Resilience and Conservation of Large Carnivores
in the Rocky Mountains
JOHN L. WEAVER,* PAUL C. PAQUET,t AND LEONARD F. RUGGIERO~:
.*Northern Rockies Conservation Cooperative, Box 8594, Missoula, MT 59807, U.S.A.
l Department of Biology and Faculty of Environmental Design, University of Calgary, 2500 University Drive, N.W.,
Calgary, Alberta T2N 1N4, Canada
tU.S. Forest Service, Intermountain Research Station, 800 East Beckwith Avenue, Missoula, MT 59812, U.S.A.
Abstract: Large carnivores evolved behaviors and life-history traits that conferred resilience to environmental disturbances at various temporal and spatial scales. We synthesize empirical information f o r each large
carnivore species in the Rocky Mountains regarding three basic mechanisms o f resilience at different hierarchical levels." (1) behavioral plasticity in foraging behavior that ameliorates f l u x in f o o d availability, (2) demographic compensation that mitigates increased exploitation, and (3) dispersal that provides functional
connectivity among fragmented populations. With their high annual productivity and dispersal capabilities,
wolves (Canis lupus) possess resiliency to modest levels o f h u m a n disturbance o f habitat and populations.
Cougars (Puma concolor) appear to have slightly less resiliency because of more specific requirements f o r
stalking habitat and lower biennial productivity. Grizzly bears (Ursus arctos horribilis) possess much less resiliency because o f their need f o r quality forage in spring and fall, their low triennial productivity, and the
strong philopatry o f female offspring to maternal home ranges. Based upon limited information, wolverines
(Gulo gulo) appear more susceptible to natural fluctuations in scavenging opportunities and m a y have lower
lifetime productivity than even grizzly bears. By accelerating the rate and expanding the scope o f disturbance, h u m a n s have undermined the resiliency mechanisms o f large carnivores and have caused widespread
declines. Both the resiliency profiles and the historical record attest to the need f o r some f o r m of refugia fi)r
large carnivores. With their productivity and dispersal capability, wolves and cougars might respond adequately to refugia that are well distributed in several units across the landscape at distances scaled to successf u l dispersal (e.g., less than five home range diameters). With their Iower productivity and dispersal capability, grizzly bears and wolverines might fare better in a landscape dominated by larger or more contiguous
refugia. Refugia must encompass the full array o f seasonal habitats needed by large carnivores and should be
connected to other refugia through landscape Hnkages.
Resistencia y Conservaci6n de Carnivoros Mayores en las Montaflas RocaUosas
La evoluci6n del comportamiento y de caracteristicas de la historia natural de los carnivoros
mayores les ha conferido resistencia a perturbaciones ambientales en varias escalas temporales y espaciales.
En este trabajo sintetizamos informaci6n empirica sobre cada especie de carnivoro mayor en las Monta~as
Rocallosas en relaci6n con tres mecanismos b~sicos de resistencia en distintos niveles jerdrquicos: (1) plasticidad conductual en la conducta del forrajeo que mejora el flujo de disponibilidad de alimento, (2) compensaci6n demogrdtfica que atendta el incremento de la explotaci6n y (3) dispersi6n que proporciona conectividad funcional a las poblaciones fragmentadas. Los lobos (Canis lupus) son resistentes a niveles moderados
de perturbaci6n h u m a n a de su habitat y poblaciones debido a su elevada productividad anual y sus capacidades de dispersi6n Los p u m a s (Puma concolor) aparentan ser ligeramente menos resistentes debido a
que tienen requerimientos de h~bitat para acechar y una productividad bianual menor. Los osos pardos (Ursus arctos horribilis) son mucho menos resistentes debido a su necesidad de forraje de calidad en la primavera y
el oto~o, su baja productividad trianual y la marcada filopatria de las hembras de la progenie por los rangos
de hogar materno. Con base en informaci6n Hmitada, los carcay~s (Gulo gukO son aparentemente m~s susResumen:
Paper submitted February 15, 1996; revised manuscript accepted April 22, 1996.
964
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Volume 10, No. 4, August 1996
Weaveret al.
Carnivore Resilience and Conservation
965
ceptible a las f l u c t u a c i o n e s naturales en las oportunidades de basqueda de alimento y p o d r i a n tener u n a productividad a lo largo de su vida a a n m e n o r a la de los osos pardos (Ursus arctos horribilis). Los h u m a n o s h a n
m i n a d o los m e c a n i s m o s de resistencia de los carnivoros mayores y provocado su declinaci6n al acelerar y exp a n d i r el alcance de las perturbaciones. Tanto los perfiles de resistencia, c o m o el registro hist6rico dan testim o n i o de la necesidad de establecer alg~n tipo de refugios p a r a carnivoros mayores. Por su productividad y
capacidad de dispersi6n, los lobos y p u m a s p u e d e n responder a d e c u a d a m e n t e en refugios bien distribuidos
en varias unidades a lo largo del paisaje, espaciados p a r a u n a dispersi6n exitosa (e.g. <5 didmetros del
rango de hogar). Debido a su m e n o r p r o d u c t i v i d a d y capacidad de dispersi6n, los osos pardos y los carcay~s
p o d r i a n estar m e j o r en un paisaje d o m i n a d o p o r refugios m d s grandes o contiguos. Los refugios deben abarcar toda la serie de hdbitats estacionales que requieran los carnivoros mayores y deben estar conectados con
otros refugios m e d i a n t e corredores en el paisaje.
Introduction
Ecological Concept of Resilience
Larger carnivore species--wolves ( C a n i s lupus), cougars
(also called mountain lions, panthers, or pumas; P u m a
concolor), wolverines ( G u l o gulo), and grizzly bears (Urs u s a r c t o s h o r r i b i l i s ) - - o n c e occurred throughout m u c h
of North America. These carnivores evolved in ecological milieus that included prevailing disturbance regimes
with certain characteristics and boundary conditions.
Disturbances varied in frequency, duration, extent, and
intensity, thereby resulting in different spatio-temporal
patterns of change (Pickett & White 1985). Behaviors
and life-history traits conferred a resilience that enabled
carnivore populations to absorb these indigenous disturbances and still persist (Karr & Freemark 1985).
