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Seasonal and Daily Activity of Two Zoo-Housed Grizzly Bears (Ursus Arctos Horribilis)

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Captive grizzly bears, like their wild counterparts, engage in considerable variability in their seasonal and daily activity. We documented the year-long activity of two grizzly bears located at the Woodland Park Zoo in Seattle, Washington. We found that behaviors emerged in relation to month-to-month, seasonal, and time of day (hour-to-hour) observations, and events that occurred on exhibit, such as daily feedings. Seventeen behaviors split into seven classes of behavior were observed during their on-exhibit time over a 13-month period. Inactivity was the most frequent class of responses recorded, with most inactive behaviors occurring during the winter months. Both stereotypic and non-stereotypic activity emerged during the spring and summer months, with stereotypic activity occurring most frequently in the morning and transitioning to non-stereotypic activity in the latter part of the day. Results are discussed with respect to how captive grizzly bear behaviors relate to their natural seasonal and daily activity, as well as how events, such as feeding times and enrichment deliveries, can be used to optimize overall captive bear welfare.
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Article
Seasonal and Daily Activity of Two Zoo-Housed
Grizzly Bears (Ursus Arctos Horribilis)
Eduardo J. Fernandez 1, * , Ellen Yoakum 2and Nathan Andrews 3
1School of Animal and Veterinary Sciences, University of Adelaide, Adelaide 5005, Australia
2Ahimsa Dog Training, Seattle, WA 98107, USA; ellenyoakum@gmail.com
3Happy Hollow Park & Zoo, San Jose, CA 95112, USA; andren@uw.edu
*Correspondence: edjfern@gmail.com; Tel.: +61-206-765-7350
Received: 23 July 2020; Accepted: 21 August 2020; Published: 25 August 2020


Abstract:
Captive grizzly bears, like their wild counterparts, engage in considerable variability
in their seasonal and daily activity. We documented the year-long activity of two grizzly bears
located at the Woodland Park Zoo in Seattle, Washington. We found that behaviors emerged in
relation to month-to-month, seasonal, and time of day (hour-to-hour) observations, and events
that occurred on exhibit, such as daily feedings. Seventeen behaviors split into seven classes of
behavior were observed during their on-exhibit time over a 13-month period. Inactivity was the
most frequent class of responses recorded, with most inactive behaviors occurring during the winter
months. Both stereotypic and non-stereotypic activity emerged during the spring and summer
months, with stereotypic activity occurring most frequently in the morning and transitioning to
non-stereotypic activity in the latter part of the day. Results are discussed with respect to how captive
grizzly bear behaviors relate to their natural seasonal and daily activity, as well as how events, such as
feeding times and enrichment deliveries, can be used to optimize overall captive bear welfare.
Keywords: behavior; circadian; circannual; grizzlies; stereotypies; ursids; zoos
1. Introduction
1.1. Brown Bears in the Wild
Wild brown bears (Ursus arctos) currently reside in 44 countries, inhabiting a variety of habitats,
including dry Asian steppes, arctic shrublands, and temperate rain forests [
1
]. Researchers have found
behavioral variation in subspecies and subpopulations based on geographic location, resource availability,
and human influence [
2
5
]. The past data also suggest that most brown bear subspecies, including grizzly
bears (Ursus acrtos horribilis), spend more time active around the spring and summer, less in the fall,
and the least time active during the torpor months of winter [
3
,
6
10
]. Seasonal behavioral changes are
thought to be influenced by food availability [
3
,
9
12
], breeding [
8
,
9
], age [
2
,
13
], and sex [
14
]. Most of the
evidence on this behavioral variability is through secondary sources or non-field measures, due to the
difficulty of direct observation of an elusive, long-ranging carnivore. These methods have included scat
interpretation [
15
], radio collar tracking [
3
,
16
], observations in non-natural environments (e.g., zoos), or
a combination of two or more methods [17].
With respect to their daily activity, brown bears have primarily been found to be diurnal [
6
,
18
],
with peaks of activity in the early morning and evening. Some subpopulations have also been
reported to be crepuscular or nocturnal [
11
,
19
,
20
]. A large proportion of their daily waking activity is
thought to be foraging and eating, with bouts of rest and travel [
8
,
9
,
12
,
13
]. Brown bears have shown
flexibility in their daily activity based on weather [
6
], light levels [
19
], age [
2
,
13
,
14
], and anthropogenic
J. Zool. Bot. Gard. 2020,1, 1–12; doi:10.3390/jzbg1010001 www.mdpi.com/journal/jzbg
J. Zool. Bot. Gard. 2020,12
influences [
7
,
18
,
21
,
22
]. Seasonal and local changes in diet are thought to influence both circannual and
circadian rhythms [11,23].
1.2. Brown Bears in Zoos
Brown bears, including grizzlies, are common within zoological institutions. Like their wild
counterparts, a variety of factors influence their behavioral patterns—including, but not limited
to, enclosure settings, daily and seasonal weather variation, type and amount of food delivered,
feeding and environmental enrichment schedules, visitor and keeper interactions, and individuals
housed within an enclosure [
24
28
]. Likewise, brown bear enclosures show considerable variability,
from small, artificial enclosures to large, naturalistic exhibits [
29
31
]. Some facilities have on-exhibit
and o-exhibit enclosures that allow for the bear(s) to be secured overnight and may provide the
bear(s) with a winter den. Outdoor enclosures may have pools and/or streams, either natural or replica
fall trees and logs, and vegetation.
