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Interindividual Variation in Prey Selection by the Snail Nucella (= Thais) Emarginata Author(s): Lani West Source: Ecology, Vol. 67, No. 3 (Jun., 1986), pp. 798-809 Published by: Ecological Society of America Stable URL: http://www.jstor.org/stable/1937702 Accessed: 29/03/2010 18:51 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at http://www.jstor.org/action/showPublisher?publisherCode=esa. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Ecological Society of America is collaborating with JSTOR to digitize, preserve and extend access to Ecology. http://www.jstor.org Ecology, 67(3), 1986, pp. 798-809 ? 1986 by the Ecological Society of America INTERINDIVIDUAL VARIATION IN PREY SELECTION BY THE SNAIL NUCELLA (= THAIS) EMARGINATA' LANI WEST HopkinsMarine Station of Stanford University,PacificGrove,California93950 USA Abstract. Variation in diet among individuals of a population of carnivorous marine snails in a rocky intertidal environment of central California was analyzed. Nucella emarginata drills and eats barnacles, mussels, and limpets. Out of 128 marked snails, 104 were observed through two or more feeding attacks in the field during the 4-mo study. Fifty-one of these snails were observed through five or more sequential feeding attacks. Three major points are illustrated. (1) Within each study site, individuals close to the same size often chose strikingly different diets. (2) There was a range of dietary specialization and generalization among individuals foraging in the same habitat. Individuals showed a high degree of consistency in their diets. While the population of N. emarginata attacked seven prey species at site A and four prey species at site B, no individual snail observed in this study ate more than three species of prey. (3) Food choices made by each individual were not a simple reflection of the relative abundance of the surrounding prey species or the differences in microhabitat prey distribution that each predator encountered. These conclusions remained the same for several different methods of measuring prey availability. I suggest that Nucella emarginata diet patterns have a variety of causes, which may include ingestive conditioning, learning, and genetic variability. Key words: conditioning;feeding experience;foraging;intertidalzone; intrapopulationvariability; learning;Nucella emarginata;predator-preyinteractions;prey selection;variationin diets. INTRODUCTION Although individual differences between members of the same population have long been recognized, most ecologists exploring the interactions of populations evaluate pooled data on large numbers of organisms. Traditionally, niche theory (Hutchinson 1959, MacArthur 1968), studies of community structure and dynamics (Whittaker 1965, Connell 1975, Menge and Sutherland 1976), and optimal foraging theory (Emlen 1966, Pyke 1984) have not dealt with variability among individuals in a population or habitat. On the other hand, some ecologists (see Heinrich 1976, 1979, Werner et al. 1981) study population characteristics and interactions by noting variability between individual population members, since changes within populations are due to selection acting on interindividual differences. Intrapopulation variation has been considered by geneticists (Dobzhansky et al. 1977, Wright 1978, Coulthart et al. 1984), behaviorists (Krebs 1970, Curio 1976), and population biologists interested in resource use (Hassell and Southwood 1978, Tabashnik et al. 1981, Jaenike and Grimaldi 1983). Van Valen (1965) explored morphological variation in bird populations and proposed that birds living in patchy environments will show interindividual variation in feeding activities and associated morphology. Grant (1971) in his studies of bird tarsae, expanded this idea by pointing out that a population can be made up of members that "differ in their modes of exploitation, being either specialists or generalists" or "individuals that are similar (pro1 Manuscriptreceived 9 October 1984; revised 16 March 1985; accepted 1 April 1985. vided variances are small) and are all generalists." Roughgarden (1972, 1979) treated some of these ideas theoretically when modeling components of niche width. He suggests that a population's degree of interindividual specialization is dependent on competition and on productivity in the population's surroundings. As yet there are not enough empirical studies of interindividual variability to evaluate these ideas. The only way to distinguish between a population of generalists and a population of specialists arrayed along a resource spectrum is to examine individuals. Studies of individuals are also relevant to optimal foraging theory (Krebs 1978, Hughes 1980, Pyke 1984). Foraging behavior is usually viewed from the perspective of the average individual of the population or species, but knowledge of interindividual variability may be essential for the construction of realistic foraging models. Hughes (1979) incorporated recognition times, probability of prey misidentification, and learning into a traditional optimal foraging model, and predicted that when a predator learns to handle certain prey more efficiently, that prey's position in the predator's preference hierarchy may change. Prey recognition, handling, and other aspects of foraging that involve learning are traits that can be influenced by genetic characteristics of the individual and the microhabitat the predator lives in. Thus these traits are likely to vary among individuals. The goal of this study was to examine in detail the feeding behavior of individuals in a population of marine snails. The study animal, Nucella (=Thais) emarginata, is a rocky intertidal carnivore that feeds on a variety of barnacles, mussels, and limpets. This snail and other members of its genus have been shown to PREY SELECTION BY INDIVIDUAL SNAILS June 1986 TABLE 799 1. Densities of carnivorous snails summarized from daily (98 d) counts of individuals on the study surfaces at low tide. Snail density (no./M2) Site B* Site A* Species Mean Range SD Mean 6.71 1.36 1.21-5.32 4.55 Nucella emarginata 0.88 0.47 0-0.78 0.67 Acanthina punctulata 0 0.52 0-0.50 0.55 Acanthina spirata 0.26 0 Ocenebra circumtexta * Total surface area of study sites is 14. 