|
The
Response of Predators to an Erupting Bison, Bison bison
athabascae, Population
Nicholas C. Larter 1.3,
Anthony R. E. Sinclair 1, and C. Cormack Gates 2
1
The Ecology Group
Department of Zoology
6270 University Boulevard
University of British Columbia
Vancouver, British Columbia
V6T IZ4
2
Department of Renewable Resources
P.O. Box 390
Fort Smith, Northwest Territories
XOE OPO
Current address:
Department of Renewable Resources
Bag Service # I
Inuvik, Northwest Territories
XOE OTO
Larter, Nicholas C., Anthony R. E.
Sinclair, and C. Cormack Gates. 1994. The response of predators to
an erupting Bison. Bison bison athabascae. population.
Summary
During the past 20 years Bison (Bison bison athabascae) numbers
have increased and Moose (Alces alces) numbers appear to have
decreased within the Mackenzie Bison Sanctuary. In adjacent
peripheral areas near Mink Lake Moose densities were twice that in
the Mackenzie Bison Sanctuary. Wolf (Canis lupus) activity
was greater in the Mackenzie Bison Sanctuary than in the Mink Lake
area. Although Bison made up a larger proportion of the Wolf diet
(based upon scat analysis) in the Mackenzie Bison Sanctuary than in
the Mink Lake area, Moose made up a significantly greater
(P<O.OO1) proportion of the Wolf diet than expected given the
availability of prey biomass in both the Mackenzie Bison Sanctuary
and Mink Lake areas. Given that Moose made up a similar proportion
of the diet in both areas, and that there was a two-fold difference
in Moose densities between area, Wolf predation may be destabilizing
and exacerbating the decline in Moose numbers.
Key Words: Bison, Bison bison
athabascae, population eruption, Moose, Alces alces, Wolves,
Canis lupus, Mackenzie Bison Sanctuary, Northwest
Territories.
Reprinted from Canadian
Field-Naturalist 108(3): 318-327.
The Response of Predators to an
Erupting Bison, Bison bison athabascae, Population
Bison (Bison bison athabascae as defined by Van Zyll de long
(1986) but see Geist 1992 for a contrasting view on the validity of
subspecies in Bison) were reintroduced into the Mackenzie Bison
Sanctuary in 1963. The population has increased rapidly (Gates and
Larter 1990) and the current population eruption has followed the
dynamics predicted by the Caughley-Riney four-stage equilibrium
model (Riney 1964; Caughley 1970) despite the presence of Wolf (Canis
lupus) predation (Larter 1994). This four-stage equilibrium
model predicts that an erupting ungulate population will go through
four stages; (1) a progressive increase in population size in
response to the disparity between the number of animals present and
the carrying capacity of the environment, (2) a levelling off in
animal numbers in response to decreasing forage availability, (3) a
decline in numbers because the population has increased beyond the
carrying capacity of the environment, and (4) a phase of relative
stability with population density remaining lower than peak density
because the carrying capacity of the environment has been reduced by
the impact of peak population density. As the population passes
through the four stages, food supplies are reduced and the plant
community becomes increasingly dominated by more unpalatable species
in response to increased grazing intensity. Beyond documenting that
this model's predictions appear to hold for an indigenous ungulate
population in the presence of predators, further important questions
arise regarding the response of the Wolf population to an increasing
prey base. Do Wolf numbers increase in response to the increasing
abundance of Bison? If Wolf numbers increased, what impact could
this have on the Bison population, and on Moose (Alces alces), the
only other ungulate prey population in this study area? Gates and
Larter (1990) proposed that an increasing Bison population in the
Mackenzie Bison Sanctuary and adjacent areas, may not be diverting
Wolf predation from Moose and Caribou by providing a substantial
alternate prey source; rather it could be increasing it by
maintaining high Wolf populations capable of depleting the more
vulnerable prey populations.
In systems where there is an
alternate prey source and prey switching occurs, it is theoretically
possible for predation rate to be either directly density-dependent
or inversely density-dependent over all densities (Ricklefs 1979).
Inverse density-dependent predation rates occur when predation rate
increases while prey density decreases, a situation that could be
destabilizing and potentially drive a prey population to extinction.
