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Food Preferences Communicated via Symbol Discrimination
by a California Sea Lion (Zalophus californianus)
Marie Cox, Eric Gaglione, Pamela Prowten and Michael
Noonan
Aquarium of Niagara and Canisius College
As published in Aquatic Mammals, 1996, 22, 3-10.
Abstract
This study investigates the food preferences of a single California
sea lion, Zalophus californianus. Through operant conditioning the sea lion was
taught to associate arbitrary, abstract symbols with different food types. The symbols
were then used in paired comparisons to permit the sea lion to indicate and obtain its
preferred food. Results indicated a preference for foods that are high in nutritional
value and low in moisture. Knowledge of food preferences gained in this manner may be
useful in improving the reinforcement process, providing environmental enrichment, and
enhancing animal-human communication.
Introduction
In nature, animals can usually exercise choice about what they eat,
and the study of the choices made often reveals an adaptive selectivity. There is
increasing evidence that diverse animal species are able to evaluate potential food items
by their nutrient content, and that they characteristically and preferentially select
their food accordingly to optimize their nutrition (e.g., Belovsky, 1978; Rodgers &
Lewis, 1985; Murphy & King, 1987; Fourcassie & Traniello, 1994).
It remains unclear however whether sea lions, or any other marine
mammals, demonstrate such nutrient-based food selectivity. Observations made on wild
populations appears to indicate that California sea lions are opportunistic feeders,
shifting their diets with local variations in the abundance of diverse prey species
(Antonelis et al, 1984; Lowry, et al, 1991). Nevertheless, some authors suggest that wild
sea lions at times largely ignore one abundant food item in preference of another (e.g.,
Dyche, 1903; King, 1983). Since different prey species provide different levels of
nutrients (energy, protein, water, etc.) (Geraci, 1986), the possibility remains that,
when faced with equally accessible food items, sea lions may demonstrate a selectivity
reflecting a sensitivity to variations in nutrient content.
In captivity, caretakers ordinarily make judgments about what food
items to provide, and the animals are left simply to accept or reject those items which
are offered. Although efficient, this practice unfortunately hinders the animals from
clearly demonstrating any food selectivity to which they may be naturally inclined. Thus,
despite the abundance of marine mammals in captivity and their consequent availability for
observation, the question of food selectivity in these animals has remained largely
unaddressed.
Providing captive animals with food choice might both provide us
with greater insight into the nature of the animals, and allow for better management of
them as captive subjects. With knowledge of the preferences of a species, a captive animal
might be given a more satisfying diet¾ one closer to that which it would have selected on
its own. Furthermore, if operant conditioning is employed using food as a primary
reinforcer, attention to the preferences of a subject would allow for fine-tuning of
reinforcement procedures. For example, ordinary performance could be reinforced using
moderately preferred foods, while exceptional responses could be reinforced by utilizing
the most desired foods of the subject.
This study investigates the food preferences of a single California
sea lion, Zalophus californianus. The sea lion was taught to associate twelve
arbitrary visual symbols with different types of whole and cut food. After the sea lion
learned these various associations, its preferences were tested using the method of paired
comparisons in which the sea lion was permitted to repeatedly indicate and obtain its
choice between two items.
Methods
The subject of this study was a seven-year-old, female California
sea lion which had been born and raised in a zoological park, and had spent the previous
five years at the Aquarium of Niagara. She had been previously trained to perform a
variety of behaviors in educational demonstrations and shows. Testing for this project
took place on a nearly daily basis over an 18-month period. During the study, the weight
of the sea lion fluctuated between 73.9 kg and 89.4 kg. Testing was conducted in a dry, 80
m2 enclosure adjacent to a 26,500 liter holding pool filled with fresh water.
The sea lion always had free access to the pool during testing.