10 m2 for site A and 18.13 m2 for site B. be important predators in rocky coastal areas of Great Britain (Connell 1961, Morgan 1972), New England (Menge 1978a, b) and the northeast Pacific (Connell 1970, Dayton 1971, Spight 1974, Palmer 1983). The present study (1) documents foods selected by marked individual predators surrounded by the same array of prey species, (2) analyzes the degree of consistency within individuals' diets over time, and (3) examines the relationship between the diet of an individual snail and the relative availability of its prey, using a variety of methods to measure prey availability. The results indicate that individual snails are choosing different diets from the same array of prey species in their natural environment. Furthermore, the choices made by each individual do not simply reflect the relative abundance of the surrounding prey species or differences in prey distribution within the microhabitats that the predator encounters. This study was not a test of optimal foraging theory. However, as discussed above, its results are relevant to the assumptions made by that theory in its simplest forms. STUDY SITES AND BIOTA This study was carried out in Pacific Grove, California (36?36' N, 121l54' W). Study sites were the eastern shore of Mussel Point (site A), and rocks adjacent to Point Alones (site B), both of which are on the property of Hopkins Marine Station of Stanford University. Study sites were examined during each period of lower low water between 26 January and 18 May 1978. The study sites are inhabited by Nucella emarginata and three other species of carnivorous snails (Table 1). Of those species, Nucella emarginata occurred in the highest densities at both study sites. Prey species eaten at the two sites were the barnacles Chthamalus spp., Balanus glandula, and Tetraclita rubescens, and the limpets Collisella scabra and C. rimatula. Two species of prey found at site A, the barnacle Pollicipes polymerus and the mussel Mytilus californianus, were absent at site B. Common sessile or slowmoving animals that occur at both sites but were not eaten by Nucella emarginata were the gastropods Littorina scutulata, Tegula funebralis, Littorina planaxis, and Collisella digitalis; the chiton Mopalia muscosa; the tube-dwelling polychaetes Dodecaceriafewkesi and Range SD 0.39-9.21 0.06-2.59 2.64 0.78 0-0.83 0.27 Phragmatopoma californica; and the sea anemone Anthopleura elegantissima. All study site surfaces were in the upper part of the middle intertidal zone in a region of protected outer coast (Ricketts and Calvin 1968). Site A consists of an irregular projection of granitic rock, surrounded by sand and directly in the path of incoming waves. Site B is less exposed, shielded from direct surf by offshore rocks, and is characterized by tightly wedged granitic boulders. In addition to the animals listed above and in Table 1, the erect algae Endocladia muricata and Gigartina papillata, the encrusting red alga Hildenbrandia occidentalis, and a film of microscopic red and green algae are common at both sites. A more detailed description of the intertidal areas surrounding Hopkins Marine Station can be found in Glynn (1965). Information on the natural history of Nucella emarginata is supplied in Abbott and Haderlie (1980). METHODS Activity and the process of predation by N. emarginata were observed in the field. After selecting its prey, Nucella normally drills through the shell, inserts its proboscis, and rasps out the soft body parts with the radula. Observations made at both low and high tides indicate that the snails are most active when submerged; they remain relatively inactive after exposure to air at low tide. If an animal is feeding at the time of a receding tide, it continues to grip its prey while exposed to air. The predator's proboscis is usually not extended into the prey during low tide, but the snail remains in the feeding position until it is submerged again. Snails remained with the same individual prey from hours to days, depending on the size and species of the prey. Approximate feeding times presented in this paper (Table 2) were determined by field observation once per day. The subject of biases due to different handling times of prey and daily observation techniques will be discussed below (see Results). Every effort was made to observe the snails and their prey with minimal disturbance. When it was necessary to tilt a snail gently away from the substrate to detect prey, snails rarely lost their foothold or moved away. Where activities were difficult to observe, a small hand mirror was used to view beneath the animal or inside TABLE Ecology, Vol. 67, No. 3 LANI WEST 800 2. Sizes and consumption times of prey species eaten by Nucella emarginataon the study site surfaces. Site A Time (d) Prey size (mm) Species Chthamalusspp. basal diameter Balanusglandulabasal diameter Pollicipespolymerusrostrum-carina length Tetraclitarubescensbasal diameter Collisellascabrashell length Collisellalimatula shell length Mytiluscalifornianusshell length X SD Range N* X SD 2.90 3.80 9.95 17.75 7.80 8.50 17.43 0.68 1.91 5.19 6.51 2.50 3.12 10.00 2.0-5.0 2.5-9.0 4.0-16.5 10.0-24.0 5.0-10.5 6.0-12.0 5.0-33.5 26 124 50 12 24 3 56 1 1.12 1.41 1.33 1 1.05 3.32 0 0.399 0.874 0.577 0 0.242 3.99 Ranget <1-1 <1-3 <1-4 <1-3 <1-1 <1-2 <1-8 * Numbers of prey eaten (N) include observations from unmarked snails that fed within the study site. t Range values preceded by the symbol < indicate that some snails finished eating within one tide cycle. crevices. When an individual snail was found clinging to potential prey, the presence of a partially or completely drilled bore hole through the shell of the prey was considered indicative of active predation. Sometimes prey were consumed without showing evidence of boring