Following the arrival of Europeans, however, distribution and abundance of large carnivores decreased dramatically in the wake of spreading h u m a n enterprise
(Paquet & Hackman 1995). With technological innovations, H o m o s a p i e n s became a "supra" keystone species
by accelerating the rate and expanding the scope of disturbance. Modern h u m a n activities presented n e w regimes of disturbance that could be considered "exotic"
because they w e r e qualitatively novel or quantitatively
atypical (Denslow 1985). Systematic loss of habitat and
excessive killing caused reductions in population size,
distribution, and connectivity and clearly precipitated
regional extirpations (Caughley 1994), even if stochastic
factors may have played a role in the demise of the last
individuals (Gilpin & Soul6 1986).
Successful conservation strategies for large carnivores
in the Rocky Mountains will have to incorporate scientific knowledge of h o w these species persist in the face
of different disturbances. We (1) examine the ecological
c o n c e p t of resiliency, (2) develop resiliency profiles of
these large carnivore species, and (3) consider implications for conservation. The central role of humans in the
decline of large carnivores compels researchers and
managers to incorporate the h u m a n dimension explicitly in defining the p r o b l e m and devising pragmatic conservation strategies (Paquet & Hackman 1995; Clark et
al., this issue).
Resilience has been defined as the "ability of systems to
absorb disturbance and still maintain the same relationships b e t w e e n populations or state variables" (Holling
1973:14) and "the degree to which an entity can be
changed without altering its minimal structure" (Pickett
et al. 1989:133). Resilience is the property of the system, and persistence is the outcome. Species can be
considered as nested hierarchies of individuals, populations, and metapopulations in which the higher levels
provide context for mechanisms at lower levels. Persistence is accomplished laterally by "spreading the risk"
(den Boer 1968) or vertically as a higher level in the hierarchy incorporates or absorbs disturbance at a lower
level (O'Neill et al. 1986). Because disturbances occur at
different spatial and temporal scales, no single level of
organization can respond adequately to all disturbances.
The nested structure increases resilience by linking the
system across hierarchical levels (Pickett et al. 1989).
We examine one basic mechanism at each of three hierarchical levels: (1) individual--behavioral plasticity in
food acquisition; (2) p o p u l a t i o n - - d e m o g r a p h i c compensation, and (3) metapopulation--dispersal. In reference to human disturbance, behavioral plasticity addresses the problem of habitat loss; demographic
compensation, the problem of overexploitation; and dispersal, habitat fragmentation at a landscape scale.
Behavioral plasticity in food acquisition refers to the
capacity of individuals to substitute one resource for another in the face of environmental disturbance, thereby
ameliorating flux in food availability. The h o m e ranges
of adult female carnivores integrate the space necessary
to meet energetic requirements for reproductive success
(Lindstedt et al. 1986), and population density in solitary
carnivores is strongly and inversely correlated with t~e
size of adult female h o m e ranges (Sandell 1989). Thusl !t
is particularly important to consider foraging behav~6r
by adult females,
i
.
'
f
Demographic compensation refers to the capacity iof
animals to respond to increased rates of juvenile and
adult mortality with increased reproduction and/or sUrL
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vival, thereby mitigating demographic fluctuations. Gittleman (1993) reanalyzed carnivore life histories in light
of n e w theory, statistical models, and comparative empirical data. He found that many temporal life-history
variables (e.g., age at maturity, interbirth interval) were
significantly and negatively correlated with variations in
age-specific mortality rates. The implication is that reproductive traits evolved in some long-term dynamic relationship to certain patterns and rates of mortality. In
particular, high survival and longevity of adult females
appears critical to the continued well-being of most carnivore populations.
Dispersal refers to movements by juvenile animals
w h e n leaving their natal range after reaching the age of
independence (philopatry here refers to nondispersal or
limited dispersal that includes portions of the maternal
range). Effective dispersal--the number of home ranges
an animal moves through before settling to b r e e d - scales movement to the species and its environment
(Shields 1987). Dispersal is successful if the individual
survives, establishes a n e w home range, finds a mate and
reproduces. Movements per s e - - n o matter h o w f a r - - d o
not constitute successful dispersal. In landscapes fragmented by human disturbance, successful dispersal is
the mechanism by which vanishing local populations
are rescued from extirpation (Brown & Kodric-Brown
1977) and functional connectivity of metapopulations is
established (Hansson 1991).
Resiliency Profiles of Large Carnivores
It is in the natural history of a species that we discover
clues about the relative efficacy of these mechanisms.
Accordingly, we have examined the literature for empirical information to sketch resiliency profiles for each of
these large carnivore species. We have emphasized data
from the Rocky Mountains as available.
Weaveret al.
ungulate biomass (53%) to the wolves' diet, followed by
deer (24%), moose (21%), and bighorn sheep (2%).
Based upon the relative abundance of groups of ungulates in summer, wolves selected elk (especially calves)
significantly more than expected and bighorn sheep significantly less so (p < 0.05). During winter wolves
preyed mainly upon deer (45% of kills) and elk (39%)
and to a lesser extent upon moose (11%) and bighorn
sheep (5%). Again, elk contributed most of the biomass
(54%) to the wolves' diet, followed by moose (24%),
deer (20%), and bighorn sheep (2%). Based upon relative
abundance of ungulate groups in winter, wolves selected elk more than expected and moose significantly
less (p < 0.05).
In the context of multi-prey species in the Rocky
Mountains, wolves may be viewed as "expanding specialists" that specialize on vulnerable individuals of large
prey (elk and moose) yet readily generalize to c o m m o n
prey (usually deer). In snow-tracking wolves amidst diverse prey during winter, field researchers have found
much plasticity by individual packs in killing prey of different species in sequence. Herd size, terrain, snow
depth, and forest cover influence prey vulnerability and
wolf predation among areas and years (Huggard 1993a,
1993b, 1993c; Weaver 1994).
