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Spotted lanternfly predicted to establish in California by 2033 without preventative management
Models that are both spatially and temporally dynamic are needed to forecast where and when non-native pests and pathogens are likely to spread, to provide advance information for natural resource managers. The potential US range of the invasive spotted lanternfly (SLF, Lycorma delicatula) has been...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177847/ https://www.ncbi.nlm.nih.gov/pubmed/35676315 http://dx.doi.org/10.1038/s42003-022-03447-0 |
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author | Jones, Chris Skrip, Megan M. Seliger, Benjamin J. Jones, Shannon Wakie, Tewodros Takeuchi, Yu Petras, Vaclav Petrasova, Anna Meentemeyer, Ross K. |
author_facet | Jones, Chris Skrip, Megan M. Seliger, Benjamin J. Jones, Shannon Wakie, Tewodros Takeuchi, Yu Petras, Vaclav Petrasova, Anna Meentemeyer, Ross K. |
author_sort | Jones, Chris |
collection | PubMed |
description | Models that are both spatially and temporally dynamic are needed to forecast where and when non-native pests and pathogens are likely to spread, to provide advance information for natural resource managers. The potential US range of the invasive spotted lanternfly (SLF, Lycorma delicatula) has been modeled, but until now, when it could reach the West Coast’s multi-billion-dollar fruit industry has been unknown. We used process-based modeling to forecast the spread of SLF assuming no treatments to control populations occur. We found that SLF has a low probability of first reaching the grape-producing counties of California by 2027 and a high probability by 2033. Our study demonstrates the importance of spatio-temporal modeling for predicting the spread of invasive species to serve as an early alert for growers and other decision makers to prepare for impending risks of SLF invasion. It also provides a baseline for comparing future control options. |
format | Online Article Text |
id | pubmed-9177847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91778472022-06-10 Spotted lanternfly predicted to establish in California by 2033 without preventative management Jones, Chris Skrip, Megan M. Seliger, Benjamin J. Jones, Shannon Wakie, Tewodros Takeuchi, Yu Petras, Vaclav Petrasova, Anna Meentemeyer, Ross K. Commun Biol Article Models that are both spatially and temporally dynamic are needed to forecast where and when non-native pests and pathogens are likely to spread, to provide advance information for natural resource managers. The potential US range of the invasive spotted lanternfly (SLF, Lycorma delicatula) has been modeled, but until now, when it could reach the West Coast’s multi-billion-dollar fruit industry has been unknown. We used process-based modeling to forecast the spread of SLF assuming no treatments to control populations occur. We found that SLF has a low probability of first reaching the grape-producing counties of California by 2027 and a high probability by 2033. Our study demonstrates the importance of spatio-temporal modeling for predicting the spread of invasive species to serve as an early alert for growers and other decision makers to prepare for impending risks of SLF invasion. It also provides a baseline for comparing future control options. Nature Publishing Group UK 2022-06-08 /pmc/articles/PMC9177847/ /pubmed/35676315 http://dx.doi.org/10.1038/s42003-022-03447-0 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jones, Chris Skrip, Megan M. Seliger, Benjamin J. Jones, Shannon Wakie, Tewodros Takeuchi, Yu Petras, Vaclav Petrasova, Anna Meentemeyer, Ross K. Spotted lanternfly predicted to establish in California by 2033 without preventative management |
title | Spotted lanternfly predicted to establish in California by 2033 without preventative management |
title_full | Spotted lanternfly predicted to establish in California by 2033 without preventative management |
title_fullStr | Spotted lanternfly predicted to establish in California by 2033 without preventative management |
title_full_unstemmed | Spotted lanternfly predicted to establish in California by 2033 without preventative management |
title_short | Spotted lanternfly predicted to establish in California by 2033 without preventative management |
title_sort | spotted lanternfly predicted to establish in california by 2033 without preventative management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177847/ https://www.ncbi.nlm.nih.gov/pubmed/35676315 http://dx.doi.org/10.1038/s42003-022-03447-0 |
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