The results indicate
that when
'place' was predictable, the capuchins learned the spatial locations
of food and nonfood sites rapidly (one-trial learning). In a second
experiment, the positions of baited feeding sites were random. In
the absence of other information, the capuchins used the presence
of a local landmark cue (yellow block) placed at reward platforms
to select feeding sites. In a final experiment, there was evidence
that expectations regarding the amount of food available at a platform
(2 bananas vs. 1/2 banana) had a significant influence on capuchin
foraging decisions. Although the capuchins were extremely sensitive
to changes in experimental conditions, when given conflicting cues,
spatial information was predominant over other information in selecting
feeding sites.
Key Words: cognition, foraging decisions, primates, feeding
ecology, Costa Rica
Introduction
Ecological approaches to the study of learning provide important
insight into the evolution of sensory capabilities and foraging
behaviour [1-6]. In order to forage efficiently, an animal must
be able to retain and integrate information regarding changes in
the spatial and temporal availability of food resources. The information
available to the forager, however, is likely to vary based on food
type, the size and quality of the food patch, resource predictability,
the presence/absence of potential competitors, and its own cognitive
skills. Cues that may be used by one species to locate or select
feeding sites, may provide little information to a second species
[7]. For example, rufous hummingbirds (Selasphorus rufus) readily
learn to associate spatial information (location of food source)
with visual cues (a red light placed at some distance from the food
source) to locate baited feeding sites [4]. In contrast, this type
of visual cue is less salient to rats, who more easily associate
olfactory cues with spatial information when foraging [8].
In the case of nonhuman primates, data from both captive and field
settings offer evidence of species-level differences in foraging
patterns, and the degree to which individuals and groups use vocal,
visual, olfactory, and spatial information to coordinate travel
and locate feeding sites [1,6, 9-15]. Tropical forests are characterized
by highly complex, fluctuating, and seasonal patterns of food production
[10,16]. The availability of feeding sites can vary on a time scale
of hours, days, or months, and be distributed spatially across the
landscape as within-patch, between-patch, and core area (preferential
exploitation of certain zones of the home range) foraging choices.
In some instances, the decision to feed in one patch may preclude
the use of other patches during the same day [17]. Despite the existence
of marked spatial-temporal heterogeneity in resource availability,
several species of primates are reported to be highly efficient
at finding rare and ephemeral foods [1,10,12,13, 18-28]. In most
instances, however, there is little direct information on how feeding
sites are located, and whether species differ in their hierarchical
or ordered use of spatial, temporal, visual, and olfactory information.
This results from the fact that traditional methods in primatological
field research have rarely included the level of controlled experimental
design required to test hypotheses regarding problem-solving skills
and learning under natural conditions. Experimental field studies,
however, offer an opportunity to control the level of environmental
information available to the forager, and to examine directly species
"differences in spatial learning, the development of foraging
rules, and the hierarchy of perceptual cues used .... in making
foraging decisions [6]." In this paper we report on a series
of field experiments designed to examine the kinds of information
white-faced capuchins (Cebus capucinus) use in selecting feeding
sites (fig. 1). All species of capuchins exploit a diet of fruits,
nuts, insects (including both adult and larval forms), and vertebrate
prey [29-35]. Cebus has been described as a manipulative forager,
and consumes foods that are hidden in tree holes, rotting wood,
branches, termite nests, the base of palm fronds, bromeliads, and
other epiphytes, and embedded under bark [22,30,32,36-38]. These
resources are obtained through a process of extractive foraging
that require fine sensory and motor control [39-44].
Evidence from
both captivity and the wild indicates that capuchins have the highest
degree of manual prehension and pollicial opposability among New
World primates and exhibit more frequent and advanced tool using
skills than any other species of monkey [43,45-48]. In their natural
habitat, capuchins are reported to crack open palm nuts and hard
fruits by striking them against an anvil [37,45]. At La Suerte Biological
Field Station in Costa Rica, white-faced capuchins have been observed
to use twigs to probe holes in tree branches searching for prey
(Sara Garber, pers comm). In addition, these primates are noteworthy
in their high degree of encephalization and complex patterning of
cerebral fissures [49]. Enlargement of the neocortex in cebus is
so extreme that when allometrically corrected for body size, they
have a neocortex that is comparable to that of the chimpanzee [50].
The behavioural implications of neocortical expansion and visually
directed object manipulation in wild capuchins has not been fully
examined. However, Gibson [42: pg 112] has suggested that expansion
of the visual, motor, and sensory cortices and "differential
enlargement of neocortical association areas" in some primate
lineages may have led to an enhanced "ability to construct
relationships between multiple objects and multiple actions."
In this study, we address questions concerning relationships between
foraging, cognition, and learning in wild capuchins. This was accomplished
by testing their ability to use visual, spatial, olfactory, and
quantity information to predict the presence of food rewards at
multiple feeding sites. Specifically, using a series of controlled
field experiments we examined (1) the rate at which white-faced
capuchins learn the spatial positions of feedings sites, (2) whether
local landmark cues can be used to identify the presence of concealed
food items, (3) the degree to which expectations concerning the
amount of food can affect patch choice and foraging decisions, and
(4) hierarchical patterns of decision-making (that is, when given
conflicting information which cues are relied upon to a greater
degree than others).
Methods
Study Site
Field experiments were conducted on a troop of wild white-faced
capuchin monkeys at La Suerte Biological Research Station in northeastern
Costa Rica (10° 26'N, 83° 47'W). The site represents an
area of wet tropical lowland forest located along the La Suerte
River. Average yearly rainfall in this region is 3962 mm, with a
mild dry season extending from February until April [51]. In addition
to white-faced capuchins, the site also supports populations of
mantled howler monkeys (Alouatta palliata) and black-handed spider
monkeys (Ateles geoffroyi). The home range of the study troop was
part of a 20 hectare advanced secondary forest that was selectively
logged in the early 1970's. Since then, the forest has been left
relatively undisturbed and protected. Common adult tree species
at the site include Pentacelthra macroloba (Mimosaceae), Goethalsia
meiantha (Tiliaceae), Calatola costaricensis (Icacinaceae), Pithecelobium
longifolium (Mimosaceae), Ceiba pentandra (Bombacaceae), Apeiba
aspera (Tiliaceae), Bactris gasipaes (Palmae), and Hampea appendiculata
(Malvaceae).