The vulnerability of the primary
prey relative to an alternate prey determines the impact of
predation on the abundance of primary prey (Messier 1993). Jarman
and Johnson (1977) suggested that the decline in introduced hare (Lepus
europaeus) and native rat kangaroo (Aepyprymnus spp.)
population in Australia may have been a result of introduced fox (Vulpes
vulpes) populations being sustained by rabbits (Oryctolagus
cuniculus). Consequently foxes may have been able to eliminate a
less numerous and more catchable prey. A similar situation was
described in England where fox numbers were being maintained by
rabbits at numbers high enough to significantly reduce breeding
densities of Gray Partridge (Perdix perdix) (J. Reynolds,
personal communication). Rock-wallaby (Petrogale lateralis) populations
in Western Australia are being decimated by fox predation (Kinnear
et al. 1988), because fox numbers are being kept high by a
substantial rabbit population.
In some areas of western North
America, Moose are the principal prey of Wolves which can remain at
high enough population levels to deplete Caribou (Rangifer
tarandus) populations. Seip (1992) documented that a Woodland
Caribou (R, t. caribou) population separated from Wolves and
Moose during summer, and therefore less vulnerable to Wolf
predation, had a lower adult mortality rate and higher calf survival
than a similar Woodland Caribou population that was not spatially
separated from Wolves and Moose. He believed that because the Wolf
population was sustained primarily by Moose, the latter Caribou
population could potentially be extirpated.
We hypothesize that predators are
capable of utilizing both Moose and Bison in this system, and that
Wolf numbers have increased in response to increasing Bison numbers.
we predict that over a range of Moose densities Wolves will continue
to utilize Moose to a greater extent than expected given Moose and
Bison availabilities thus providing the potential for local
extinctions of Moose populations.
In this paper we examine
Wolf-Bison-Moose dynamics in two areas by comparing Wolf diet, Wolf
abundance, relative prey abundance and available prey biomass to
test whether Wolf predation on Moose, in the presence of Bison, can
act in a destabilizing and inversely density-dependent fashion.
Because areas that have been proposed for future Bison
reintroductions have low densities of Moose and Wolves, and a
subsistence Moose harvest, knowledge of Wolf-Bison-Moose dynamics is
becoming increasingly important.
Materials and Methods
Study area
In 1963, eighteen Bison
were released into an unpopulated area of their historic range on
the western side of Great Slave Lake (61030' N, 117°00'
W) in the Northwest Territories of Canada. The population increased
in an eruptive fashion (Calef 1984), and Bison now inhabit an area
exceeding 9000 km2 (Larter and Gates 1994). Recently, the
population split into two distinct subpopulations: the Mackenzie
subpopulation (MBS) inhabiting the core of the range and the
Mackenzie Bison Sanctuary proper, and the Mink Lake subpopulation
(ML) inhabiting the more peripheral areas of the range, the Mink
Lake area northwest of the Sanctuary. The study area is located in
the Upper Mackenzie Section of the Boreal Forest Region (Rowe 1972)
in the emerged bed of a once vast glacial lake. The undulating
topography is dominated by forested habitats which include
coniferous forests of Black Spruce (Picea mariana), White
Spruce (P. glauca), Jack Pine (Pinus banksiana), and
Larch (Larix laricina), and mixed deciduous- coniferous
forests of White Spruce, Trembling Aspen (Populus tremuloides), and
Balsam Poplar (P. balsamifera). Shallow lakebeds are widely
dispersed throughout the area. These lakebeds are gradually filling
in with sedges and grasses, while woody plants, notably willows (Salix
spp.), are invading these lakebeds and provide most of the
forage used by Bison, but represent <6% of the study area (Larter
and Gates 1991a; Matthews 1991).
Predator Abundance/Activity
We calculated indices of
Wolf abundance in both areas (MBS and ML) using two techniques:
track counts and visual observations. Track count lines were
established during winter 1989-1990 and consisted of three, 1 km
transects along seismographic survey lines in each area. The start
and end points of each transect were flagged for identification and
track counts were made on them throughout the winter when conditions
permitted. The number of track lines was increased to five and the
transect length increased to 3 km during winter 1991-1992 because of
the number of zero counts during 1989- 1990. No data were collected
during winter 1990- 1991. Data were collected during three winter
periods: early (November), mid- (February), and late- winter
(March-April). A track-day was defined as a 24-hour period when all
new tracks along the trail were made within the preceding 24-hours.
