Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns
Abstract 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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-08-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-15399-w |
| _version_ | 1811342717325672448 |
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| author | Chia-Hsien Lin Yi-Huei Liu Rong-Nan Huang Chung-Chi Lin Helen Kang-Huey Liu Tzai-Hung Wen |
| author_facet | Chia-Hsien Lin Yi-Huei Liu Rong-Nan Huang Chung-Chi Lin Helen Kang-Huey Liu Tzai-Hung Wen |
| author_sort | Chia-Hsien Lin |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-13T19:16:56Z |
| format | Article |
| id | doaj.art-8add5950f877462e8f81e02595b185b2 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-13T19:16:56Z |
| publishDate | 2022-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-8add5950f877462e8f81e02595b185b22022-12-22T02:33:40ZengNature PortfolioScientific Reports2045-23222022-08-0112111310.1038/s41598-022-15399-wModeling geographical invasions of Solenopsis invicta influenced by land-use patternsChia-Hsien Lin0Yi-Huei Liu1Rong-Nan Huang2Chung-Chi Lin3Helen Kang-Huey Liu4Tzai-Hung Wen5Department of Geography, National Taiwan UniversityDepartment of Geography, National Taiwan UniversityDepartment of Entomology, National Taiwan UniversityDepartment of Biology, National Changhua University of EducationDepartment of Political Science, National Taiwan UniversityDepartment of Geography, National Taiwan UniversityAbstract 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.https://doi.org/10.1038/s41598-022-15399-w |
| spellingShingle | Chia-Hsien Lin Yi-Huei Liu Rong-Nan Huang Chung-Chi Lin Helen Kang-Huey Liu Tzai-Hung Wen Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-022-15399-w |
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