Welfare Assessment and Stereotypies
Zoos use a variety of methods to promote the proper care and welfare of their bears. One standard
measure of behavioral welfare is the comparison of wild and captive activity budgets [
32
34
]. Captive bears
may display stereotypies not typical of their wild counterparts. Stereotypies have been defined as repetitive,
largely invariant behavior patterns that serve no obvious goal or function [
34
]. Stereotypies are attributed to
numerous factors, including sub-optimal environments, lack of environmental control, and species-typical
appetitive behavior [
35
40
]. Stereotypies have been discussed as a possible indicator of poor welfare,
with the display of stereotypies in bears and other animals used as evidence of an enclosure failing to
meet the biological and/or behavioral needs of that animal [
41
44
]. Other studies have found that visitors
perceived stereotypies to indicate a lower level of care and/or are negatively correlated with interest in
financially supporting zoological institutions [
45
47
]. Thus, zoos place considerable effort in minimizing
the display of stereotypies and increasing naturalistic behaviors in bears, typically through the use of
environmental enrichment—including, but not limited, to changes in how and when food is presented
and the use of foraging devices [4852].
1.3. Study Purpose
The following study examined the seasonal and daily activity of two zoo-housed grizzly
bears. Seventeen behaviors were split into seven classes of behavior and examined in terms of
(1) month-to-month, (2) seasonal, and (3) hour-to-hour changes. The focus of the study was to (a) examine
observed behavior change patterns as they correlated with changes in the bear’s environmental and
husbandry practices, and (b) compare and contrast these patterns with those observed in their wild
counterparts. Additionally, we hoped to better understand the function of the observed behaviors
in terms of their species-typical and event-based occurrences, and thus, be better suited to provide
evidence-based suggestions for optimizing the welfare of these and other captive bears.
2. Materials and Methods
2.1. Subjects and Setting
Two captive-born grizzly bears were the subjects of the study: Keema, and Denali, ~395 kg male
bear and ~405 kg male bear, respectively. Both bears were 15-years-old at the study’s onset and were
reproductively intact. They were a brother pair that came from Washington State University’s Bear Center in
Pullman, Washington, and resided at the Woodland Park Zoo (Seattle, WA, USA) since November of 1994.
The bears resided in an exhibit in the Northern Trail zone of the zoo, and that contained three
areas: An on-view outdoor area, ~1120 m2, an o-view outdoor exercise yard, ~410 m2, and a indoor
space, ~250 m
2
. Both outdoor areas consisted of natural trees, deadfall, grass, and rocks. The on-view
J. Zool. Bot. Gard. 2020,13
area also contained an artificial river that led to a viewing window pool that held ~95 kL of water
(see Figures 1and 2).
Figure 1.
On-view outdoor area of the exhibit, with Denali (left) and Keema (right) engaged in Lying
Down (Inactive). Photo credit: Scott Richardson.
Figure 2.
On-view outdoor area of the exhibit with artificial river and pool visible. Denali is engaged
in Standing (Active). Photo credit: Scott Richardson.
Feeding enrichment was routinely provided in the form of scatter feeds and through devices,
such as boomer balls in both outdoor areas. The indoor space consisted of individual dens for each
of the bears. The indoor dens provided the bears with the opportunity to hibernate in the winter,
J. Zool. Bot. Gard. 2020,14
although their regular feeding schedule made this unnecessary (see below). The bears were typically
moved from the o-view area to the on-view area by 09:00 h, and then limited to the on-view area of the
exhibit between 09:00 and 16:00 h (Fall/Winter; October–March) or 09:00 and 18:00 h (Spring/Summer;
April–September), with some variability depending on weather conditions.
Diets for the bears varied based both on the individual and time of year, with 4.5–7 kg consumed
per bear per day. The bear diet consisted of Mazuri
®
omnivore diet, whole chickens, trout, rabbits, yams,
carrots, apples, honeydew melon, papaya, pears, cantaloupe, blueberries, romaine lettuce, celery, kale,
and grass hay. Salmon, ground turkey, oranges, and alfalfa were also occasionally added to their diet,
depending on availability. Treat items used for enrichment and/or training sessions included Marion
TM
leaf eater biscuits, Purina Omolene
®
, Iams
TM
dog food, and peanut butter. Diets were provided to the
bears either twice a day (07:30 and 15:00 h) or three times a day (07:30, 11:00, and 15:00 h), dependent
on their seasonal activity. The majority of their diet (at least half their daily diet) was provided at the
15:00 h feeding.
2.2. Materials
Materials included Palm
®
handhelds used to record behavioral data and an Event-PC program
that was run on the Palm
®
handhelds and designed specifically for this experiment by James C. Ha at
the University of Washington. Other materials included a notebook used to record potential errors and
additional observations/field notes that occurred during a session.
2.3. Data Collection and Procedure
Prior to its implementation, the study was approved through Woodland Park Zoo’s Research
Committee, as well as the University of Washington’s Institutional Animal Care and Use Committee
(IACUC #2858-06). An ethogram modified from a prior zoo bear study [
37
] and consisting of
17 behaviors split into seven classes of behaviors was also developed prior to the implementation of
the study (see Table 1).
Table 1. Behaviors, classes of behavior, and definitions for each response in the ethogram.
Behavioral Class and Behaviors
(Abbreviations) Definition
Active
Standing (St) Standing with no movement, 3 or 4 paws on the ground.
Rearing (Re) Standing up on back legs with stomach exposed.
Locomotion (Lo) Directed non-repetitive movement.
Manipulating object (Ma) Contact with a non-edible object, with any part of the body
manipulating its position.
Forage
Eating (Ea) Mouth contact with anything edible, including water.
Enriched Feeding (EF) Manipulating an enrichment device with food in it.
Social
Interacting w/another bear (IOB) Any gesture to another bear without vocalization.
Vocalization (Vo) Vocalization; must occur while oriented to another bear.
Groom
Licking body/Paws (LB) Tongue contact with any part of the body, including paws.
Scratching Body (SB) Using paws, mouth or non-mobile object to rub/scratch.
Inactive
Sitting (Si) Posterior and back legs on the ground in an upright position.
Lying down (LD) Most of the bear on the ground.