Research Protocol
In June and July 1994, and continuing in early December 1994 we
began following and habituating a troop of 10-12 capuchin monkeys
at La Suerte. From these initial observations we were able to identify
an area in the troop's home range suitable for conducting field
experiments. The area selected offered high visibility and was located
in a part of the forest commonly traversed by the capuchins.
The field experiments were designed to present the capuchins with
a schedule of food availability that was analogous to patterns of
resource availability they encounter naturally in the wild. The
information available to the capuchins was controlled, however,
and therefore we could test a series of hypotheses regarding the
use of spatial information and perceptual cues in selecting feeding
sites. Two programs of prebaiting were initiated. During the first
prebaiting period, five feeding platforms were constructed in the
study area. These platforms were baited with bananas twice daily
for a period of 22 days. The prebaiting period functioned to habituate
the capuchins to the feeding platforms and allowed us to collect
base line data on capuchin social behaviour, foraging activities,
and vocalizations.
A blind built
of wood, palm thatch, and dark plastic was placed approximately
10 meters from the platforms. The blind offered an excellent vantage
from which to collect data, and served to minimize any effects that
observer presence might have on the behaviour of capuchins at the
feeding platforms.
In the second
prebaiting period, we replaced the 5 initial platforms with 13 new
platforms. Two bananas were placed on each platform twice daily
for a period of 3 days. This was done so that group members could
explore all feeding sites prior to the first day of the field experiments.
Platforms measured 1280 cm2 in area and were raised approximately
1.5 meters above the ground. The platforms were fixed in location
and used in all subsequent feeding experiments. One group of 7 platforms
(Station 1) was arranged in an oval configuration and located 15
meters south of the blind (fig.2). On average, platforms were positioned
3.2 meters apart. A second group of 6 platforms (Station 2) also
arranged in an oval configuration, was located 10 meters north of
the blind (fig. 2). Distances between platforms at Station 2 averaged
2.8 meters. At both Station 1 and 2, platforms were positioned in
order to take advantage of natural access routes provided by the
surrounding vegetation. In these experiments, a Feeding Station
is analogous to a food patch, each with its own number of feeding
platforms, pattern of food distribution, and rate of resource renewal.
No attempt was
made to trap or mark the animals, but we were able to recognize
certain individuals based on distinctive facial markings, body size
(the largest animal in the group was an adult male), and/or presence
of dependent offspring (by the end of the study, 3 females in the
group were carrying and nursing infants). Information on idiosyncratic
patterns of behaviour and the selection of platforms among members
of the study group was collected ad libitum.
Feeding Experiments
A series of feeding experiments was designed to identify the ability
of capuchins to use (a) spatial information, (b) visual cues, (c)
olfactory cues, and (d) expectations regarding the amount of food
at a feeding site in foraging decisions. Platforms were baited twice
daily (5:15 AM - hereafter referred to, as morning session; and
9:00am - hereafter referred to, as afternoon session) according
to a research protocol in which 3 of 7 platforms at Station 1 each
contained 2 real bananas, and 2 of 6 platforms at Station 2 each
contained 2 real bananas. The real bananas were not peeled. The
remaining platforms each contained 2 plastic bananas. The plastic
bananas were similar in size, shape, and colour to the real bananas.
Although subtle visual differences between plastic and real bananas
could be detected by human observers in full sunlight, in the shadowy
and poorly illuminated conditions of the forest understory, visual
discrimination between real and plastic bananas was considerable
less reliable. During certain experiments, banana skins were included
with plastic bananas. This was done to minimize or eliminate differences
in olfactory information available to the forager.
Quantitative data were collected over a period of 40 consecutive
days. Experiment 1 was divided into 3 test conditions, each lasting
5 days (total 15 days). The purpose of this experiment was to examine
the ability of capuchins to use spatial information to predict the
location of baited (real banana) and sham (plastic banana) feeding
platforms. The spatial positions of real and sham feeding sites
varied across each of the three 5 day test periods, but were constant
within each 5 day test period. In Experiment 2 (total 13 days) platforms
containing real and sham bananas were assigned randomly (place was
no longer predictable), and a visual cue (a yellow block) was placed
only at platforms containing real bananas. This experiment was designed
to test the ability of capuchins to use a local landmark or nearby
associative cue to predict the location of platforms containing
concealed food rewards. In Experiment 3 (12 days) we tested the
ability of capuchins to associate place with the presence, absence,
and quantity of food at a feeding site (plastic banana vs. 1/2 banana
vs. 2 bananas). The details of each feeding experiment are presented
in table 1.
During the field
experiments, all quantitative observations of capuchin behaviour
were made from a blind. When concealed in the blind, the researcher
could view both Feeding Stations and all feeding platforms simultaneously.
Over 400 hours were spent in the blind. An additional 120 hours
of quantitative data on diet, ranging, and positional behaviour
were collected during periods of the day when the monkeys were exploiting
other areas of their range.
The placement
and configuration of Feeding Stations were designed to insure that
once an animal located a Feeding Station, it had an equal probability
of visiting any or all of the feeding platforms. A capuchin was
recorded as visiting a platform if it was observed to (1) sit or
stand directly on a platform and search for food, or (2) hang by
tail and/or limbs on a substrate adjacent to a platform and search
the platform for food. Visits to platforms containing real bananas
were scored as correct choices, whereas those to platforms containing
plastic bananas were scored as incorrect choices. Revisits to the
same platform or visits by more than one animal to a platform during
the same morning or afternoon session were noted, but scored as
a single visit. Chi Square Tests were used to determine whether
the number of correct choices differed significantly from random.