Because there were different numbers of successful track- days
between areas, all data were expressed as number of tracks counted
per track-day. Because of reduced sample size we combined
track-day data from the two winters, and used a square root
transformation to normalize the data. The Student's t-test was used
to determine if there were differences- in the number of
tracks/track-day between areas.
Wolves were observed during 25
hours of aerial reconnaissance, and ground-based travel throughout
the study area. Abundance indices for both areas were calculated as
the number of Wolves observed per day of field work, or the number
of Wolves observed per flight-hour.
Prey Abundance and Availability
Population estimates for
Bison were usually conducted on a biannual basis during 1963-1992.
Prior the 1989 a total count technique was used. This was changed to
a stratified strip transect technique ion 1989. Sex age composition
surveys were conducted the yearly from 1985-1992 (Gates et al.
1991). Because of logistic problems with the 1992 census, we used
the 1989 survey data to estimate numbers of animals in the different
sex and age classes. We multiplied the numbers of each sex and age
class by a winter weight estimate to determine available Bison
biomass. Winter weight estimates for Bison were: calves 200 kg,
yearlings 360 kg, adult females 590 kg, and adult males 850 kg (Larter
and Gates 1990; Gates unpublished data).
Aerial transect surveys for Moose
were conducted just in the Mackenzie Bison Sanctuary in February
1965 and December 1971 (Department are Renewable Resources,
Government of the Northwest Territories unpublished data). The
number of Moose are observed per kilometre of transect was
determined. In April 1987 while conducting the Bison census
of the Mackenzie Bison Sanctuary and Mink Lake area we also
calculated the number of Moose observed per kilometre of transect.
During November 199l a random stratified survey (Gasaway et al.
1986) was conducted to estimate Moose densities in both areas (Shank
1992).
Additional indices of abundance
were collected, from aerial- and ground-based reconnaissance of
study area by personnel during 1986 to 1992. The ground-based index
was calculated as the number of Moose observed per day of field
work.. For convenience, this was then converted into Moose observed
per week of field work. The aerial based index was calculated as the
number of Moose observed per flight-hour.
Available biomass of Moose was
estimated as for Bison. We used Moose sex/age ratios and population
estimates collected during the 1991 census (Shank 1992). Weight
estimates for Moose were: calves 160 kg, yearlings 240 kg, adult
females 350 kg, and adult males 453 kg (Blood et al. 1967; Ritcey
1974; Banfield 1977; Saether 1985).
Wolf Scat Analysis
Wolf scats were collected
opportunistically throughout the course of the study. Scats found
near Wolf kills were not collected because they could test bias the
data set. Scats collected in winter were kept in frozen, while scats
collected in summer were dried prior to preparation for laboratory
analysis followed Kennedy and Carbyn (1981). Bone fragments, hair,
and feather characteristics were used to determine the prey item(s)
present in scats.
We compared the presence of prey
items in Wolf scats between study areas during winter and between
seasons, for the Mackenzie Bison Sanctuary (MBS) area only, using
the proportion test (Zar 1984 ). Small sample size precluded
comparing seasonal differences for the Mink Lake (ML) area. We
calculated available prey biomass (Bison and Moose) for each area
(see Prey Abundance and Availability). We used the log-likelihood
ratio (G-test, Zar 1984) to compare the frequency of scats
containing the different prey items with that available (live
biomass ) in each area.
We estimated relative amounts of
Bison and Moose consumed following the relationship described by
Floyd et al. (1978).
y = 0.38 + 0.02x
where: y = kg of prey/collectible scat
x = the average weight of individuals of each prey type.
We estimated x for each prey in
each area by determining the proportion of juveniles and adults
killed based on Wolf kill data, and multiplying that proportion by
the average weight of juveniles and adults. Juvenile weights are an
average of calf and yearling weights and adult weights are an
average of male and female weights. We calculated y for each prey,
and multiplied y by the number of scats in which the prey items
occurred. We multiplied by frequency of scats because the majority
of scats (77%) contained only one major prey item (either Bison or
Moose). This calculation was done for each area and the relative
amounts of each prey species was expressed as a ratio of kg of Bison
consumed per kg of Moose.