J. Zool. Bot. Gard. 2020,15
Table 1. Cont.
Behavioral Class and Behaviors
(Abbreviations) Definition
Stereotypy
Pacing (Pa)
Moving in a repetitive pattern, with completion from point A to
B and back to point A, (must include at least one full A-B-A
movement) or circling.
Rocking (Ro) Moving back and forth without locomotion. Must include at
least one full back-and-forth motion.
Other
Urinating or Defecating (UD) Urination or defecation.
Out of sight (OS) Not visible to the observer.
Other (Ot) Engaged in a behavior not listed above.
The behaviors observed were mutually exclusive, and the inclusion of the “Other” observation
category made the ethogram exhaustive. A modified scan sampling procedure [
53
] was used to record
behaviors for both bears during all observation sessions. The number of bears on exhibit was recorded
for behavior every 30 s for 30 min of observation for each session. These observations were then
averaged for each session based on the total number of bears engaging in each behavior, and by a
class of behavior. All observations were conducted in the on-view outdoor portion of the exhibit
between 09:30–18:00 h, seven days a week, between 12th January 2010 and 26th January 2011 (902 total
observations (1–8 observations per day) for 451 total hours of observations). Observers were typically
registered for independent research credit through the Psychology Department at the University of
Washington (PSY 499) and received observation training by live training sessions at the beginning of
each semester and weekly lab meetings throughout the study. Observations were examined weekly by
the first author for consistency across all observers, and drift was accounted for during these weekly
checks, as well as through weekly lab meetings. All observations were scheduled on a semester basis,
with observers filling times available during the week to account for as many observational times as
possible. A total of 38 observers collected behavioral data for the entire study.
2.4. Statistical Analyses
SigmaStat, version 11.0 (Systat Software Inc., San Jose, CA, USA) was used to run all the
statistical analyses. Only the classes of behavior that occurred more than 5% (Active, Forage, Inactive,
and Stereotypy) were examined for month-to-month, seasonal, and hour-to-hour activity, as well as
statistically analyzed. Because Shapiro-Wilk tests for normality failed, the dierences for the four
classes of behavior were tested for seasonal dierences (Winter: December–February, n=232 sessions;
Spring: March–May, n=325; Summer: June–August, n=136; Fall: September–November, n=209)
using Kruskal–Wallis analysis of variance (ANOVA) on ranks tests. When significant dierences
(
p<0.05
) for the ANOVAs were found, post-hoc pairwise comparisons (using Dunn’s Method) were
implemented. Dierences between the two combined January months (2010 (n=38 sessions) and
2011 (n=47 sessions); n=85 total January sessions) and July (2010; n=55 sessions) were tested
using Mann-Whitney Utests. The two January months were combined after finding no significant
dierences between each class of behaviors (also Mann-Whitney Utests). January and July were
directly compared because they were representative months for further examinations of the seasonal
dierences between the traditional winter (January) hibernation and summer (July) activity periods.
J. Zool. Bot. Gard. 2020,16
3. Results
Overall, Inactive was the most frequently occurring class of behavior (M=57.8%, SE =1.2%),
followed by Active (M=22.9%, SE =0.8%), Forage (M=7.8%, SE =0.5%), Stereotypy (M=5.9%,
SE =0.4%
), Other (M=4.1%, SE =0.4%), Social (M=1.2%, SE =0.2%), and Groom (M=0.4%,
SE =0.1%). Figure 3shows the month-to-month activity for the 13 months of observation.
Figure 3.
The average percentage of occurrence (with the standard error of the mean) for the four most
occurring classes of behavior for each month of observation during the study (x-axis).
During January through March, Inactivity was the most frequent class of behavior, occurring on
average above 75% of all behaviors recorded. All other classes of behaviors during these months
occurred ~10% or less. Starting in April, Active rose to 18% (SE =1.5) of all behaviors recorded,
until Active peaked in August at almost half of all behaviors observed (M=46%, SE =5.1).
The Stereotypy class of behaviors occurred ~3% or less of behaviors recorded during all observations,
except for May through July: 19.9% (May; SE =1.8), 18.4% (June; SE =2.7), and 17% (July; SE =2.6).
The Forage class of behaviors remained relatively stable, ranging from 5–10% of all behaviors recorded.
Figure 4shows the comparison between the four seasons:
Figure 4.
The average percentage of occurrence (with the standard error of the mean) for the four most
occurring classes of behavior (x-axis) across the four seasons. Dierent letters represent significant
dierences (p<0.05) between the seasons, while the same letters represent no significant dierence.
J. Zool. Bot. Gard. 2020,17
All four classes of behaviors tested for dierences across the four seasons showed a statistically
significant eect: Active (x
23
=123.230, p<0.001), Forage (x
23
=14.949, p=0.002), Inactive (
x23=115.395
,
p<0.001), and Stereotypy (x
23
=133.534, p<0.001). For Active, post-hoc tests showed a significant
dierence when comparing the winter to all other seasons and also the spring to both the summer
and fall (p<0.05 for all). Active increased from 11.2% (SE =0.9) in the winter to 19.5% (SE =1.1)
in the spring, increased to 32.5% (SE =2.3) in the summer, and increased to 35.2% (SE =1.8) in the
spring. For Forage, post-hoc tests showed a significant dierence when comparing the spring to both
the winter and fall (p<0.05 for both). Forage increased from 6.5% (SE =0.9) in the winter to 9.0%
(
SE =0.9
) in the spring, decreased to 7.6% (SE =1.3) in the summer, and decreased to 7.3% (SE =1.0)
in the spring. For Inactive, post-hoc tests showed a significant dierence when comparing the winter
to all other seasons and the spring to the summer (p<0.05 for all). Inactive decreased from 77.4%
(
SE =1.7
) in the winter to 56.8% (SE =1.9) in the spring, decreased to 41.2% (SE =3.1) in the summer,
and increased to 48.2% (SE =2.3) in the spring. For Stereotypy, post-hoc tests showed a significant
dierence when comparing the winter to all other seasons and also the summer to both the spring and
fall (p<0.05 for all). Stereotypy increased from 0.3% (SE =0.1) in the winter to 9.0% (SE =0.9) in the
spring, increased to 13.8% (SE =1.5) in the summer, and decreased to 2.0% (SE =0.3) in the spring.