Fuller (1989), following up on earlier work by Keith
(1983), reported a strong (r 2 -- 0.72), positive relationship between ungulate biomass and wolf density. Composition of the prey base, though, does have consequences for wolf density. In six areas of North America
where the ungulate biomass index averaged 196 -+ 21
(SE), composed of -> 85% deer and --< 15% moose, wolf
density averaged 3.5 -+ 0.3/100 km 2 (calculated from
Fuller 1989). In contrast, in eight areas where the ungulate biomass index averaged 290 -+ 60, composed of
--> 65% moose and/or daU sheep (O. dalh3, wolf density
averaged 0.8 _+ 0.1/100 km 2.
DEMOGRAPHIC COMPENSATION
GrayWolf
BEHAVIORAL PLASTICITY IN FOOD ACQUISITION
With their extensive geographic and ecological range
across North America, gray wolves exhibit a high degree
of plasticity in using different prey and habitats (Mech
1991). For wolves living amidst the high ungulate diversity (6-7 species) of the Rocky Mountains, Weaver (1994)
reanalyzed predation data from several studies (Cowan
1947; Carbyn 1974; Schmidt & Gunson 1985; Huggard
1993a; Boyd et al. 1994). In summer wolves preyed
principally upon deer (Odocoileus h e m i o n u s and O. virginianus; 53% of individuals represented in scats) and
elk (Cervus elaphus; 34%) and to a lesser extent upon
moose (Alces alces; 8%) and bighorn sheep (Ovis canadensis; 5%). Elk, however, contributed most of the
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Volume 10, No. 4, August 1996
Wild wolves become capable of reproducing at 2 years
of age. Due to the dominance hierarchy of wolf-pack social structure, however, some young wolves may not
necessarily breed when sexually mature. Age of female
wolves at first parturition may vary according to the impact of human exploitation on pack structure, but it usually averages about 3 years (range: 2-5) (Mech 1991).
Litter size averages about 5.4 (range of averages between studies: 4.0 to 7.0; see Fuller 1989). Once a female attains dominant status, she will usually whelp litters every year. Assuming that 20% of mature females do
not breed because of their subordinate status within a
pack, annual productivity rate averages about 4.2 pups
per adult female (range: 2.2-5.3). Age at reproductive
senescence has not been well documented, but few female wolves survive to reproduce past the age of 9 years
Weaver et al.
(Mech 1988). Assuming these average parameters and
an annual survivorship of 0.70, the average female wolf
might have a lifetime productivity of 6 female pups.
At very low levels of ungulate biomass per wolf, the
reproductive potential of wolves may be diminished
(Boertje & Stephenson 1992). Human exploitation of
wolf populations increases the amount of ungulate biomass per wolf, which may increase fecundity or survival.
The number of pups surviving to autumn or early winter
appears more strongly related (r z = 0.77) to the amount
of ungulate biomass per wolf than does litter size (r 2 =
0.14) (Fuller 1989). In southcentral Alaska Ballard et al.
(1987) found that about 10% of packs had multiple litters and suggested that this constituted a form of compensatory natality in heavily exploited wolf populations.
Fuller (1989) estimated that established wolf populations could sustain an overwinter mortality rate of 35%
and a human kill of 28%. Such values would vary with
the level of nutrition, pack size, and age and sex structure of the population and of the kill. In areas with
lower pup survivorship resulting from lower ungulate
biomass, sustainable harvest rates may be closer to 20%
(Gasaway et al. 1983). Of course, small packs composed
primarily of the breeding pair would be most susceptible to reproductive failure if one of the pair was killed
(Ballard et al. 1987; Hayes 1995).
DISPERSAL
Various aspects of dispersal have been documented for
wolves in Alaska (Peterson et al. 1984; Ballard et al.
1987), Minnesota (Fritts & Mech 1981; Mech 1987;
Fuller 1989; Gese & Mech 1991), Yukon (Hayes 1995),
and in the Rocky Mountains of Montana, Alberta, and
British Columbia (Boyd et al. 1995). Wolves typically disperse from natal packs at 2 years of age (range: 1-5);
older animals are most likely pack subordinates. The
overall sex ratio of dispersers has been 57 male to 43 female. In several studies young wolves, mostly females,
established territories within the edge of or adjacent to
their natal territory. Dispersal distance averaged 85 km
overall (91 km male; 83 km female). This is a minimum
figure because numerous individuals moved out of the
monitoring range of the telemetry study or were killed
before settling. Although males tend to disperse farther
(732 km for a pair of males [Ballard et al. 1983]; 917 km
for a single male [Fritts 1983]), a young female wolf
moved 840 km from Glacier National Park, Montana, to
Dawson Creek, British Columbia (Boyd et al. 1995).
Nonetheless, most dispersals (not necessarily successful) have been out to an effective distance of about five
home-range diameters (HRD) (Approximately 196 km).
Typically, dispersers suffer substantially higher mortality (from vehicular collisions, shooting, and trapping)
than do resident wolves (Peterson et al. 1984). Dispersal
Carnivore Resilience and Conservation
967
success has averaged 48% among North American studies (range: 27-85%). Up to about 10 HRDs (X), dispersal
success (I0 decreased with increasing distance (Y =
- 5 . 5 × + 74.7; df = 4 studies, r 2 = 0.63, p = 0.11).
Nonetheless, in Minnesota four of eight wolves dispersing beyond 10 HRDs were successful in settling in a n e w
territory (Gese & Mech 1991) (Approximately 391 km).
The consistently high proportion of eventual dispersers
in these studies (26% of radio-collared samples; range:
17-35%) indicates that a pool of animals usually exists
for ready colonization. Plasticity in dispersal strategies
enables wolves to colonize successfully under a variety
of social and environmental conditions. Little information has been published, though, on specific use of the
landscape by dispersing wolves, especially across fragmented landscapes.
BEHAVIORAL AND DEMOGRAPHIC RESPONSE TO HUMAN DISTURBANCE
Most field researchers have found that wolves tend to
avoid human settlements, to exhibit slight aversion
within about 1 km of open roads, and to use gated and
unplowed roads readily (Thurber et al. 1994). They appear to avoid exploiting prey near clusters of human
habitation and developments, especially in narrow river
valleys (Paquet 1993). Wolves are sensitive to human
disturbance near active den sites from mid-April to July.
