Glossina or tsetse flies, the vectors of sleeping sickness, form a uni
que group of insects with remarkable characteristics. They are vivipar
ous with a slow rhythm of reproduction (one larva approximately every
10 days) determined by the regular ovulation of alternate ovaries. Thi
s unusual physiology enables the age of the females to be estimated by
examining the ovaries. The resulting ovarian age structure of tsetse
fly populations has been used to develop research into the demography
of tsetse flies. Several authors have proposed methods of estimating p
opulation growth rates from ovarian age distribution data. However, su
ch methods are applicable only when the growth rate (lambda) is equal
to 1 (i.e. the intrinsic rate of increase r is equal to 0). In fact, i
n this type of estimation, the adult survival rate a (or equivalently
the mortality rate) cannot be dissociated from the growth rate. Other
independently determined demographic parameters must be used to remove
this lack of identifiability. We have built a matrix model of the dyn
amics of tsetse fly populations which enables the growth rate to be ca
lculated from the pupal survival rate, the pupal period and the adult
survival rate. Assuming that the age-groups of the population studied
have reached a stable distribution, it is possible to calculate the pr
obabilities for the observed sample of belonging to each of the age-gr
oups, to construct a likelihood function and thus to obtain an estimat
e of the 'apparent survival rate' beta = a/lambda If the pupal surviva
l rate and the pupal period are known, a and lambda can then be calcul
ated from beta. The application of this method to data collected for o
ver two annual cycles in a savannah habitat (Burkina-Faso) showed a hi
gh overall stability in the populations of Glossina palpalis gambiensi
s. Seasonal fluctuations could be easily interpreted as being the resu
lt of climatic changes between the dry and rainy seasons.