly, prey escape responses triggered by artificial stimuli in experiments are not necessarily valid models for prey behavior under attack by a real predator that may show variable behavior itself. Therefore, behavioral studies in natural habitats are essential for understanding the ecological and evolutionary significance of prey locomotory capabilities in the context of escape responses (Moore and Biewener 2015). Second, behavior and performance in a given situation may differ individually, be it because individuals exhibit different ‘personalities’ (Wolf and Weissing 2012), or because individual capabilities change in the course of ontogenetic development (De Roos and Persson 2013). As a result, averaging performance over a population or species is likely to produce misleading results. Consequently, investigations into the role(s) of locomotory performance should focus on individual interactions between predator and prey, especially if individual variability must be suspected to be of a systematic rather than stochastic nature (Nakazawa 2017).

Among classical investigations into predator–prey interactions that drove the development of ecological theory, studies of intertidal benthic invertebrate communities were particularly influential (Robles and Desharnais 2002). Marine gastropods, for example, respond to invertebrate predators with a variety of defensive behaviors including flight (Ansell 1969), and several population- and community-level effects of gastropod defense responses have been characterized (Fishlyn and Phillips 1980; Hadlock 1980; Garrity and Levings 1981). Still, the ecological relevance of numerous apparent flight responses described in marine gastropods has remained unclear. Gastropod flight velocities were rarely quantified and the dependence of locomotory performance on individual body size seems to have been determined in not more than a single study. Schmitt (1981) found positive correlations between size and speed of locomotion in three of the four gastropod species he tested; all tests were conducted in the laboratory. Whether these correlations affected predator-prey interactions in the natural habitats has been left unexplored.

The carnivorous snail, Agaronia propatula Conrad 1849 (Olividae, Caenogastropoda), inhabits sandy beaches of the Central American west coast (Keen 1971). Its predation and feeding behavior, which resembles that reported from other large olivids (Kantor and Tursch 2001; Kantor et al. 2017), has been described in detail (Rupert and Peters 2011; Cyrus et al. 2012, 2015). The animals hunt actively. Prey is grasped with the anterior foot and then secured by the posterior foot or metapodium, which bends ventrally to form a spherical pouch that encloses the prey item (compare Supplementary Video S4). The highly extensible proboscis carrying the mouth opening at its end is inserted into the metapodial pouch for feeding. Analyses of metapodial pouch contents in A. propatula revealed the suspension-feeding snail, Olivella semistriata Gray 1839, of the same family as the dominant prey (Robinson and Peters 2018). Intriguingly, large O. semistriata (maximal shell length is about 2.1 cm; Troost et al. 2012) were missing from the prey spectrum of A. propatula, suggesting that O. semistriata can reach a size refuge from predation. Prey size refugia (Chase 1999) are frequently interpreted as resulting from gape-limited predation, where the size of a predator’s gape or capture apparatus defines maximum prey size (Urban 2007; for a case study involving marine gastropods, see Boulding et al. 2016). While large olivid predators including A. propatula are not gape-limited in the literal sense as they do not swallow their prey whole, the dimensions of their metapodial pouches probably set limits to prey size. Such limits, however, cannot explain the observed absence of large O. semistriata from the prey spectrum of A. propatula, as even the largest O. semistriata are much smaller than some of the bivalves, crustaceans, and conspecifics that were found in the predators’ metapodial pouches (Robinson and Peters 2018). Thus, the mechanism behind the size bias against large O. semistriata is unlikely to be purely mechanical, and may include behavioral factors such as locomotory performance.

When disturbed, crawling O. semistriata temporarily switch to an accelerated, stepping locomotion mode (Seilacher 1959) that is reminiscent of a person sculling a boat (Supplementary Video S2). We hypothesized that flight by “sculling” might help O. semistriata to avoid predation by A. propatula in a size-dependent manner, and tested the idea in the natural habitat.