Humans are directly responsible for most mortality of
adult wolves. In Alaska and Minnesota 80-85% of wolf
deaths were attributed to human-caused mortality (shooting, trapping, vehicular collisions) and 15-20% to natural causes (intraspecific strife, disease, and starvation)
(Peterson et al. 1984; Ballard et al. 1987; Fuller 1989). In
the Rocky Mountains between Banff and Glacier National Parks (US), 91% of 57 deaths of radio-collared
wolves in recent years were caused by humans (Boyd et
al. 1995).
In Minnesota approximately 75% of wolf packs occur
where the density of open roads passable by two-wheeldrive vehicles is < 0.6 km/km 2 and human density is 0-4
persons/km 2 (Mech et al. 1988; Fuller et al. 1992). Adjacent and inclusive areas in Minnesota with open-road
densities of 0.8-0.9 km/km 2 do not harbor wolf packs
(Mech et al. 1988). Wolves recolonizing Wisconsin have
been selecting those areas with low road density ( < 0.45
km/km2; Mladenoff et al. 1995). The relationship between road density (open and total) and wolf survivorship or density has not been determined for the more
open landscapes of the Rocky Mountains.
Following experimental killing by humans, wolf populations have demonstrated an ability to recover through
immigration and reproduction. In Alaska, where wolf reduction created a lacuna or gap approximately 90 km
wide (or 2.3 HRDs), Wolf densities recovered to 81% of
pre-control levels within 1 year (Ballard et al. 1987). Fol-
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968
Carnivore Resilience and Conservation
lowing a wolf-reduction program in the Yukon, wolves
recovered to 60% of the original population size in 2
years and to 96% in 4 yeal"s (Hayes 1995). Recolonization
by dispersing animals from outside the study area filled
in the gap with breeding pairs during early recovery, followed by increases in pack size from reproduction. Interestingly, the initial locus of recolonization in Wisconsin along the Minnesota border was about 90 km or 6
HRDs straight-line distance from the nearest edge of occupied wolf habitat in Minnesota (calculated from Mladenoff et al. 1995). In the Rocky Mountains during the
1980s, wolves most likely from southeast British Columbia or southwest Alberta recolonized northwest Montana (Ream et al. 1991).
Cougar
BEHAVIORAL PLASTICITY IN FOOD ACQUISITION
With their extensive geographic and ecological range in
North and South America, cougars have demonstrated a
high degree of plasticity in using different habitats and
prey (Anderson 1983). In the western mountains of
North America cougars prey primarily upon cervids:
deer, elk, and (regionally) moose (Hornocker 1970;
Spalding & Lesowski 1971; Anderson 1983; Murphy
1983; Ackerman et al. 1984; Spreadbury 1988; Jalkotzy
et al. 1992; Williams et al. 1995). In a cervid population
in central Idaho with an estimated composition of 37%
elk and 63% mule deer in winter, cougars selected elk
(53% of kills, 76% of diet biomass) more than deer (46%
of kills, 24% of diet biomass) (Hornocker 1970). In Alberta male cougars exploited moose (68% of kills, 84%
of diet biomass), whereas female cougars preyed on
deer (53% of kills, 40% of diet biomass) and elk (19% of
kills, 39% of diet biomass) more than moose (8% of kills,
15% of diet biomass) (Jalkotzy et al. 1992). Other large
carnivores, especially wolves, may usurp ungulate kills
from cougars (I. Ross, personal communication).
Scant information has been reported on prey populations in these studies from which a relationship between
cervid biomass and cougar density could be determined
(as Fuller [1989] did for wolves). In central Idaho there
were an estimated 197 elk, 331 mule deer, and 2.9 cougars per 100 km 2 (Hornocker 1970). In southern Utah
there were about 4 elk, 107 mule deer, and 0.5 cougars
per 100 km 2 (Ackerman et al. 1984; Lindzey et al. 1994).
The 7.7-fold difference in the ungulate biomass index
between these areas compares to a 6-fold difference in
the density of adult female cougars. In central Idaho density of adult female cougars increased with increasing
density of prey (Quigley et al. 1989). In four areas density of adult female cougars was inversely related to the
average size of their home range (r 2 = 0.91, df = 3 , p =
0.05), and total density of resident cougars was directly
related to that of resident adult females (r 2 = 0.79, df =
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Volume 10, No. 4, August 1996
Weaver et al.
23, p < 0.001; calculated from data in Seidensticker et
al. 1973; Logan et al. 1986; Ross & Jalkotzy 1992;
Lindzey et al. 1994). Thus, limited data suggest that cougar density is related positively to the abundance of
cervids in habitats with stalking cover. Interestingly,
cougar density was about 18% lower in Idaho and 36%
lower in Utah than Fuller's (1989) equation would have
predicted for wolves.
DEMOGRAPHIC COMPENSATION
Demographic parameters have been documented for
several cougar populations in the mountain West (Hornocker 1970; Seidensticker et al. 1973; Anderson 1983;
Murphy 1983; Logan et al. 1986; Lindzey et al. 1988;
Ross & Jalkotzy 1992; Lindzey et al. 1994). Age of female
cougars at first parturition averaged about 3.0 years
(range of averages between studies: 2.5-4.0). Mean litter
size at 4-8 months of age was 2.5 (range: 2.2-2.8), and
the interval between litters averaged 1.7 years (range:
1.3-2.0). Mean annual productivity was about 1.5 kittens per adult female (range: 1.3-2.1). Age at reproductive senescence has not been well documented for wild
cougars, but few females likely survive to reproduce
past the age of 10-12 years (Beier 1993). Assuming
these average parameters and an annual survivorship of
0.85 for adult females, the average female cougar would
have a lifetime production of 3-4 female young.
Survivorship in an increasing cougar population in Alberta averaged 0.89 (range in annual survivorship: 0.860.97) over a 5-year period (adult male 0.77, adult female
0.95, juvenile male 0.95, juvenile female 0.85; calculated
from data in Jalkotzy et al. 1992; Ross & Jalkotzy 1992).