To further examine the behavioral dierences that occurred seasonally, we compared two months
(January and July), which in the wild would be representative of winter hibernation and summer
activity periods, respectively. Figure 5shows the comparison between the two combined January
months and July:
Figure 5.
The average percentage of occurrence (with the standard error of the mean) for the four most
occurring classes of behavior (x-axis) for January (2010 +2011) compared to July (2010). Solid bars with
* represent significant dierences (p<0.001).
Three of the four classes of behaviors tested for dierences between January and July showed
a statistically significant eect: Active (U
138
=1265, p<0.001), Inactive (U
138
=1145, p<0.001),
and Stereotypy (U
138
=783.5, p<0.001). Between January and July, Active increased from 9.9%
(
SE =1.5
) to 29.5% (SE =3.4), Inactive decreased from 77.2% (SE =3.1) to 41.5% (SE =5.0), and Stereotypy
increased from 0.2% (SE =0.2) to 17% (SE =2.6).
Figure 6shows the hour-to-hour activity for the two combined January months and July.
J. Zool. Bot. Gard. 2020,18
Figure 6.
The average percentage of occurrence for the four most occurring classes of behavior for
each hour of observation (x-axis) during January (
top graph
) and July (
bottom graph
). The month of
January included observations from 09:00–16:00 h, while the month of July included observations from
09:00–18:00 h, due to the extended facility hours.
In the January months (both 2010 and 2011), when the bears were observed in the on-view area
of the exhibit from 09:00–16:00 h, Inactive occurred from the morning until 13:00 for >90% of all
observations. As Inactive decreased to ~30% by the 15:00–16:00 h period of observation, both Active and
Forage increased from 11.6% (Active) and 5.4% (Forage) to 22.3% and 22.4%, respectively. During July,
Inactive remained below 20% except for during the 10:00–11:00 h (35.3%) and 11:00–12:00 h (28.3%)
periods, and then later increased, beginning at 15:00–16:00 h from 49.5% to 91.1% and 100% during the
16:00–17:00 and 17:00–18:00 h periods, respectively. Active, Forage, and Stereotypy showed two peaks
in activity, with Active beginning high (39.2%) from 09:00–10:00 h, decreasing, and then peaking to their
highest occurrence from 14:00–15:00 h at 67.5%. Forage occurred in its highest frequency during the
11:00–12:00 h (22.3%) and the 15:00–16:00 h periods (9.8%). Stereotypy occurred in highest frequency
from 10:00–11:00 h (48.4%), decreased, and then peaked again to 28.6% during the 13:00–14:00 h period
of observation.
J. Zool. Bot. Gard. 2020,19
4. Discussion
4.1. Seasonal Activity
The zoo-housed bears in this study showed considerable variability in their behaviors throughout
the year, with the majority of their winter spent being inactive (hibernation period), and active behaviors
increasing toward the summer/fall starting in April. As mentioned earlier, this is similar to their wild
counterparts, depending on a variety of factors, including food availability, weather, and amount of
daylight. Both circannual and circadian rhythms are known to be entrainable to a variety of stimuli,
including food [
54
]. Although Ware et al. [
20
] have documented that the circannual rhythm of brown
bears appears to be entrained by photoperiod zeitgebers, they and others have also noted that both
the daily and seasonal activity of brown bears is likely most sensitive to food availability, as opposed
to daylength or temperature [
18
]. In one study, a wild population of grizzly bears in Slovenia were
supplemented with large quantities of corn during denning months and found that they denned
for significantly shorter periods and abandoned dens more frequently than bears living at the same
latitude without the corn subsidies [55].
Stereotypies only emerged for the bears in this study for three months: May–July. During these
months, stereotypic activity, primarily in the form of pacing, occurred for ~17–20% of their monthly
activity, as opposed to ~3% or less of their monthly activity outside of these months. Stereotypies in
captive bears, and more generally, in carnivores have been argued to have an appetitive function,
related to their natural foraging behavior [
36
,
37
]. Captive bears are known to exhibit some of the
highest levels of stereotypies, which have been directly correlated with home-range size, and with
zoo-housed polar bears having some of the highest frequency of stereotypies and largest home-range
sizes for any zoo-housed carnivore [
56
]. It is likely that the low level of stereotypic activity for the
bears in this study was related to being fed multiple times a day (2 or 3 times) and an environmental
enrichment program directed at reducing this suite of behaviors, which have both been associated
with lower levels of stereotypies in bears [24,26].
The emergence of stereotypies from May–July for zoo-housed bears may be less clear, however;
it coincides with the breeding season for grizzly bears when, typically, wild grizzlies would be foraging
less [
57
]. Other researchers have shown a similar occurrence in a solitary zoo-housed American black
bear (Ursus americanus) [
58
]. In their study, stereotypies increased in prevalence during the months
of May through July, the pacing/circling response observed changed in form and location to areas
closer to a female brown bear exhibit, and feeding enrichment was less eective at deterring the
stereotypic activity. Carlstead and Seidensticker [
58
] were able to eectively intervene on the black
bear’s stereotypies by introducing bear odors as a form of environmental enrichment.