Results
General Feeding Behaviour
The monkeys located the feeding platforms on the second day of the
initial prebaiting period. Some individuals habituated rapidly to
the platforms and fed daily. Other individuals appeared to be reluctant
to descend onto the platforms and vocalized repeatedly from a height
of 3-5 meters above the platforms. Over time, however, adult males,
adult females with infants, and juveniles were all observed to feed
from the platforms.
On the first few days of the experiments, all visits to feeding
platforms involved the use of arboreal access routes. By Day 3,
however, animals were observed to travel on the ground as well as
use arboreal pathways to reach particular feeding platforms. In
general, only one capuchin visited a given platform at a time, and
there was little evidence of direct or aggressive competition for
access to baited feeding sites. Nevertheless, the capuchins rarely
fed while positioned on a platform. Rather, they carried 1 or 2
whole bananas into the canopy to feed. Even under conditions in
which only 1/2 banana was present on a platform (Experiment 3),
the monkeys always transported the food to a higher location in
the canopy to feed.
Over the course
of the three feeding experiments, the capuchins visited the Feeding
Stations on 39 of 40 days. At Station 1, the total number of platforms
visited was 322. At Station 2, the total number of platforms visited
was 229. On average, the capuchins visited 4.3 (±1.6) platforms
per session at Station 1 and 3.2 (±1.6) platforms per session
at Station 2.
The behaviour
of the capuchins at the Feeding Stations suggest that each was treated
as a distinct food patch. This is supported not only by the ability
of the capuchins to learn to use spatial and quantity information
that was specific to each Station (see below), but in addition,
on 9 occasions the capuchins visited platforms at Station 1 but
did not visit any platform at Station 2. Moreover, it was not uncommon
for all or most group members to concentrate their foraging activities
on several platforms at one Feeding Station before visiting platforms
at the other Station. Finally, on several occasions, the capuchins
visited one Station, fed, rested for a period of time, and then
travelled to the other Station to feed.
As indicated
in table 2, there was evidence of significant temporal differences
in the manner and efficiency in which the capuchins exploited the
Feeding Stations. Over the first 10 days of the study, (Exp. 1A
and B) latency from the time the animals first arrived at the Feeding
Station until the time they first fed was approximately 15 minutes.
During the remaining 29 test days, latency dropped to less than
7 minutes. Similarly, the length of time members of the study group
remained in the immediate vicinity of the Feeding Stations after
feeding was concluded decreased from 38.1 minutes in Experiment
1A to 5.6 minutes in Experiment 3 (table 2). Capuchin feeding rates
(i.e. the number of reward platforms visited per time spent at the
Feeding Stations) showed a general pattern of increase throughout
the study (table 2).
Experiment 1
In Experiment 1A, 3 of 7 platforms at Station 1 and 2 of 6 platforms
at Station 2 had real bananas. The probability of encountering a
platform that contained a food reward by chance was .384 (5/13).
The information available to the monkeys in selecting particular
feeding platforms included spatial cues (place was constant), visual
cues (subtle differences in the appearance of real and plastic bananas),
and olfactory cues (potential differences in the smell of plastic
and real bananas). On the first day of the experiment, the capuchins
travelled to both Feeding Stations, and visited a total of 10 different
platforms. Sixty per cent of these visits were to real sites and
40% to sham sites (fig. 3). During this 5 day experimental period,
79.4% of visits were to Station 1 and 20.6% were to Station 2. Overall,
85.1% (23/27) of the visits to Station 1 and 85.3% (6/7) of the
visits to Station 2 were to platforms containing real bananas. Combined,
these values are significantly above chance levels (X2=19.7, df=1,
p<.01). Figure 3 illustrates the cumulative increase in the frequency
at which troop members learned the location of banana baited platforms.
Experiment 1A, was not designed to identify directly the types of
information capuchins used in selecting feeding sites. This was
addressed in Experiments 1B and 1C. On the first day of Experiment
1B, the locations of real and sham food rewards were rotated (given
the number of platforms and our protocol, 3 platforms that did not
contain food in Experiment 1A also did not contain food in Experiment
1B). If visual and/or olfactory cues were the primary means by which
capuchins identified feeding sites, then we expect that they would
continue to locate real banana platforms at a frequency greater
than chance. If however, spatial information was a primary cue in
selecting feeding sites, then we would expect the capuchins to return
to platforms that had contained bananas in Experiment 1A. The results
(fig. 3) indicate that on the first day of Experiment 1B the capuchins
visited 8 platforms in the morning, only 4 of which contained real
bananas (50%). Initial platform visits were to sites that had contained
real bananas in the previous experimental condition. Thus in terms
of the hierarchical use of information, spatial cues appeared to
be more salient than visual and olfactory cues in selecting feeding
sites.
The new positions
of baited sites were learned rapidly (fig. 3). When the capuchins
revisited the Feeding Stations in the afternoon (2nd exposure to
test conditions), 4 of 5 (80%) visits were to platforms containing
real bananas. Over the remaining 4 days of this experiment, the
animals selected reward platforms 90.3% of the time (28/31) (X2=
21.7, df=1, p<.01).
Experiment 1
C offered a second test of the importance of spatial information
in locating feeding sites. In this condition, visual cues were eliminated
by covering both real bananas and plastic bananas with a large leaf.
Differences in olfactory cues were minimized by placing banana skins
in with the plastic bananas. The positions of real and sham feeding
sites were placed randomly on the morning of day 1. Therefore, on
their first exposure to the test conditions, the capuchins lacked
spatial, visual, or olfactory information that they could use to
increase the likelihood of encountering real banana sites. Given
that 'place' remained constant throughout the rest of this experiment,
on all subsequent visits the capuchins could rely only on spatial
information (landmark cues) as a guide to locate reward sites.
On the morning
of the first day of Condition 1C, the capuchins encountered real
bananas on 5 of 10 platforms visited (50%; fig. 3). Their ability
to relocate these platforms increased to 77% by Day 2, and remained
at that level throughout the Experiment (afternoon Day 1 through
Day 5 = 39/52 or 75%). These results indicate that when presented
with spatial information only, the capuchins were still able to
locate real banana feeding sites at a rate significantly greater
than chance (X2=18.0, df=1, p<.01). Moreover, there were no differences
in performance on morning and afternoon trials (AM= 18/23 [78.2%]
and PM= 16/21 [76.1%], Days 2-5; X2= .01, df=1, p>.05). Evidence
of a significantly better performance in the afternoon would imply
that the capuchins did not necessarily retain spatial information
from one day to the next, but rather used spatial information obtained
each morning to predict the location of real banana platforms each
afternoon.