Survivorship in a stable population in western Montana
averaged 0.80 (range in annual survivorship: 0.72-1.00)
over a 3-year period (adult male 0.75, adult female 0.83,
juvenile 0.80; calculated from data in Murphy 1983),
whereas survivorship in a stable to slightly decreasing
population in central Idaho averaged 0.78 (range in annual survivorship: 0.54-0.88) over a 4-year period (adult
male 0.87, adult female 0.85, juvenile male and female
0.68; calculated from data in Hornocker 1970). Natural
mortality from intraspecific killings, starvation, and fatal
injuries sustained during prey capture have averaged
about 0.04 per year (range: 0.03-0.05; Hornocker 1970;
Logan et al. 1986; Lindzey et al. 1988; Ross & Jalkotzy
1992). Hunting mortality may not be fully compensated
by a reduction in other sources of mortality; rather, it
likely will be partly additive (Lindzey et al. 1988). Cougar populations can sustain an overall mortality rate of
about 15%, of which 5% will be from natural causes
(Jalkotzy et al. 1992). Wide-scale loss of breeding females can be crucial because it reduces the number of
female progeny available for replacement (Lindzey et al.
1992).
Weaver et al.
DISPERSAL
Important information regarding dispersal has been collected in several areas (Hornocker 1970; Seidensticker et
al. 1973; Logan et al. 1986; Ross & Jalkotzy 1992; Laing
& Lindzey 1993; Lindzey et al. 1994). Young cougars disperse between the ages of 10 and 22 months, with an average of about 16 months. Nearly all male offspring disperse from their maternal home range. Replacement is
principally by young males immigrating from other areas. Young female cougars exhibit a wider range of dispersal strategies, including a higher level of philopatry.
In central Idaho nearly all young females dispersed, even
though some maternal ranges were vacant (Seidensticker et al. 1973). In Alberta, however, 7 juvenile female cougars established home ranges adjacent to or
slightly overlapping with their mother's home range
(Ross & Jalkotzy 1992). In an unhunted cougar population in Utah, 7 of 10 resident females were replaced by
either one of their o w n independent daughters or a
daughter of a neighboring resident female (Laing &
Lindzey 1993). Dispersal distances have averaged 85 km
(range: 6-274 km), for an effective distance of about 5-7
HRDs. Although young male cougars have accounted for
the longest dispersal distances, young females have
moved up to 366 km (I. Ross, personal communication).
Little information has been published on the spatiotemporal patterns of dispersal by juvenile cougars or on
their specific use of the landscape in the Rocky Mountains, especially across fragmented landscapes. In a particularly useful study, Beier (1995) found that dispersing
cougars (eight males, one female) in southern California
used a series of small, transient home ranges along an urban-wildland interface. Five of the nine dispersers discovered and successfully used corridors 1.5-6 km long
during nighttime. These corridors were located along
natural travel routes with ample w o o d y cover, had less
than one dwelling unit per 16 ha, and lacked artificial
outdoor lighting. Ultimately, though, seven of the nine
dispersers died before establishing a home range; three
deaths were due to vehicle collisions.
BEHAVIORAL AND DEMOGRAPHIC RESPONSE TO HUMAN DISTURBANCE
Limited scientific data have been published on cougar
tolerance of human activities. In Arizona and Utah, resident cougars and successful dispersers selected home
ranges with road densities lower than average for the
study area and with few or no sites of human residence
(Van Dyke et al. 1986). Some cougars will travel or hunt
near human developments, mostly at night (Van Dyke et
al. 1986; Beier 1995).
Most (75%) of the adult cougar mortality recorded in
the various studies has been caused by humans. Favorable snowtracking conditions can facilitate hunters locating cougars in winter, and hounds are usually quite
Carnivore Resilience and Conservation
969
successful in treeing the cats (Murphy 1983; Jalkotzy et
al. 1992). Houndsmen in western Montana located and
killed disproportionately more cougars along the main
road up a drainage than along secondary roads in tributaries (Murphy 1983).
The resilience of cougar populations to hunting likely
depends on the rate of male immigration to the population and the availability of recruitment-age female progeny (Lindzey et al. 1992). Dispersal plays a crucial role
because replacement of nearly all males as well as some
females in a local population occurs mainly by immigration of juveniles from nearby sources rather than by i n
s i t u replacement. Based upon simulation modeling,
Beier (1993) reported that, for any combination of demographic parameters, minimum habitat area for > 98%
likelihood of persistence over 100 years was 200-600
km 2 smaller with immigration of 1-4 cougars per decade
than without immigration.
Wolverine
BEHAVIORAL PLASTICITY IN FOOD ACQUISITION
Wolverines remain the least studied of the larger carnivores: only five field studies have been completed and
published in North America (Hornocker & Hash 1981;
Gardner 1985; Magoun 1985; Banci 1987; Copeland
1996). Weaver (1993) and Banci (1994) have summarized the meager base of knowledge for this species.
Wolverines use a wide variety of foods, particularly in
summer w h e n they feed on ground squirrels and marmots, ungulate carrion, microtines, birds, and berries.
For the remainder of the year wolverines seem to subsist
largely on ungulate carrion (Banci 1994). In northwest
Montana elk and deer carrion were important winter
food sources (Hornocker & Hash 1981). Banci (1994)
surmised that the larger predators, especially wolves,
may be important providers of ungulate carcasses for
wolverines to scavenge. She also suggested that diversity
of habitats and foods per se may be more important than
any single resource for this predominant scavenger.
Home ranges (minimum convex polygon) of 13 adult
female wolverines in northwest Montana averaged 344
km 2 (Hornocker & Hash 1981). In central Idaho home
ranges averaged 280 km 2 for five adult females and 1525
km 2 for four adult males (Copeland 1996). Estimated
densities of wolverines based in part on telemetry have
ranged from 0.5/100 km 2 in Idaho (Copeland 1996) to
1.5/100 km 2 in Montana (Hornocker & Hash 1981). No
relationship between habitat or prey and wolverine
abundance has been determined.