At the outset of this study, the subject was shaped (using mixed
fish reinforcement) to touch her nose to a plastic stimulus card. Thereafter, she was
presented with pairs of black and white symbols affixed to identical plastic cards and
allowed to touch her nose to whichever one she chose. Six different food items were
tested, as whole fish and as cut up pieces, and each food item was associated with a
unique symbol and "bridging" sound. Table 1 presents the different symbols,
their associated sounds, and the food items. Prior to this study, the sea lion was
observed to apparently dislike ice. That is, when given an ice cube in place of a
reinforcing fish, she would spit out the ice or even refuse to take it. In this study, in
addition to the food items tested, one symbol was associated with ice cubes presented as
if food.
| Table 1:
Symbols, associated sounds and food items. |
| |
|
|
| |
|
|
| Symbol |
Sound |
Food Item |
| |
|
|
 |
bell |
cut Capelin Mallotus villosus |
 |
slide stick |
cut Columbia
River Smelt Thadicus pacificus |
 |
penny rattle |
cut Herring Clupea harengus |
 |
horn |
cut Mackerel Scomber scombrus |
 |
bell rattle |
cut Lake Smelt
1 & 2 Osmerus mordax |
 |
squeak toy |
cut Squid Loligo opalescens |
 |
slide whistle |
whole Capelin Mallotus villosus |
 |
metal rattle |
whole Herring Clupea harengus |
 |
metal spoon in
glass cup |
whole Lake
Smelt 2 Osmerus mordax |
 |
whistle |
whole Mackerel Scomber scombrus |
 |
metal spoon in
plastic cup |
whole Squid Loligo opalescens |
 |
clicker |
Ice |
Over a period of days, testing focused exclusively on a single pair
of symbols/food items until the preference of the animal was determined, and during the
days focused on a given pair, the food items being tested were omitted from the food given
to the subject outside of testing sessions.
Between testing trials, the subject was taught to remain on a
pedestal as depicted in Figure 1. From the pedestal, the sea lion was permitted to watch
as the investigator manually hung the symbols on the enclosure walls, 130 cm to the left
and right of the pedestal. The side on which each symbol was placed, and the order in
which they were placed, were varied psuedorandomly and counter-balanced across trials
(i.e., the sequence of presentations was determined randomly with the restrictions that
each symbol appeared on the left and right equally frequently, and any given food symbol
was set into place first or second equally frequently, within any ten-trial testing
session). After placing the symbols, the investigator moved behind the sea lion and gave a
voice command releasing the subject to select a symbol. The sea lion then left the
pedestal and indicated its choice by touching one of the two symbols with its nose. Upon
touching the symbol of choice, the unique sound associated with that symbol was emitted to
indicate to the sea lion that the behavior was completed. The selected food type (or ice)
was then given to the sea lion.

Figure 1: Testing Layout (Acknowledgment: Nicole Barbuto)
Testing took place in blocks of trials (usually 10 trials per block
and two blocks per day) with each trial consisting of a paired choice. Thirty trials were
conducted for each symbol pair combination, unless the preference of the sea lion was less
than 90% (i.e., the subject selected the same food item on fewer than 27 of the 30
trials). In cases where a less-than-90% preference was demonstrated within the first
thirty trials, one hundred trials were conducted for that particular combination.
Each new food item/symbol was initially introduced to the sea lion
in sessions in which the sea lion was given the choice between that food and ice. After
the subject selected the new food over the ice thirty times consecutively, the new food
item became incorporated into the study. To diminish any possible influence of recent
experience on the preference of the sea lion, before testing any new pair of food items,
"intermixing trials" were first conducted in which the two food items were
alternately paired with ice until the subject selected either food item over the ice on
thirty consecutive trials.
Tables 2 and 4 present the food pairs tested, and the order in which
they were tested. Each food pair was tested twice, except for the pairs involving Columbia
River Smelt and Lake Smelt. During the course of this study, before all comparisons were
completed, Columbia River Smelt became unavailable and our original type of Lake Smelt was
restocked by our supplier with a much smaller fish. The first Lake Smelt ranged in size
from 5 cm to 8 cm in length, while the second Lake Smelt ranged in size from 2 cm to 5 cm.
