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Use of remote sensing to determine target populations of glossines in Senegal

Bouyer J., Seck M.T., Sall B., Ndiaye E.Y., Guerrini L., Vreysen M.J.B.. 2011. In : Workshop "Towards a Multi-Scale approach for Improving Pest Management", Montpellier, October 4-5, 2011 : résumés. Montpellier : CIRAD, p. 13-13. Workshop "Towards a Multi-Scale approach for Improving Pest Management", 2011-10-04/2011-10-05, Montpellier (France).

The riverine tsetse species Glossina palpalis gambiensis Vanderplank 1949 (Diptera: Glossinidae) inhabits riparian forests along river systems in West Africa. The government of Senegal has embarked on a project to eliminate this tsetse species, and African animal trypanosomoses, from the Niayes area using an area-wide integrated pest management approach.A stratified entomological sampling strategy was therefore developed using spatial analytical tools, remote sensing and mathematical modeling. A preliminary phyto-sociological census identified eight types of suitable habitat, which could be discriminated from LandSat 7ETM+ satellite images and denominated wet areas. At the end of March 2009, 683 unbaited Vavoua traps had been deployed, and the observed infested area in the Niayes was 525 km2. In the remaining area, a mathematical model was used to assess the risk that flies were present despite a sequence of zero catches. The analysis showed that this risk was above 0.05 in 19% of this area that will be considered as infested during the control operations. The remote sensing analysis that identified the wet areas allowed a restriction of the area to be surveyed to 4% of the total surface area (7,150 km2), whereas the mathematical model provided an efficient method to improve the accuracy and the robustness of the sampling protocol. The study thus allowed defining the limits of the target population for the eradication campaign. This entomological sampling procedure might be used for other vector or pest control scenarios. (Texte intégral)

Mots-clés : glossina palpalis; télédétection; dynamique des populations; sénégal

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