Behavioral Ecology Vol. 9 No. 4: 360-366 Presampling sensory information and prey density assessment by wolf spiders (Araneae, Lycosidae) Matthew H. Persons and George W. Uetz Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 45221-0006, USA Decisions regarding foraging patch residence time and the assessment of patch quality may be mediated by various sources of information. This study examined the use of sensory cues by hunting spiders to assess prey density in the absence of prey capture. Adult female wolf spiders [Schixocosa ocmeata (Hentz); Lycosidae] had food withheld for 4 days and then were exposed to artificial foraging patches containing four densities of crickets (0, 3,10, 20) with different sensory stimuli (visual and vibratory information, visual only, and vibratory only). The spiders were not allowed to feed during trials, and patch residence time was recorded. The spiders varied patch residence time based on sensory cues alone and spent more time in patches with higher prey density. With visual information only, spiders could apparently distinguish among prey densities almost as well as with visual and vibratory cues combined, but residence time did not differ among prey densities when only vibratory information was presented. Measurements of vibration levels produced by cricket activity under experimental sensory treatments conform to test results, suggesting that visual detection of crickets is important in patch assessment used in determining patch residence time. Key words: patch quality, prey density, residence time, Schixocosa ocreata, sensory information, wolf spiders. [Behav Ecol 9:360- 366 (1998)] H ow animals assess foraging patch quality and determine how long to remain in a patch before leaving has been of considerable interest in foraging theory (Charnov, 1976; Cook and Hubbard, 1977; Iwasa et al., 1981; Oaten, 1977; Pyke, 1984). Many species of sit-and-wait predators remain longer in patches where encounters with prey are more frequent (Janetos, 1982; Turnbull, 1964; Zhang and Sanderson, 1993), but the proximate mechanisms mediating the decision to leave or stay needs further investigation because the type and accuracy of information used to make foraging decisions may affect predictions of patch residence time and patch choice (Morse, 1989). For predators, each stage of the predation process constitutes a b«tter estimator of prey and patch quality. Endler (1991) outlined six stages of predation: encounter, detection, identification, approach, subjugation, and consumption. Various forms of information are gathered at different stages of this process, including search time, prey density, subjugation and handling costs, prey palatabiHty, and energy value. The majority of empirical and theoretical foraging studies have largely emphasized the foraging decisions of animals as a result of cumulative information gathered through the last stages of predation (subjugation and consumption). However, animals may make foraging decisions with less information, particularly if the time costs associated with increased accuracy outweigh the value of the information. Sources of information used in assessing foraging patches have been largely divided into two types: presampling and sampling information. Although most sources of sampling information include some measure of prey capture rate per unit time (Stephens and Krebs, 1986), individuals may also estimate patch quality before exploitation. Presampling inforAddress correspondence to M. H. Persons, who is now at the Department of Zoology, Miami Univenitjr, Oxford, OH 45056, USA. EmaiL personmhftmuohio.edu. Received 14 February 1997; first revision 19 August 1997; second revision 9 December 1997; accepted 22 December 1997. O 1998 International Society for Behavioral Ecology mation includes sensory cues, memory of patch location and quality from previous patch sampling,, or information on the relative distribution of resources within patch subtypes (Bayesian foraging) (Valone, 1991). Foragers that use sensory cues or memory in predicting patch quality in spatially or temporally variable environments are known as prescient foragers (Valone arid Brown, 1989). Several mechanisms for the assessment of patch quality via sampling have been suggested, and most fall under one of several categories suggested by Formanowicz and Bradley (1987): (1) prey capture rates or intercapture interval (Charnov, 1976); (2) gut fullness or other postingestion feedback mechanisms (DeBenedictis et al., 1978; Johnson et aL, 1975; Nakamura, 1968; Provenzaand Cincotta, 1993; Schuler, 1990); and (3) encounter rate with prey (Hughes, 1979; Pulliam, 1974). The type of sampling information used to make foraging decisions may significantly affect predictions of patch residence time or other foraging decisions. Other empirical and theoretical foraging studies have examined the use of presampling sources of information including public information (Iivoreil and Giraldeau, 1997; Templeton and Giraldeau, 1995), prior patch experience (Valone, 1992), or the interaction of sampling and presampling information (Bayesian