Accordingly, the comparisons with Columbia River Smelt are incomplete and our findings
before and after the lake smelt transition have questionable comparability. Although in
the course of our testing the same symbol and sound were associated with both lake smelt
types, in our results we report on the first and second lake smelts separately.
Results
The results of the trials comparing cut pieces are presented in
Table 2. Note that the sea lion responded quite differently to the different Lake Smelt
subtypes. She demonstrated a definite preference for the first Lake Smelt, choosing it
over cut pieces of Squid, Capelin, Mackerel and Columbia River Smelt. By contrast, she
demonstrated a definite aversion to the second Lake Smelt. Not only did she choose all of
the food categories over the second Lake Smelt on every trial, but she also frequently
refused to make a selection between the ice and Lake Smelt symbols during the intermixing
sessions that occurred before the actual testing sessions.
| Table 2:
Food Items Compared as Cut Bits |
|
Food Items
Compared |
|
Testing
Order |
Number of Trials |
Preference % |
Preferred
Item |
Subject's
Average
Weight (kg) |
| Capelin |
Columb. Riv.
Smelt |
4 |
30 |
97 |
Columb. Riv.
Smelt |
82.6 |
| Capelin |
Herring |
3 |
30 |
100 |
Herring |
79.9 |
| Capelin |
Mackerel |
2 |
30 |
97 |
Mackerel |
83.5 |
| Capelin |
Lake Smelt 1 |
5 |
30 |
100 |
Lake Smelt 1 |
81.9 |
| Capelin |
Squid |
1 |
100 |
75 |
Squid |
79.5 |
| Columb. Riv. Smelt |
Capelin |
15 |
30 |
100 |
Columb. Riv.
Smelt |
82.3 |
| Columb. Riv. Smelt |
Herring |
11 |
30 |
97 |
Herring |
81.3 |
| Columb. Riv. Smelt |
Mackerel |
14 |
30 |
90 |
Mackerel |
82.3 |
| Columb. Riv. Smelt |
Lake Smelt 1 |
13 |
100 |
90 |
Lake Smelt 1 |
81.7 |
| Columb. Riv. Smelt |
Squid |
12 |
30 |
100 |
Columb. Riv.
Smelt |
81.3 |
| Herring |
Capelin |
22 |
30 |
100 |
Herring |
78.1 |
| Herring |
Mackerel |
20 |
100 |
61 |
Herring |
77.2 |
| Herring |
Lake Smelt 2 |
23 |
30 |
100 |
Herring |
77.6 |
| Herring |
Squid |
21 |
30 |
83 |
Herring |
78.1 |
| Mackerel |
Capelin |
16 |
30 |
100 |
Mackerel |
80.4 |
| Mackerel |
Herring |
18 |
100 |
60 |
Herring |
84.0 |
| Mackerel |
Lake Smelt 2 |
19 |
30 |
100 |
Mackerel |
81.7 |
| Mackerel |
Squid |
17 |
30 |
100 |
Mackerel |
84.0 |
| Lake Smelt 2 |
Capelin |
29 |
30 |
100 |
Capelin |
82.3 |
| Lake Smelt 2 |
Herring |
28 |
30 |
100 |
Herring |
80.8 |
| Lake Smelt 2 |
Mackerel |
30 |
30 |
100 |
Mackerel |
80.4 |
| Lake Smelt 2 |
Squid |
27 |
30 |
100 |
Squid |
80.4 |
| Lake Smelt 1 |
Capelin |
7 |
30 |
100 |
Lake Smelt 1 |
82.2 |
| Lake Smelt 1 |
Columb. Riv.
