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)

Show simple item record Azrag, A.G.A. (Abdelmutalab) Pirk, Christian Walter Werner Yusuf, Abdullahi Ahmed Pinard, Fabrice Niassy, Saliou Mosomtai, Gladys Babin, Regis 2018-09-25T12:30:49Z 2018-09-25T12:30:49Z 2018-06-22
dc.description.abstract 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. en_ZA
dc.description.department Zoology and Entomology en_ZA
dc.description.librarian am2018 en_ZA
dc.description.sponsorship The Centre de CoopeÂration Internationale en Recherche Agronomique pour le DeÂveloppement (CIRAD), Montpellier, France,, in support of PhD student stipend (AGAA); CHIESA project (Climate Change Impacts on Ecosystem Services and Food Security in Eastern Africa) funded by the Ministry of Foreign Affairs of Finland, http://chiesa.icipe. org/, in support of laboratory and field experimentation; The German Academic Exchange Service (DAAD) In-Region Postgraduate Scholarship, in support of student stipends and school fees. International Centre of Insect Physiology and Ecology is core-funded by UK's Department for International Development (DFID), Swedish International Development Cooperation Agency, the Swiss Agency for Development and Cooperation (SDC) and the Kenyan Government. en_ZA
dc.description.uri en_ZA
dc.identifier.citation Azrag AGA, Pirk CWW, Yusuf AA, Pinard F, Niassy S, Mosomtai G, et al. (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. en_ZA
dc.identifier.issn 1932-6203 (online)
dc.identifier.other 10.1371/journal.pone.0199569
dc.language.iso en en_ZA
dc.publisher Public Library of Science en_ZA
dc.rights © 2018 Azrag et al. This is an open access article distributed under the terms of the Creative Commons Attribution License. en_ZA
dc.subject Climate change en_ZA
dc.subject Antestiopsis (Hemiptera, Pentatomidae) en_ZA
dc.subject Species distributions en_ZA
dc.subject Arabica coffee (Coffea arabica) en_ZA
dc.subject Abundance en_ZA
dc.subject Impacts en_ZA
dc.subject Insect pest distribution en_ZA
dc.subject Prediction en_ZA
dc.subject Elevation en_ZA
dc.subject Coffee stink bug (Antestiopsis thunbergii) en_ZA
dc.title 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) en_ZA
dc.type Article en_ZA

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