Wolf Kills
\Wolf kills were located
opportunistically by ground-based and aerial reconnaissance.
Whenever possible, kills located from the air were verified by
ground observations. Evidence that an animal was killed by Wolves
included obvious chase sequences in the snow and/or signs of
struggle before death (i.e. extensive blood covered vegetation or
snow, and broken vegetation). The sex/age class and species of prey
were determined by physical examination.
Results
Predator
Abundance/Activity
Overall, Wolf activity was greater in the Mackenzie Bison Sanctuary
(MBS) than in the Mink Lake (ML) area during all three periods of
the winter (Table 1). Differences between areas were not significant
when compared at anyone sampling period (P = 0.063, t = 1.58, early
winter; p = 0.65, t = - 0.40, mid-winter; p = 0.37, t = 0.33, late
winter). However, when the data were lumped across the entire winter
the difference became significant: 0.43 and 0.21 mean
tracks/track-day in MBS and ML respectively (P = 0.021, t = 2.07).
TABLE I. Comparative Wolf activity
(tracks/track-day) between the Mackenzie Bison Sanctuary and Mink
Lake area during three winter periods: early (November), mid
(February), and late (March-April). The number in parentheses is the
number of track days used to calculate tracks/track-day. **
indicates significance between areas at p < 0.05, * indicates
significance at p <0 .1.
|
Winter |
|
Area |
Early |
Mid |
Late |
Lumped |
|
MBS |
0.65 (17)* |
0.09 (11) |
0.43 (37) |
0.43 (65)** |
|
ML |
0.23 (26)* |
0.14 (30) |
0.27 (22) |
0.21 (78)** |
Ground-based and aerial
observations showed a similar pattern to the track count data, but
with greater disparity between areas. The aerial-based index of
abundance was twice as high in MBS than ML averaging 2.2 Wolves
observed/flight hour (n= 16.5 flight hours) versus 1.2 (n=8.5 flight
hours), respectively. The ground-based index was four times as high
in MBS than ML averaging.0.31 Wolves observed/field day (n = 571
field days) versus 0.07 (n = 133 field days) respectively.
Prey Abundance
There were approximately
three times as many Bison in MBS as at ML (1885 and 546
respectively). When these data were converted from individuals
observed to number of groups (or search items) counted, there were
138 Bison versus 79 Moose groups and 48 Bison versus 190 Moose
groups in the MBS and at ML respectively. The estimated available
biomass of Bison per total area was 1106 tonnes for MBS (4563 km2
area) and 343 tonnes for ML (3500 km2 area) (Figure 2A).
The 1965 and 1971 transect surveys
for Moose in the MBS gave similar results: 87 Moose along 1834 km of
transect, and 82 Moose along 1496 km of transect respectively. In
1987, one Moose was observed in ML on 1075 km of transect covering
both the MBS and ML. Moose densities in 1992 were 0.12 and 0.25/km2
in MBS and ML respectively (Shank 1992). Abundance indices based
upon ground and aerial reconnaissance data from 1986-1992 also
indicated lower Moose numbers in MBS relative to ML: 0.21 Moose
observed/field week (n =46.7 field weeks) versus 0.63 (n = 14.3
field weeks) respectively, and 0.9 Moose observed/flight hour (n =
30.9 flight hours) versus 1.6 (n = 11.5 flight hours) respectively.
The estimated available Moose biomass was 46 tonnes for MBS (4563 km2
area) and 91 tonnes for ML (3500 km2 area) (Figure
2A).
Predator DietAlthough
Bison and Moose made up a large proportion of the diet, small
mammals including mice (Cricetidae), Snowshoe Hare (Lepus americanus),
and birds (both Gallinaceous and waterfowl) were also consumed. The
number of scats containing Bison and Moose was equal in ML during
winter. In MBS, Bison was present in more scats than Moose (Figure
3). The proportion of scats from MBS containing Moose and Bison was
similar (P>O.2) between sea- sons (Z = 0.93 for Moose, Z =
0.09 for Bison, snow free=summer, snow cover=winter). During winter
the proportion of scats containing Bison was greater in MBS than
that at ML (P<O.05, Z = 2.91); there was no difference in
the proportion of scats containing Moose (P>0.3, Z =
-0.58). Insufficient sample size prevented the seasonal comparison
of scats found in ML. The number of scats containing Moose was
significantly greater than that expected given the available biomass
of Moose and Bison in both ML and MBS (G = 340.0 ML, G = 1624.3 MBS,
P<0.001) (Figure 3). Wolves consumed 1.62 kg of Bison per
1 kg of Moose in MBS, compared to 1.17 kg of Bison per 1 kg of Moose
in ML.