Experiment 2
This experiment tested the ability of capuchins to use a nearby
associative cue (a yellow block) to predict the location of productive
feeding sites. This was accomplished by presenting the monkeys with
a set of conditions in which 'place' was no longer predictable.
That is, although the number of platforms at each Feeding Station
that contained plastic bananas and real bananas remained constant,
the locations of food and sham food were assigned randomly each
morning and each afternoon. In addition, platforms were covered
with a large leaf to hide the bait, differences in olfactory cues
minimized, and a yellow block was placed only on those platforms
that contained real bananas. In this experiment, the presence or
absence of a yellow block on each platform provided the only reliable
information that could be used to successfully identify feeding
sites. In the wild, capuchins may rely on nearby visual cues to
increase the likelihood of encountering prey concealed or embedded
in microhabitats such as palm fronds, dead wood, and the base of
bromeliads.
Initial analysis of the data failed to indicate that the capuchins
had learned to associate the yellow block with the presence of a
food reward. Over the first 6 days only 21 of 47 platforms (44.6%)
visited at Station 1 contained real bananas (table 3). This was
not significantly different from random (42.8%; X2=.04, df=1, p>.05).
At Station 2, 45.4% of visits (15/33) were to real banana platforms
(table 3). Once again this did not deviate from chance expectations
(33%; X2=1.55, df=1, p>.05).
During the final
6 days of Experiment 2 (days 7-12), the capuchins visited the feeding
platforms 130 times. However, as in the case of the first 6 days,
they failed to select banana sites above chance levels (table 3;
45.3% Station 1 and 40.0% Station 2). In Experiment 1C, when 'place'
was predictable the capuchins visited an average of 6.4 platforms
per day. When an identical amount of food was available, but 'place'
no longer predictable (Experiment 2), the number of platforms visited
per day increased to 9.3. Unlike in previous experiments, some group
members continued to search unexplored platforms even after all
sites with yellow blocks had already been visited.
Closer inspection
of the data showed that at least some individuals did associate
these nearby landmarks with a food reward. Given that 3 of 7 platforms
contained real bananas at Station 1 and 2 of 6 platforms contained
real bananas at Station 2, foraging behaviour was rescored to include
only the first 3 platform visits and first 2 platform visits respectively.
This was done because it became apparent that the first animals
to visit feeding platforms often went directly to yellow block/banana
sites, whereas animals arriving later went from platform to platform
in search of food. Analyzing the data in this way showed that during
both morning and afternoon sessions, the initial set of platforms
visited (61/111 = 54.9%) were associated with the presence of yellow
blocks (X2=7.8, df=1, p<.01). Moreover, a breakdown of which
platforms were selected on a day by day basis offers insight into
the rate at which this information was learned (fig. 4). For example,
during the first 3 days of Experiment 2, sites containing yellow
blocks were among the initial set of platforms visited 46.6% of
the time (expected was 42.8%) at Station 1 and 28.5% of the time
(expected was 28.5%) at Station 2 (fig. 4). From day 4 through day
12, however, 57.4% of the first 3 platforms visited at Station 1
and 60% of the first 2 platforms visited at Station 2 were associated
with yellow blocks. These values were significantly above chance
levels (X2=14.9, df=2, p< .05).
Platform choices
were also examined in terms of combined or joint probability in
foraging success. That is, we calculated the expected probability
that each of the first 3 platforms, 2 of the first 3 platforms,
1 of the first 3 platforms, and none of the first 3 platforms visited
at Station 1 in a morning or afternoon trial would have real bananas.
This was also done for Station 2, and the results of both analyses
are presented in table 4. The evidence indicates that during the
final 9 days of Experiment 2, the capuchins did rely on nearby landmark
cues to discriminate between food and nonfood sites.
Experiment 3
In the previous experimental condition, the spatial positions of
real and plastic bananas were random during morning and afternoon
trials. In Experiment 3, 'place' was once again constant, differences
in olfactory cues minimized, and the bait was concealed. The purpose
of this experiment was to determine whether the capuchins would
associate the location of a food source with information concerning
the amount of food expected at a feeding site. In this case we instituted
a new baiting protocol, in which the amount of food at particular
platforms was unequal. Hence, two platforms at Station 1 contained
2 bananas each, one platform contained 1/2 banana, and 4 contained
plastic bananas. At Station 2, one platform contained 2 bananas,
two platforms each contained 1/2 banana, and 3 platforms contained
plastic bananas.
When place was constant in previous experiments, the capuchins learned
to discriminate between food and nonfood platforms rapidly. During
the first 5 days of this experiment, however, there was no evidence
that platforms containing real bananas were visited more frequently
than expected by chance. Six of 13 platforms (46.1%) offered a banana
reward and 52.5% (51/97) of capuchin visits were to these platforms
(X2=0.86, df=1, p>.05). By day 6, however, the capuchins showed
a change in behaviour that was consistent with knowledge of the
locations of real and sham feeding sites. The data indicate that
from day 6-12 there was a marked reduction in the mean number of
platforms visited daily (Day 1-5 = 9.1; Days 6-12 = 6.0), and the
percentage of visits to real banana platforms increased to 75% (63/84)
(X2=15.1, df=1, p<.05). Moreover, if we examine foraging patterns
based on the first 3 choices during Days 6-12, then 80.5% (29/36)
of the platforms selected at Station 1 and 84.3% of platforms selected
(27/32) at Station 2 contained real bananas.