foraging) (Iwasa et aL, 1981; Mangel and Clark, 1983; McNamara and Houston, 1980, 1982, 1987; Oaten, 1977), but few studies have examined the use of sensory information specifically (Cordon and Bell, 1991; Marden, 1984; Morse, 1989). The majority of empirical treatments of information use, residence time, and patch assessment have used avian models (Krebs et aL, 1974, 1978; Nishimura, 1991a,b; Nishimura and Abe, 1988; Pyke, 1978b; Templeton and Giraldeau, 1995; Valone, 1991; Wolf and Hainsworth, 198*t ZasfeandEsuls, 1976) or Hymenoptera (Heinrich, 1979, 1983; Hodges, 1981; Pyke. 1978a, 1980), both of wnieh have been found to use prior patch experience under some circumstances. Wolf spiders (Schixocosa ocrtata) have not been demonstrated to base residence times in food patches on prior feeding experience (Persons and Uetz, 1997b) or prior sensory infor- Persons and Ueti • Prey density assessment by wolf spiders mation (Persons and Uetz, 1996a), and have been found to move randomly between patches that differ in the presence of prey (Persons and Uetz, 1996a). Studies show that wolf spider patch residence decisions may be based on the intensity of current sensory stimuli without using prey capture, feeding information, or prior patch experience. Although sensory cues alone may be of central importance in determining residence time, almost no study has separated this mechanism explicitly from energy gain. If an animal uses sensory assessment rather than energy gain to make residence time decisions, it should vary its patch time with different numbers of food items in a patch, even if no feeding occurs. In previous studies, we demonstrated that wolf spiders vary their patch residence time based on different types of sensory information in the absence of feeding (Persons and Uetz, 1996a,b). Sensory cues from prey result in longer foraging patch residence time for 5. ocrtata than when prey are captured in a patch (Persons and Uetz, 1997b). Studies have also found prefeeding cues to be important determinants of choosing foraging sites among orb weaving spiders (Pasquet et al., 1994) funnel-web spiders (Riechert, 1985), and crab spiders (Morse, 1993), indicating that sensory cues may serve as a better predictor of foraging behavior than feeding among other spiders as well. Further, patch residence time in spiders may be determined more by prey perception than the more commonly assumed feeding rates or prior patch experience that have been studied in birds. We examined the influence of two sensory channels, visual and vibratory, in the absence of feeding, on patch residence time of S. ocreata under different prey densities. METHODS Study species Schizocosa ocreata (Araneae, Lycosidae), like most wolf spiders, is a mobile adt-and-wait forager with frequent changes in foraging site (Cady, 1984; Ford, 1978) and does not build webs to snare prey. These ground-dwelling arthropods are found in complex leaf litter of deciduous forests in the eastern United States. Their foraging behavior has been studied largely within the context of distribution and population dynamics (Cady, 1984; Wise, 1993; Wise and Wagner, 1992). Some wolf spiders locate and attack prey using both substratum-coupled vibrations and visual cues (lizotte and Rovner, 1988; Persons and Uetz, 1996a), but the threshold level of different types of sensory stimuli necessary to elicit an increase in residence time is unknown. Under natural conditions, these spiders frequently are presented with only visual or vibratory cues from prey. Prey vibrations may be transmitted only the distance of a single leaf (Scheffer et. a]., 1996), but spiders are able to perceive prey visually at greater distances (T. Valerius and J. Renneker, personal communication). Spiders may also be located on the opposite side of the same leaf that a potential prey item occupies, where it can detect vibrations from its movement but cannot see the prey. Spider collection and twi We caught 28 immature female S. ocrtata in April 1993 at the r.inHnnari Nature Center, Qermont County, Ohio, USA. Each spider was housed in its own opaque container, provided water ad libitum, and fed three 1-week-old cricket nymphs every 4 days to standardize hunger level for testing. We kept all spiders under identical controlled conditions at room temperature (23-25°C) in an environment with stable humidity and a 12:12 h lightdark photoperiod. The spiders were allowed to mature before being subjected to experiments. 