Materials and Methods

Notes on 57 naturally occurring attacks by Agaronia propatula on Olivella semistriata were collected during field trips (2011−2014 and 2017, but not during the strong El Niño 2015 − 2016) to Playa Grande, Costa Rica (10°20’N, 85°51’W). Twenty observations (35%) were made in the dry season (December−April), 23 (40%) in the rainy season (late May−October), and 14 (25%) during the transition in early May (Supplementary Table S1). Details were recorded immediately at the location in writing; in a few cases, videos of the attacks were recorded using digital cameras. An interaction between A. propatula and O. semistriata was classified as an “attack” if the predator executed at least one strike with its anterior foot at the prey (Figure 1A; compare Cyrus et al. 2012). Attacks were classified as “successful” when A. propatula had stored the prey in the metapodial pouch and started to burrow into the sediment (Figure 1B). After each attack, predator and prey shell lengths (siphonal notch to apex) were measured to the nearest 0.1 mm with calipers or on digital photographs (taken with various standard cameras, Panasonic DMC-FZ30; Sony DSC-H20; Nikon Coolpix AW130) of the animals next to a ruler (ImageJ; https://imagej.nih.gov/ij). The original data is available as Supplementary Table S1.

Figure 1.

Figure 1.

Stages in the predatory attacking behavior of Agaronia propatula critical to our analysis of field observations. (A) Agaronia propatula initiates an attack on Olivella semistriata by executing a fast strike at its victim with the anterior part of the foot. Only when such a strike was executed the interaction was counted as a predatory attack. (B) After successful completion of the attack, the prey is enclosed by the posterior foot, which forms the spherical metapodial pouch, and the predator burrows into the sediment to consume its prey. Only when A. propatula had started to burrow with the prey firmly enclosed in the pouch, the attack was recorded as successful. The shell lengths of the animals shown are 31.1 mm (A. propatula) and 17.2 mm (O. semistriata).

To establish trajectories of linearly moving O. semistriata, digital cameras (Sony DSC-H20) on small tripods were positioned with the sightline perpendicular to the anticipated path. Sculling locomotion was induced by gently touching the shell apex of a crawling animal (Supplementary Video S2). Videos were taken at 30 frames per second and 1280 × 720 pixel resolution, and the position of the shell apex was determined on each frame (ImageJ). Loess smoothing was applied to these data to provide continuous trajectories, and numerical derivation yielded velocity functions (TableCurve 2D; https://systatsoftware.com).

Dependences of the distribution of successful and unsuccessful attacks on predator size, prey size, and the size ratio (Figure 2B−D) were analyzed by Mann–Whitney U-tests online at http://www.vassarstats.net. The correlation between body size (shell length) and the velocity of the escape response (Figure 4C) was described by the geometric mean functional relationship (GMFR; Draper and Smith 1998). The strength of the correlation was quantified by the coefficient of determination (r2) based on Pearson’s correlation coefficient, r.

Figure 2.

Figure 2.

Attacks of Agaronia propatula on Olivella semistriata recorded in the wild. (A) Size relations between prey and predators, given as shell lengths for the observed 38 successful and 19 unsuccessful attacks. Examples presented as Supplementary Videos S3 and S4 are marked. Straight lines mark the size ratios 1.5, 2, 3, and 4 (indicated at upper ends of lines). (B, C, D) The same attacks as in (A) ranked with increasing predator-prey size ratio, prey size, and predator size, respectively. P, probabilities for obtaining distributions at least as strongly skewed as the observed ones in the absence of any real size-dependence (Mann–Whitney U-test, two-tailed).

Figure 4.

Figure 4.

Sculling velocity depends on size in Olivella semistriata. (A, B) Trajectories of nine representative animals of three size classes (large, blue: 18.6, 18.1, 17.8 mm shell length; medium, orange: 12.8, 11.9, 11.8 mm; small, gray: 6.6, 6.4, 5.8 mm), expressed as absolute distances (cm; A) and as relative distances (shell lengths; B). The dependence of velocity on body size during the first 2 s of the response (dark background) was further analysed in a larger sample. (C) Average velocities over the first 2 s after initiation of sculling locomotion, plotted against shell length for 125 individuals. The coefficient of determination (r2) and the geometric mean functional relationship and its equation are shown. (D) As (C), with velocities expressed as shell lengths per second.