DEMOGRAPHIC COMPENSATION
i
i
Wolverines appear tO have a very low realized natality
(Rausch & Pearson 11972; Liskop et al. 1981; Magoun
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Volume 10, No. 4, August 1996
970
CarnivoreResilience and Conservation
1985; Banci & Harestad 1988). Age of females at first
parturition is 2 years, with an average of 63% of females
(range of averages: 50-85%) having fetuses at this age.
Litter size in utero has averaged 2.9 (range of averages:
2.2 in Montana to 3.5 in Alaska), but litter sizes less than
2.0 observed after den abandonment suggest some preor p o s t p a r t u m mortality (Banci & Harestad 1988). Percentage of adult (--> 2 years) female wolverines pregnant
in any year has varied from more than 50% in northwest
Montana (Hornocker & Hash 1981) to 74% in western
Canada (Liskop et al. 1981; Banci 1987) to 92% in Alaska
(Rausch & Pearson 1972). The annum proportion of
adult females successful in reproduction has been as low
as 25-50% because some females have not borne live
young for 3 years in a row (Hornocker & Hash 1981; Mao
goun 1985; Banci 1987). Thus, the interval between litters for the average adult female wolverine is greater
than 1 year and likely 2 years or more. The net result is
low production, ranging from an optimistic rate of 1.0
offspring per adult female per year (assuming litter size
of two and a 2-year average interval) down to a documented rate of 0.6-0.7 offspring per adult female per
year (Magoun 1985). Such low reproductive output
probably reflects the tenuous nutritional regime for this
scavenger. Reproductive success may be keyed to the
availability of ungulate carrion in winter and spring,
w h e n blastocysts implant and kits are born (Magoun
1985; Banci 1987). Age at reproductive senescence has
not been well documented for wild wolverines, but few
females likely survive to reproduce past the age of 8
years (Rausch & Pearson 1972; Hash 1987). Assuming
these average parameters and an annual survivorship of
0.85 for adult females, the average female wolverine
would have a lifetime production of two female offspring.
For an estimated population of 20 wolverines in northwest Montana that was considered stable, survivorship
was about 0.81 (calculated from data in Hornocker &
Hash 1981). In the Yukon study survivorship of resident
adults was approximately 0.89 (calculated from data in
Banci 1987).
DISPERSAL
Data on dispersal by wolverines are limited. The longest
involved a 378-km movement by a 2-year-old male from
Alaska to the Yukon (Gardner et al. 1986). Magoun
(1985) reported a 300-km trip by one yearling female,
whereas another female was still in her natal range at 28
months of age. These dispersals were terminated by
trapping of the animals. In an unexploited wolverine
population in central Idaho, two independent subadult
females established home ranges that overlapped with
their mother's, whereas two 2-year-old males dispersed
more than 200 km (Copeland 1996). That at least some
dispersers can be successful is suggested by the appar-
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Volume 10, No. 4, August 1996
Weaveret al.
ent recolonization of former ranges in Montana (Newby
& McDougal 1964; Hash 1987) and Wyoming (Hoak et
al. 1982). The initial source of such dispersers decades
ago may have been southern British Columbia, especially the Kootenay region (see Hatler 1989).
BEHAVIORAL AND DEMOGRAPHIC RESPONSE TO HUMAN DISTURBANCE
Wolverines appear to avoid human settlements (Banci
1994) and may be particularly sensitive to human disturbance during denning periods (J. Copeland, personal
communication). The incidence of known mortality for
radio-collared wolverines in field studies has been 30%
(24 of 80), but the fate of many dispersing juveniles has
not been well documented. Trapping and hunting accounted for 58% of recorded mortalities. Many of these
occurred when animals left study areas that were closed
to harvest. Wolverines appear susceptible to trapping
around baits, particularly in years w h e n carrion availability is low because of mild winters or other factors. In the
Montana study, Hornocker and Hash (1981) reported
that trapping caused 15 of 18 (83%) recorded mortalities
and noted that many of the captured wolverines exhibited missing toes and broken teeth attributable to previous encounters with leg-hold traps. In the various field
studies, four wolverines (17%) starved, two died from
disease or infection (8%), and predators killed two others (8%). Thus, nonhuman causes accounted for 33'/o of
recorded mortality. Using data from Alaska and the
Yukon, Gardner et al. (1993) estimated that the wolverine population they modeled could sustain an annual
harvest of 7-8% of the fall population.
Grizzly Bear
BEHAVIORAL PLASTICITY IN FOOD ACQUISITION
Numerous studies have documented grizzly bear diets
throughout the Rocky Mountains, including the Greater
Yellowstone Ecosystem (Mattson et al. 1991; Craighead
et al. 1995), northwest Montana (Craighead et al. 1982;
Mace & Jonkel 1986; Aune & Kasworm 1989), and the
Canadian Rockies (Russell et al. 1979; Hamer & Herrero
1983; Hamer et al. 1985; Wielgus 1986; Raine & Riddell
1991). Grizzly bears are the most omnivorous of the four
larger carnivores. Although grizzly bears use a wide variety of foods, four main groups compose most of their
diet: grasses and sedges; forbs and forb roots; berries
and pine seeds; and mammals, including ungulates and
rodents.
In spring (April-May) grizzly bears scavenge on ungulate carrion where available, graze succulent grasses and
sedges, or dig roots (e.g., H e d y s a r u m spp.). In early
summer some bears prey on elk calves for 2-3 weeks in
June, whereas others feed on rodents, grasses, or forbs.
During midsummer grizzlies forage on horsetail (Equise-
Weaveret al.
t u m ) and a variety of forbs (Heracleum, A~tgelica) and
insects. During late summer and fall (August-October)
they feed on berries (especially Vaccinium and Shepherdia) or the seeds of whitebark pine (Pinus albicaulis) cached in middens by tree squirrels (Tamiasciurus
hudsonicus), with occasional predation on male ungulates in rut. Foraging patterns, habitat use, and movements may vary among bears and among locales of the
Rocky Mountains, depending on the temporal and spatial availability of key resources and perhaps learned behavior.
