Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control

The present study is the first modeling effort at a global scale to predict habitat suitability of fall armyworm (FAW), <i>Spodoptera frugiperda</i> and its key parasitoids, namely <i>Chelonus insularis</i>, <i>Cotesia marginiventris,</i><i>Eiphosoma laphygm...

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Main Authors: Ghislain T. Tepa-Yotto, Henri E. Z. Tonnang, Georg Goergen, Sevgan Subramanian, Emily Kimathi, Elfatih M. Abdel-Rahman, Daniel Flø, Karl H. Thunes, Komi K. M. Fiaboe, Saliou Niassy, Anani Bruce, Samira A. Mohamed, Manuele Tamò, Sunday Ekesi, May-Guri Sæthre
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Insects
Subjects:
Online Access:https://www.mdpi.com/2075-4450/12/4/273
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spelling doaj-5622edfff2b343b0934f4786cd2c543d2021-03-25T00:00:04ZengMDPI AGInsects2075-44502021-03-011227327310.3390/insects12040273Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological ControlGhislain T. Tepa-Yotto0Henri E. Z. Tonnang1Georg Goergen2Sevgan Subramanian3Emily Kimathi4Elfatih M. Abdel-Rahman5Daniel Flø6Karl H. Thunes7Komi K. M. Fiaboe8Saliou Niassy9Anani Bruce10Samira A. Mohamed11Manuele Tamò12Sunday Ekesi13May-Guri Sæthre14Biorisk Management Facility (BIMAF), International Institute of Tropical Agriculture (IITA-Benin), 08-01000 Cotonou, BeninPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaBiorisk Management Facility (BIMAF), International Institute of Tropical Agriculture (IITA-Benin), 08-01000 Cotonou, BeninPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaNorwegian Scientific Committee for Food and Environment (VKM), 0213 Oslo, NorwayPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaDepartment of Integrated Pest Management, International Institute of Tropical Agriculture (IITA-Cameroon), BP-2008 Messa-Yaounde, CameroonPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaGlobal Maize Program, International Maize and Wheat Improvement Center (CIMMYT), 1041-00621 Nairobi, KenyaPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaBiorisk Management Facility (BIMAF), International Institute of Tropical Agriculture (IITA-Benin), 08-01000 Cotonou, BeninPlant Health Theme, International Centre of Insect Physiology and Ecology (<i>icipe</i>), Nairobi 30772-00100, KenyaDepartment for Climate, Energy and Environment, Section for Environment and Food Security, Norwegian Agency for Development and Cooperation (NORAD), 0257 Oslo, NorwayThe present study is the first modeling effort at a global scale to predict habitat suitability of fall armyworm (FAW), <i>Spodoptera frugiperda</i> and its key parasitoids, namely <i>Chelonus insularis</i>, <i>Cotesia marginiventris,</i><i>Eiphosoma laphygmae,</i><i>Telenomus remus</i> and <i>Trichogramma pretiosum</i>, to be considered for biological control. An adjusted procedure of a machine-learning algorithm, the maximum entropy (Maxent), was applied for the modeling experiments. Model predictions showed particularly high establishment potential of the five hymenopteran parasitoids in areas that are heavily affected by FAW (like the coastal belt of West Africa from Côte d’Ivoire (Ivory Coast) to Nigeria, the Congo basin to Eastern Africa, Eastern, Southern and Southeastern Asia and some portions of Eastern Australia) and those of potential invasion risks (western & southern Europe). These habitats can be priority sites for scaling FAW biocontrol efforts. In the context of global warming and the event of accidental FAW introduction, warmer parts of Europe are at high risk. The effect of winter on the survival and life cycle of the pest in Europe and other temperate regions of the world are discussed in this paper. Overall, the models provide pioneering information to guide decision making for biological-based medium and long-term management of FAW across the globe.https://www.mdpi.com/2075-4450/12/4/273fall armywormclimate changepest managementmachine-learning algorithmdecision support
collection DOAJ
language English
format Article
sources DOAJ
author Ghislain T. Tepa-Yotto
Henri E. Z. Tonnang
Georg Goergen
Sevgan Subramanian
Emily Kimathi
Elfatih M. Abdel-Rahman
Daniel Flø
Karl H. Thunes
Komi K. M. Fiaboe
Saliou Niassy
Anani Bruce
Samira A. Mohamed
Manuele Tamò
Sunday Ekesi
May-Guri Sæthre
spellingShingle Ghislain T. Tepa-Yotto
Henri E. Z. Tonnang
Georg Goergen
Sevgan Subramanian
Emily Kimathi
Elfatih M. Abdel-Rahman
Daniel Flø
Karl H. Thunes
Komi K. M. Fiaboe
Saliou Niassy
Anani Bruce
Samira A. Mohamed
Manuele Tamò
Sunday Ekesi
May-Guri Sæthre
Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control
Insects
fall armyworm
climate change
pest management
machine-learning algorithm
decision support
author_facet Ghislain T. Tepa-Yotto
Henri E. Z. Tonnang
Georg Goergen
Sevgan Subramanian
Emily Kimathi
Elfatih M. Abdel-Rahman
Daniel Flø
Karl H. Thunes
Komi K. M. Fiaboe
Saliou Niassy
Anani Bruce
Samira A. Mohamed
Manuele Tamò
Sunday Ekesi
May-Guri Sæthre
author_sort Ghislain T. Tepa-Yotto
title Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control
title_short Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control
title_full Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control
title_fullStr Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control
title_full_unstemmed Global Habitat Suitability of <i>Spodoptera frugiperda</i> (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Control
title_sort global habitat suitability of <i>spodoptera frugiperda</i> (je smith) (lepidoptera, noctuidae): key parasitoids considered for its biological control
publisher MDPI AG
series Insects
issn 2075-4450
publishDate 2021-03-01
description The present study is the first modeling effort at a global scale to predict habitat suitability of fall armyworm (FAW), <i>Spodoptera frugiperda</i> and its key parasitoids, namely <i>Chelonus insularis</i>, <i>Cotesia marginiventris,</i><i>Eiphosoma laphygmae,</i><i>Telenomus remus</i> and <i>Trichogramma pretiosum</i>, to be considered for biological control. An adjusted procedure of a machine-learning algorithm, the maximum entropy (Maxent), was applied for the modeling experiments. Model predictions showed particularly high establishment potential of the five hymenopteran parasitoids in areas that are heavily affected by FAW (like the coastal belt of West Africa from Côte d’Ivoire (Ivory Coast) to Nigeria, the Congo basin to Eastern Africa, Eastern, Southern and Southeastern Asia and some portions of Eastern Australia) and those of potential invasion risks (western & southern Europe). These habitats can be priority sites for scaling FAW biocontrol efforts. In the context of global warming and the event of accidental FAW introduction, warmer parts of Europe are at high risk. The effect of winter on the survival and life cycle of the pest in Europe and other temperate regions of the world are discussed in this paper. Overall, the models provide pioneering information to guide decision making for biological-based medium and long-term management of FAW across the globe.
topic fall armyworm
climate change
pest management
machine-learning algorithm
decision support
url https://www.mdpi.com/2075-4450/12/4/273
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