4.2. Daily Activity
As observed by comparing the months of January and July, the daily activity of the bears in this
study showed considerable variability that corresponded with the season. In January, the bears were
primarily inactive, increasing in activity and eventual foraging behaviors toward the largest 15:00 h
daily feed. In July, when stereotypies accounted for 17% of their monthly activity, stereotypic activity
showed two spikes: One leading to the 11:00 h feeding time, and the other increasing to the 15:00 h
feeding time. Although, as noted above, mate-seeking behavior may be causally related to the May
through July occurrence of stereotypies, the times at which these stereotypies occurred still appeared
entrained to the feeding schedules. Past research has shown similar patterns for stereotypic pacing in
zoo bears, with pacing occurring in anticipation of food events and reduced as a result of providing
multiple feeding opportunities [26,37,5961].
While the relationship between stereotypies, general activity, and feeding schedules for zoo-housed
animals is less clear, it appears that many aspects of feeding schedules and feeding enrichment directly
entrain the circadian rhythms of those captive animals. Aside from the use of multiple feedings and
environmental enrichment previously discussed, simply changing the predictability/variability of
J. Zool. Bot. Gard. 2020,110
feeding events is eective at increasing general activity and reducing abnormal behaviors, such as
stereotypies [
60
,
61
]. In addition, grizzlies will choose to engage in foraging-related activity over freely
distributed feeding opportunities (i.e., contrafreeloading) [
62
]. By attending to when events occur
both seasonally and daily, we are better suited to understand the relationship between environmental
events, species-typical behaviors, and the behavior of zoo-housed brown bears.
4.3. Captive Grizzly Bear Activity Concluded
The behavioral patterns of zoo-housed bears are related to both the ways in which those bears
are exhibited and the natural behaviors of their wild counterparts. Studying both the seasonal and
daily activity of captive bears allows us to better understand how to manage zoo-housed bears,
which includes how circannual and circadian rhythms are entrained by environmental events. Equally
so, academicians, conservationists, and researchers should look to the behavior of captive bears and
other zoo-housed animals as a means to better understand the causal factors responsible for the
behaviors they observe in the wild. Zoos provide a unique environment for the study of bears, since
direct observation or experimentation of variables related to bear behavior is otherwise dicult in the
wild. While most zoological facilities are limited by the number of individuals for any one species
housed, and care should be taken in generalizing results beyond the settings or subjects studied, such
research can be critical for fostering any animal research endeavors. Done successfully, behavioral
research conducted in zoos can produce information that directly benefits our understanding of bear
behavior, as well as how to manage those zoo-housed bears [
63
]. Mutual collaborations between
scientists and practitioners should foster new research ideas, new management techniques, and new
ways to benefit the welfare and conservation of all bears.
Author Contributions:
Conceptualization, E.J.F.; methodology, E.J.F.; software, E.J.F.; formal analysis, E.J.F.;
investigation, E.J.F.; resources, E.J.F., E.Y., and N.A.; data curation, E.J.F.; writing—original draft preparation, E.J.F.,
E.Y., and N.A.; writing—review and editing, E.J.F., E.Y., and N.A.; project administration, E.J.F. All authors have
read and agreed to the published version of the manuscript.
Funding:
This study was completed while the first author was funded by a National Science Foundation
Postdoctoral Fellowship in the Psychology Department at the University of Washington.
Acknowledgments:
The authors would like to thank all the Behavioral Enrichment Animal Research (BEAR)
group’s Research Assistants for help in collecting the data. The authors would also like to thank the Woodland
Park Zoo stafor making this research possible and assisting in its implementation.
Conflicts of Interest:
The authors declare no conflict of interest. The funders had no role in the design of the
study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to
the results.
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2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
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... Within their role in conservation, research, and education [29], modern zoos represent an exceptional context in which the combination of all three welfare approaches are becoming increasingly important. A literature survey has shown a variety of zoo/research center practices in bear management, ranging from not focusing on bear hibernation adaptation, keeping an unvaried bear management year-round and just letting bears flexibly respond to local environmental conditions (e.g., [30,31]); to actively supporting a manifest tendency to enter hibernation, by providing the right resources to do so (e.g., nutritionally varied food, denning spots and bedding material, e.g., [12]); to finally purposely inducing hibernation as a standard management by artificially mimicking environmental conditions (i.e., over-feeding during hyperphagia coupled with a feeding break in winter, and manipulating ambient temperature and lighting, e.g., [32,33]). Interestingly, not only the impact of each of these management practices on bear welfare has not been evaluated yet, but also the entangled relation between hibernation mechanisms and environmental triggers in wild and captive brown bears is still under investigation. ...
... Studies on bears whose management was not focused on hibernation (i.e., bears kept yearly on a regular feeding schedule) reported only a slight seasonal variability in behavior [31,50], physiology [30,50], and body mass (mentioned in [30] [Unpublished]), labelling bears as nonhibernating. Despite this, similarities with the wild hibernating conspecifics were mentioned at the physiological level, namely for insulin resistance (American black bears [30]), and creatinine, both increasing during winter season [50]. ...
... Based on previous studies [31,33,[57][58][59][60][61] an ethogram adapted to captive conditions was developed (52 behavioral patterns). For this study we evaluated a subset of 17 behavioral indicators selected to characterize seasonal phases typical of the hibernation response (such as levels of inactivity/activity and feeding behaviors) and to infer the bear motivational state (such as appetitive feeding and denning behaviors) ( Table 1). ...