Forty-one of 46 documented Wolf
kills were Bison. Of the 41 Bison kills, 31 were juveniles: 26
calves and 5 yearlings (Figure 4). The greater proportion of Bison,
especially juveniles, in Wolf kills was more pronounced in MBS.
Moose made up a larger proportion of kills at ML than at MBS (Figure
4)


FIGURE 2. (A) Available Bison and
Moose biomass in the Mackenzie Bison Sanctuary and Mink Lake area,
(B) frequency of occurrence of Bison and Moose in Wolf scats (during
winter) in the Mackenzie Bison Sanctuary and Mink Lake area. n =
total number of scats.



Prey Type
Figure 3. Percent frequency occurrence of various prey items found in Wolf
scats during different seasons and in different areas. Values above
histograms are the number of occurrences. n=number of scats.
Discussion
Whether Moose numbers have
declined over th entire study area from 1971 to the present is
debatable. The crude line transect surveys do not provide estimates
of Moose density, and any density estimates derived from them would
be underestimate (Gasaway et al. 1986). However, local hunters
maintain that Moose numbers were historically much higher in the MBS
in the early 1970s, and the actual numbers observed during line
transect surveys in the MBS do show a decline. Currently Moose
number and density are lower in MBS than ML, and likely have been
since 1986. Bison numbers have been increasing since the 1963
reintroduction. The increase has most likely had a greater potential
impact on Moose in MBS than ML based upon total numbers of resident
Bison and the length of time Bison have been resident in the two
areas. Decreased Moose densities could have resulted from completion
between Moose and Bison for food resource changes in habitat, or
Wolf predation.
Competition for food resources is
unlikely. Moose are concentrate selectors (Hofmann 1989) with die
dominated by browse species like willow, aspen, and Paper Birch (Betula
papyrifera) (Belovsky 197: Peek 1974; Risenhoover 1989). In
contrast, Bison are classic grass/roughage eaters (Hofmann 1984 with
diets dominated by graminoids (Reynolds et al. 1978; Larter and
Gates 1991a, 199Ib). During fall (September-October) Bison in the
MSB also utilize, lichen (Larter and Gates 1991a, 199Ib). In
exceptionally dry summers, when grass and sedge productivity is
reduced, Bison have foraged on willow (Larter and Gates 199Ia), but
they rarely foraged willow during winter. Consequently, any dietary
overlap would be limited in duration and occur during the growing
season when forage quality and quantity are highest.
Habitat changes resulting in
decreased willow cover could cause declines in Moose numbers. Aerial
photos indicate that over the past 30 years, willows have invaded
dry meadow communities and willow cover has actually increased,
although some of the willow cover may have grown out of reach for
Moose browsing. Fires have occurred more recently in ML than MBS,
but have been infrequent during the past 30 years. It is unlikely
that habitat changes causing a reduction in browse availability are
responsible for declining Moose numbers. Predation remains an
alternate possibility.
Wolves have historically been
present in the area (Wood Bison Recovery Team 1988; A. Look,
personal communication). Local residents believe that Wolf numbers
are on the rise, but unfortunately there are no data on Wolf numbers
during most of this time period. Messier and Crete (1985) have
provided the best evidence of Wolves regulating their prey
population. They documented Wolf predation over a range of Moose
densities, and concluded that
Wolf predation acted in a
density-dependent fashion. They found at low densities of 0.22 and
0.17 Moose/km2, Wolves were capable of regulating Moose
populations. However, at densities around 0.40 Moose/km2,
Moose numbers appear to be regulated by food. On Isle Royale, Moose
numbers were regulated by food even in the presence of Wolves, and
Moose densities have fluctuated between 1.6 to 2.8 Moose/km2
(from Peterson 1977, 1992). Messier (1991) estimated that
competition for food had a regulatory effect on Moose density on
Isle Royale when densities were between 1-2 Moose/km2. Crête
(1989) estimated that densities greater than 2.0 Moose/km2
were required if carrying capacity (K) (Macnab 1985) was to be
reached in eastern Quebec. Messier (1984) suggested that a density
of 0.2 Moose/km2 approximated a threshold below which
Wolf packs cannot subsist without an alternate ungulate prey
species. Current Moose densities in the MBS are 0.12 Moose/km2
(Shank 1992); i.e., below Messier's (1984, 1993) threshold.
