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Estimation of age-dependent survival rates of female tsetse flies (Diptera: Glossinidae) from ovarian age distributions

Published online by Cambridge University Press:  09 March 2007

M. Jarry ,
J.P. Gouteux  and
M. Khaladi
M. Jarry*
Affiliation:
IRD (ex ORSTOM) – UPPA Laboratory of Molecular Ecology, IBEAS, Avenue de l'Université, 64000 Pau, France:
J.P. Gouteux
Affiliation:
Department of Mathematics, Université Cadi Ayyad, Marrakech, Morocco
M. Khaladi
Affiliation:
Department of Mathematics, Université Cadi Ayyad, Marrakech, Morocco
*
* Fax: 05 59 80 83 11 E-mail: [email protected]
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Abstract

Existing attempts to estimate the survival rate of tsetse flies from ovarian age distributions generally assume that the population is stationary. The fact that the survival rate cannot be dissociated from the growth rate by these methods poses a problem. Under the assumption of a stable age distribution, we propose a maximum likelihood method to estimate the ‘apparent survival rate’ for three categories of females: nulliparous (β0), young parous (β1) and old parous flies (β2). The rate depends both on ‘real survival rates’ a0, a1 and a2, and a growth rate λ: β0 = a0/λ, β1 = a1/λ, and β2= a2/λ. We used a matrix model, which can be parameterized if the pupal survival rate and the pupal period are known. Replacing a0, a1 and a2 by β0,λ, β1λ, and β2λin the projection matrix, the problem amounts to calculating its dominant eigen-value λ, and hence a0, a1 and a2. The application to a field population of Glossina palpalis gambiensis Vanderplank in Burkina Faso showed there was a marked difference in survival rate according to age category. The average survival rate increased with age with decreasing variability. The results suggested that sampling (by trapping) may have had an effect on the dynamics of this tsetse population by ageing it artificially. This method may be a useful tool for monitoring tsetse control.

Type
Research Article
Information
Bulletin of Entomological Research , Volume 89 , Issue 6 , December 1999 , pp. 515 - 521
Copyright
Copyright © Cambridge University Press 1999

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