Results

We documented 57 attacks of A. propatula on O. semistriata in the wild, of which two-thirds were successful (Table 1). In 48 cases, O. semistriata initiated sculling and escaped in 18 of these attempts (Table 1). Escape attempts by sculling generally succeeded if O. semistriata propelled itself beyond the immediate reach of the attacker within the first 2 s of the initial attack (compare Supplementary Videos S3 and S4). In the remaining nine attacks, no sculling was attempted, mostly because the initial strike was immediately successful and/or the victim was partly embedded in the sediment. In one of these nine attacks, the victim escaped by crawling (Table 1).

Table 1.

Attacks of Agaronia propatula on Olivella semistriata observed in the wild

Prey behavior Attack successful Attack unsuccessful Row total
Sculling locomotion initiated 30 (53%) 18 (31%) 48 (84%)
No sculling locomotion initiated 8 (14%) 1 (2%) 9 (16%)
Column total 38 (67%) 19 (33%) 57 (100%)

The outcome of the observed attacks depended on the size relationship between A. propatula and O. semistriata (Figure 2A). All attacks were successful if the shell length of O. semistriata was <11.8 cm; attacks were always unsuccessful, with one exception, if the shell length was >18.2 cm (Figure 2A; compare Supplementary Table S1). Unsuccessful predation attempts were associated with low predator–prey size ratios (Figure 2B). Both prey and predator size contributed to the effect, but the influence of prey size appeared stronger (Figure 2C and D).

Olivella semistriata usually switched from crawling to sculling locomotion when it was touched posteriorly by an A. propatula (Supplementary Videos S3, S4). This stimulus could be mimicked by gently touching the shell apex of a crawling O. semistriata (Supplementary Video S2), which facilitated quantitative analysis. Sculling locomotion consisted of a series of steps that covered about half the animal’s shell length each within 0.5–0.9 s. Sculling was several times faster than regular crawling, but was never sustained for more than 4–5 s (see representative analysis in Figure 3). When sculling, bigger animals covered longer distances per unit time than smaller ones (Figure 4A). In contrast, trajectories of all snails were similar when distances were expressed as shell lengths (Figure 4B). Evidently, sculling velocity was a function of body size.

Figure 3.

Figure 3.

Locomotion kinematics of Olivella semistriata. The movement of a representative animal of 15.6 mm shell length is shown; phases of regular crawling and sculling locomotion with average velocities are highlighted. Gray circles, position of the shell apex (from a video taken at 30 frames per second); blue line, trajectory (Loess smoothing applied to data); orange line, velocity (derivative of trajectory).

To determine the dependence of sculling velocity on size more precisely, we induced sculling in crawling animals of different sizes that otherwise were undisturbed in their habitat. Because the initial response phase seemed crucial for escape success, we focused on velocities averaged over the first 2 s of sculling locomotion. Averaged initial velocity and shell length were correlated (r2 = 0.58, n =125); velocity increased by about 0.12 cm/s per one-mm increase in shell length (Figure 4C). There was no such correlation when velocity was expressed relative to body size, i.e., as shell length per second (Figure 4D).

Discussion

A key finding emerging from the analysis of predation attempts that occurred in the natural habitat was that large O. semistriata were in fact attacked by A. propatula but mostly escaped (Figure 2). This result provided a sufficient explanation for the fact that large O. semistriata had not been found among the prey cached in metapodial pouches of A. propatula (Robinson and Peters 2018). Consequently, a prey preference executed by the predator is not required to account for the size-bias in the prey spectrum.