Wolf predation on Moose can
represent a destabilizing influence which can potentially exacerbate
a Moose decline because of its antiregulatory effect (Messier 1991).
Additionally, Wolf predation has a greater impact on Moose
populations when the Moose population is declining (Gasaway et al.
1983). Our data support the contention that Wolf predation on Moose
is destabilizing, because in areas of both low and high Moose
density, predation on Moose is greater than expected given the
available prey biomass.
Moose remains were found in
significantly more Wolf scats than would be expected given the
availability of Moose and Bison biomass in the study area (Figure
2). This was not the case for Wolf kills. The proportions of Bison
to Moose kills (Figure 4) were similar to that expected given prey
availability (Figure 2A). The difference between data sets may be an
artefact of sampling methodology. The majority of ground-based
travel was through open habitat patches and along travel corridors
that connect these open habitat patches. Consequently. travel was
concentrated in Bison habitats as opposed to Moose habitat. Wolf
kills were generally found by ground-based travel and were much
easier to spot in the more open habitats where travel was
concentrated. Sightability of animals and kills in forested habitats
is restricted (Larter 1988).
Wolf scats were found
opportunistically, were not collected from recent kill sites, and
likely represent a less biased sample of Wolf diet composition than
kill data. Estimates, derived from wolf scats, of the relative
amounts of each prey item consumed were 1.62 kg Bison per 1 kg Moose
in MBS and 1.17kg Bison per 1 kg Moose in ML. Given that the
available biomass of Bison is 23.8 times that of Moose in MBS and
3.8 times that in ML, these data further indicate Moose as the
preferred prey item.
Bison and Moose are the two
largest species of North American ungulates. The typical attack
success of Wolves ranges from 5% on larger prey (Haber 1977) to 40%
on smaller ungulates (Kolenosky 1972). Given a choice, Wolves
exhibit a preference for moderate size prey species (Murie 1944;
Mech and Frenzel1971; Van Ballenberghe et al. 1975; Carbyn 1983).
Only juvenile Moose and Bison are small, and the smaller size of
Moose compared to Bison may affect prey preference.
The spatial distribution of prey
can alter the effective search of Wolves and, regardless of prey
preference, may affect prey selectivity (Huggard 1991 ; 1993).
Clumping of prey means a lower effective search because the group,
not the individual, represents a search item (Taylor 1979; Huggard
1991). Bison are gregarious, spending much of the year in large
groups dominated by females, calves, and immature animals (Larter
1988). Moose are relatively solitary animals (Geist 1963; Banfield
1977). Consequently even though available prey biomass is skewed
highly toward Bison, the actual number of search items may be closer
to parity. When our census data were converted from individuals to
the number of search items this was the case. However, there is some
evidence that hunting success is decreased for predators that stalk
groups rather than solitary prey (Van Orsdol 1984), and Moose tend
to be well dispersed, spatially predictable, and always part of a
year-long prey base (Messier 1993) therefore, Moose may be a more
vulnerable and selected prey than Bison regardless of the number of
search items.
Selectivity by the predator,
especially in regard to the sex/age classes of the different species
which they prefer to attack, can shape the prey populations in
different ways (Huggard 1991; Mills and Shenk1992). Consequently
predation may affect Bison and Moose populations quite differently.
Our data are limited, but the majority of Bison killed by Wolves
were juveniles, whereas the majority of Moose killed were adults. If
adults are taken in a greater proportion than juveniles, predation
will have a greater impact on the prey population because it
directly influences fecundity and mortality.