361 Experimental protocol We conducted three experiments. The first experiment tested if spiders modified their patch residence time in the presence of increasing density of prey without prey consumption or capture but with both visual and vibratory information. The second and third experiments tested if spiders altered their patch residence time when visual or vibratory information alone was present to determine if sensory channels were used differentially or if the spider's accuracy to perceive differences in density varied. Thus, each spider was presented with four density treatments (0, 3, 10, 20 crickets) and diree sensory treatments (visual and vibratory information, visual information alone, and vibratory alone) in a fully crossed (non-nested) design. We analyzed each experiment separately. The experimental apparatus controlled for visual and vibratory cues used in prey detection (Figure 1). The test apparatus for the first experiment (visual and vibratory information) consisted of four containers made of white foam-core board. Each container housed two round chambers 20 cm in diameter with transparent 0.08-mm acetate walls. One chamber served as a neutral chamber into which the spider was introduced, and the other chamber contained cricket stimuli (sensory chamber). In the sensory chamber, behind each acetate wall, crickets were introduced at four prey densities: 0, 3, 10, and 20. We randomly assigned each spider to a container and tested it under all four density levels. For the second experiment, only visual information was presented to the spider. This treatment had the cricket enclosure mounted on a separate foam-core block from that of the spider so that vibrations could not be transmitted to the substratum that the spider occupied. The third experiment presented only vibratory information, as the acetate wall separating the spider and crickets was covered with an opaque paper barrier. An experimental trial consisted of a single spider introduced into the neutral (no cricket stimuli) chamber under a clear plastic vial. Before testing, spiders were maintained on three crickets every 4 days. All spiders tested were used after having prey witheld for 4 days and were therefore under similar hunger levels. After a 5-min acclimation period, the vial was removed and the spider was allowed to enter and exit the single sensory chamber freely for 30 min. We videotaped each trial from above and determined duration and number of chamber visits by analyzing the videotape. Clean white paper was placed on die floor of each chamber of the apparatus before each trial. The chambers were also swabbed with dean, dry cotton between trials to remove any silk draglines from previous spiders that might affect subsequent foraging behavior. We tested each spider under each density treatment and all three types of sensory stimuli. Statistical methods and analysis Many spiders fail to move into a sensory chamber at all during an entire trial. Others do not visit all density treatment sensory chambers at least twice, which is required for an ANOVA analysis of individual variation and interactions with prey density effects (because there is no replication within the individual factors). Therefore, for statistical reasons, we decided a priori to analyze only residence times of spiders that visited each density treatment and sensory treatment at least four times. This produced a more balanced data set for ease of interpreting statistical results (Shaw and Mitchell-Olds, 1993). The last visit into a sensory chamber was omitted from analysis if the spider was in the chamber when the trial time expired because including it would underestimate the true patch residence time. Only IS of the 28 spiders tested matched all analysis criteria, and although it may have biased the data set Behavioral Ecology Vol. 9 No. 4 362 Figure 1 The artificial foraging environment used for spider testing. Spiders are placed in the "neutral" chamber before each experiment (spider* shown in stimulus chambers) and allowed to move freely between the two chambers after a 5-min acclimation period. Using cricket nymphs as stimuli, each pair of chambers differs in the density treatments presented to the spider. From left, the treatments are no crickets, 3, 10, and 20 crickets. Figure represents visual and vibratory stimuli presented. Other sensory treatments include visual stimuli only and vibratory stimuli only. toward more mobile spiders, this procedure did allow more reliable interpretation of the analysis of variance. For each experiment, we used a fully crossed, mixed-model two-way ANOVA to analyze the variation in duration of patch visits. Each of the three experiments was analyzed separately. Patch residence time was natural log transformed to conform to ANOVA assumptions of normality. The primary parameter, patch residence time, was tested using individual (random effects) and density (fixed effects) as categorical variables. The F ratio for prey density effect was constructed with the interaction term mean squares in the denominator (Zar, 1984) for the appropriate F ratio for a mixed model. We used a mixedmodel ANOVA in this analysis because it is more conservative than a repeated-measures analysis and accurately accounts for individual spiders as a random effect (see Bennington and Thayne, 1994). All computations were performed with a mainframe version of SAS software (version 6.07). Differences among individual spiders are likely to occur and may affect inferences that may be drawn about patch assessment abilities of individuals when treating them as groups. This design overcomes this problem (Martin and Kraemer, 1987). We used repeated visits of individual spiders as replicates for the individual factor. Repeated visits by an individual spider