Plains Indian Studies - Smithsonian Institution Libraries
Plains Indian Studies - Smithsonian Institution Libraries
Plains Indian Studies - Smithsonian Institution Libraries
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166 SMITHSONIAN CONTRIBUTIONS TO ANTHROPOLOGY<br />
ber of individuals per taxon is consistent within<br />
a sample though differing between sites and not<br />
controlled by sample size. What varies between<br />
the sites is the pattern of skeletal recovery. In the<br />
case of the Near Eastern samples, the distribution<br />
of the different bone types within each site's<br />
subsamples are similar. In the case of the bison<br />
samples reported by B. Gilbert (1969:283), this is<br />
clearly not the case. The Woodland sites have a<br />
relative absence of toe bones compared to the<br />
Middle Missouri and Coalescent sites. The result<br />
is widely different effective numbers of individuals.<br />
The point of these comments is to demonstrate<br />
that the curvilinear relationship produced<br />
empirically by a plot of many MNI/E combinations<br />
does not reflect patterned bias in the way<br />
either estimates a consequences population of<br />
whole animals. It is possible to say that any factor<br />
that (1) increases the number of categories of<br />
element types (a trephic factor like the discovery<br />
of new morphological distinctions); (2) increases<br />
the recovery rate of small bone fragments (a<br />
sullegic factor like reducing screen size); or (3)<br />
changes the skeletal recovery pattern (a cultural<br />
factor like a change in the location of animal<br />
processing activities) will vary the relationship<br />
between MNI and E. Whether either effectively<br />
mirrors the finds population is a separate question.<br />
Another method of estimating taxon frequency<br />
in the finds population has been proposed (Gilbert<br />
and Steinfeld, 1977; Hesse and Perkins, 1974;<br />
Holtzman 1979; Perkins, 1973; Wapnish et al.,<br />
1977). It attempts to overcome one weakness of<br />
the MNI approach by using a greater proportion<br />
of the sample, and one weakness of the E approach<br />
by correcting for the variable number of<br />
elements identifiable in different species. Called<br />
the weighted abundance of elements (WAE) by<br />
Holtzman (1979:80), and relative frequency (rf)<br />
by Perkins (1973), it is calculated by dividing E<br />
by the number of bone elements that are potentially<br />
identifiable in a species skeleton. Two<br />
choices exist in the way the division is done. With<br />
one, E is divided by the number of element types<br />
that are actually present in the sample. This is<br />
roughly equivalent to an average MNI. Each<br />
element type is considered an estimator of relative<br />
species frequency. Taking the average minimizes<br />
the risk associated with a single element estimator<br />
(roughly the comparison between a mean and a<br />
mode as a measure of central tendency). With the<br />
other, E is divided by the potential number of<br />
identifiable element types, whether or not they<br />
are actually represented in the sample. With both<br />
choices it is recommended that element types<br />
with extremely low frequency of recovery be omitted<br />
from both values in the calculation. The first<br />
choice reflects the view that only a portion of an<br />
animal's carcass, in many cases, is likely to be<br />
consistently interred in a cultural deposit (for<br />
instance, only foot bones) and that calculations<br />
using the second method would underestimate<br />
taxon frequency. The second method reflects the<br />
view that, in general, whole carcasses are interred<br />
in cultural deposits, and it is the effects of attrition<br />
that reduce the number of element types recovered.<br />
Since the rf estimator is prone to error<br />
from differential preservation, it is critical that<br />
the divisor be chosen with some consideration of<br />
what the choice implies about preservation.<br />
Holtzman (1979) has compared the performance<br />
of rf/WAE and MNI in a series of computer<br />
simulations. He concluded that "in all simulations<br />
the WAE estimates showed generally<br />
smaller mean squared errors than the MNI estimates,<br />
even under most conditions where the<br />
WAE bias was larger than the MNI bias."<br />
Where the distorting effects of natural or cultural<br />
factors are suspected to be large, it is advantageous<br />
to dispense with trying to estimate the<br />
taxon frequency in the finds or consequences<br />
populations. Procedures of this type have been<br />
described by Binford (1978) and Lyman (1977;<br />
1979). These approaches consider faunal remains<br />
as animal parts rather than as whole animals.<br />
The potential resource value (in terms of meat,<br />
fat, sinew, grease) is estimated for each bone<br />
fragment type and multiplied by the bone element<br />
frequency. The output of this kind of analysis<br />
is a description of the resources represented,<br />
not an estimate of the proportion of each species