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Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns
Research into geographical invasions of red imported fire ants (RIFAs) by anthropogenic disturbances has received much attention. However, little is known about how land-use change and the characteristics of roads with different land-use types are associated with the risk of RIFA successful invasion...
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/PMC9345980/ https://www.ncbi.nlm.nih.gov/pubmed/35918367 http://dx.doi.org/10.1038/s41598-022-15399-w |
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author | Lin, Chia-Hsien Liu, Yi-Huei Huang, Rong-Nan Lin, Chung-Chi Liu, Helen Kang-Huey Wen, Tzai-Hung |
author_facet | Lin, Chia-Hsien Liu, Yi-Huei Huang, Rong-Nan Lin, Chung-Chi Liu, Helen Kang-Huey Wen, Tzai-Hung |
author_sort | Lin, Chia-Hsien |
collection | PubMed |
description | Research into geographical invasions of red imported fire ants (RIFAs) by anthropogenic disturbances has received much attention. However, little is known about how land-use change and the characteristics of roads with different land-use types are associated with the risk of RIFA successful invasion or remaining at the highest level of invasion (RIFA SIRH). Furthermore, it was often assumed in prior studies that the risk of RIFA SIRH had a linear association with the independent variables. However, a linear relationship may not reflect the actual circumstances. In this study, we applied linear and nonlinear approaches to assess how land-use types, distance from the nearest road, different land-use types, and spatial factors affect the risk of RIFA SIRH. The results showed that agricultural land, land for transportation usage, and areas that had undergone land-use change from 2014 to 2017 had greater odds of RIFA invasion than natural land cover. We also identified land for transportation usage and the area of land-use change from 2014 to 2017, had more than 60% of RIFA SIRH within 350 m and 150 m from the nearest road. This study provided important insights into RIFA invasions in an isolated island and the areas of control strategies implemented. |
format | Online Article Text |
id | pubmed-9345980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93459802022-08-04 Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns Lin, Chia-Hsien Liu, Yi-Huei Huang, Rong-Nan Lin, Chung-Chi Liu, Helen Kang-Huey Wen, Tzai-Hung Sci Rep Article Research into geographical invasions of red imported fire ants (RIFAs) by anthropogenic disturbances has received much attention. However, little is known about how land-use change and the characteristics of roads with different land-use types are associated with the risk of RIFA successful invasion or remaining at the highest level of invasion (RIFA SIRH). Furthermore, it was often assumed in prior studies that the risk of RIFA SIRH had a linear association with the independent variables. However, a linear relationship may not reflect the actual circumstances. In this study, we applied linear and nonlinear approaches to assess how land-use types, distance from the nearest road, different land-use types, and spatial factors affect the risk of RIFA SIRH. The results showed that agricultural land, land for transportation usage, and areas that had undergone land-use change from 2014 to 2017 had greater odds of RIFA invasion than natural land cover. We also identified land for transportation usage and the area of land-use change from 2014 to 2017, had more than 60% of RIFA SIRH within 350 m and 150 m from the nearest road. This study provided important insights into RIFA invasions in an isolated island and the areas of control strategies implemented. Nature Publishing Group UK 2022-08-02 /pmc/articles/PMC9345980/ /pubmed/35918367 http://dx.doi.org/10.1038/s41598-022-15399-w 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 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 Lin, Chia-Hsien Liu, Yi-Huei Huang, Rong-Nan Lin, Chung-Chi Liu, Helen Kang-Huey Wen, Tzai-Hung Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns |
title | Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns |
title_full | Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns |
title_fullStr | Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns |
title_full_unstemmed | Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns |
title_short | Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns |
title_sort | modeling geographical invasions of solenopsis invicta influenced by land-use patterns |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345980/ https://www.ncbi.nlm.nih.gov/pubmed/35918367 http://dx.doi.org/10.1038/s41598-022-15399-w |
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