In order to
determine whether the capuchins used information about the quantity
of food available in selecting feeding sites, we compared evidence
of preferential visits to platforms expected to contain greater
food rewards. This was done by ranking reward platforms at each
Feeding Station according to the order they were visited, and whether
they contained 2 real bananas or 1/2 of a real banana. During days
1 through 5, the first platform visited at Station 1 contained 2
real bananas in 10% (1/10) of morning and afternoon trials (table
5). Similarly, in only 2 of the first 10 trials (20%) at Station
2 did the capuchins select the platform containing 2 real bananas.
In contrast, during the final 7 days the first feeding platform
visited contained 2 bananas on 8 of 12 trials at Station 1 (66.6%)
and 7 of 12 trials (58.3%) at Station 2 (table 5). Given that the
likelihood of selecting a platform containing 2 bananas at random
from Station 1 was 28.5% (2/7) and from Station 2 was 16.6% (1/6),
it appeared that at least some capuchins integrated spatial and
quantity information in their foraging decisions.
Discussion
The primate infraorder Platyrrhini represents an extremely successful
and diversified radiation of small to medium sized arboreal monkeys,
and includes several species that exhibit social patterns and foraging
skills reminiscent of the great apes (e.g. the fission-fusion social
system of atelines; extractive foraging, tool use, and high degree
of vocal coordination among dispersed foragers in Cebus [15,29,30,39,41,42,45,52,53].
Currently, there exists only a limited amount of information to
assess the degree to which high levels of communication and cognition
in some platyrrhines and great apes are a prerequisite for these
complex behavioural patterns [41]. However, given significant differences
in diet, feeding ecology, encephalization, rates of infant development,
and prehension among closely related platyrrhine taxa (e.g. howler
monkeys and spider monkeys; or capuchins and squirrel monkeys),
the study of New World primates offers an opportunity to explore
adaptive and functional relationships between sensory skills, cognitive
abilities, and foraging behaviour [6,10,11,30]. As expressed by
Meador et al. [54: pg 21], "The adoption of an ecological perspective
appears particularly useful in the comparative study of the learning
capacities of New World monkeys."
The aim of the present set of experiments was to test the ability
of wild capuchins (Cebus capucinus) to use spatial information and
perceptual cues to solve foraging problems. Capuchins were presented
with a controlled set of feeding and foraging conditions that were
analogous to conditions they may naturally encounter in the wild.
For example, many foods eaten by these primates are distributed
in small, ephemeral, or scattered food patches [26,37,55]. These
feeding sites are often associated with hidden or embedded prey,
and may exhibit high variance in daily food rewards. Skills required
to exploit these resources include a high degree of manual dexterity,
as well as the ability to distinguish between similar feeding events
that occur at different points in time and in different localities
within the home range (e.g., integrate spatial and temporal information
with information on food type, renewal rates, and quantity of food
rewards). As the number of feeding sites visited increases, greater
integration and cognitive skills may be needed to track food intake
in several patches simultaneously in order to predict future foraging
success [5,42]. In each of our field experiments, the ability of
capuchins to locate real banana feeding sites was directly related
to their ability to store, categorize, and associate disparate types
of environmental information.
The results
showed that individual capuchins learned spatial information rapidly
and associated platform location with the presence or absence of
a food reward (i.e. win-stay and lose-shift foraging pattern). For
example, after a single exposure to a new set of resource distributions
(Exp 1C) the capuchins returned to real banana feeding sites on
77% of platform visits. This was accomplished in the absence of
other cues (food was concealed and differences in olfactory cues
minimized) and required that the monkeys not only differentiate
between the spatial positions of 13 individual feeding platforms,
but also distinguish between past feeding success and present feeding
success at each platform. That is, certain platforms that had offered
a reward over the previous 10 days no longer offered a food reward.
Some platforms that were previously unproductive, however, now offered
a food reward. In exploiting these platforms, the capuchins exhibited
a pattern of flexible learning and took advantage of changes in
resource information as they became available. Evidence of flexible
learning and extreme sensitivity to changes in food availability
and distribution have also been reported in nonexperimental field
studies of Cebus capucinus [26,33,34].
The results
of Experiment 1 clearly indicated the predominance of spatial information
over other cues in selecting feeding sites (fig. 3). On the first
day of Experiment 1B (rotation), for example, when spatial information
conflicted with visual and olfactory information, the capuchins
continued to return to platforms that had previously contained food
rewards. This occurred despite the fact that these platforms presently
contained plastic bananas, and offered visual and olfactory cues
that were different than the visual and olfactory cues offered by
platforms containing real bananas. Using spatial information to
return to feeding sites that were productive on the previous day
is likely to be an important tactical component of foraging in many
animal species [13].
In the second
experiment 'place' was no longer predictable. Platforms containing
real and sham bananas were changed randomly during each morning
and each afternoon trial. Under these conditions, the same win-stay
and lose-shift foraging strategy that was effective in Experiment
1 was no longer the most efficient way to exploit these resources.
This is especially the case for an individual foraging within the
context of a social group (i.e. within group feeding competition
see [34,35]). In our experiments, the costs in time and energy of
visiting an incorrect or sham feeding platform were probably negligible.
However, due to the limited number of feeding sites at each food
patch (only 3 of 7 platforms at Station 1 and 2 of 6 platforms at
Station 2 had real bananas), each visit to a sham platform might
significantly decrease an individuals' chances of encountering a
reward platform that had not already been exploited by another group
member. In Cebus capucinus, unlike Cebus apella, a single dominant
individual rarely controls access to a feeding site [33,55-57].
White-faced capuchins have been observed to feed alone at small
food patches [55]. However, under conditions in which only a limited
set of productive feeding sites are available, the presence of several
group members simultaneously exploiting the same patch is likely
to increase the cost to each individual of selecting an unproductive
feeding site [31,33].
In Experiment
2, a single yellow block placed on reward platforms was the only
information available to identify real versus sham feeding sites.
The evidence indicates that within a period of 3 days (6 trials),
at least some capuchins used these local landmark cues to find the
real bananas. Problem-solving under these conditions involved learning
the association between the location of a hidden food reward and
the presence/absence of a nearby object in the environment. Given
the rate at which capuchins learned this association, we argue that
these primates applied a set of pre-existing foraging 'rules' to
our experimental setting. Such 'rules' or 'presolutions' "represent
behavioural responses to food acquisition problems that are frequently
encountered in their environment..." [6]. It is likely that
spatial association learning [4], or the use of nearby cues to identify
concealed feeding sites, plays an important role in the ability
of capuchins to exploit insect and vertebrate prey successfully.