Smelt |
6 |
100 |
77 |
Lake Smelt 1 |
81.3 |
| Lake Smelt 1 |
Herring |
8 |
30 |
97 |
Herring |
81.3 |
| Lake Smelt 1 |
Mackerel |
9 |
30 |
97 |
Lake Smelt 1 |
81.7 |
| Lake Smelt 1 |
Squid |
10 |
30 |
100 |
Lake Smelt 1 |
81.7 |
| Squid |
Capelin |
31 |
30 |
100 |
Capelin |
80.4 |
| Squid |
Herring |
26 |
30 |
100 |
Herring |
79.0 |
| Squid |
Mackerel |
25 |
30 |
100 |
Mackerel |
78.1 |
| Squid |
Lake Smelt 2 |
24 |
30 |
100 |
Squid |
77.6 |
Beyond this lake smelt dichotomy, the food preferences exhibited
were generally quite stable (that is, the same results were obtained on both tests of any
given pair). In the only exception, the sea lion demonstrated a degree of ambivalence when
Capelin and Squid pieces were compared. In the first session the subject chose Squid 75%
of the time; in the second session she chose Capelin 100% of the time. Generally however,
our results reveal clear and consistent preferences. The sea lion demonstrated a
preference for cut Herring over all other cut food items, and Herring bits were followed
in preference by Lake Smelt 1, Mackerel, Columbia River Smelt, Squid, Capelin, and finally
Lake Smelt 2.
| Table 3:
Food items, preference quotients and food compositions (Cut bits) |
|
Food Item |
Times Tested* |
Times Chosen |
Preference
Quotient |
Energy
kcal/kg |
Oil
% |
Protein
% |
Moisture
% |
Ash
% |
| Herring |
10 |
10 |
1.00 |
1600 (700-2500) |
15.5 (2-29) |
18.5 (15-22) |
65 (52-78) |
2 |
| Mackerel |
10 |
7 |
0.70 |
1700
(1400-2000) |
9.15 (0.3-18) |
19 (13-25) |
69.5 (61-78) |
3 |
| Squid |
10 |
3 |
0.30 |
850 (850) |
2 (2) |
15 (12-18) |
79 (74-84) |
3 |
| Capelin |
11 |
2 |
0.18 |
950 (700-1200) |
5 (2-8) |
14 (13-15) |
79.5 (77-82) |
2 |
| Correlation coefficients relating PQ to
food composition |
|
0.8856 |
0.9332 |
0.9153 |
-0.992 |
-0.1382 |
* i.e., the number of
times the food item appears in Table 2.
Food composition values
are medians (and ranges) derived from Geraci (1986; Table 47.2).
Smelts were omitted
because of the ambiguity of assigning Geraci's single entry to the three types of smelt
used in this study.
It has been shown that many other species appear to take nutrient
content into account in making their food selections (cf. Murphy & King, 1985, and
references cited therein). Crude nutrient contents typical for most of our food items are
provided in Geraci (1986). For the food items tested as cut pieces we computed its overall
preference quotient (PQ) as the total number of trials on which that item was chosen
divided by the total number of trials on which it was tested (Woodworth, 1938), and those
values are presented in Table 3. For each nutrient category we then computed the
correlation coefficient (r) relating median nutrient values (derived from Geracis
ranges) with the preference quotients, and these r values are presented at the bottom of
Table 4. Despite the small number of data pairs, a strong positive relationship was
revealed between the preferences of the sea lion and the estimated quantities of energy,
oil and protein contained in the cut pieces. There was also a strong negative relationship
(r = -.992) between preference quotient and moisture content.