Article
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In wild brown bears, likely factors triggering hibernation response to harsh environmental conditions are temperature, photoperiod, and food resources availability. In fact, constantly fed captive brown bears are described as skipping hibernation being active all year-round. Is the hibernation response so flexible and subordinate to contingencies, or else is an adaptation that, if dismissed, may negatively impact on bear well-being? This study investigates the potential hibernation response in captive brown bears under unvaried management conditions using an integrative approach simultaneously analyzing multiple animal-based variables together with environmental covariates. Data from a mid-latitude zoo revealed distinct behavioral, fecal glucocorticoids, and body condition score seasonal fluctuations, resembling natural hibernation cycles, despite constant food access. Environmental variables like photoperiod and visitor numbers significantly influenced activity levels. Bears exhibited behaviors indicative of hyperphagia and fall transition, such as appetitive feeding and denning behaviors. Hormonal analyses revealed high fecal cortisol metabolites levels during hyperphagia, suggesting physiological responses to seasonal changes. Findings underscore the importance of environmental cues and food availability in shaping zoo bear behavior and physiology. Considering that the hibernating vs. non-hibernating description might represent an oversimplification, management strategies should deal with captive bear potential need to freely express their adaptive predispositions by accommodating their natural behaviors, such as providing denning spots and adjusting diet composition as soon as typical hyperphagic and predenning behaviors emerge, ultimately enhancing their well-being.
... It has been noted that blue lights used in reverse cycle light systems may negatively impact activity and health [72]. Seasonality is evident in many captive species including African elephants (Loxodonta africana) [74], grizzly bears (Ursus arctos horribilis) [75], Rothschild's giraffes (Giraffa camelopardalis rothschildi) [76], and ring-tailed lemurs (Lemur catta) [77], and this needs to be factored in when using behavioral measures as indicators of welfare. For example, in some species, inactivity may be observed more frequently during winter due to innate hibernation behaviors [75] while other species may become more active [78]. ...
... Seasonality is evident in many captive species including African elephants (Loxodonta africana) [74], grizzly bears (Ursus arctos horribilis) [75], Rothschild's giraffes (Giraffa camelopardalis rothschildi) [76], and ring-tailed lemurs (Lemur catta) [77], and this needs to be factored in when using behavioral measures as indicators of welfare. For example, in some species, inactivity may be observed more frequently during winter due to innate hibernation behaviors [75] while other species may become more active [78]. Some animals might spend less time feeding and more time lying down during the warmer months [74]. ...
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Zoos are increasingly implementing formalized animal welfare assessment programs to allow monitoring of welfare over time, as well as to aid in resource prioritization. These programs tend to rely on assessment tools that incorporate resource-based and observational animal-focused measures. A narrative review of the literature was conducted to bring together recent studies examining welfare assessment methods in zoo animals. A summary of these methods is provided, with advantages and limitations of the approaches presented. We then highlight practical considerations with respect to implementation of these tools into practice, for example scoring schemes, weighting of criteria, and innate animal factors for consideration. It is concluded that there would be value in standardizing guidelines for development of welfare assessment tools since zoo accreditation bodies rarely prescribe these. There is also a need to develop taxon or species-specific assessment tools to complement more generic processes and more directly inform welfare management.
... Significant variations in behavior of zoo animals based on season and time of day are documented in the literature. This seasonality is evident in captive species including African elephants (Loxodonta africana) [73], Grizzly bears (Ursus Arctos Horribilis) [74], Rothschild's giraffes (Giraffa camelopardalis rothschildi) [75] and ring-tailed lemurs (Lemur catta) [76], highlighting the need for caution when using behavioral measures as indicators of welfare. For example, in some species, inactivity may be observed more frequently during winter to reflect innate hibernation behaviors [74] where other species may become more active [77]. ...
... This seasonality is evident in captive species including African elephants (Loxodonta africana) [73], Grizzly bears (Ursus Arctos Horribilis) [74], Rothschild's giraffes (Giraffa camelopardalis rothschildi) [75] and ring-tailed lemurs (Lemur catta) [76], highlighting the need for caution when using behavioral measures as indicators of welfare. For example, in some species, inactivity may be observed more frequently during winter to reflect innate hibernation behaviors [74] where other species may become more active [77]. Some animals might spend less time feeding and more time lying down during the warmer months [73]. ...
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Zoos are increasingly putting in place formalized animal welfare assessment programs to allow monitoring of welfare over time, as well as to aid in resource prioritization. These programs tend to rely on assessment tools that incorporate resource-based and observational animal- focused measures since it is rarely feasible to obtain measures of physiology in zoo-housed animals. A range of assessment tools are available which commonly have a basis in the Five Domains framework. A comprehensive review of the literature was conducted to bring together recent studies examining welfare assessment methods in zoo animals. A summary of these methods is provided with advantages and limitations of the approach es presented. We then highlight practical considerations with respect to implementation of these tools into practice, for example scoring schemes, weighting of criteria, and innate animal factors for consideration. It is concluded that would be value in standardizing guidelines for development of welfare assessment tools since zoo accreditation bodies rarely prescribe these. There is also a need to develop taxon or species- specific assessment tools to inform welfare management.
... Therefore, it has been revealed that the amount of precipitation in the autumn season is a important factor on the species. In addition, it is stated that the target species rested less than other seasons due to the heavy rainy weather in the autumn (Fernandez et al., 2020). In this context, Brown bear who daily activity varies with the onset of precipitation, rest less at noon of the day compared to other seasons (Stelmock and Dean, 1986). ...
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Background Today, the biggest threat to mammalian predators with wide distribution areas is habitats fragmentation or changing climate conditions. We aimed to reveal the habitat suitability modeling and mapping of the Brown bear, which is an important large mammal in Turkey’s borders, under change climate. The habitat suitability modelling was determined using the present (2010) and future (2040-2070-2100) chelsa climate scenarios (IPSL-CM6A-LR SSP126-SSP370-SSP585) Maxent method with the present data obtained by examining all studies on Brown bear. Then, the mapping result values for the different years and scenarios were classified as 0.5 unsuitable habitats, 0.51-0.8 suitable habitats and 0.81-1.0 most suitable habitats. Results We determined that the variables contributing to the habitat suitability model of Brown bear are annual precipitation amount, the average annual air temperature, the precipitation amount of the wettest month, the ruggedness and elevation. According to the mapping results for different years and scenarios; Brown bear have suitable habitat a minimum of 14.87% of the study area in today, 12.56% in 2040 year, 10.93% in 2070 year and 8.24% in 2100 year. According to the SSP585 climate scenario of 2100 year, the habitat suitability of the Brown bear decreases by approximately 45%. Also, the climate envelope model created with MaxEnt revealed, the change climate in the 2100 year endangered the Brown bear. Conclusion Therefore, these results will be a source of information for the sustainability of the extinction of the Brown bear, for the pre-protection of existing and potential habitats and for reducing the impact of change climate conditions. Keywords: Brown bear; Chelsa climate scenarios; Maximum Entropy; Habitat suitability modelling and mapping; Sustainability.