marks. These occasions were infrequent, but the act of predation was substantiated by observation of partially digested prey tissue and/or the characteristic way N. emarginata grip their prey (encircling the prey individual with the anterior portion of the foot and locating the buccal mass on top of the opercular plates of a barnacle or between the valves of a mussel). The movements and feeding activities of individually marked snails were followed to obtain a record of their diets in relation to food availability. Since N. emarginata ranged through the upper middle intertidal zone, it was possible to make daily observations, missing only those lower low water periods when the surf was exceptionally high (N = 6 out of a total of 104 observation periods). Study sites were carefully mapped to scale to show topography and locations of sessile species. Within each site, N. emarginata were individually marked in place. Quick-setting epoxy was used to glue numbered canvas tags (W. H. Brady Company, Milwaukee, Wisconsin, Wire Marker Tags) to the snail shell. At times when a simpler (but short-term) marking technique was necessary, colored wax crayons provided satisfactory identification of individuals. Shell length of all marked snails (from apex to siphonal canal tip) was measured with vernier calipers to the nearest 0.5 mm. Snails were measured at the beginning and end of the study, but only beginning sizes are reported in this paper because maximum growth in shell length was <2 mm. The position of the snail, its feeding activity, the nature and size of its food (if any), and the prevailing environmental conditions (time, degree of sunlight, rain or fog, general surf conditions) were recorded on photocopied maps of the study site. The precise location of each marked snail was determined at each observation by measuring its position with respect to two established landmarks on the study surface. Snail movement paths were estimated by con- nesting successively mapped positions of an individual with straight lines that followed the major contours of the substrate surface. The measurement of prey availability In prey selection studies in nature it is important to compare the diet of an individual predator to the relative availability (accessibility) of the various prey species surrounding it. However, it is difficult to define and to measure the specific factors that determine the accessibility of the prey item to that predator. An ideal measure of availability, based on the actual number of potential prey of each species encountered by a predator before feeding occurred, would require continuous monitoring of the movements of the predator. This was not feasible. Two alternative methods of measuring availability are described below. Only prey individuals within the size range of prey observed to be eaten during the study were counted (Table 2). First, estimates were made of the percentage of the rock surface covered by potential prey species of Nucella emarginata, either on the whole rock surface or some subdivision of that surface. Percentage cover of each prey species was determined from photographic slides taken at 2-wk intervals throughout the study. Each slide portrays a square metre of study site surface. These photographic slides were viewed under a dissection microscope to resolve species >2 mm in size. One hundred random points were superimposed on each slide. All points falling on potential prey, on open rock, crustose algae, diatoms or on prey smaller than the size range observed to be eaten were tabulated. Second, estimates were made of the number of potential prey of each prey species present either on the whole rock surface or on some selected subdivision of that surface. These measures were made in two ways. (1) Ten randomly positioned, 100-cm2 quadrats were placed over each approximate square metre of study site surface. At site A, 14 m2 were monitored; at site B, 18 M2. All potential prey individuals were counted within the quadrats in the field. From these data I estimated densities of each prey species. These measures were made once, 2 mo after the study began, and Site B Time (d) Prey size (mm) X SD 3.20 5.53 0.72 2.08 . . . 4.12 4.50 . 801 PREY SELECTION BY INDIVIDUAL SNAILS June 1986 Range N* X SD Ranget 3.0-6.5 2.0-12.0 13 269 1 1.09 0 0.324 < 1-1 < 1-4 . . . . 4.0-20.5 2.0-8.0 0.83 3.12 . . . . . . . . . 1.37 1 0.807 0.008 < 1-4 < 1-2 . . . 51 4 same length as the observed diet sequence were calculated. Those probabilities that were less than or equal to that of the observed diet studied were added to the probability of the observed diet. This calculation yields the probability of obtaining the observed diet and all possible diets equally or more specialized, taking into account the availability of the prey species. These probability values are conservative because they account only for the number of prey species in the diet, not the order in which those prey species occur. RESULTS do not take into account seasonal changes in availability. (2) Transect lines (2 cm wide, the approximate width of a snail's foot), along the estimated snail movement paths described above were superimposed on a photograph of that area. The photograph was taken within a week of the time of feeding observations. Counts of individuals of each prey species were then made from the photograph. Counts of the two barnacle species Chthamalus dalli and Chthamalusfissus were combined as Chthamalus spp., because it is difficult to distinguish these two species without dissecting the animal. In all counts from photographic slides I combined Balanus glandula and Chthamalus spp. into one group because they frequently could not be distinguished in the photographs. Limpets were the only mobile prey eaten in the study. Collisella scabra individuals each have a specific home site on the rock, and photographs repeated at 2-wk intervals seldom showed differences in their low tide positions. Collisella limatula, on the other hand, does not home; however, individuals were usually near their