| Table 4:
Food Items Compared as Whole Fish |
|
Food Items
Compared |
|
Testing Order |
Number of Trials |
Preference
% |
Preferred
Item |
Subject's
Average
Weight (kg) |
| Capelin |
Herring |
39 |
30 |
97 |
Herring |
85.5 |
| Capelin |
Lake Smelt 2 |
41 |
30 |
100 |
Capelin |
89.4 |
| Capelin |
Mackerel |
40 |
30 |
100 |
Mackerel |
na |
| Capelin |
Squid |
49 |
30 |
90 |
Squid |
74.4 |
| Herring |
Capelin |
36 |
30 |
97 |
Herring |
84.0 |
| Herring |
Lake Smelt 2 |
32 |
30 |
97 |
Herring |
na |
| Herring |
Mackerel |
33 |
84* |
60 |
Mackerel |
81.7 |
| Herring |
Squid |
34 |
30 |
97 |
Herring |
84.8 |
| Lake Smelt 2 |
Capelin |
44 |
30 |
100 |
Capelin |
86.2 |
| Lake Smelt 2 |
Herring |
42 |
29 |
100 |
Herring |
89.4 |
| Lake Smelt 2 |
Mackerel |
45 |
30 |
100 |
Mackerel |
81.1 |
| Lake Smelt 2 |
Squid |
43 |
30 |
97 |
Squid |
87.6 |
| Mackerel |
Capelin |
47 |
30 |
100 |
Mackerel |
76.4 |
| Mackerel |
Herring |
46 |
30 |
90 |
Mackerel |
78.3 |
| Mackerel |
Lake Smelt 2 |
50 |
30 |
100 |
Mackerel |
73.9 |
| Mackerel |
Squid |
48 |
30 |
100 |
Mackerel |
75.4 |
| Squid |
Capelin |
37 |
100 |
90 |
Squid |
84.4 |
| Squid |
Herring |
57 |
30 |
100 |
Herring |
83.0 |
| Squid |
Lake Smelt 2 |
35 |
30 |
97 |
Squid |
83.8 |
| Squid |
Mackerel |
38 |
30 |
100 |
Mackerel |
na |
* by error Test 33 was
terminated after 84 trials instead of 100.
Table 4 details our findings when whole fish were tested. In this
case, the sea lion demonstrated a preference for Mackerel over all other food categories.
Mackerel was followed in preference by Herring, Squid, Capelin and finally Lake Smelt 2.
For the food items presented as whole fish, we similarly computed preference quotients,
and compared them to the average weight of each fish item (see Table 5). In these tests,
the sea lion choices were clearly related to the size of food items (r=0.88). When given a
choice between two items, she consistently chose the larger of the two. (For the food
items compared as whole fish, we also calculated the approximate nutrient amounts
contained in each food item, as the median nutrient percentages derived from Geraci (1986)
multiplied by the average food item weight. Correlation coefficients relating PQ to
measures of food content¾ all nutrients, moisture and ash¾ were all strongly positive in
this case, doubtless reflecting the unsurprising fact that larger fish have more of
essentially all components than do smaller fish.)
|
Table 5:
Food item preference quotients and weights (Whole fish) |
|
Food Item |
Times Tested* |
Times
Chosen |
Preference
Quotient |
Average
Weight (gm) |
| Mackerel |
8 |
8 |
1.00 |
276.9 |
| Herring |
7 |
5 |
0.71 |
86.3 |
| Squid |
7 |
4 |
0.57 |
59.0 |
| Capelin |
8 |
2 |
0.25 |
22.7 |
| Lake Smelt 2 |
8 |
0 |
0.00 |
2.3 |
| Correlation
coefficient relating PQ to weight |
|
|
0.8815 |
* i.e., the number of times
the food item appears in Table 3.
Discussion
Given the strong correlations between the preferences of the sea
lion and food composition when cut pieces of equal size were compared (Table 4), the
choices made by our sea lion do not appear to be random. Since the cut bits containing
higher levels of oil and protein were generally preferred over cut bits of less nutritive
items, it is tempting to conclude that, like numerous other species (cf. Murphy &
King, 1985), the sea lion assesses food quality according to nutrient content. However,
there was an even stronger negative relationship between preference and moisture
content, perhaps indicating that the sea lion was choosing to minimize water intake.