It is instructive
to compare these results on white-faced capuchins to a related experimental
field study of foraging decisions in moustached tamarins (Saguinus
mystax) [6]. Using a similar (but not identical) research design,
Garber and Dolins [6] found that tamarins also learned the spatial
positions of reward and sham platforms rapidly, and that olfactory
cues did not play a significant role in locating feeding sites.
As in the case of the capuchins, when given conflicting visual,
olfactory, and spatial information, callitrichines responded to
changes in the positions of real and plastic bananas by returning
to platforms that had previously contained food rewards [6]. Moreover,
there was strong evidence that the tamarins adopted a range of complex
foraging rules (i.e. win-stay and lose shift; win-shift and lose-return)
in selecting feeding sites. Similar patterns of rule-based learning
and complex use of spatial information have been reported in captive
groups of saddle-back tamarins [58,59] and cotton-top tamarins [60].
Despite many
similarities in response to the conditions imposed by the field
experiments, capuchins appeared to differ from tamarins in their
ability to associate nearby landmark cues with the presence of hidden
food rewards at feeding sites. Capuchins learned this association
rapidly (3 days). Although the tamarins were not tested under identical
conditions (red flags were used instead of yellow blocks and 16
platforms were used in the experiment rather than 13), during the
course of a 6 day experiment with local landmarks cues present,
the tamarins did not select reward platforms at a rate greater than
expected by chance [6]. In the wild, moustached tamarins rarely
exploit concealed or embedded prey [61]. It is possible that these
primates rely primarily on direct visual sighting of foods and distant
landmarks rather than local landmarks as a guide in locating feeding
sites. Support for this conclusion will require additional field
experiments. Capuchins, however, appear to use distant spatial information
[22-30], as well as local microenvironmental information (possibly
evidence of insect damage, condition of arboreal nests, subtle differences
in colour or texture of holes or tunnels on tree branches and trunks)
in foraging decisions. The ability to integrate both types of information
has been reported in common chimpanzees when extracting embedded
prey [48].
In the final
experiment, there was evidence that the capuchins learned and used
information about the quantity of food in selecting feeding sites
(1/2 banana vs. 2 bananas). Acquisition of this information occurred
over a 5 day period. This was longer than the time it took to associate
spatial information with the presence/absence of a food reward (one-trial
learning) or to associate a yellow block with the presence of food
at randomly changing feeding sites (3 days). Delay in learning might
reflect several factors. It is possible that (a) quantity information
is less salient to the capuchins than other information and is more
difficult to learn, (b) the difference between 1/2 banana and 2
bananas was not large enough to stimulate goal-directed behaviour,
(c) switching from a random baiting protocol in Experiment 2 to
a predictable baiting protocol in Experiment 3 required an extended
period of relearning patterns of spatial predictability, or (d)
a change in social foraging tactics resulted in subordinate individuals
selecting sites that offered smaller food rewards in order to avoid
competing with dominant individuals (e.g. risk sensitive forgaing).
At present, our data base is insufficient to test these alternatives.
We do, however, plan to explore these important issues through additional
field experiments.
In conclusion,
the results of this study indicate that wild white-faced capuchins
used associative cues (local landmarks), spatial cues, and quantity
information to discriminate between real banana and plastic banana
feeding sites. In the presence of conflicting information, however,
spatial cues appeared to predominate over other forms of information.
We feel, that in responding to the conditions of these feeding experiments,
the capuchins applied a set of problem-solving behaviours that they
otherwise use in exploiting resources in their natural environment.
These problem-solving behaviours may include certain spatial, temporal,
and quantity based representational 'rules' of foraging such as
return to a feeding site that had previously offered a food reward
(win-stay), avoid feeding sites that were unproductive (lose-shift),
return to feeding sites that previously contained near-to-ripened
foods (lose-return), and avoid feeding sites that previously contained
food but were unlikely to offer additional food rewards (win-shift).
In this regard, controlled field experiments offer a powerful tool
for studying individual and species differences in learning, and
the use of spatial-temporal information and sensory cues in foraging.
Acknowledgements
This study was conducted with the permission of La Suerte Biological
Research Station, Limon, Pococi, Costa Rica. We thank Rene Molina,
Lilian Molina, Alvaro Molina, and Federico Molina for their support
and encouragement. Assistance in the field was provided by Joanna
Lambert, Jennifer Rehg, Gerardo Rivera, and Ricardo Vsquez.
Comments on earlier drafts of this manuscript were provided by Steven
Leigh, Joanna Lambert, Hilary Box, and Hannah Buchanan-Smith. We
thank wildlife photographer Michael P. Turco for permission to use
the photo in Figure 1. P.A. Garber wishes to thank Sara and Jenni
for sharing their insights on primate foraging decisions and unpredictable
dietary patterns.
FIGURE CAPTIONS
Fig. 1 - A white-faced capuchin monkey (Cebus capucinus) from Costa
Rica. Photo by Michael P. Turco.
Fig. 2 - Schematic representation of the spatial relationship between
Feeding Stations, feeding platforms, and the blind used in this
experimental field study.
Fig. 3 - Cumulative
frequency of visits to platforms containing real bananas (correct
platforms). Data are combined for Feeding Stations 1 and 2 and are
based on the number of visits to reward platforms divided by total
number of visits to all platforms (banana plus sham).
Fig. 4 - Percent
correct visits to platforms containing a nearby landmark cue (yellow
block) and associated food reward. Data for Feeding Stations 1 and
2 are presented separately. Values represent percent correct visits
(total number of visits to banana platforms divided by the total
number of visits to banana plus sham platforms) for each 3 day period.
References
1. Menzel EW: Chimpanzee spatial memory. Science 1973, 182: 943-945.
2. Kamil AC, Yoerg SI: Learning and foraging behaviour; in Bateson
PPG, Klopfer PH (eds): Perspectives in Ethology, Volume 5: Ontogeny.