As a rule, successfully escaping O. semistriata applied sculling locomotion (Table 1). Sculling velocity averaged over the first 2 s of the flight response rose 6-fold from the smallest to the largest animals tested (Figure 4C). At this time, we lack information about the size-dependence of crawling speed in A. propatula, but peak velocities around 0.9 cm/s have been recorded (Cyrus et al. 2012). This astonishing value is about twice the speed reported for other large predatory olivids, arguably the fastest gastropods (Tursch and Greifeneder 2001). If we accept the simplifying premise that hunting A. propatula regularly reach such velocities regardless of their own size, and further assume that the success of flight depends on O. semistriata’s initial velocity after the induction of sculling, we will be able to draw two inferences from Figure 4C. First, O. semistriata of 12 mm shell length or more will have a significant chance to escape a charging A. propatula. Second, O. semistriata of over 17 mm almost always will outrun their attacker. These predictions, though based on simplifying assumptions, are in excellent agreement with our observations of successful escapes in the field (Figure 2A). There are additional relevant factors, as indicated by the observation of successful predation attempts in which no sculling locomotion was initiated (Table 1). Nonetheless, the size-dependence of sculling velocity is sufficient to explain why the observed attacks of A. propatula on large O. semistriata were largely unsuccessful.

Quantitative assessments of individual flight capabilities in natural environments (such as our tests summarized in Figure 4) are complicated when the animals are forced to trade speed for maneuverability by the structural complexity of three-dimensional terrains (Wheatley et al. 2015), or by the need to outmaneuver predators that cannot be outrun (Clemente and Wilson 2015). These problems are of limited relevance with our study species, for two reasons. First, structural simplicity is a character of our study species’ habitat. Both species burrow into the sediment to rest (Seilacher 1959, Troost et al. 2012), but their predator–prey interactions generally occur on the surface of the beach sediment, essentially a two-dimensional stage. Second, speed and maneuverability certainly are antagonistic factors in animals moving at many body lengths per second (e.g. quadrupeds, fishes, ants; Wilson et al. 2015). In contrast, snails and other small animals moving at fractions of their body lengths per second certainly are too slow, given body masses of a few grams at most, for inertia effects to impair maneuvering abilities.

Prey may grow into size refuges when it becomes too large to be handled by predators (Chase 1999; Urban 2007; Taborsky et al. 2018). For individuals in prey size refuges, active flight behavior might become dispensable. For instance, immature individuals of several aquatic gastropod species execute flight responses when they sense certain predators, but abandon this responsiveness after having reached sizes that exclude them as potential prey of these predators (Hoffman and Weldon 1978; Branch 1979; Alexander and Covich 1991). In contrast, O. semistriata of all sizes attempt to flee by sculling when attacked by A. propatula, but larger individuals exhibit superior locomotory performances (Figure 4C) and thus have an increased chance of escaping successfully (Figure 2). We conclude that it is not size as such that physically prevents predation in O. semistriata. Instead, a parameter correlated with size, sculling velocity, creates a behaviorally mediated size refuge. Olivella semistriata gradually moves into this size refuge as it grows from about 12 mm to 17 mm shell length.

If a prey species shows a pronounced positive correlation between body size and locomotory performance, and if its susceptibility to predation decreases with increasing locomotory performance, predation must be expected to select for faster growth and larger maximum size in this species. Other selection factors, however, may override the effects of predation pressure, and this seems to apply to O. semistriata. The species reaches highly variable sizes at different locations, as indicated by dwarfish populations originally described as a separate taxon, O. attenuata Reeve 1851 (Troost et al. 2012). Maximum sizes of O. semistriata at different Costa-Rican locations did not correlate with local densities of A. propatula and sometimes remained below 12 mm shell length (Troost et al. 2012), the estimated lower limit of the transition into the size refuge (Figure 2A). Evidently, currently unknown factors other than predation by A. propatula exert influence on growth and development in O. semistriata. In this context, we note that a positive correlation of escape success with body size cannot drive selection for larger maximum size in prey that grows into a size refuge before it reaches its size maximum. However, selection for faster growth into the refuge still must be expected. Quantitative analyses of the development of O. semistriata in different populations will clarify whether the species responds to predation pressure by increased growth rates that enable it to reach the size refuge more quickly.

