Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe
With the development of globalization and agriculture trade, as well as its own strong migratory capacity, fall armyworm (FAW) (Spodoptera frugiperda) (J.E. Smith) has invaded more than 70 countries, posing a serious threat to the production of major crops in these areas. FAW has now also been detec...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2023.1141470/full |
| _version_ | 1797854057194323968 |
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| author | Jing Wang Yanru Huang Yanru Huang Yanru Huang Linsheng Huang Yingying Dong Yingying Dong Yingying Dong Wenjiang Huang Wenjiang Huang Wenjiang Huang Huiqin Ma Hansu Zhang Xueyan Zhang Xinyu Chen Yunlei Xu |
| author_facet | Jing Wang Yanru Huang Yanru Huang Yanru Huang Linsheng Huang Yingying Dong Yingying Dong Yingying Dong Wenjiang Huang Wenjiang Huang Wenjiang Huang Huiqin Ma Hansu Zhang Xueyan Zhang Xinyu Chen Yunlei Xu |
| author_sort | Jing Wang |
| collection | DOAJ |
| description | With the development of globalization and agriculture trade, as well as its own strong migratory capacity, fall armyworm (FAW) (Spodoptera frugiperda) (J.E. Smith) has invaded more than 70 countries, posing a serious threat to the production of major crops in these areas. FAW has now also been detected in Egypt in North Africa, putting Europe, which is separated from it only by the Mediterranean Sea, at high risk of invasion. Therefore, this study integrated multiple factors of insect source, host plant, and environment to provide a risk analysis of the potential trajectories and time periods of migration of FAW into Europe in 2016~2022. First, the CLIMEX model was used to predict the annual and seasonal suitable distribution of FAW. The HYSPLIT numerical trajectory model was then used to simulate the possibility of the FAW invasion of Europe through wind-driven dispersal. The results showed that the risk of FAW invasion between years was highly consistent (P<0.001). Coastal areas were most suitable for the expansion of the FAW, and Spain and Italy had the highest risk of invasion, with 39.08% and 32.20% of effective landing points respectively. Dynamic migration prediction based on spatio-temporal data can enable early warning of FAW, which is important for joint multinational pest management and crop protection. |
| first_indexed | 2024-04-09T20:00:55Z |
| format | Article |
| id | doaj.art-74c4c6b94ef24235952e3c393a6e345a |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-04-09T20:00:55Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-74c4c6b94ef24235952e3c393a6e345a2023-04-03T04:58:47ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2023-04-011410.3389/fpls.2023.11414701141470Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern EuropeJing Wang0Yanru Huang1Yanru Huang2Yanru Huang3Linsheng Huang4Yingying Dong5Yingying Dong6Yingying Dong7Wenjiang Huang8Wenjiang Huang9Wenjiang Huang10Huiqin Ma11Hansu Zhang12Xueyan Zhang13Xinyu Chen14Yunlei Xu15National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaNational Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou, ChinaNational Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei, ChinaCollege of Plant Protection, Nanjing Agricultural University, Nanjing, ChinaNational Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei, ChinaNational Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei, ChinaWith the development of globalization and agriculture trade, as well as its own strong migratory capacity, fall armyworm (FAW) (Spodoptera frugiperda) (J.E. Smith) has invaded more than 70 countries, posing a serious threat to the production of major crops in these areas. FAW has now also been detected in Egypt in North Africa, putting Europe, which is separated from it only by the Mediterranean Sea, at high risk of invasion. Therefore, this study integrated multiple factors of insect source, host plant, and environment to provide a risk analysis of the potential trajectories and time periods of migration of FAW into Europe in 2016~2022. First, the CLIMEX model was used to predict the annual and seasonal suitable distribution of FAW. The HYSPLIT numerical trajectory model was then used to simulate the possibility of the FAW invasion of Europe through wind-driven dispersal. The results showed that the risk of FAW invasion between years was highly consistent (P<0.001). Coastal areas were most suitable for the expansion of the FAW, and Spain and Italy had the highest risk of invasion, with 39.08% and 32.20% of effective landing points respectively. Dynamic migration prediction based on spatio-temporal data can enable early warning of FAW, which is important for joint multinational pest management and crop protection.https://www.frontiersin.org/articles/10.3389/fpls.2023.1141470/fullfall armyworminvasion riskmigratory simulationCLIMEXHYSPLIT |
| spellingShingle | Jing Wang Yanru Huang Yanru Huang Yanru Huang Linsheng Huang Yingying Dong Yingying Dong Yingying Dong Wenjiang Huang Wenjiang Huang Wenjiang Huang Huiqin Ma Hansu Zhang Xueyan Zhang Xinyu Chen Yunlei Xu Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe Frontiers in Plant Science fall armyworm invasion risk migratory simulation CLIMEX HYSPLIT |
| title | Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe |
| title_full | Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe |
| title_fullStr | Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe |
| title_full_unstemmed | Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe |
| title_short | Migration risk of fall armyworm (Spodoptera frugiperda) from North Africa to Southern Europe |
| title_sort | migration risk of fall armyworm spodoptera frugiperda from north africa to southern europe |
| topic | fall armyworm invasion risk migratory simulation CLIMEX HYSPLIT |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2023.1141470/full |
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