Cognizant of the fact that there is evidence that marine mammals ordinarily derive their
water from their food (Ridgway, 1972), we wonder if our sea lions choices were
related to her testing conditions. Although she was primarily housed in salt water, each
day around the time of testing the subject spent several hours in a fresh water pool. It
is possible that as a consequence of the time spent in this holding pool, she ingested
sufficient fresh water to influence her food choices away from food moisture. Without
further experimentation we will be unable to distinguish between these two alternatives
(attraction to nutrients vs avoidance of water), since among the food items in the present
study there was a negative correlation between nutrient content and moisture.
We recognize that our study constitutes only a beginning. Obviously
additional animals will need to be tested to determine if our findings are characteristic
of the species generally, and as additional animals are tested, food-symbol pairings
should be varied to ensure that any consistent food preferences revealed are independent
of any particular symbols. We also know that it will be important to see if the
preferences indicated by our subject are stable over time. Indeed, if our suppositions
about food assessment are correct, there might be predictable variations in preferences
over time. Fish used as food items are known to vary considerably in nutrient content with
the seasons (e.g., Leu, et al, 1981). If we are correct that sea lions take nutrient
content into account, their preferences might be expected to vary as a function of these
seasonal variations in content.
These considerations notwithstanding, our results presently do
suggest that the sea lion possesses in its bio-behavioral repertoire the ability to
evaluate food nutrient content and to select its food items accordingly. There has been a
recent demonstration that sea lions possess a gustatory sense (Friedl et al, 1990).
Despite their notoriously rapid swallowing, perhaps they are nevertheless able to assess
their food via the sense of taste. Of course, sensory feedback from the stomach, or the
post-prandial monitoring of blood-borne nutrients, are other potential mechanisms.
It would be interesting to directly test sea lion selectivity in an
experiment in which the various crude nutrient components (oil, protein and moisture) of a
given food item are independently varied to see if sea lions can detect the differences
and select accordingly. If so, it would be important to elucidate the degree to which each
component influences the choice. It would also be interesting to test whether sea lions
respond differently to variations in food-water content depending on whether they are
housed in fresh or salt water.
We submit this study as a model for future experiments of this type,
and we feel that knowledge of food preferences gained in this manner can be utilized in a
number of ways. First, if the sea lion is like many other animals and has a natural
tendency to optimize its nutrition, the understanding of its preferences may yield
insights which will help us to better provide for their nutrition in captivity. Second,
training techniques might be improved by reserving the favorite food type of the subject
as special-reinforcement at selected times. This might be expected to be comparable in
effect to the increasingly common practice of varying degree of reinforcement with
quantity ("magnitude") of food reward (Schusterman et al, 1975). Third, the
provision of choice to an animal may of itself be beneficial. It can be argued that mental
enrichment is provided to an animal if it is permitted to exercise a degree of control
over its circumstances. During this study, our subject impressed us as being more
energetic and responsive than before this investigation began. We wonder if this reaction
of the sea lion can be attributed to her ability to select her food, and therefore, in a
sense, maintain some control over her trainer.
Fourth, this study may also open a route for future investigations
of the mental lives of animals. Symbolic communication research has been conducted using a
variety of animal species, including dolphins (e.g., Shyan & Herman, 1987) and sea
lions (e.g., Schusterman & Krieger, 1986). By studying the ability of animals to obey
commands, such investigations have revealed much about the ability of their subjects to
process symbolic representations and to correctly interpret and carry out instructions. We
feel that it is equally important in work of this type to provide a route by which an
animal can communicate to the investigator information about its tastes, affinities, and
natural tendencies, and we submit the present study as a model for such communication. In
this paradigm, the subject itself, not the investigator, determines the correct response,
and thus communicates information about its nature which may not be revealed under
circumstances in which humans predetermine appropriate responses. In addition to food
preferences, other types of preferences could be examined by using this procedure,
including the preferences of a subject for different types of reinforcement such as toys,
play-time, and tactile stimulation, as well as for various environmental stimuli such as
music, specific human trainers, etc. In this way we can learn more about the animals we
work with and use that knowledge to take steps to enrich their lives.
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