The link(s) between locomotory performance and prey fitness remain obscure (Wilson et al. 2015), mainly because of difficulties in measuring performance in its natural ecological context (Irschick and Garland 2001; Irschick 2003) and insufficient information on the effects of individual variability (Nakazawa 2017). We addressed both problems using a molluscan predator–prey relationship, which provided a useful model system due to the accessibility and simple structure of the habitat. The present study may be the first to quantitatively characterize the causal chain leading from the size-dependence of individual performance (Figure 4), over the success rate of actual predation attempts (Figure 2), to the size bias in the predator’s prey spectrum (Robinson and Peters 2018), based entirely on information collected in the natural habitat.

Supplementary Material

zoz022_Supplementary_Data

Acknowledgments

We thank students Molly Miller, Natalie Millspaw, Samantha Rupert, Danielle Stevenson, and Jennifer Swiggs for contributing field observations of predation events. Work at Playa Grande was conducted under research permits ACT-OR-D-015 and ACT-OR-DR-064 (Ministerio de Ambiente y Energia, Costa Rica).

References

  1. Alexander JE, Covich AP, 1991. Predation risk and avoidance behavior in two freshwater snails. Biol Bull 180:387–393. [DOI] [PubMed] [Google Scholar]
  2. Ansell AD, 1969. Defensive adaptations to predation in the Mollusca. Proc Mar Biol Assoc India, Symp Ser 2:487–512. [Google Scholar]
  3. Branch GM, 1979. Aggression by limpets against invertebrate predators. Anim Behav 27:408–410. [Google Scholar]
  4. Boulding EG, Rivas MJ, González-Lavín N, Rolán-Alvarez E, Galindo J, 2016. Size selection by a gape-limited predator of a marine snail: insights into magic traits for speciation. Ecol Evol 7:674–688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Chase JM, 1999. Food web effects of prey size refugia: variable interactions and alternative stable equilibria. Am Nat 154:559–570. [DOI] [PubMed] [Google Scholar]
  6. Clemente CJ, Wilson RS, 2015. Balancing biomechanical constraints: optimal escape speeds when there is a trade-off between speed and maneuverability. Integr Compar Biol 55:1188–1197. [DOI] [PubMed] [Google Scholar]
  7. Cyrus AZ, Rupert SD, Silva AS, Graf M, Rappaport JC. et al. 2012. The behavioural and sensory ecology of Agaronia propatula (Caenogastropoda: Olividae), a swash-surfing predator on sandy beaches of the panamic faunal province. J Mollusc Stud 78:235–245. [Google Scholar]
  8. Cyrus AZ, Swiggs J, Santidrian Tomillo P, Paladino FV. et al. 2015. Cannibalism causes size-dependent predation pressure but does not trigger autotomy in the intertidal gastropod Agaronia propatula. J Mollusc Stud 81:388–396. [Google Scholar]
  9. De Roos AM, Persson L, 2013. Population and Community Ecology of Ontogenetic Development (Monographs in Population Biology 51 ).Princeton: Princeton University Press. [Google Scholar]
  10. Draper NR, Smith H, 1998. Applied Regression Analysis. New York: John Wiley and Sons. [Google Scholar]
  11. Fishlyn DA, Phillips DW, 1980. Chemical camouflaging and behavioral defenses against a predatory seastar by three species of gastropods from the surfgrass Phyllospadix community. Biol Bull 158:34–48. [Google Scholar]
  12. Garrity SD, Levings SC, 1981. A predator-prey interaction between two physically and biologically constrained tropical rocky shore gastropods: direct, indirect and community effects. Ecol Monogr 51:267–286. [Google Scholar]
  13. Hadlock RP, 1980. Alarm response of the intertidal snail Littorina littorea (L.) to predation by the crab Carcinus maenas (L.). Biol Bull 159:269–279. [Google Scholar]
  14. Hoffman DL, Weldon PJ, 1978. Flight responses of two intertidal gastropods (Prosobranchia: Trochidae) to sympatric predatory gastropods from Barbados. Veliger 20:361–366. [Google Scholar]