have been tested statistically for independence in previous studies of patch residence using an identical or similar test apparatus (Persons and Uetz, 1996a, 1997a,b). Spiders have shown no evidence that prior experience biases their residence time (Persons and Uetz, 1996a, 1997a,b), and lengths of sequential visits to the same patch are not correlated (Persons and Uetz, 1996a, 1997a, b). Thus, sequential visits by spiders to a particular aeatmont wexe used as replicates for the individual spider factor as a measure of individual variation. Despite the apparent independence of sequential visits into a chamber by an individual spider, use of sequential visits may be construed as pseudoreplication (Hurlbcrt, 1984). To avoid this problem, we conducted two other analyses of the data. Individual variation was collapsed to a mean value for each of the 13 spiders and a one-way ANOVA was done for each of the sensory experiments (vibratory only, visual only, visual and vibratory together). A Tukey post-hoc comparison of means analysis determined differences in density treatments within each experiment. To examine more closely an individual spider's ability to perceive differences in patch quality, we conducted one-way ANOVAs for each individual spider to determine significant differences in residence time for each density treatment in the presence of visual and vibratory cues from prey. Vibration testing Vibration levels were expected to increase with cricket density. Vibration levels for each sensory and density treatment were measured in decibels using a Bruel and Kjaer accelerometer (type 4366) high-sensitivity vibration pickup, loaded to a Bruel and Kjaer sound level meter (type 2203). Dedbel level was measured every 15 s for 30 measurements under each experimental treatment. We placed the accelerometer along the edge of each chamber nearest the crickets because most spiders had a strong tendency to move along die edges of the chambers. A one-way ANOVA was performed and a Tukey post-hoc comparison of means test was used to distinguish between all sensory and density treatments for the stimulus and neutral chambers. We compared 24 chambers: 3 sensory treatments with 4 density treatments each, and 2 chambers (neutral and stimulus) for each density. RESULTS Patch residence times of spiders varied significantly with prey density aad type of sensory information (Figure 2). When both visual and vibratory information were presented to the spider, significant density effects were found (.Fj,» = 18.34, p =• .0001) as well as significant variation among individual spiders (F a u 7 - 5.57, p - .0001; Table 1). Using individual spiders as die level of replication and a mean value of residence time for each density treatment, spiders spent signifi* Persons and Uetz • Prey density assessment by wolf spiders BOO 500 400 300 200 100 Figure Z Patch residence times by sensory treatment and density (mean SE) per adult female spider (n => 13). candy more time in higher density patches (F^^ = 2.874, p = .0001). A Tukey post-hoc analysis of means found significant (a = 0.05) differences between 0 prey and 3 prey and between 10 and 20 crickets, but not between 3 and 10 prey (Figure 2). When visual information alone was present, the results were similar to those found when visual and vibratory information were present together. Significant density (F^ x = 7.37, p = .002) and individual (Flit lia = 9.98, p = .0001) effects were found. The ANOVA analysis of individual means across density treatments also found a significant density effect (FSM = 10.49, p = .0001). A Tukey post-hoc comparison of means showed significant differences between 20 prey and 3 or less prey, but 3 prey and 10 were not significantly different from each other, nor were 10 and 20 prey significantly different from each other. Vibratory information presented alone did not produce any significant density effects ( f j j , = 0.308) on patch residence time, but individual variation was still significant (Flt,iM » 13.07, p = .001). Individual means across density treatments also were not significantly different with vibratory information alone (Fxv ™ .12, p = .95). Individual spiders with access to visual and vibratory cues varied considerably in their relation of residence time to increasing prey density (Table 1), but the overall trend was for increasing residence time with increasing prey density. Seven of the 13 spiders increased residence time with cricket number; but 3 showed mean residence times for the control treatment that were not the lowest of all treatment groups. Only 6 of 13 spiders showed significant differences (a = 0.05) in residence time among density treatments in the presence of visual and vibratory cues from prey. Although vibratory information was not significant in modifying residence time, vibration levels should be related directly to cricket movement, which has been shown to be a strong stimulus in prey detection in wolf spiders (Rovner, 1991) and a factor in residence-time decisions in conjunction with other stimuli Vibration levels conformed to expected density and sensory treatments, with