previous positions. Probability calculations The probability of a given snail eating the observed diet, assuming that it ate prey species according to their relative abundance, was calculated by computer using the multinomial distribution (Feller 1968). ki!k2! ... kr! PIP2P 3 . . . Pr where: n represents the total number of observed feeding attacks made by one snail. kid'sare the number of times the snail fed on prey species i. pi(i = 1, . . , r) represents the relative abundance of i, where PI+ . . . + Pr = 1. I used the density values for i (see The Measurement of Prey Availability) instead of the percentage cover values, because they were larger and more conservative when used in this test. For each observed diet the probabilities of all the other possible combinations of prey in sequences the prey species The data suggest that prey selection by the N. emarginata population does not simply reflect the relative abundance of those prey species in the environment (Fig. 1). Seven prey species (barnacles, limpets, and mussels) were eaten at site A; four prey species (barnacles and limpets) were eaten at site B (Fig. 1). Balanus, Pollicipes, Mytilus, and Tetraclita were actively selected from among other prey species available in the habitat. Collisella species were taken either in proportion to their abundance or taken in smaller numbers than would be suggested by their abundance. Chthamalus species were always taken in low numbers compared to their abundance in the environment. Different attack techniques were used for each prey species eaten. The barnacles Balanus, Chthamalus, and Tetraclita were drilled between the paired tergal plates or between the paired scutal plates. None ofthese species of barnacles were ever observed to be drilled at the location between a tergal and scutal plate. Similarly, Palmer (1982) found more northern N. emarginata to drill through the opercular plates of B. glandula and Semibalanus cariosus. In my study it appeared that the snail "prised" open the plates without drilling in a few cases, as reported by Dunkin and Hughes (1984) for N. /apillus feeding on Semibalanus balanoides. In contrast, the remaining species of barnacle, Pollicipes, was drilled laterally between the rostral and scutal plates in every attack. Nucella ate the limpets Collisella scabra and C. /imatula without drilling or drilled at the margin of the shell to form a small nick, extending the proboscis under the shell margin, or sometimes flipping the limpet to expose the foot. Though N. emarginata show drill site specificity on most prey, Mytilus californianus eaten by N. emarginata were not examined for drill site specificity because the snails could rarely attain surface access to all parts of the mussel shell. Mytilus californianus commonly occur in dense clumps with members of their own species and mixed with Pollicipes. Mussels were also sometimes embedded in the surrounding tubes of the polychaete Phragmatopoma. Thus accessibility of the mussel surface to the snail will bias the patterns in drill site position on mussels. The population of N. emarginata is relatively generalized in overall diet but consists of individuals with varying degrees of specialization. Out of 128 marked Ecology, Vol. 67, No. 3 LANI WEST 802 RELATIVE ABUNDANCE OF PREY RANDOM SITE A ChthOmo/us spp. Ba/onus q/ondu/o Col//se//a scabrG Pol//cipes polymers Co/I/se//o limotulo Myti/us ca//fornianus Tetrac/l/a rubescens 2 2 I SITE B 100 Chthamo/us spp. Ba/onus q/andu/a 58 Tetroc/ifa rubescens scatra Co/I/se//a //ma1u/a OTHER SPECIES SPECIES SMALLERTHAN EATEN ROCK/CRUSTOSE ALGAE/DIATOMS 8 17 . 19 4 r--- '0 OF FEEDING ATTACKS 9 3 AKDSAL UNMARKED 0 0 50 , 32 a 1 I 100 142 6 6 1 3 I 24 gNUMBER 9 13 ALGAE/DIATOMS OF PREY CHANGED TO % 0 0 50 8 10 6 OTHERSPECIES 24ALLERTHANEAT?N SPECIES SMALLER THAN EATEN Cal//se//a DIET NUMBERS NUMERICALCOUNT %= 100 50 7;1 OTHERSPECIES ROCK/CRUSTOSE E POINT% 51 59 50 . - 5 100 . 4 80 ._ 15 9 7 , 0 4 2 27 - NUMBER OF FEEDING ATTACKS LF:. MARKED SNAILS UNMARKED FIG. 1. Summary of 632 observed feeding attacks by all Nucella emarginata. - - - percentage cover estimates from 100 random points/m2. snails, 104 were observed through two or more feeding attacks in the field during the 4-mo study. Feeding sequences for the 51 snails observed through five or more sequential feeding attacks (Table 3) illustrate two major points. 1) Within each study site and between individuals close to the same size, the diets chosen by some individuals differ markedly (Table 3). For example, in the first two diet sequences presented in Table 3, snail 61 ate only barnacles (3 spp.), and snail 51 ate only molluscs (3 spp.); in the 3rd and 4th sequences snails 52 and 60 ate both barnacles and molluscs but in different proportions. At site B, individuals predominantly ate barnacles, yet some individuals ate more of one barnacle species than another. For example, snail 6 ate at least three species of barnacles: Balanus glandula, Chthamalus spp., and Tetraclita rubescens, while snail 49 ate only the one species, a diet consisting entirely of Balanus glandula. 2) Individual snails showed a high degree of consistency in their diets. Populations of N. emarginata at sites A and B attacked seven and four prey species, respectively, but no individual snail observed in the entire study ate >three prey species (Table 3). Moreover, of the individual predators at site A, 6 snails ate three prey species, 11 snails ate two prey species, and 3 snails ate only one prey species. At site B, 5 snails ate three species, 14 snails ate two species, and 12 snails ate one species. At site A, 2 out of 20 snails (51 and 26) ate only molluscs, 8 fed only on barnacles (61, 11, 72, 53, 20, 66, 49, and 24) and 10 fed on both barnacles and molluscs (52, 60, 27, 14, 4, 65, 21, 7, 18, and 69). All of the snails at site B ate only species of barnacles (though some limpets were eaten by individual N. emarginata with < 5 observed feeding attacks). The apparent specialization by individuals on dif- 3112 25 337 densities of prey changed