  15. Irschick DJ, 2003. Measuring performance in nature: implications for studies of fitness within populations. Integr Compar Biol 43:396–407. [DOI] [PubMed] [Google Scholar]
  16. Irschick DJ, Garland T, 2001. Integrating function and ecology in studies of adaptation: investigations of locomotor capacity as a model system. Annu Rev Ecol Syst 32:367–396. [Google Scholar]
  17. Keen AM, 1971. Sea Shells of Tropical West America, 2nd edn.Stanford: Stanford University Press. [Google Scholar]
  18. Kantor YI, Fedosov AE, Puillandre N, Bonillo C, Bouchet P, 2017. Returning to the roots: morphology, molecular phylogeny and classification of the Olivoidea (Gastropoda: Neogastropoda). Zool J Linn Soc 180:493–541. [Google Scholar]
  19. Kantor YI, Tursch B, 2001. Feeding. In: Tursch B, Greifeneder D, editors. Oliva Shells. The Genus Oliva and the Species Problem. Ancona: L’informatore Piceno; 209–216. [Google Scholar]
  20. Moore TY, Biewener AA, 2015. Outrun or outmaneuver: predator-prey interactions as a model system for integrating biomechanical studies in a broader ecological and evolutionary context. Integr. Compar Biol 55:1188–1197. [DOI] [PubMed] [Google Scholar]
  21. Nakazawa T, 2017. Individual interaction data are required in community ecology: a conceptual review of the predator-prey mass ratio and more. Ecol Res 32:5–12. [Google Scholar]
  22. Robinson NJ, Peters WS, 2018. Complexity of the prey spectrum of Agaronia propatula (Caenogastropoda: Olividae), a dominant predator in sandy beach ecosystems of Pacific Central America. PeerJ 6:e4714.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Robles C, Desharnais R, 2002. History and current development of a paradigm of predation in rocky intertidal communities. Ecology 83:1521–1536. [Google Scholar]
  24. Rupert SD, Peters WS, 2011. Autotomy of the posterior foot in Agaronia (Caenogastropoda: Olividae) occurs in animals that are fully withdrawn into their shells. J Mollusc Stud 77:437–440. [Google Scholar]
  25. Schmitt RJ, 1981. Contrasting anti-predator defenses of sympatric marine gastropods (family Trochidae). J Exp Mar Biol Ecol 54:251–263. [Google Scholar]
  26. Seilacher A, 1959. Schnecken im Brandungssand. Natur und Volk 89:359–366. [Google Scholar]
  27. Taborsky B, Heino M, Dieckmann U, 2018. Life-history multistability caused by size-dependent mortality. Am Nat 192:62–71. [DOI] [PubMed] [Google Scholar]
  28. Troost AI, Rupert SD, Cyrus AZ, Paladino FV, Dattilo BF. et al. 2012. What can we learn from confusing Olivella columellaris and O. semistriata (Olivellidae, Gastropoda), two key species in panamic sandy beach ecosystems? Biota Neotropica 12:101–113. [Google Scholar]
  29. Tursch B, Greifeneder D, 2001. Oliva Shells: The Genus Oliva and the Species Problem. Ancona: L’informatore Piceno. [Google Scholar]
  30. Urban MC, 2007. The growth-predation risk trade-off under a growing gape-limited predation threat. Ecology 88:2587–2597. [DOI] [PubMed] [Google Scholar]
  31. Webb PW, 1986. Locomotion and predator-prey relationships In: Feder ME, Lauder GV, editors. Predator-Prey Relationships. Chicago: University of Chicago Press; 24–41. [Google Scholar]
  32. Wheatley R, Angilletta MJ, Niehaus AC, Wilson RS, 2015. How fast should an animal run when escaping? An optimality model based on the trade-off between speed and accuracy. Integr Compar Biol 55:1166–1175. [DOI] [PubMed] [Google Scholar]
  33. Wilson RS, Husak JF, Halsey LG, Clemente CJ, 2015. Predicting the movement speeds of animals in natural environments. Integr Compar Biol 55:1125–1141. [DOI] [PubMed] [Google Scholar]
  34. Wolf M, Weissing FJ, 2012. Animal personalities: consequences for ecology and evolution. Trends Ecol Evol 27:452–461. [DOI] [PubMed] [Google Scholar]

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Supplementary Materials

zoz022_Supplementary_Data

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