significant vibration differences between treatments (FBet6 = 112.30, p = .0000; Figure 3). A Tukey post-hoc comparison indicated that vibrations in the neutral chambers were not significantly different from each other or from background noise. The experiment using both visual and vibratory stimuli together found significant increases in vibration level with cricket density. Similar results were found when only vibratory stimuli were presented. As expected, in chambers with visual cues only, no detectable difference in vibrations between density treatments nor between stimulus chambers and neutral chambers were found. DISCUSSION The results show that spiders modify their patch residence time in response to changes in visual, but not vibratory, cues with increasing prey density. These findings are consistent with previous studies demonstrating that visual rather than vibratory cues influence patch residence time when prey density is held constant (Persons and Uetz, 1996a). Even at high prey density, vibratory cues alone apparently are not used to Table 1 Mean (±SE) reridence times (•) of individual spiden for each prey density treatment in die presence of visual and vibratory cues Prey density (no. of crickets) Spider 0 3 10 20 F P I 2 3 4 5 6 7 8 9 10 11 12 13 121 2t 26 37 2: 15 58 2i 17 51 2: 11 65 2: 3 0 88 2l: 12* 43 d: 2 67 2: 12 4 8 2 : 19* 77 21 11* 52 2:8* 40 2:8* 46 2: 5* 159 :t 43 192 2t 129 5 9 : t 20 6 4 : t 25 6 6 2 1 16 8 3 : t 12* 7 4 : !: 22 112 :t 18 4 6 : 1 8* 90 :1 31* 7 4 : 1 16* 65 :I 36* 59 :i 14* 379 :t 133 8 8 : t 30 176 :!: 28 179 :i 47 4 9 2 :21 139 :iff 9 4 : i 53 293 2i 135 271 :i 42" 2 1 3 :139* 139:t 73* 1%:tiSf 582: 9 * 370 :1 114 ill :158 212 :t 81 3 3 2 : £ 151 55 :'.8 187:t 49" 2 0 8 : i 67 527 :I: 407 1 6 9 :• 8 8 " 889 :H459* 226 :1 38" 36421 147" 177 2: 42" 2.61 0.80 3.15 2.63 0.23 3.48 2.69 1.34 4.74 7.69 3.46 3.72 7.22 .10 .52 .06 .10 £7 .05 .09 .31 .02 .04 .05 .04 .01 F ratios and p values based on one-way ANOVAs for individual spiders. Superscripted letters indicate fignifjr?m differences between density treatments based on a Tukey post hoc comparison of means test Identical letters indicate no significant difference between those treatments. Behavioral Ecology Vol. 9 No. 4 564 Vibratory Only 3 10 20 Visual and Vibratory m "3 "o ao 46 45 44 43 42 41 40 39 38 37 36 20 Visual Only 46 45 44 43 42 41 40 39 38 37 36 a 10 a a 20 Prey density Figure 3 Vibration levels generated by crickets at various densities in each of three different apparatuses providing different sensory wimuli Means with different letters are significantly different at p < .05; n => 30 for each experimental treatment. assess patch quality. This suggests that not all sensory channels are used equally in determining residence time, resulting in different patch times based on the source of information. However, the difference in residence time due to combinations of Visual and vibratory cues rather than visual cues alone suggests that various sensory channels may interact in complex ways in the assessment of patch quality. Other studies have found that residence time may differ based on chemical cues from prey as well (Persons and Uetz, 1996b). Given that most predators use multiple sensory channels to detect prey, and the importance of these channels may change with environmental heterogeneity, this is an important consideration in understandings proximate mechanisms of patch foraging decisions. Environmental constraints on transmission of various types of sensory information may partially explain these results. Schixocosa ocreata inhabits complex, loose leaf litter where vibrations from prey attenuate rapidly, often being conducted no farther than the distance of a single leaf (Scheffer et aL, 1996). This represents a smaller area within which to perceive prey and could result in selection for using visual cues while foraging. Using visual cues instead of vibrations would allow for a larger perceptual "patch" in which to forage and consequently less frequent movement between patches and greater foraging efficiency (Bye et al., 1992; Rice, 1983). Many studies have examined different types of presampling or prescient foraging information (Nishimura, 1991a,b; Valone, 1992; Valone and Brown, 1989; Valone and Giraldeau, 1993) in assessing patch quality, but all of these use prior experience as a parameter or assume that patches with static patch quality may have been estimated by the forager from prior patch experience. Present sensory information may be an even more important source of information than prior experience for many animals. Wolf spiders rely heavily on present sensory information rather than on any other type of presampling information. Schizocosa ocreata move randomly between patches that differ in sensory information or that differ in the presence of prey (Persons and Uetz, 1996a). They also do not base residence time on previous patch sensory experience (Persons and Uetz, 1996a), previous prey attack (Persons and Uetz, 1997a) or feeding (Persons and Uetz, 1997b), suggesting that bayesian foraging is unlikely in wolf spiders and that patch