Plains Indian Studies - Smithsonian Institution Libraries
Plains Indian Studies - Smithsonian Institution Libraries
Plains Indian Studies - Smithsonian Institution Libraries
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164 SMITHSONIAN CONTRIBUTIONS TO ANTHROPOLOGY<br />
use Statistical techniques to test for them empirically<br />
(e.g., Binford, 1978:88; Reher, 1977:33, for<br />
bison processing).<br />
Grayson's (1973) contrast between minimum<br />
and maximum distinction methods in the calculation<br />
of MNI corrects for interdependence on a<br />
locational rather than an anatomical basis. He<br />
notes that MNI values for taxa in a whole sample<br />
are larger when calculated by summing subtotal<br />
MNI for each excavation unit than when calculated<br />
by taking the whole site sample together.<br />
By reducing the number of stratigraphic distinctions<br />
used in making the calculation, the size of<br />
the site area seen as likely to produce interdependent<br />
specimens is increased. By making the<br />
number of stratigraphic distinctions large, on the<br />
other hand, the zooarcheologist implies his conviction<br />
that interdependence is limited to small<br />
site areas. This is precisely the operation Parmalee<br />
is performing when he sums the MNI for birds<br />
across sites. He implies a lack of interdependence<br />
between sites but strong interdependence within<br />
sites. Krantz (1968) also has proposed a method<br />
for estimating species frequency by using a kind<br />
of a measure of sample interdependence. He suggests<br />
that the proportion of pairable right and<br />
left bone fragments of the same element type<br />
(e.g., the number of cases in which it can be<br />
shown that pairs of right and left mandibles came<br />
from the same individual) compared to the total<br />
number of fragments of that element is related to<br />
the proportion of the whole finds population that<br />
is actually recovered. Krantz's equation relating<br />
the number of pairs to the number of animals in<br />
the finds collection is a hyperbolic relationship<br />
(Casteel, 1977). At low levels of pairing, an enormous<br />
change in the estimated number of individuals<br />
is produced by a loss or gain of one pairing.<br />
Since in practice it is extremely difficult to establish<br />
pairs, the potential for error in a sample of<br />
low interdependence is tremendous.<br />
Considerable attention has been paid to the<br />
relationship between MNI and total fragment<br />
count E. For instance, Casteel (1976-1977) used<br />
a sample of 610 pairs of data (MNI and E),<br />
drawn from a wide variety of archeological and<br />
paleontological studies. By plotting MNI against<br />
E, he produced a curvilinear relationship when E<br />
is less than 1000 specimens and a linear relationship<br />
when E is greater than 1000 specimens.<br />
Grayson (1978) and Ducos (1975:42, note 1) have<br />
also reported a curvilinear relationship. Casteel<br />
(1976-1977:142-145) has provided a succinct<br />
summary of other analyses. King (1978) also plotted<br />
the relationship of MNI to E for a wide<br />
variety of sites but partitioned his sample into<br />
subsamples composed of the values for cows, pigs,<br />
and sheep (King, 1978, fig. 2).<br />
This observation has led some workers to the<br />
conclusion that MNI values cannot be compared<br />
when the difference between the size of the samples<br />
used to compute them is great. This conclusion<br />
is in error. The nature of the MNI statistic<br />
does not imply this curvilinear relationship. The<br />
slope of the line that relates MNI and E for any<br />
group of samples is controlled by the probability<br />
of recovering the most common type of bone<br />
element. In cases where only one element type<br />
has distinctive morphological features permitting<br />
the identification of the taxon, the slope of the<br />
plot MNI to E for a group of samples of this<br />
taxon is equal to 1. No matter how big or how<br />
small the sample, each bone fragment identified<br />
necessarily increases the MNI by 1. In taxa where<br />
several element types have distinctive morphological<br />
features the situation is more complex. The<br />
upper limit of the slope is 1; the case where,<br />
despite the fact that there are several potentially<br />
recognizable bone element types, only one type is<br />
actually recovered. The lower limit of the slope is<br />
defined by the situation where each of the possible<br />
element types are found in equal proportions. On<br />
the average, one of each of the element types<br />
accumulates in the process of identification before<br />
the MNI increases by one. Figure 25 illustrates<br />
this range of potential slopes for a species with 10<br />
potentially identifiable element types. The upper<br />
limit of the slope is shown by "a": each bone<br />
fragment identified for the taxon is the same kind<br />
of bone element. The lower limit is "b": all 10<br />
element types are found in equal proportions. As<br />
the number of identifiable bone elements in-