Adequate weight gain and fat deposition appears crucial to successful hibemation and reproduction in bears
(Rogers 1987a). In late summer and fall, grizzly bears
forage voraciously (hyperphagia). During years of poor
production of berries and pine seeds, bears respond by
substituting lower-quality foods (e.g., roots of Hedysa r u m or L o m a t i u m ) . Unlike true ruminants, however,
grizzly bears cannot adequately assimilate nutrients from
coarse vegetation that is high in cellulose (Mealey 1975).
In the face of a shortfall in nutritious foods, bears move
widely in search of food, which may bring them into
contact with humans (Blanchard & Knight 1991; Mattson et al. 1992). This substantially increases the risk of
direct human-caused mortality or leads to management
capture and translocation with problematic success (Riley et al. 1994; Blanchard & Knight 1995; Mattson et al.,
this issue).
Annual home-range sizes for adult female grizzlies in
eight locales of the Rocky Mountains averaged 230 km 2
(range of averages among studies: 119-413 km2). Relationships between grizzly bear abundance and variables
of habitat or key food resources have not yet been determined (Boyce 1995). Estimated densities of grizzly bears
in the Rocky Mountains have ranged from 0.6 bears/lO0
km 2 along the eastern front in Montana (Aune & Kasw o r m 1989) to a very high 6.2 bears/100 km 2 in southeast British Columbia (McLellan 1989a).
DEMOGRAPHIC COMPENSATION
Several published studies have documented the reproductive parameters of grizzly bear populations at various
places in the Rocky Mountains (Martinka 1974; Russell
et al. 1979; Aune & Kasworm 1989; McLellan 1989c;
Wielgus & Bunnell 1993; Eberhardt et al. 1994; Aune et
al. 1994; Craighead et al. 1995). Age of female grizzly
bears at first parturition averaged 5.7 years (range of averages between studies: 5.0-6.2). Mean litter size after
emergence from winter dens was 2.1 (range: 1.7-2.3),
with an average interval between litters of 3.1 years
(range: 2.7-3.4). Annual production averaged about 0.7
cubs per adult female (range: 0.6-0.8), with females
most productive between the ages of 10 and 20 years.
Assuming these average parameters and an annual survivorship of 0.94 for adult females from ages 6 to 20, the
CarnivoreResilienceand Conservation
971
average female grizzly bear would have a lifetime production of 3-4 female cubs. Productivity appears to be
positively related to increased body mass of adult females which, in turn, may reflect the quantity and quality of key foods (Stringham 1990; McLellan 1994, but see
Craighead et al. 1995). A survivorship of higher than
0.92 for adult female grizzly bears has characterized all
Rocky Mountain populations estimated to be stable or
increasing (McLellan 1989b; Wielgus & Bunnell 1993;
Eberhardt et al. 1994).
DISPERSAL
Aspects of dispersal by grizzly bears have not been well
documented. Subadult females often establish a range
encompassing a portion of their mother's home range,
whereas subadult males tend to move much farther
away from the maternal home range (Blanchard &
Knight 1991). Such a pattern is c o m m o n in mammals
with polygynous mating systems, including black bears
(Ursus americanus; Rogers 1987b). In the Greater Yellowstone Ecosystem four male grizzlies weaned as 2-yearolds moved an average of 70 km (straight-line distance)
from their maternal range, or about 2 HRDs. Another
weaned male, however, was captured as a 5-year-old
within his maternal home range and killed the following
year only 15 km west of that range (Blanchard & Knight
1991). None of the more than 460 grizzly bears radiotracked in the American West over the past 25 years has
been documented to move from one grizzly bear ecosystem to another where inter-ecosystem distances vary
from 60 to 384 km (C. Servheen, personal communication).
BEHAVIORALAND DEMOGRAPHIC RESPONSE TO HUMAN DISTURBANCE
Human traffic along open roads displaces most grizzly
bears from 100 to 900 m (Mattson et al. 1987; McLellan
& Shackleton 1988; Aune & Kasworm 1989; Kasworm &
Manley 1990; Mace et al. 1996). Because adult female
grizzly bears are security-conscious in the presence of
adult males, they may use areas adjacent to roads and human settlements that the males avoid (Mattson 1990).
These adult females, however, may then become habituated to humans and eventually become nuisance animals
that are either relocated, removed to zoos, or destroyed
(Mattson et al. 1987). Limited evidence suggests that
some bears use the cover of darkness to exploit areas
that are disturbed during the day (Aune & Kasworm
1989).
In the Greater YelloWstone Ecosystem during 19731985, illegal kills acco0nted for 41% (29% hunters) of
101 k n o w n grizzly bea~ deaths; management control actions, 35%; and road kil~s, 6% (Knight et al. 1988). As of
1995, humans were responsible for 91% of the 53 recorded mortalities of adult females (R. Knight, personal
Conservation Biology
Volume 10, No. 4, August 1996
972
Carnivore Resilience and Conservation
communication). Shooting has accounted for 86% (38%
illegal kills) of 56 k n o w n mortalities in other Rocky
Mountain ecosystems, with natural mortality occurring
in 12% of cases (Knick & Kasworm 1989; McLellan
1989b; Mace et al., 1996).
There is no conclusive evidence of a sharp reproductive response or increased survivorship of young by grizzlies to compensate for increased mortality (McLellan
1994; Craighead et al. 1995). Simulation modeling consistently shows that high adult female survivorship is
critical to the persistence of grizzly bear populations
(Bunnell &Tait 1981; Eberhardt 1990). Grizzly bear populations cannot sustain known, human-caused mortality
rates exceeding about 5% annually (Bunnell & Tait
1981). Recent grizzly bear management programs have
established u p p e r limits of about 4-5% k n o w n mortality
from human causes, with female deaths not to exceed
30-35% of that level (Dood et al. 1986; Nagy & Gunson
1990).
