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dc.contributor.authorTepa-Yotto, Ghislain T.
dc.contributor.authorTonnang, Henri E. Z.
dc.contributor.authorGoergen, Georg
dc.contributor.authorSubramanian, Sevgan
dc.contributor.authorKimathi, Emily
dc.contributor.authorAbdel-Rahman, Elfatih M.
dc.contributor.authorFlø, Daniel
dc.contributor.authorThunes, Karl H
dc.contributor.authorFiaboe, Komi K. M.
dc.contributor.authorNiassy, Saliou
dc.contributor.authorBruce, Anani
dc.contributor.authorMohamed, Samira A.
dc.contributor.authorTamò, Manuele
dc.contributor.authorEkesi, Sunday
dc.contributor.authorSæthre, May-Guri
dc.date.accessioned2021-06-30T12:04:58Z
dc.date.available2021-06-30T12:04:58Z
dc.date.created2021-04-07T22:51:42Z
dc.date.issued2021-03-24
dc.identifier.citationInsects. 2021, 12 (4), .en_US
dc.identifier.issn2075-4450
dc.identifier.urihttps://hdl.handle.net/11250/2762568
dc.description.abstractSimple Summary: The fall armyworm (FAW), Spodoptera frugiperda has now become a pest of global importance. Its introduction and detection in Africa in 2016, and subsequent introduction and spread into Asia and Australia, has put several millions of food producers and maize farmers at risk. Not all pest management strategies are sustainable. Biological control with the use of parasitoid wasps is one of the durable and environmentally sound options. The present study was initiated to predict the habitats of high establishment potential of key parasitoids of FAW in South America, which might prove to be effective as classical biological control agents of FAW in regions where it is an invasive species under current and future climate scenarios. The prospective parasitoids are the following: Chelonus insularis, Cotesia marginiventris, Eiphosoma laphygmae, Telenomus remus and Trichogramma pretiosum. The results demonstrate overlapping habitat suitability areas of the pest and the parasitoids, suggesting promises for biological control options for the management of FAW under current and future climate scenarios. Abstract: The present study is the first modeling effort at a global scale to predict habitat suitability of fall armyworm (FAW), Spodoptera frugiperda and its key parasitoids, namely Chelonus insularis, Cotesia marginiventris, Eiphosoma laphygmae, Telenomus remus and Trichogramma pretiosum, 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.en_US
dc.language.isoengen_US
dc.publisherMDPI, Basel, Switzerlanden_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleGlobal Habitat Suitability of Spodoptera frugiperda (JE Smith) (Lepidoptera, Noctuidae): Key Parasitoids Considered for Its Biological Controlen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 by the authorsen_US
dc.source.pagenumber17en_US
dc.source.volume12en_US
dc.source.journalInsectsen_US
dc.source.issue4en_US
dc.identifier.doi10.3390/insects12040273
dc.identifier.cristin1902869
dc.relation.projectEU/FOOD/2018/402-634en_US
dc.source.articlenumber273en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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