Age Structure

Our data strongly indicate that in northeastern Minnesota wolves prey

much more heavily on the older members of the deer population, at least

during winter (fig. 7). Substantial vulnerability to wolves seems to

begin at about the age of 5 years (fig. 13), because the percentage of

wolf-killed deer in each year class increases from 9 percent for

4-1/2-year-old animals to 15 percent for 5-1/2-year-olds (table 4).

Indeed, 48 percent of the wolf-kills were aged 5-1/2 and over, which

compares favorably with the Ontario figure of 58 percent for these age

classes (Pimlott _et al._ 1969).

[Illustration: _Figure 13.--Relative rates of predation on deer of

various ages, based on comparisons of the ages of wolf-killed deer with

those of a theoretical population (dashed line) and those of the

hunter-killed population. See figure 7._]

These figures assume added significance when compared with a sample of

deer killed by hunters in the same general area (fig. 1). Only 10

percent of the hunter-killed deer were 5-1/2 years old or older, and

the percent killed in each year class dropped off suddenly from 13

percent aged 4-1/2 to 6 percent aged 5-1/2. If the age structure of the

hunter-kill sample is reasonably representative of the age structure of

the population at large, the wolf-kill data show that wolf predation in

our study area during winter has a definite selective effect on the

deer population.

There is no direct way of knowing that the age structure of the

hunter-killed deer represents the age structure of the deer population

at large. However, sampling hunter-kills is the most practical means

available for gaining an index to the age structure of the existing

herd. Further, there are three indirect pieces of evidence indicating

that the hunter-kill sample represents the actual age structure of the

population, just as Maguire and Severinghaus (1954) found in New York.

First, our sample has the basic theoretical form expected of a stable

deer herd; i.e., the youngest year class contained the most members,

and each older cohort included fewer (fig. 7). Second, the age

structure of our sample has the same form as most other deer age

structures from widely diverse areas, (Ontario, Pimlott _et al._ 1969;

southern Minnesota, Erickson _et al._ 1961; Massachusetts, Shaw 1951).

Third, there is no reason to believe that in our area rifle hunting is

especially selective for any particular age classes. In talking with

large numbers of hunters, we have learned that most shoot at any and

all deer they happen to see.

Even if the age structure of the hunter-kill sample did not approximate

that of the actual herd, the comparison of the wolf-kill with the

theoretical population dictates the same conclusion: the rate of kill

of older deer by wolves was several times greater than that of younger

deer, excluding fawns (fig. 13). In any case, if the actual deer

population in our study area had an age structure similar to that of

our sample of wolf-kills (which would be the only age structure that

would contradict our conclusion), its numbers would be declining by

orders of magnitude each year, and there would now be only a remnant

population. Such obviously is not the case.

The only other question that might arise from a comparison of the age

structure of our wolf-killed deer with that of the hunter-killed deer

concerns the area from which each sample was taken. Fifty of our

wolf-kills came from a region almost inaccessible to hunters (fig. 1).

However, the other 92 came from the same general area as the

hunter-kills. Nevertheless, there was no statistically significant

difference in age structure between the wolf-kills from the wilderness

versus those from the hunted area (table 1). This fact also suggests

that the human hunting in the area is relatively light and has little

effect on the age structure of the deer population in the area.

Wolves may also be taking a disproportionately high number of fawns,

although our data do not show this. Nevertheless, there may be a bias

against fawns in our method. It is not unusual to discover the remains

of a wolf-killed deer so completely eaten that there is no indication

left of the animal's age. Because fawns often are only about half the

size of adult deer, and their skeletons have not yet completely

ossified, the chances are better that fawns will be more completely

eaten. Pimlott _et al._ (1969) also recognized this possible bias,

although their data did indicate that wolves were killing a higher

percentage of fawns than occurred in the population.

Our study does support the other conclusion of Pimlott _et al._ (1969),

based on a study of 331 kills, that wolf predation on deer during

winter shows a definite selection for older animals. It does not agree

with the tentative conclusion of Stenlund (1955) that wolves in the

Superior National Forest do not prey disproportionately on old deer.

However, Stenlund's conclusion was based on 36 kills and on the

assumption that only deer at least 7 years old were "old." Deer 5 years

old and older composed 33 percent of Stenlund's sample, a figure

considerably higher than the 10 percent in these age classes in our

hunter-kill sample (table 4). Thus Stenlund's data do not contradict

our conclusion.

The age of 5 years seems to be the beginning of the period of

vulnerability for adult deer. Although 5 years might not seem

especially old, there are two aspects of significance concerning deer

of this age and older. First, they are in the second half of the life

span for most members of the species, and their alertness and ability

to bolt quickly away might be expected to decline. It is of interest in

this regard that Klein and Olson (1960, p. 87) believed 5 years of age

to be "the upper limit of physiological efficiency" of black-tailed

deer (_Odocoileus hemionus_) in Alaska. Second, up to the age of at

least 4-1/2 years, and perhaps beyond, the apparent

weight-load-on-track of deer increases with age (Kelsall 1969). Thus

older deer would sink farther into the snow than younger ones, and

their escape might be slowed and hindered more. For further discussion

of the effect of snow on the vulnerability of deer, see Mech _et al._

(p. 51).

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