Security from human disturbance facilitates survivorship and reproduction of adult females. In the Flathead
River region of northwest Montana, road density was
lower (0.6 k m / k m 2) within the composite h o m e range
of adult female bears than outside (1.1 k m / k m 2) (Mace
et al., 1996). Approximately 56% of the composite h o m e
range was unroaded, c o m p a r e d to 30% outside. More
than 80% of bear locations occurred in blocks of undisturbed habitat 9 km 2 or more in size, or about 7% of the
average h o m e range. For grizzly bears in the Yellowstone Ecosystem, D. Mattson (personal communication)
r e c o m m e n d s security blocks 28 km z in size, or about
10% of an average adult female's h o m e range.
Implications for Conservation
Over millennia, large carnivores persisted by a variety of
mechanisms that buffered environmental disturbance at
various temporal and spatial scales: (1) plasticity in foraging behavior, (2) relatively high survivorship of adult
females, enabling replacement over a full lifetime, and
(3) recolonization of vacant habitats by dispersal. This
resiliency, though, had definite limits. As human activities accelerated rates of disturbance across a greater portion of the landscape (Turner et al. 1989, 1993), the
combination of speed and simplification undermined
the resiliency mechanisms of the species and rendered
their populations more fragile. Cumulative impacts accrued that threaten their persistence (Weaver et al.
1986).
For large carnivores to persist, human disturbance
must be constrained within the bounds of the species'
resilience. Obtaining reliable information about population status and trends of these low-density and secretive
animals, however, is difficult, expensive, and problem-
Conservation Biology
Volume 10, No. 4, August 1996
Weaveret al.
atic (Mattson et al., this issue). Moreover, each species is
vulnerable to overexploitation from illegal or incidental
mortality that can be difficult to detect and control.
A c o m m o n strategy of managers facing similar uncertainty in other arenas is to minimize exposure to risk by
providing safe havens or refugia. Indeed, the powerful
role of refugia in population persistence has emerged as
one of the most robust concepts of modern ecology
(Fahrig 1988). Conceptually, refugia can be identified
and managed as population sources (Pulliam & Danielson 1991) by (1) maximizing natality through enhancement of habitat productivity or (2) minimizing mortality
through reduced access or curtailment of harvest. In the
broader sense, therefore, refugia are safety nets from
habitat loss and overexploitation. Both the resiliency
profiles and the historical record attest to the need for
some form of refugia for large carnivores.
The type, size, and distribution of refugia needed
across the landscape likely will vary by the degree of disturbance in the intervening matrix and by species. For
example, Knick (1990) found that the necessary size of
refugia for bobcats (F. r u f u s ) varied with the intensity of
harvest in the areas b e t w e e n refuges. His model predicted that refugia must be large enough to completely
enclose 3-5 territories, for a total of 12-16 contiguous
territories. Based u p o n simulation modeling, Joshi and
Gadgil (1991) reported that if multiple refugia were adequately dispersed across a landscape to ensure complete
mixing of the protected and exploited populations, harvest was sustainable while minimizing the risk of extirpation. The key was a tight feedback loop so that increases in harvesting effort w e r e accompanied by
increases in the n u m b e r or size of refugia.
With their high annual productivity and dispersal capabilities, wolves possess resiliency to modest levels of
human disturbance of habitat and populations. Cougars
appear to have slightly less resiliency because of more
specific requirements for stalking habitat, less competitive ability in multi-carnivore communities, and lower biennial productivity. With their productivity and dispersal
capability, wolves and cougars might respond sufficiently to refugia that are well distributed in several
units across the landscape at distances scaled to successful dispersal (e.g., < 5 HRDs; Beier 1995; Mech 1995).
Grizzly bears fall m u c h lower on the resiliency scale
and appear extremely vulnerable to anthropogenic disturbance (Mattson et al., this issue). The need of grizzly
bears for quality forage in spring and fall, their low triennial productivity, and the strong philopatry of female
offspring to maternal h o m e ranges does not provide
m u c h resiliency in human-dominated landscapes. Based
on limited information, wolverines seem more susceptible to natural fluctuations in scavenging opportunities,
are vulnerable to traps set near baits, and may have
lower lifetime productivity than even grizzly bears. With
their lower productivity and dispersal capability, grizzly
Weaver et al.
Carnivore Resilience and Conservation
b e a r s a n d w o l v e r i n e s m i g h t fare b e t t e r in a l a n d s c a p e
d o m i n a t e d by larger o r m o r e c o n t i g u o u s refugia.
B o t h e c o l o g i c a l t h e o r y a n d s i m u l a t i o n m o d e l i n g und e r s c o r e t h e i m p o r t a n c e o f f u n c t i o n a l c o n n e c t i v i t y i n fac i l i t a t i n g p o p u l a t i o n p e r s i s t e n c e ( H a n s s o n 1991; Harris o n 1991). T h u s , r e f u g i a m u s t e n c o m p a s s t h e full a r r a y
of seasonal habitats needed
by large carnivores and
should be connected to other refugia through landscape
linkages. Empirical data for large carnivores confirms the
capability of these animals to move long distances, yet
m o s t s u c c e s s f u l d i s p e r s a l o c c u r s w i t h i n f i v e HRDs. Efforts to identify a n d s e c u r e key linkage z o n e s are crucial
b e f o r e o p t i o n s a r e lost.
The resilience framework does not require a precise
c a p a c i t y t o p r e d i c t t h e f u t u r e , b u t o n l y a q u a l i t a t i v e capacity to devise systems that can absorb and accommod a t e f u t u r e e v e n t s in w h a t e v e r u n e x p e c t e d f o r m t h e y
m a y t a k e ( H o l l i n g 1973). W e b e l i e v e t h a t p o p u l a t i o n s o f
large c a r n i v o r e s will persist l o n g e r w i t h w e l l - d e s i g n e d
n e t w o r k s o f refugia.
Acknowledgments
W e t h a n k T. Clark, J. C o p e l a n d , T. Fuller, D. M a t t s o n , K.
M u r p h y , a n d I. R o s s f o r s t i m u l a t i n g d i s c u s s i o n s a n d c o n s t r u c t i v e r e v i e w s o f t h e m a n u s c r i p t , as w e l l as D. C a s e y
a n d P. C u r l e e f o r t h e i r e d i t o r i a l a s s i s t a n c e .
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