to percentages, ferent prey could simply be shaped by a patchy distribution of prey and predator. However, this did not cause the patterns observed in my study. Approximate routes of each marked snail indicate that a variety of potential prey was encountered between successive tides (Fig. 2). Routes of snails 66, 52, 51, and 26 are representative of the maps I have for all individuals. While the lines do not show the exact routes traveled (snails may wander in a complex way when submerged), they summarize a snail's movement over rock surfaces. The maps show that sequential attacks on the same prey species are not simply artifacts of feeding through a prey patch consisting of a single species. Two individuals fed on the same surface area but chose different prey species (Fig. 2A, B). Other examples of individuals choosing different prey from the same surface are listed in Table 4. Snail 51 consistently fed mostly on limpets even when it moved across different rock surfaces (Fig. 2C). Similarly, snail 26 (Fig. 2D) always fed on mussels, despite moving over different rock surfaces. To test more carefully the hypothesis that individual snails are not choosing prey simply in response to the numbers of prey each individual contacts, I carried out the following analysis. In some feeding sequences a predator attacked the same species of prey several times in succession, then changed to a different prey species for another series of attacks (see individuals 61, 27, 65, 21 in Table 3A; individuals 6, 2, 39, 52, 21, 47, 29 in Table 3B). To test whether changes in individual diets were correlated with changes in availability of prey, I examined the sections of each dietary sequence in Table 3 that had no missing observations. From these sections I examined the cases where diet changed from one species to another. In such instances, the degree of change in the availability of the two prey species was examined preceding each attack. The degrees of change June 1986 PREY SELECTION BY INDIVIDUAL SNAILS in the availability of the selected pairs of prey species are plotted in Figs. 3 and 4. Availability was estimated from both percentage cover and the 2-cm transect counts. No consistent changes in patterns of abundance of prey species accompany changes in diets, using either measure of relative abundance. If changes in diet correspond to changes in availability of prey, one would expect to find a large number of points located in the "decreasing PREY I; increasing PREY II" quadrant of Figs. 3 and 4. One would also expect the "increasing PREY I; decreasing PREY II" quadrant to be without points. In the transect analyses (Fig. 3) points are scattered across the quadrants, suggesting that changes in relative abundance of prey do not precede changes in diet. In the percentage cover method of determining relative abundance (Fig. 4), 10 out of 16 points fell on the origin at site A and 19 out of 23 points fell on the origin at site B, indicating that in most cases where diet changed, percentage cover values of prey did not change. Changes in abundance of one prey species are not significantly correlated with changes in the other species (P > .05, Olmstead and Tukey's corner test for association, Conover 1971). It appears that changes in relative abundance of prey do not precede changes in diet. How likely is it that the diet observed for each individual is obtained by random foraging through available prey? The probability of getting a diet consisting of the observed numbers of individuals of each prey species was calculated incorporating the relative abundance of prey available in the study areas (see Methods). Probabilities presented in Table 3 include not only the probability of the observed diet, but also the sum of the probabilities of diets more or equally specialized in comparison to the observed diet. These probability values are conservative because they account only for the number of prey species in the diet, not the order in which those prey species occur. All but one diet (snail 7) at site A and four diets (snails 23, 21, 61, 40) at site B have probabilities of <.05. Hence it is very unlikely that the observed patterns of species eaten by individuals are simply an artifact of sampling from the available prey. Finally, is it possible that the differences observed in this study are a consequence of sampling at low tide? Fairweather and Underwood (1 98 3) point out that when continuous processes can only be observed intermittently, the investigator's observations are biased towards the activities that are longer in duration. For feeding studies, when handling times differ between species of prey, the prey that require long handling times are more likely to be observed. In my study, handling times are indeed different for different species of prey. The length of time Nucella emarginata remains with its prey is related to the size and species of the prey animal (Table 2). Chthamalus spp. and Collisella scabra were eaten most quickly while snails remained for the longest time periods with mussels, Mytilus californianus. This indicates that I probably missed some 803 small prey consumed completely at high tide. Yet this problem cannot explain differences between individual diets, because prey requiring short handling times, such as barnacles and limpets, do show up frequently in the diets. The diet sequences of prey requiring longer handling times, such as mussels, could conceivably be missing barnacles eaten at high tide (snails 51 and 52, site A), but I still maintain that individuals do not eat similar diets. It would be very unlikely that within long sequences of barnacles or limpets the individual would have eaten mussels at high tide and not remained with a mussel into the following low tide (snails 61, 11, 7, 53, 18, 20, 66, 49, and 24, site A). Intermittent sampling could bias the diet data toward interindividual differences if some individuals eat certain prey species only when they are submerged and eat other species when exposed. While I recognize this possibility, it seems