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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Insects |
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| Online Access: | https://www.mdpi.com/2075-4450/12/4/273 |
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| 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 |
| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T12:57:59Z |
| format | Article |
| id | doaj.art-5622edfff2b343b0934f4786cd2c543d |
| institution | Directory Open Access Journal |
| issn | 2075-4450 |
| language | English |
| last_indexed | 2024-03-10T12:57:59Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Insects |
| spelling | doaj.art-5622edfff2b343b0934f4786cd2c543d2023-11-21T11:45:10ZengMDPI AGInsects2075-44502021-03-0112427310.3390/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 |
| 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 |
| title | 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_short | 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 |
| 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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