Dispersal in heterogeneous environments drives population dynamics and control of tsetse flies

Cecilia Hélène, Arnoux Sandie, Picault Sébastien, Dicko Ahmadou, Seck Momar Talla, Sall Baba, Bassene Mireille, Vreysen Marc J.B., Pagabeleguem Soumaila, Bancé Augustin Z., Bouyer Jérémy, Ezanno Pauline. 2021. Dispersal in heterogeneous environments drives population dynamics and control of tsetse flies. Proceedings of the Royal Society B: Biological Sciences, 288 (1944):20202810, 10 p.

https://doi.org/10.1098/rspb.2020.2810

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Url - jeu de données - Entrepôt autre : https://sourcesup.renater.fr/projects/spatial-tsetse/

Quartile : Q1, Sujet : BIOLOGY / Quartile : Q1, Sujet : ECOLOGY / Quartile : Q1, Sujet : EVOLUTIONARY BIOLOGY

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Résumé : Spatio-temporally heterogeneous environments may lead to unexpected population dynamics. Knowledge is needed on local properties favouring population resilience at large scale. For pathogen vectors, such as tsetse flies transmitting human and animal African trypanosomosis, this is crucial to target management strategies. We developed a mechanistic spatio-temporal model of the age-structured population dynamics of tsetse flies, parametrized with field and laboratory data. It accounts for density- and temperature-dependence. The studied environment is heterogeneous, fragmented and dispersal is suitability-driven. We confirmed that temperature and adult mortality have a strong impact on tsetse populations. When homogeneously increasing adult mortality, control was less effective and induced faster population recovery in the coldest and temperature-stable locations, creating refuges. To optimally select locations to control, we assessed the potential impact of treating them and their contribution to the whole population. This heterogeneous control induced a similar population decrease, with more dispersed individuals. Control efficacy was no longer related to temperature. Dispersal was responsible for refuges at the interface between controlled and uncontrolled zones, where resurgence after control was very high. The early identification of refuges, which could jeopardize control efforts, is crucial. We recommend baseline data collection to characterize the ecosystem before implementing any measures.

Mots-clés Agrovoc : dynamique des populations, vecteur de maladie, Glossina palpalis, modélisation, trypanosomose africaine, biologie animale, surveillance épidémiologique

Mots-clés géographiques Agrovoc : Sénégal

Mots-clés libres : Disease vector, Mechanistic modelling, Spatio-temporal, Dynamics, Experimental and field data, Mortality scenario

Classification Agris : L72 - Organismes nuisibles des animaux
L50 - Physiologie et biochimie animales

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Agences de financement européennes : European Commission

Programme de financement européen : H2020

Projets sur financement : (EU) Revolutionizing Insect Control

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