New York, Plenum Press, 1982, pp 325-364 .
3. Krebs JR,
Inman AJ: Learning and foraging: Individuals, groups, and populations.
Am Nat 1992, 240: S63-S84.
4. Brown GS,
Gass CL:Spatial association learning by hummingbirds. Anim Behav
1993, 46:487-497.
5. Real LA:
Information processing and the evolutionary ecology of cognitive
architecture; in Real LA (ed.): Behavioural Mechanisms in Evolutionary
Ecology. Chicago, University of Chicago Press, 1994, pp 99-132.
6. Garber PA,
Dolins FL: Testing learning paradigms in the field: evidence for
use of spatial and perceptual information and rule-based foraging
in wild moustached tamarins; in Norconk M, Rosenberger AL, Garber
PA (eds): Adaptive Radiation of Neotropical Primates. New York,
Plenum Press, in press.
7. Kamil AC:
A synthetic approach to the study of animal intelligence; in Real
LA (ed.): Behavioural Mechanisms in Evolutionary Ecology. Chicago,
University of Chicago Press, 1994, pp 11-45 .
8. Galef BG
Jr: Utilization by Norway rats (Rattus norvegicus) of multiple messages
concerning distant foods. J Comp Psychol 1983, 97: 364-371.
9. Fragaszy
DM: Comparative studies of squirrel monkeys (Saimiri) and titi monkeys
(Callicebus) in travel tasks. Zeit Tierpsych 1980, 54:1-36.
10. Milton K:
Distribution patterns of tropical plant foods as an evolutionary
stimulus to primate mental development. Am Anthropol 1981, 83: 535-543.
11. Milton K:
Foraging behaviour and the evolution of primate intelligence; in
Byrne RW, Whiten A (eds): Machiavellian Intelligence: Social Expertise
and the Evolution of Intellect in Monkeys, Apes, and Humans. Oxford,
Clarandon Press, 1988, pp 285-305 .
12. Boesch C,
Boesch H: Mental map in wild chimpanzees: an analysis of hammer
transports for nut cracking. Primates 1984, 25: 160-170.
13. Garber PA:
Role of spatial memory in primate foraging patterns: Saguinus mystax
and Saguinus fuscicollis. Am J Primatol 1989, 19:203-216.
14. Westergaard
GC: The subsistence technology of capuchins. Int J Primatol 1994,
15: 899-906.
15. Boinski
S, Campbell A: Vocal coordination of troop movement in white-faced
capuchins: a second field test. Behaviour, in press.
16. Terborgh
J: Community aspects of frugivory in tropical forests; in Estrada
A, Fleming TH (eds):Frugivores and Seed Dispersal. Dordrecht, Dr
W Junk Publishers, 1986, pp 371-384.
17. Post DG:
Feeding behaviour of yellow baboons (Papio cynocephalus) in the
Amboseli National Park, Kenya. Int J Primatol 1982; 3:403-430.
18. Menzel EW:
Cognitive mapping in chimpanzees; in Hulse SH, Fowler H, Honig WK
(eds): Cognitive Processes in Animal Behaviour. New York, Academic
Press, 1978, pp 375-422.
19. Altmann
SA: Baboons, space, time and energy. Am Zool 1974, 14: 221-248.
20. Sigg H,
Stolba A: Home range and daily march in a hamadryas baboon troop.
Folia Primatol 1981, 36:40-75.
21. Janson CH,
Terborgh J, Emmons LE: Nonflying mammals as pollinating agents in
the Amazonian forest. Biotropica 1981, 13: 1-6.
22. Robinson
JG: Seasonal variations in use of time and space by wedge-capped
capuchin monkeys, Cebus olivaceus: implications for foraging theory.
Smith Contrib Zool 1986, 431:1-60.
23. Oates JF:
Food distribution and foraging behaviour; in Smuts BB, Cheney DL,
Seyfarth RM, Wrangham, RW, Struhsaker TT (eds): Primate Societies.
Chicago, University of Chicago Press, 1987, pp 197-209.
24. Garber PA:
Foraging decisions during nectar feeding in tamarins monkeys (Saguinus
mystax and Saguinus fuscicollis, Callitrichidae, Primates) in Amazonian
Peru. Biotropica 1988, 20:100-106.
25. Garber PA:
Seasonal patterns of diet and ranging in two species of tamarin
monkeys: stability versus variability. Int J Primatol 1993, 14:
145-166.
26. Chapman
CA: Patterns of foraging and range use by three species of Neotropical
primates. Primates 1988; 29:177-194.
27. Menzel CR:
Cognitive aspects of foraging in Japanese monkeys. Anim Behav 1991,
41: 397-402.
28. Leighton
M: Modeling dietary selectivity by Bornean orangutans: evidence
for integration of multiple criteria in fruit selection. Int J Primatol
1993, 14: 257-314.
29. Robinson
JG, Janson CH: Capuchins, squirrel monkeys, and atelines: socioecological
convergence with Old World primates; in Smuts BB, Cheney DL, Seyfarth
RM, Wrangham, RW, Struhsaker TT (eds): Primate Societies. Chicago,
University of Chicago Press, 1987, pp 69-82 .
30. Janson CH,
Boinski S: Morphological versus behavioural adaptations for foraging
in generalist primates: the case of the cebines. Am J Phys Anthropol
1992, 88:483-498.
31. Chapman
CA, Fedigan LM: Dietary differences between neighboring Cebus capucinus
groups: local traditions, food availability, or responses to food
profitability. Folia Primatol 1990; 54:177-186.
32. Fedigan
LM: Vertebrate predation in Cebus capucinus: meat-eating in a Neotropical
monkey. Folia Primatol 1990; 54:196-205.
33. Fedigan
LM: Sex differences and intersexual relations in adult white-faced
capuchins (Cebus capucinus). Int J Primatol 1993; 14:853-877.