quality assessment and residence time decisions are based primarily on present sensory information rather than any other source. Nishimura (1994) modeled decision makfng in a sit-andwait predator when the forager finds one of three possible patch states: finding no prey, finding prey without attacking (analogous to the conditions in this study), and rinding prey and attacking (prey capture). Nishimura predicts that when a forager moves between patches without learning or memory and chooses patches at random, it bases its decision to stay on the long-term probabilities of the patch containing no prey, one prey, or two prey. Under diis condition, the experience of finding prey without attacking does not contribute to exploitation efficiency, and the forager should treat all patches the same. Wolf spiders uphold the assumptions of this model. They experience no difference in energy gain among prey density treatments, have been found to move randomly between patches (Persons and Uetz, 1996a), and appear not to use prior sensory experience to modify residence time, yet they vary residence times using sensory cues of prey density. This suggests thatforagingpatch decisions with some animals need not employ memory, sampling information, or Bayesian means of assessment to determine patch quality and that the most parsimonious source of information, present sensory information, may be the one weighted most heavily. Wolf spiders detect prey primarily through visual detection of movement (Rovner, 1991, 1993). As such, the probability of detecting prey in a patch may be directly related to the probability of any prey moving while the spider remains in a patch. Therefore, even in a simple environment, cricket movement patterns may be sufficient to generate uncertainty about pateb quality, and prey encounter may be considered a Poisson process. If prey detection is based on prey movemest, spiders do not have complete knowledge of patch quality. Using video images of prey, previous studies completed with S. ocreata fixed die proportion of time a prey item spent moving in a foraging patch and therefore removed this source of stochasticity, and found that S. ocreata wolf spiders use a fixed 365 Persons and Uetz • Prey density assessment by wolf spiders probability of leaving a patch that is influenced by both visual detection of cricket movement and stochasticity inherent in the decision rule (i.e., not all variation in residence time is accounted for by stochasticity in prey movement) (Persons and Uetz, 1997a). It is important to note that in this study, even 25 sequential visits into a patch with a standardized amount of cricket movement (using a video-generated cricket) failed to modify the behavior of the spider (Persons and Uetz, 1997b). This also emphasizes the lack of importance of prior sensory experience in a patch. However, lunging at prey without feeding does significantly modify wolf spider residence time (Persons and Uetz, 1997a). This may simply reflect that crickets may not be detected on every patch visit Studies on residence time in crab spiders found that they also exhibit a fixed probability of leaving a patch even though this does not result in optimal prey encounter (Kareiva et aL, 1989). Kareiva et aL suggest that this is due to extreme stochasticity in prey encounter. Morse (1993) later found that crab spider decisions regarding patch choices may be modified by distance cues radier than by prey capture directly. Chamov's marginal value theorem (Charnov, 1976) assumes a continuous and deterministic gain function that accelerates negatively over time in a patch, and the decision to leave is partially contingent on the gain function for alternative patches. The energetic gain for patches in this study is zero, and residence time is largely determined by the probability of detection of prey movement, which is likely to be a linear function of residence time. Differences in vibration levels across density treatments reflect linear increases in cricket movement and therefore increases in the probability of detecting prey for any given patch visit The spiders had a choice with regard to the patch: remain in the presence of sensory stimuli or leave for another patch void of sensory cues. The two patches are mutually exclusive with respect to sensory stimuli, but identical with respect to energy gain. To determine if sensory cues function in an analogous way to energy gain with respect to the marginal value theorem would require alternative patches being offered with greater or lesser degrees of sensory stimuli radier than an empty neutral patch. The threshold of response for spider detection of prey vibrations may be higher than that for any foraging patch used for this study. However, spiders in patches with vibratory information alone were occasionally observed lunging at the acetate screen when a cricket was walking nearby. This strongly suggests diat the vibration levels were sufficient for prey detection but were not used to determine residence time. This laboratory study demonstrates diat spiders are at least capable of responding to differences in prey