clear that individual N. emarginata are not all foraging in the same manner. DISCUSSION Observations of serial feeding episodes made by individual Nucella emarginata indicate that members of a population may choose different diets from the same natural array of prey species in their environment. Feeding observations also show that within many individuals' diets, prey choice is consistent, at least over time periods <3.5 mo. Relative abundance and accessibility of prey may shape the diets of predators (Murdoch and Oaten 1975, Hassell and Southwood 1978, Krebs 1978). However, this study demonstrates that differences between individual snail diets are not necessarily linked to the relative abundance of prey that an individual contacts as it moves across rock surfaces. Hughes and Dunkin (1 984b) also report that diet preferences of Nucella lapillus in laboratory choice experiments were not changed by short-term fluctuations in relative abundance of prey species. In Washington State Palmer (1984) found that Nucella emarginata and two other species, N. canaliculata and N. lamellosa, did not simply eat whatever potential prey they happened across, nor did snails choose prey in proportion to the relative abundance found in their surroundings. Sequential feeding attacks on one prey species when other prey are available have been reported for a wide range of animals (Werner et al. 1981, Bayliss 1982, Hall et al. 1982, and references therein). Several interrelated factors may contribute to sequential feeding: experience in handling prey, ingestive conditioning, and physiological factors. Experience may help predators find and handle prey more efficiently as they eat more and more of the same prey (Heinrich 1976, 1979, Laverty 1980, Werner et al. 1981, and references therein). Feeding experience increases both feeding rate and prey preference in carnivorous snails, Polinices duplicates (Edwards and Huebner 1977) and Nucella lapillus (Dunkin and TABLE Ecology, Vol. 67, No. 3 LANI WEST 804 3. Sequential feeding attacks made by individual snails at sites A and B. Nucella Code Size no.t (mm)0 Elapsed days following first observation of feeding 40 20 Sequence of prey eaten, site A* - - - - - - - - - P - - I - - PP 61 23.5 B ' B - - - - - - - S - - - - - I- - - - - - - 51 29.0 S - - - - - - ' ' ' - - - - - - - Pp - - - - - 52 24.5 P - - - - - - - - - - - - - - - - - - 60 27.0 P-''''''' - - - - B - C - - - - - '' -B 11 24.0 B - - - - - - - - ' M- - - M - - ' P- - - - Pp - P- 27 24.0Mmm-M' ''''''''-M -M26 24.5 Mmmmm - - 'M - - - - - -' - - - - - - - - - - - - - - - - - ' 14 26.0 Mm m - - - - - - - - - - - I I I 4 26.0 Mm- - - - - - - - - - - - - ' '-' ' ' - - - - - - - - - I I - - - Mmmm ' . . M - - - ' - - - - P .' 65 25.5 M- - -''''''' - - - ' '-P -B B' 72 26.0 T ' ' ' - - - - - - - - - - MM - -B -B21 27.5 P - P - - ' B --C -B - -B - - - - 7 25.5 C' ' -'' - ' S (3) [6] - - - - - - - - - - - - - - - - ''''' 53 24.5 B' - -- - S P - 18 26.0 S P p pp ' ' ' ' ' '-'- - - - - Mmmmm 69 27.5 P -- '''B (2)[5] - - - - ' - - C 20 23.0 B - -- - B b - - -B- - 'B- - - - - - -''''''''''''''''66 25.0 B 49 25.5 B B - - - - - - - - - - B ' ' - - - - -- T - - - - - - - ' B (2)[5] 24 23.5 B '' '' ' --BC - ' - ' B - - - - - - - - - - - - - - - - - B - Total = 20 individuals with ?5 feeding occurrences A. - P l - - - B - B - S - - L - - - - - - - -' ' ' --Pp -Mm- Pppp - - BBB - - - - - - - - - - - - - - - I - - ' .-' . - . . ' ' ' ' -. - . . B - S - - - T - -M- P- P' ' ' ' ' ' . . -- - -- B. (3)[6] . . . - B - B - - - Bb -Bb (2) [5] ' ' Mm - P - B B - - B - - ' - (1)[5] (2) [5] B. Sequence of prey eaten, site Bt - - -'' ' ' ' - - - -B -B6 26.5 C - - - - - - ' - T t T B - B - - - -B T - - -BbBB' - B - - - - B - - B - - - - - - - - - - B - - - - - - - B'' - 49 25.5 B - - Bb 'B - - - -- -T ' Bb-B ----B 18 29.0 T t t - - B - - - B- - - T t t - - ----C- - Bb- B - - - - - - - - 70 27.5 B - - - - - - B-B- B -' - - - - - - Bb - - T - - -- -'B --- - -Bb' ''''''- - C - - B 26 24.5 T - - B '-' - - - - B - Bb b b ' B - - - -B''' -- - - - - - - - T t t - - - - - ' ' - - - - - - 2 25.0 T t t t - - T ' --T' - - - - - - - - - - B ' - - - - - - - - - 43 27.0 T - - T - - - - B b T - - - B ' - - - - - - - - BT - - - - - - - - - - - - - - - - - B - B B - - - ' ' ' ' ' ' ' ' ' 5 24.0 T- - - - - - - - - - - B ' B - - - - B - - - - ' - - B- - - - - B - - - - - - - - - - Bb - - - -B - - - - - - B B 54 27.0 B '' ''' ' ' - - - - B - - - B 67 26.0 B--B - - 'B B BBB' (1)[9] 12 26.5 B B B - - - - B- B B ' B b b - - - - - - - - B - B (1)[9] 39 28.0 T - - - - - - - ' - - B b - - - ' BT - - T - - - - T - - ' - B - - - - - - ' - - - - - - - - - - - B 4 30.0 B - - - B - - ' - - - B - - Bb - - B - - - - - - - - - - - - - - - - B - - - - - - - - B - - - - 'B - B 60 24.0 Bb b - - - - - - - - ' - - - - - - - - - - - - - - - B- B b - '- - - - -Bb-B55 28.0 B - - - - - - B- B- - - - - B - - B ' ' B - ' ' ' B (1)[7] - - - B 62 25.0 BB - B B B - - T - - ' ' ' ' - - - - - - - - - - - - - (2) [7] - -B(3) [7] 23 26.0 B - - - C -' - -B- - B - - - - B - - T 14 26.0 TB - - - - - - - B- - B - Bb - B - - - - ' - - - - B- - - - - (2) [7] 63 28.5 B B B B B - - - - - B (1) [6] . (1) [6] 34 24.5 B ' '.' . . - B -Bb - B - - - - - - - - - - BB 59 26.0 B - Bb - - - B- -B ' B - - B (1)[6] - - - - - - - - - B 7 25.5 B - - - - - B -B -B - - - - - - - - - B ' - - - - - - - - - - (1)[6] I' - - - - - - - - - - - - - - - - - - - - - BT - - - - - - - - BB 51 27.0 B - - - - - - - - B' B (2) [6] 52 24.0 B - - - - - - - - T 'T t t - - - - - - B b - - - - - - - - - B - - - - - B - - - - - - - 21 25.0 T t - - - - - - - - - - - - - - - - - - - - BBC ' C - - - - - - - - - - - - ' - ' - 'B' BB -Bb- ' ' B 13 26.5 B ''' (1)[6] 61 28.0 B - - - - - - - - B B C ' - - - - - - - - -- B - - (2) [5] 40 27.0 B 'C - - - - - B - - - B - - B (2) [5] ' ' ' - - - - - - - - - - - - - - - - B - - - - - - B '- - - - - - - - - - - - - - - - - - 56 24.5 T -B' 47 24.0 T - - - - - - T - B- - - - - B - B - (2) [5] -- - - - - - - - B 29 25.0 T - - - - - - - - - - - - TB''' (2) [5] Total = 31 