... This marks an important guideline in the species selection criteria, considering that alterations in these cycles can cause certain problems, not only in the animals but also in the plants, such as alterations in the immune system or changes in their morphology [36,37]. In the care and management of certain animal species where seasonal cycles are very important, being able to emulate these cycles would be essential for their well-being and behavioral development [38]. ...
Article
Full-text available
The detailed evaluation of environmental parameters can be a great tool for the optimal selection and location of vegetable species, not only in vegetable production facilities and greenhouses but also in zoological and botanical gardens, which frequently maintain delicate and exotic plant species with strict environmental requirements in immersive exhibits where conditions can vary remarkably. This study, developed at an indoor zoological garden (Biodomo—Parque de las Ciencias de Granada, Spain), evaluates a sampling protocol for the determination of seven environmental parameters: daily light integral (DLI) was determined at nine different locations of the facility using a portable Light Quantum SQ-500 sensor; air temperature, atmospheric pressure, and air relative humidity were measured using a fixed ATMOS14 sensor; and soil temperature, soil water content, and soil conductivity were determined using a fixed TEROS12 sensor. Values recorded for DLI showed statistically significant variations across the nine different sampling locations, as well as between the different months in all sampling spots. Significant variations were also detected across the 12 months of study for the rest of environmental parameters evaluated, and correlations were found between the studied parameters, with the correlation between soil and air temperature the strongest (rs = 0.758) and soil temperature significantly superior to air temperature. The methodology described in this study can be easily reproduced in similar indoor zoological and botanical facilities, increasing the knowledge of the environmental conditions, and allowing corrections that could improve species selection, location, and management.
... Resting is seen as a state of regeneration in which the organism can gain new strength for the coming challenges of activity. Life is therefore a circadian sequence of rest and activity, oscillating daily (around 24 h), seasonally or circannually [1,7,8]. To better understand the biology and natural needs of a species, these restactivity cycles have recently been increasingly studied in various mammals (for example, by [9][10][11][12]). ...
Article
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Mammals are constantly exposed to exogenous and endogenous influences that affect their behaviour and daily activity. Light and temperature, as well as anthropogenic factors such as husbandry routines, visitors, and feeding schedules are potential influences on animals in zoological gardens. In order to investigate the effects of some of these factors on animal behaviour, observational studies based on the analyses of activity budgets can be used. In this study, the daily and nightly activity budgets of six lions (Panthera leo) and five cheetahs (Acinonyx jubatus) from four EAZA institutions were investigated. Focused on the influencing factor light and feeding, we analysed these activity budgets descriptively. Behaviour was recorded and analysed during the winter months over an observation period of 14 days and 14 nights using infrared-sensitive cameras. Our results show that lions and cheetahs exhibit activity peaks at crepuscular and feeding times, regardless of husbandry. Thus, lions in captivity shift nocturnal behaviour familiar from the wild to crepuscular and diurnal times. In cheetahs, in contrast, captive and wild individuals show similar 24hr behavioural rhythms. The resting behaviour of both species is more pronounced at night, with cheetahs having a shorter overall sleep duration than lions. This study describes the results of the examined animals and is not predictive. Nevertheless, the results of this study make an important contribution to gaining knowledge about possible factors influencing the behaviour of lions and cheetahs in zoos and offer implications that could be useful for improving husbandry and management.
... The degree of exhibit naturalism might also differ across the sites. Seasonal changes in behavior have been documented in other studies of zoo bears [41,42], and seasonal changes in behaviors are well-documented in a number of bear species in the wild (see [7,13] for summaries). ...
Article
Full-text available
Long-term evaluations of whether modern zoological exhibits help to maintain variation in the behavior of zoo animals are lacking despite the hope that animals avoid falling into monotonous patterns of behavior or boredom. This study evaluated changes in behavior and habitat use over multi-year periods in nine individuals of five bear species at two zoological facilities. Behavioral data gathered over months to years were analyzed graphically for trends in the direction of change. The habitat use dynamics were assessed graphically by looking for trends in the entropy values over time. We found that the activity budgets remained diverse and were dynamic over time, more so in younger compared to older bears. Changes in behavior suggesting positive welfare were observed, while changes that may reflect declining welfare seemed more likely to be due to age or seasonality. The observed behavioral changes suggest that the bears did not become bored with their habitats; there was likely one to several hours of daily variation in behavior, and stereotypy was rare. The diversity in the habitat use decreased over time as the animals settled into patterns of use reflecting preferences for certain areas of their habitats.