Wolves do not remain in areas of
high prey density, they travel frequently throughout their territory
(Carbyn 1983). Wolves preying upon
Bison in Wood Buffalo National Park (WBNP) have a long average
distance between kills suggesting that they must travel frequently
between herds for kills. Although previously attacked Bison herds
are more alert Wolves will occasionally follow these herds (Oosenbrug
and Carbyn 1985). Wolves may be more successful when they encounter
large herds because in of the higher probability of finding weak or
vulnerable individuals, however vulnerability does not necessarily
imply weaker or sick individuals.
Wolves attack Bison herds with
calves preferentially over herds without calves (Carbyn and
Trottier1987). This preference for juveniles and especially calves
would be expected because calves are generally bit a slower, less
dangerous and more inexperienced with predators. Calves are easier
to kill than adults (Carbyn and Trot tier 1988), however, adult
Bison and are still taken. Van Camp (1987) found that in the Slave
River Lowlands (SRL) adjacent to WBNP five packs of Wolves killed
and consumed 15 adult (13 females and 2 males) and four calves
duriing a nine-week period in late winter.
Calf remains in scats are
indistinguishable from other age classes after three months because
calves lose their red pelage. Therefore any scats collected in
winter provide no information upon whether the prey was juvenile or
adult. However, 26 of 41 Bison killed by Wolves were calves.
Radio-collared Bison and sequential cow:calf ratios from the study
area (Larter 1994) indicate that Bison calves are preyed upon
year-round, but predation pressure may increase during the summer on
newborn individuals. Sequential adult female:calf ratios during
summer 1991 in the MBS show a decline between June and August: 46.7 +
6.7 to 36.8 +11.7 calves: 100 adult females. During summer
radio-collared calves were lost to Wolf predation at a rate of 1
calf/153 collar-days, but during winter the rate decreased to I
calf/354 collar-days (Larter, unpublished data). The possible
preference for more vulnerable newborn and Bison calves as prey
during summer may have important consequences for juvenile Wolf
survival. It is during summer that pups are being reared and
foraging radius is reduced.
Hunting success of Wolves
generally increases in deep snow (Kolenosky 1972; Haber 1977)
because deep snow hinders ungulate movements. Snow depths of 50-55
cm hinder Bison calves (Van Camp 1975), whereas depths of 80-84 cm
are required to hinder Moose calves (Kelsall 1969). Adult Bison can
still successfully forage at snow depths of 75-85 cm and snow
densities of up to 0.2 g/cm3 (Van Camp 1975), while adult
Moose movements become hindered at 98-105 cm (Kelsall 1969). Snow
levels in the study area commonly reach 50 cm by mid-winter (Larter
1988; Larter and Gates 1991a), but rarely reach 80 cm. The greatest
depth recorded was 82 cm during late winter 1991. Therefore, Bison
calves should be the most susceptible prey item during winter. Bison
calves made up a larger proportion of Wolf kills than any other prey
class (species, sex, and age).
If the Wolf population has been
increasing in response to an increasing alternate prey base, then
the probability of a random encounter with Moose also increases,
Travel between open habitat patches (Bison habitat) necessitates
travel through forested Moose habitat. If a pack of Wolves
encountered Moose while actively searching for Bison it is unlikely
that they would pass up the opportunity to attempt a kill,
especially when the likelihood of success is higher.
In order to critically evaluate
whether Wolf predation on Moose is acting in an inverse
density-dependent manner it would be necessary to have a measure of
Wolf numbers (i.e., the numerical response), and a measure of
killing rate per predator (i.e., the functional response). Our data
do not provide these definitive measurements, however they do
provide a comparison of Wolf activity, prey abundance, and Wolf diet
composition between two areas. The index of Wolf abundance (Wolf
activity) is different between areas and consequently can be
considered as an estimate of the numerical response of Wolves to an
increasing Bison population over time. The Wolf diet composition in
conjunction with prey (both Moose and Bison) abundance could be
thought of as providing a crude estimate of the functional response.
Since the frequency of Moose remains occurring in Wolf scats is
similar between areas, while the availability of Moose is lower in
the high Wolf density area, Wolf predation on Moose is potentially
increasing as the Moose population declines. This situation could
produce an inverse density-dependent relationship.
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