34. Rose LM:
Sex differences in diet and foraging behaviour in white-faced capuchins
(Cebus capucinus). Int J Primatol 1994; 15:95-114.
35. Rose LM:
Benefits and costs of resident males to females in white-faced capuchins,
Cebus capuninus. Am J Primatol 1994; 32:235-248
36. Parker ST:
Opportunism and the rise of intelligence. J Hum Evol 1978, 7: 596-608.
37. Freese C,
Oppenheimer JR: The capuchin monkeys, genus Cebus; in Coimbra-Filho
AF, Mittermeier RM (eds): Ecology and Behaviour of Neotropical Primates
Vol 1. Rio de Janeiro, Academia Brasileira de Ciences, 1981, pp
331-390.
38. Terborgh
J: Five New World Primates: A study in comparative ecology. Princeton,
NJ. Princeton University Press, 1983.
39. Westergaard
GC, Fragaszy, DM: The manufacture and use of tools by capuchin monkeys
(Cebus apella). J Comp Psych 1987, 101:159-168.
40. Costello
MB, Fragaszy DM: Prehension in Cebus and Saimiri: I. Grip type and
hand preference. Am J Primatol 1988, 15:235-245.
41. Visalberghi
E, Fragaszy DM: Do monkeys ape? in Parker ST, Gibson KR (eds): Language
and Intelligence in Monkeys and Apes. Cambridge, Cambridge University
Press, 1990, pp 247-273.
42. Gibson KR:
New perspectives on instincts and intelligence: brain size and the
emergence of hierarchial mental constructional skills; in Parker
ST, Gibson KR (eds): Language and Intelligence in Monkeys and Apes.
Cambridge, Cambridge University Press, 1990a, pp 97-128.
43. Antinucci
F: The comparative study of cognitive ontogeny in four primate species;
in Parker ST, Gibson KR (eds): Language and Intelligence in Monkeys
and Apes. Cambridge, Cambridge University Pres, 1990, pp 157-171.
44. Fragaszy
DM, Adam-Curtis LE: Environmental challenges in groups of capuchins;
in Box HO (ed): Primate Responses to Environmental Change. London,
Chapman and Hall, 1991, pp 239-264.
45. Izawa K,
Mizuno A: Palm fruit cracking behaviour of wild black-capped capuchins
(Cebus apella). Primates 1977, 18: 773-792.
46. Struhsaker
TT, Leland L: Palm nut smashing by Cebus a. apella in Colombia.
Biotropica 1977, 9: 124-126.
47. Antinucci
R, Visalberghi E: Tool use in Cebus apella: a case study. Int J
Primatol 1986, 7: 349-361.
48. Gibson KR:
Tool use, imitation, and deception in a captive cebus monkey; in
Parker
ST, Gibson KR
(eds): Language and Intelligence in Monkeys and Apes. Cambridge,
Cambridge University Press, 1990b, pp 205-218
49. Hershkovitz
P: Living New World Monkeys (Platyrrhini), Volume 1, Chicago, University
of Chicago Press, 1977.
50. Stephan
H: Evolution of primate brains: a comparative anatomical investigation;
in Tuttle RH (ed.): The Functional and Evolutionary Biology of Primates.
Chicago, Aldine¥Atherton, 1972, pp 155-174 .
51. Sanford
R, Paaby P, Luvall J, Phillips E: Climate, geomorphology, and aquatic
systems; in McDade L, Bawa K, Hespenheide H, and Hartshorn G (eds):
La Selva: Ecology and Natural History of a Neotropical Rain Forest.
Chicago, University of Chicago Press, 1994, pp 19-33.
52. Strier KB:
Atelinae adaptation: behavioural strategies and ecological constraints.
Am J Phys Anthropol 1992, 88: 515-524.
53. Chapman
CA, Wrangham RW, Chapman LJ: Ecological constraints on group size:
an analysis of spider monkey and chimpanzee subgroups. Beh Ecol
Sociobio 1995, 36: 59-70.
54. Meador DM,
Rumbaugh DM, Pate JL, Bard KA: Learning, problem solving, cognition,
and intelligence; in Mitchell G, Erwin J (eds): Comparative Primate
Biology - Volume 2, Part B: Behaviour, Cognition, and Motivation.
New York, Alan R. Liss, 1987, pp 17-84 .
55. Phillips
KA: Resource patch size and flexible foraging in white-face capuchins
(Cebus capucinus). Int J Primatol 1995; 16:509-521.
56. Janson CH:
Aggressive competition and individual food consumption in the borwon
capuchin monkey (Cebus apella). Behav Ecol Sociobiol 1985; 18:125-138.
57. Janson CH:
Ecological consequences of individual spatial choice in foraging
groups of brown capuchin monkeys Cebus apella. Anim Behav 1990b,
40: 922-934.
58. Menzel EW,
Juno C: Marmosets (Saguinus fuscicollis): are learning sets learned?
Science 1982, 217:750-752.
59. Menzel EW,
Juno C: Social foraging in marmoset monkeys and the question of
intelligence. Phil Trans Roy Soc Lond 1985, B308:145-157.
60. Dolins FL:
Spatial Relational Learning and Foraging In Cotton-top Tamarins.
Ph.D. Thesis, University of Stirling, Scotland, 1993.
61. Garber PA:
Feeding ecology and behaviour of the genus Saguinus; in Rylands
AB (ed): Marmosets and Tamarins: Systematics, Ecology and Behaviour.
Oxford, Oxford University Press, 1993, pp 273-295.
5 Tables and 4 Figures [ 1 - Department of Anthropology, University
of Illinois, Urbana, IL 61801.
2 - DPAS, State University of New York, Stony Brook, NY 11794.
Running Head:
Memory and Learning in Wild Capuchins
Send all correspondence
to:
Dr. Paul A.
Garber
Department of Anthropology
109 Davenport Hall, 607 S. Mathews Ave.
University of Illinois, Urbana, IL 61801.
Tele: (217) 333-3616
FAX: (217) 244-3490
email: pgarber@ux1.cso.uiuc.edu
Revised March
15, 1996
Submitted
for review and publication in Folia Primatologica Abstract |