Prediction of insect pest distribution as influenced by elevation: Combining field observations and temperature-dependent development models for the coffee stink bug, Antestiopsis thunbergii (Gmelin)

Azrag Abdelmutalab G.A., Pirk Christian W.W., Yusuf Abdullahi A., Pinard Fabrice, Niassy Saliou, Mosomtai Gladys, Babin Régis. 2018. Prediction of insect pest distribution as influenced by elevation: Combining field observations and temperature-dependent development models for the coffee stink bug, Antestiopsis thunbergii (Gmelin). PloS One, 13 (6):e0199569, 18 p.

https://doi.org/10.1371/journal.pone.0199569

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total

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Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/WQFFPV

Quartile : Q2, Sujet : MULTIDISCIPLINARY SCIENCES

Liste HCERES des revues (en SHS) : oui

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

Résumé : The antestia bug, Antestiopsis thunbergii (Gmelin 1790) is a major pest of Arabica coffee in Africa. The bug prefers coffee at the highest elevations, contrary to other major pests. The objectives of this study were to describe the relationship between A. thunbergii populations and elevation, to elucidate this relationship using our knowledge of the pest thermal biology and to predict the pest distribution under climate warming. Antestiopsis thunbergii population density was assessed in 24 coffee farms located along a transect delimited across an elevation gradient in the range 1000–1700 m asl, on Mt. Kilimanjaro, Tanzania. Density was assessed for three different climatic seasons, the cool dry season in June 2014 and 2015, the short rainy season in October 2014 and the warm dry season in January 2015. The pest distribution was predicted over the same transect using three risk indices: the establishment risk index (ERI), the generation index (GI) and the activity index (AI). These indices were computed using simulated life table parameters obtained from temperature-dependent development models and temperature data from 1) field records using data loggers deployed over the transect and 2) predictions for year 2055 extracted from AFRICLIM database. The observed population density was the highest during the cool dry season and increased significantly with increasing elevation. For current temperature, the ERI increased with an increase in elevation and was therefore distributed similarly to observed populations, contrary to the other indices. This result suggests that immature stage susceptibility to extreme temperatures was a key factor of population distribution as impacted by elevation. In the future, distribution of the risk indices globally indicated a decrease of the risk at low elevation and an increase of the risk at the highest elevations. Based on these results, we concluded with recommendations to mitigate the risk of A. thunbergii infestation.

Mots-clés Agrovoc : Coffea arabica, ravageur des plantes, altitude

Mots-clés géographiques Agrovoc : République-Unie de Tanzanie

Mots-clés complémentaires : Antestiopsis thunbergii

Classification Agris : H10 - Ravageurs des plantes
P40 - Météorologie et climatologie

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

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