Thesis
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The polar bear (Ursus maritimus) serves as a flagship species in zoological institutions, contributing to both indirect and potential future direct conservation efforts. However, concerns over the welfare of these bears in captivity have been raised, and contemporary initiatives soon require institutions to evaluate and monitor welfare through evidence-based welfare assessment tools. The overall objective of this PhD study was to therefore to commence the development of a welfare assessment protocol for zoo-housed polar bears, focusing on the appropriate behaviour welfare principle of the Welfare Quality® framework. In a critical review of scientific publications, several potential animal-based welfare indicators were found. Based on content, construct and criterion validity, only limited evidence of validity was established for the indicators, with abnormal repetitive behaviour being the only thoroughly validated behavioural indicator. The identified gaps in knowledge encouraged the remaining parts of this PhD study, concerning developing and validating indicators within the welfare criteria of ‘positive emotional state’, ‘expression of species-specific normal behaviour’ and ‘appropriate social environment’. To enable inference of the emotional state, a fixed-term Qualitative Behaviour Assessment (QBA) list was developed, of which validity and short-term consistency was investigated. QBA was carried out on 22 polar bears housed in nine zoos in Denmark, Germany, The Netherlands and France, concurrent with collection of several behavioural, postural and health-related indicators. Two components were extracted through Principal Component Analysis (PCA) and coined as Valence and Arousal, which displayed evidence of construct validity (both convergent and divergent) through meaningful significant associations of component scores to the other animal-based welfare indicators. Positive association of valence scores was found to behavioural diversity, environmental interaction, rest and negative significant associations was found to abnormal repetitive behaviour and activity level. Arousal scores showed significant positive associations to abnormal repetitive behaviour, environmental interaction and activity level as well as a negative association with awake inactivity. The valence scores of the QBA was moreover found to be consistent within and between days (short term), useful for feasibility of future assessments. In the same study population, behavioural diversity, based on the Shannon Index (H), was assessed for its potential use in polar bear welfare assessment concerning the criterion relating to species- appropriate behaviour. Behavioural diversity showed both construct (convergent) validity through association with QBA valence scores, and construct (divergent) validity with time spent engaged in abnormal repetitive behaviour. However, several caveats of this index persist, and the behavioural diversity index should not be treated as an independent or fully validated indicator. Lastly, the effect of the social environment on polar bear welfare is of current focus, yet no immediate measure to assess this has been developed. Potential indices for monitoring social dynamics were therefore investigated, along with the effects of these relationships on welfare, assessed through associations to other welfare indicators. Potential dyadic factors explaining variation in social qualities were moreover investigated. The social environment of the same study population of polar bears (excluding solitary housed bears and a mother-cub dyad), was investigated through PCA of multiple diverse social parameters, as well as through existing social indices used for other species. Three components were found explaining dyadic relationships labelled Value, Security and Incompatibility, and useful social indices capturing information on the social environment were identified, along with a proxy measure (inter-individual proximity) for feasibility. Relatedness was found to be significantly associated with positive dyadic relationships, and bears in positive relationships was significantly less engaged in awake inactivity compared to other bears, assessed through the adapted social indices. Although no clear-cut relationship between the social environment and welfare was found, the proposed indices may prove useful for monitoring social dynamics, which is imperative in socially housed polar bears. The generated novel knowledge and indicators were compiled into an adapted welfare framework based on Welfare Quality® and the 24/7 approach, serving as a prototype welfare assessment protocol for zoo-housed polar bears. The protocol highlights current indicators, scoring schemes, gaps in knowledge and future perspectives, and may serve as a starting point for protocol development, important for the care, management and conservation efforts of this vulnerable species.
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Modern zoos strive to educate visitors about zoo animals and their wild counterparts’ conservation needs while fostering appreciation for wildlife in general. This research review examines how zoos influence those who visit them. Much of the research to-date examines zoo visitors’ behaviors and perceptions in relation to specific exhibits, animals, and/or programs. In general, visitors have more positive perceptions and behaviors about zoos, their animals, and conservation initiatives the more they interact with animals, naturalistic exhibits, and zoo programming/staff. Furthermore, zoo visitors are receptive to conservation messaging and initiatives at zoos and are more likely to participate in on-site conservation opportunities as opposed to after their visits. The research also suggests that repeat visitors are even more inclined to seek out conservation efforts compared to those visiting zoos for the first time. While current research suggests that repeat visitors are more likely to engage in conservation efforts, little is known about causal factors related to such findings, and almost no research exists to-date comparing the conservation efforts of visitors vs. non-visitors. This latter comparison will likely play a greater role in future zoo visitor research, since it poses one of the most important metrics for evaluating the specific effects visiting a zoo can have on people engaging in conservation efforts in general.
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Hibernation has been a key area of research for several decades, essentially in small mammals in the laboratory, yet we know very little about what triggers or ends it in the wild. Do climatic factors, an internal biological clock, or physiological processes dominate? Using state-of-the-art tracking and monitoring technology on fourteen free-ranging brown bears over three winters, we recorded movement, heart rate (HR), heart rate variability (HRV), body temperature (T b ), physical activity, ambient temperature (T A ), and snow depth to identify the drivers of the start and end of hibernation. We used behavioral change point analyses to estimate the start and end of hibernation and convergent cross mapping to identify the causal interactions between the ecological and physiological variables over time. To our knowledge, we have built the first chronology of both ecological and physiological events from before the start to the end of hibernation in the field. Activity, HR, and T b started to drop slowly several weeks before den entry. Bears entered the den when snow arrived and when ambient temperature reached 0 °C. HRV, taken as a proxy of sympathetic nervous system activity, dropped dramatically once the bear entered the den. This indirectly suggests that denning is tightly coupled to metabolic suppression. During arousal, the unexpected early rise in T b (two months before den exit) was driven by T A , but was independent of HRV. The difference between T b and T A decreased gradually suggesting that bears were not thermoconforming. HRV increased only three weeks before exit, indicating that late activation of the sympathetic nervous system likely finalized restoration of euthermic metabolism. Interestingly, it was not until T A reached the presumed lower critical temperature, likely indicating that the bears were seeking thermoneutrality, that they exited the den. We conclude that brown bear hibernation was initiated primarily by environmental cues, but terminated by physiological cues.
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Building Ethical Arks.- Defining Animal Welfare.- Welfare Metrics Applied.- Wellness as Welfare.- Psychology & Animal Welfare.- Environmental Enrichment.- Behavior Analysis & Training.- Designing for Animal Welfare.- Launching Ethical Ark.- References.
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