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Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change
The Egyptian cotton leafworm, Spodoptera littoralis is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essent...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570271/ https://www.ncbi.nlm.nih.gov/pubmed/37828108 http://dx.doi.org/10.1038/s41598-023-44441-8 |
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author | ElShahed, Sara M. Mostafa, Zahia K. Radwan, Marwa H. Hosni, Eslam M. |
author_facet | ElShahed, Sara M. Mostafa, Zahia K. Radwan, Marwa H. Hosni, Eslam M. |
author_sort | ElShahed, Sara M. |
collection | PubMed |
description | The Egyptian cotton leafworm, Spodoptera littoralis is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the S. littoralis is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the Middle East and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards Northern Europe and the Americas. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account. |
format | Online Article Text |
id | pubmed-10570271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105702712023-10-14 Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change ElShahed, Sara M. Mostafa, Zahia K. Radwan, Marwa H. Hosni, Eslam M. Sci Rep Article The Egyptian cotton leafworm, Spodoptera littoralis is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the S. littoralis is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the Middle East and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards Northern Europe and the Americas. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account. Nature Publishing Group UK 2023-10-12 /pmc/articles/PMC10570271/ /pubmed/37828108 http://dx.doi.org/10.1038/s41598-023-44441-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article ElShahed, Sara M. Mostafa, Zahia K. Radwan, Marwa H. Hosni, Eslam M. Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change |
title | Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change |
title_full | Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change |
title_fullStr | Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change |
title_full_unstemmed | Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change |
title_short | Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change |
title_sort | modeling the potential global distribution of the egyptian cotton leafworm, spodoptera littoralis under climate change |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570271/ https://www.ncbi.nlm.nih.gov/pubmed/37828108 http://dx.doi.org/10.1038/s41598-023-44441-8 |
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