individuals with - 5 feeding occurrences * Symbols indicate the following: B = Balanus glandula, C = Chthamalus spp., L = Collisella limatula, S = Collisella scabra, M Mytilus californianus, P = Pollicipes polymerus, T = Tetraclita rubescens. Small letters in some of the sequences indicate continued feeding by a snail on the same prey individual through more than one observation period. - = snail observed but not feeding, ' = snail not observed, ( ) = number of prey species per individual, [ ] = total number of prey per individual. t Duplicate Nucella code numbers at the two different sites refer to two different individuals. t Probability values are the likelihood that the particular diet sequence occurred by random foraging through the estimated relative abundances of prey species on the natural rock surfaces. PREY SELECTION BY INDIVIDUAL SNAILS June 1986 805 Elapsed days following first observation of feeding 80 60 94 - B - B -'' - - ' - - B - CB' - -B (3)[14] -M-L - - - - - S - - S - - -Mmmm- - ' ' ' ' '- ------' - - - S (3)[11] t-----M---P-Pp---P--P'P--P --P- ' ' ''' M -- - t-' - - -M- -Pp' Pppp -(2) [9] (2) [8] pp (2) [8] --M (1)[6] (2)[6] --------Mmmm-''''---M-M-PM - -Mm--------------------Pp - ' - - ---MMm--Mmp '-------M (2) [6] (3)[6] b - (1)[5] - - (2) [5] -Mm-Mm - - - - - - - - - - -B B - - - B B- - B - - ' ' ' ' - - - BB ' ' (3)[10] - - ' - - - - BBBB (2) [9] - - - - - - - B - B b -B b - - - (1)[9] - - - - - - - C - - - (1)[12] - -- - - T - - - - T (3)[12] - - (2) [10] (2) [9] - - - - - - - - - - - - - - B B --- (3) [13] - - (2) [9] (1) [71 (1) [7] (2)[9] (3)[12] Probability of diet 1.21 x 10-8 4.16 x 10-9 6.38 x 10-" 5.35 x109 2.69 x 105 7.27 x 10-8 1.00 x 10'12 (2)[6] 1.63 1.63 2.04 8.65 6.95 x x x x x 10-8 10-8 10-7 105 10-2 6.54 x 1W-2 1.00 x 10--4 1.16 6.84 7.00 1.20 8.44 6.57 x x x x x x 1.24 7.68 1.98 1.15 1.46 1.47 6.54 2.41 1.31 1.31 1.31 6.54 6.00 6.23 x 102 x 10-5 x 10-3 x 1O-3 x 10-2 x 10-4 x 10-4 x 10--3 x 10-3 x 10--3 x 10-3 x 10-4 x 10-3 x 10-3 103 10-7 10-3 10--4 105 10-3 6.23 x 10-3 1.15 x 10-2 8.78 x 10-2 1.15 x (2)[6] -- - - - - B - - - - - - B (3)[6] (2)[5] Hughes 1984, Hughes and Dunkin 1984a, b). Studies of bluegill sunfish (Werner et al. 1981) and bumble bees (Heinrich 1976, 1979) report both sequential feeding attacks on one prey species, and also describe differences between individuals in the same environment. Heinrich (1976, 1979) showed dramatic interindividual differences, with bumble bees foraging more efficiently on a certain type of flower once they became 10-2 x x x x x 10-2 1.21 x 10-2 1.32 1.32 1.32 1.32 1.73 3.37 1.32 2.15 2.15 4.28 1.57 1.57 x x x x x x x 10-2 10-2 10-2 10-2 10' 10-2 10-' 10-' 10 2 10-2 10-2 experienced with the flower structure. Specialization on different prey types within a foraging population might occur in species of predators whose prey require contrasting handling techniques but still contain roughly similar rewards. Nucella emarginata use different attack techniques to penetrate different species of their invertebrate prey. They usually drill through the shell at specific locations LANI WEST 806 Ecology, Vol. 67, No. 3 AA ' START, ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 5~~~~~~~~~~~~~~~~~~~~~~~~4 4 DISPLACEMENT RECORD \ DISPLACEMENT RECORD POTENTIAL PREY EPRE POTENTIAL (G X \/ SPECIES PREY EATEN . SPECIES BALANUS GLANDALA A COLLISELLA SCABRA POLLICIPES SCABRA\ .COLLISELLA . " ; MYTALUS COLLISELLA LIMATULA t Lo CALIFORNIANUS o SPP, r. ;xCHTHAMALUS / COLLISELLA LIMATULA \ POLYMERUS D \e TETRACLITA RUBESCENS ' BALANUS GLANDULA )rx SPP, :--CHTHAMALUS \ 0.5 mEESCENS. SCA TETEACLETA LSCALE m @ '7 MYTILUIS CALIFOENIANUS POLLICIPES POLYMERUS \- TETRACLITA RUBESCEN5 0. AD~~~~~~~~~~~ 4 b 5A NI sA1tX D E-\R I A6t',\< DISPLACEMENT RECARD PATENTIAL PREY PREY EATER XC DISPLACEMENT REGARD BALANAS ALANDALA ? A IG COLLISELLA LIMATALA TETEACLITA RUBESCENS 0.5 m CHTHAMALAS SPP. \CALLISELLA D 2*- A a5 \ ' 9 _ \ ) MYTILAS CALIFARNIANAS PALLICIPES PALYMERAS TETRACLITA RABESCENS D20114 tSCALE 0.5 m x \ g5 t v *- .C. \' @ \o t~~~ Ds y LINATALA COLLISELLA SCABRER. A .\M.MRL \ \- SPECIES ALANAS GLANDALA J {< \ TAT PREY EATEN< B . t- CALLISELLA SCABRA PALLMYICIPS PELYMERNANS POLYMERUS POLLICIPES PATENTIAL PREY XE SPP. 0/t SCALE A A SPECIES '.'CHTHAMALAS ~~~~~~~~~~~~~~~~~~~~~~ \ 2 , \< \ \, < : FIG. 2. Net displacement record and sequential feeding attacks made at site A by (A) snail 66, (B) snail 52, (C) snail 51, and (D) snail 26. Numbers along the snail path indicate the number of observations the snail remained at the specific location indicated. Estimates of relative abundance of prey from each rock surface are represented in the figure to give an approximate indication of prey availability. June 1986 PREY SELECTION BY INDIVIDUAL SNAILS 4. Portionsof the diet sequencesof individualsthat moved acrossand chose prey on the same 2 x 0.5 m rock surface. 807 TABLE Study site A SurfaceI SurfaceII Snail number 61 4 52 60 II Section of prey sequence BBBBBCBB MMPMM PPPTMPPPP MPMPMP BBBBB Dates (all 1978) 16 Apr-i 1 May 14 Apr-18 May 18 Mar-18 Apr 17 Mar-20 Apr 29 Mar-14 Apr W PREY 11 | W~~~~ 30 Wa z o) -3 cu n=I9ot(0,0) D z - ~30 Z PREYI 4 So a. 0 z 0 PREYI4 PREYIt4 PREY I 30 PREY 114 - PREYI Is PREY II 4t CHANGE IN PERCENT ABUNDANCE OF PRE Y I FIG.4. Changesin the availabilityofpreyprecedingchanges in the diet sequenceof individualNuce/la snails. Abundance of a prey species was used as a measureof availability,as in Fig. 3, except that abundancewas based on percentagecover by a speciesin 10 -cm2quadrats.Casesof changein diet from PREY I to PREY II are plotted to show the changein abundances of those species in the rock surface quadrats where PREY I and II were eaten. Labelingof figurequadrantsas in Fig. 3. Z 30. 