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The estimation of sampling biases for male tsetse

Published online by Cambridge University Press:  19 September 2011

David J. Rogers
David J. Rogers
Affiliation:
Department of Zoology, South Parks Road, Oxford OX1 3PS, England
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Abstract

A method is suggested for estimating sampling biases for male tsetse, based on the assumptions of the classical feeding cycle “model”. Sampling intensity for any particular method is denned as the catch of flies in different segments of the non-feeding phase of their current cycles, expressed as a percentage of the catch of flies that are just entering the feeding phase. Two examples are given, of Glossina palpalis in Nigeria and G. morsitans in Zambia. In both cases, sampling intensity is low just after feeding and increases slowly at first, and then rapidly as flies enter the feeding phase.

Flies in their feeding phase can apparently find and feed on hosts within one day. Feeding rates are inversely related to the fat content of flies entering the feeding phase of their current cycle, whilst rates of fat usage increase with this variable. These results suggest that it is important to distinguish between tsetse flight activity in general, and feeding behaviour in particular. Finally, it is emphasised that the analytical technique proposed depends on our still inadequate understanding of the field behaviour of flies.

Keywords

Tsetsesampling biasesfeeding cycle model
Type
Research Article
Information
International Journal of Tropical Insect Science , Volume 5 , Special Issue 5: Tsetse Behaviour and Population Ecology , October 1984 , pp. 369 - 373
Copyright
Copyright © ICIPE 1984

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References

REFERENCES

Brady, J. (1975) “Hunger” in the tsetse fly: the nutritional correlates of behaviour. J. Insect Physiol. 21, 807–828.CrossRefGoogle ScholarPubMed
Ford, J., Maudlin, I. and Humphryes, K. C. (1972) Comparisons between three small collections of Glossina mor-sitans morsitans (Machado) (Diptera: Glossinidae) from the Kilombera River Valley, Tanzania. Part 1. Characteristics of flies exhibiting different patterns of behaviour. Acta tropica 29, 231–249.Google Scholar
Glasgow, J. P. (1963) The Distribution and Abundance of Tsetse. Pergamon Press, Oxford.Google Scholar
HMSO (1958) Tables of temperature, relative humidity and precipitation for the World. Part IV. Africa, the Atlantic Ocean South of 35°N and the Indian Ocean. HMSO. London.Google Scholar
Jackson, C. H. N. (1933) The causes and implications of hunger in tsetse-flies. Bull. ent. Res. 24, 443–182.CrossRefGoogle Scholar
Macdonald, P. D. (1970) Unpublished D. Phil. Thesis, Oxford.Google Scholar
Morris, K. R. S. and Morris, M. G. (1949) The use of traps against tsetse in West Africa. Bull. ent. Res. 39, 491–528.CrossRefGoogle ScholarPubMed
Randolph, S. E. and Rogers, D. J. (1978) Feeding cycles and flight activity in field populations of tsetse (Diptera: Glossinidae). Bull. ent. Res. 68, 655–671.CrossRefGoogle Scholar
Randolph, S. E. and Rogers, D. J. (1981) Physiological correlates of the availability of Glossina morsitans cen-tralis Machado to different sampling methods. Ecol. Ent. 6, 63–77.CrossRefGoogle Scholar
Rogers, D. J. (1977) Study of a natural population of Glossina fuscipes fuscipes Newstead and a model of fly movement. J. Anim. Ecol. 46, 281–307.CrossRefGoogle Scholar
Rogers, D. J. (1979) Tsetse population dynamics and distribution: a new analytical approach. J. Anim. Ecol. 48, 825–849.CrossRefGoogle Scholar
Rogers, D. J. and Randolph, S. E. (1978) A comparison of electric-trap and hand-net catches of Glossina palpalis palpalis (Robineau-Desvoidy) and G. tachinoides West-wood (Diptera: Glossinidae) in the Sudan vegetation zone of northern Nigeria. Bull. ent. Res. 68, 283–297.CrossRefGoogle Scholar