density even if prey capture success is minimal for a particular site. It also demonstrates diat a postingestion feedback mechanism is not necessary to explain foraging time at a particular site and that sensory information should be considered more strongly in proximate and theoretical studies of residence time decisions. This research was supported in part by funds from the National Science Foundation through grant IBN-94142S9 (support for G.U.), the Department of Biological Sciences, the Arachnological Research Fund of the University of Cincinnati, and a University of Cincinnati Research Council Fellowship. Portions of this research were submitted in partial fulfillment of the requirements for M5. and Ph.D. degrees in Biological Sciences at the University of Cincinnati. We are grateful to B. C Jayne for «t3p«rirai advice and technical criticism. We thank D. Wise, A. Cady, J. Shann, and two anonymous reviewers for their helpful comments on this manuscript. We acknowledge the people of the Cincinnati Nature Center for their willingness to provide a collecting site for Schizocosa ocrtala. Additional thanks go to W. Mcdiniock, A. DeLay, K. Cook, D. Kroeger, and A. McCrate for their advice and assistance with spider husbandry. REFERENCES Bennington CC, Thayne WV, 1994. Use and misuse of mixed model analysis of variance in ecological studies. Ecology 75:717-722. Bye FN, Jacobsen BV, Sonerud GA, 1992. Auditory prey location in a pause-travel predator search height, search time, and attack range of Tengmalm's owls (AtgoHusfurunus). Behav Ecol 3:266-276. Cady AB, 1984. Microhabiat selection and locomotor activity of Scfazoeosa ocrtata (Walckenaer) (Araneae: Lycosidae). J Arachnol 11: 297-307. Charnov EL, 1976. Optimal foraging, the marginal value theorem. Theor Popul Biol 9:129-136. Cordon D, Bell WJ, 1991. The use of visual information by house-flies, Musca domtstita (Diptera, Muscidae), foraging in resource patches. J Comp Physiol A 168:365-371. Cook RM, Hubbard SF, 1977. Adaptive searching strategies in insect parasites. J Anim Ecol 46:115-126. DeBenedictis PA. Gill FB, Hainsworth RR, Pyke GH, Wolf LL, 1978. Optimal meal size in hummingbirds. Am Nat 112:301-316. EndlerJA, 1991. Interactions between predators and prey. In: Behavioural ecology: an evolutionary approach, 3rd ed (Krebs JR, Davies NB eds). Oxford: Blackwell Scientific Publications; 169-196. Ford MJ, 1978. Locomotory activity and the predation strategy of the wolf spider Pardosa amentata (Qerck) (Lycosidae). Anim Behav 26: 31-35. Formanowicz DR, Bradley PJ, 1987. Fluctuations in prey density: effects on the foraging tactics of scolopendrid centipedes. Anim Behav 35:453-461. Heinrich B, 1979. Resource heterogeneity and patterns of movement in foraging bumblebees. Oecologia 40:235-245. Heinrich B, 1983. Do bumblebees forage optimally, and does it matter? Am Zool 23:273-281. Hodges CM, 1981. Optimal foraging in bumblebees—hunting by expectation. Anim Behav 29:1166-1171. Hughes RN, 1979. Optimal diets under the energy maximization premise: die effects of recognition time and learning. Am Nat 113: 209-221. Hurlbert SH, 1984. Pseudoreplication and the design of ecological field experiments. Ecol Monogr 54:187-211. Iwasa Y, Higashi M, Yanamura N, 1981. Prey distribution as a factor determining die choice of optimal foraging strategy. Am Nat 117: 710-723. Janetos AC, 1982. Foraging tactics of two guilds of web-spinning spiders. Behav Ecol Sociobiol 10:19-27. Johnson DM, Akre BG, Crowley PH, 1975. Modeling arthropod predation: wasteful killing by damselfly naiads. Ecology 56:1081-1093. Kareiva P, Morse.DH, Ecdeston J, 1989. Stochastic prey arrivals and crab spider residence times: simulations of spider performance using two simple 'rules of thumb.' Oecologia 78:547-549. Krebs JR, Ryan J C Charnov EL, 1974. Hunting by expectation or optimal foraging? A study of patch use by chickadees. Anim Behav 22553-964. Krebs JR. Kacelnik A, Taylor P, 1978. Test of optimal sampling by foraging great tits. Nature 275:27-31. Livoreil B, Giraldeau L-A, 1997. Patch departure decisions by spice finches foraging singly or in groups. Anim Behav 54.-967-9T7. Lizoue RS, Rovner JS, 1988. Nocturnal capture of fireflies by tycosid spiders: visual versus vibratory stimuli. Anim Behav 36:1809-1815. Mangel M, Clark CW, 1983. Uncertainty, search and information in fisheries. J Intern Council Explor Seas 41:93-103. Marden JH, 1984. Remote perception of floral nectar by bumblebees. Oecologia 64:232-240. Martin P, Kraemer HC, 1987. Individual differences in behaviour and their statistical consequences. 