30 * L0 PREY I 4' PREY 1It ' PREY I 4 Pk 0 PREYII +i PREYI PREYII ' PREY 11 4, 4 . * n lOoa t (0,O) - 0 o PREY I+ PREY1EI. PREY I4' - PREYIII -30 L. m on the morphologically diverse prey species. These specific handling techniques, along with individual consistency in prey choice, may be analogous to the bumble bee foraging patterns described by Heinrich (1976, 1979) and Laverty (1980). Since carnivorous snails improve their attack techniques with increased experience (Edwards and Huebner 1977, Dunkin and Hughes 1984, Hughes and Dunkin 1984 a, b) this is a possible mech- 0 PREYI jJ H W z 3 PREYI * PREYII4' PREY I 4 PREY It anism that could encourage interindividual differences in diet. w *N Feeding experience may also influence foraging behavior by chemical means. Wood (1968) describes the . : _30 * 30 phenomenon of "ingestive conditioning" in a carniv-30 Z W orous snail. Urosalpinx cinerea collected from areas CD where they fed predominantly on one species of prey Z chose to follow the effluent of that prey when offered I PREYI water streams containing different species of prey. A -30 PREYI 4' PREYI PREYII4 f snail's preference for the effluent of a species of prey could be changed by feeding it a restricted diet of another CHANGE IN PERCENT species. Ingestive conditioning was also demonstrated ABUNDANCE OF PREY I in laboratory work with Nucella lapil/us (Dunkin and FIG.3. Changesin the availabilityof preyprecedingchanges Hughes 1984, Hughes and Dunkin 1984a). In these in the diet sequenceof individualNucella snails. Abundance studies and those done by Wood (1968), interindividof a prey species, stated as a percentageof all potential prey speciespresent,was used as a measureof availability.Where ual differences in food choice were not investigated. Physiological phenomena, such as a predator prodiet changed,the abundanceof each prey species was measured in a 2 cm wide transect immediately before PREY I ducing a digestive or detoxifying enzyme for a specific was eaten,and measuredagainjust beforePREYII was eaten. type of food (Kitting 1980), could act in addition to The differencebetweenthe two measuresof PREY I (x axis) both ingestive conditioning and learning. Genetic variand the differencebetween the two measuresof PREYII (y axis)areplottedabove as points(x, y). Labelsin eachquadrant ability may also affect the ability of individual predcharacterizethe changein abundanceof PREY I and PREY ators to locate prey (Arnold 1981). Whatever the mechII in that quadrant;Tincreased,I decreased. anisms are, fixed specialization is probably not an Z.. 808 LANI WEST advantage in most environments, because the animal is not able to cope with change in its surroundings. Heinrich (1976, 1979), Laverty (1980), and Werner et al. (1981) all describe circumstances where their respective study animals maintain short-term specialization for feeding efficiency, yet still retain the flexibility to change to another food type when necessary. It is difficult to predict whether exceptionally long-term feeding studies of these organisms would show an increase or a decline in the degree of interindividual differences. If comparison of snail diets over the long term showed less variation between individuals, the shortterm individual consistency reported here could still be important to the efficiency of feeding individuals. The present study was not designed to test optimal foraging theory, but it is relevant. Where optimal foraging studies usually predict the behavior of the average individual in a population, my study was designed to examine differences between individuals in foraging behavior. Because diets of individuals within the same location were found to differ, the implicit assumption of simple optimal foraging models, that all individuals in a population evaluate prey according to the same hierarchy, should be questioned. Some researchers in optimal foraging theory are now taking this idea into account by considering the effects of experience and learning on the behavior of a forager (Hughes 1980, McNair 1981). We do not yet have a broad enough sample of investigations exploring interindividual variability to make generalizations about the degree and extent of its occurrence. Most studies where foraging individuals have been compared within a population report that there is a high degree of interindividual variability (see references in Hassell and Southwood 1978, Arnold 1981, Werner et al. 1981). However, Kitting (1980) reports that individual limpets maintained similar mixed diets of algae on different rock surfaces. This study documents another organism that shows variability between individuals in foraging behavior, and demonstrates that this variation is unlikely to be caused by a simple relationship between predator distribution and relative abundance of prey, or sizes of prey and predator. Future studies exploring the establishment of individual differences subjected to changing environmental conditions, or the heritability of preferences when individuals within a population show variability, will be important in distinguishing the roles of the many influences acting on foraging behavior. Other experiments could be designed to explore growth rates and reproductive success of individuals that specialize in diet compared to those that generalize within a local population. Although the major questions of many ecological studies are not directed toward variation between individuals, a focus on this variability may suggest new hypotheses and may help to integrate studies of evolutionary processes, physiology, and ecology. Ecology, Vol. 67, No. 3 ACKNOWLEDGMENTS I thank Donald P. Abbott for inspiration, the suggestion of following individuals, and assistance in all phases of this research. Thanks also go to James Watanabe, Charles Baxter, Christopher Kitting, Anson Hines, Robin Burnett, Bruce Menge, Jane Lubchenco, Teresa Turner, Christopher Marsh, Steven Gaines, Carla D'Antonio, Monica Geber, Edwin Bourget, Harilaos Lessios, John Christy, and Terence Farrell for useful discussion and comments on early drafts of this work. I thank James Watanabe, Steven Gaines, and Terence Farrell for statistical advice. I thank John Lucas for computer assistance. Comments from anonymous reviewers and R. T. Paine helped to improve the manuscript. 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