35:1366-1375. McNamaraJM, Houston AI, 1980. The application of statistical decision theory to animal behavior. J Theor Biol 85: 673-690. McNamaraJM, Houston AI, 1982. Optimal patch use in a stochastic environment. Theor Popul Biol 21:269-288. McNamara JM, Houston AI, 1987. Memory and the efficient use of information. J Theor Biol 125:385-395. Morse DH, 1989. Cues associated with patch-choice decisions by foraging crab spiders Misumena vatia. Behaviour 107:297-312. Morse DH, 1993. Choosing hunting sites with little information: patch-choice responses of crab spiders to distant cues. Behav Ecol 4:61-65. S66 Nakamura K, 1968. The ingestion in wolf spiders. I. capacity of gut of Lycosa pstudoatmulata. Ret Popul Ecol 10:45-53. Niihimura K, 1991a. Optimal patch residence time of a sit-and-wait forager. Bchav Ecol 2:283-294. NUhimura K, 1991b. Utilization of different prey type patches in the Ural owl (Strix urairruis): a sit-and-wait predator. Behav Ecol 2:99105. Nishimura K, 1994. Decision making of a sit-and-wait forager in an uncertain environment: learning and memory load. Am Nat 143: 656-676. Nishimura K, Abe TM, 1988. Prey susceptibilities, prey utilization and variable attack efficiencies of Ural owls. Oecologia 77:414-422. Oaten A, 1977. Optimal foraging in patches: a case for uochastitiry. Theor Popul Biol 12:263-285. Pasquet A, Ridwan A, LeBorgne R, 1994. Presence of potential prey affects web-building in an orb-weaving spider Zyguila x-notata. Anim Behav 47:477-480. Persons MH, Uetz GW, 1996a. The influence of sensory information on die patch residence time in wolf spiders (Araneae: Lycosidae). Anim Behav 51:1285-1293. Persons MH, Uetz GW, 1996b. Wolf spiders vary patch residence time in the presence of chemical cues from prey (Araneae, Lycosidae). J Arachnol 24:76-79, Persons MH, Uetz GW, 1997a. The effect of prey movement and attack behavior on the patch residence decision rules of wolf spiders (Araneae: Lycosidae). J Insect Behav 10:737-751. Persons MH, Uetz GW, 1997b. Residence time decisions in wolf spiders: is perceiving prey as important as eating prey? Ecoscience 4: 1^5. Provenza FD, Qncotta RP, 1993. Foraging as a self-organizational learning process: accepting adaptability at the expense of predictability. In: Diet selection: an interdisciplinary approach to foraging behaviour (Hughes RN, ed). Oxford: Blackwell Scientific Publications; 78-101. Pulliam HR, 1974. On the dieory of optimal diets. Am Nat 108:597.4. Pyke GH, 1978a. Optimal foraging in bumblebees and coevolution with their plants. Oecologia 36:281-293. Pyke GH, 1978b. Optimal foraging in hummingbirds: testing the marginal value theorem. Am Zool 18:739-52. Pyke GH, 1980. Optimal foraging in bumblebees: calculation of net rate of energy intake and optimal patch choice. Theor Popul Biol 17:232-246. Pyke GH, 1984. Optimal foraging theory: a critical review. Annu Rev Ecol Syst 15:523-575. Rice WR, 1983. Sensory modality: an example of its effect on optimal foraging behavior. Ecology 64:403-406. Riechert SE, 1985. Decisions in multiple goal contexts: habitat selec- Behavioral Ecology Vol. 9 No. 4 tion of the spider, AgtUnopsis aperta (Gertsch). Z Tierpsychol 70: 53-69. Rovner JS, 1991. Evidence for idiothetically controlled turns and extraocular photoreception in tycosid spiders. J Arachnol 19:169-173. Rovner JS, 1993. Visually mediated responses in the lycosid spider Rabidosa rabidcc the roles of different pairs of eyes. Mem Queensland Mus 55*35-638. Scheffer SJ, Uetz GW, Stranon GE, 1996. Sexual selection, male morphology, and the efficacy of courtship signalling in two wolf spiders (Araneae: Lycosidae). Behav Ecol Sociobiol 38:17-23. Schuler W, 1990. Are rules of thumb sufficient for the starling's choice of food according to gain in energy? In: Behavioural mechanisms of food selection (Hughes RN, ed). New York: Springer; 127-142. Shaw R, Mitcheu-Olds T, 1993. ANOVA for unbalanced data; an overview. Ecology 74:1638-1645. Stephens DW, Krebs KR, 1986. Foraging theory. Princeton, New Jersey: Princeton University Press. Templeton JJ, Giraldeau L-A, 1995. Patch assessment in foraging flocks of European starlings: evidence for die use of public information. Behav Ecol 6:65-72. Turn bull AL, 1964. The search for prey by a web-building spider, Achatararua upidariorum (CL. Koch) (Araneae: Theridiidae). Can Entomol 96-368-579. Valone TJ, 1991. Bayesian and prescient assessment: foraging with preharvest information. Anim Behav 41:569-577. Valone TJ, 1992. Information for patch assessment: a field investigation with black-chinned hummingbirds. Behav Ecol 3:211-221. Valone TJ, Brown JS, 1989. Measuring patch assessment abilities of desert granivores. Ecology 70:1800-1810. Valone TJ, Giraldeau L-A, 1993. Patch estimation by group foragers: what information is used? Anim Behav 45:721-728. Wise DH, 1993. Spiders in ecological webs. New York; Cambridge University Press. Wise DH, Wagner JD, 1992. Exploitative competition for prey among young stages of the wolf spider Schaocosa ocrtata. Oecologia 91:713. Wolf LL, Hainswordi FR, 1983. Economics of foraging strategies in sunbirds and hummingbirds. In: Behavioral Eenergetics: the cost of survival in vertebrates (Aspey WP, Lustick SI, eds). Columbus: Ohio State University Press. Zach R, Falls JB, 1976. Do ovenbirds (Aves: Parulidae) hunt by expectation? Can J Zool 54:1894-1903. Zar JH, 1984. Biostatistical analysis, 2nd ed. Englewood Cliffs, New Jersey: Prentice-Hall; 470-476. Zhang Z-Q, Sanderson JP, 1993. Behavioral responses to prey density by three acarine predator species with different degrees of polyphagy. Oecologia 96:147-156.
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