Prediction of Spatiotemporal Invasive Risk by the Red Imported Fire Ant (Hymenoptera: Formicidae) in South Korea
Autor: | Wang-Hee Lee, Youngjin Park, Dae-hyeon Byeon, Heung-Sik Lee, Jong-Ho Lee, Sunghoon Jung |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
Species distribution Climate change Distribution (economics) digital mapping Hymenoptera 010603 evolutionary biology 01 natural sciences Invasive species Red imported fire ant lcsh:Agriculture climatic suitability potential distribution biology business.industry lcsh:S Forestry Baseline data biology.organism_classification invasive-risk analysis 010602 entomology Geography CLIMEX Period (geology) business Agronomy and Crop Science |
Zdroj: | Agronomy Volume 10 Issue 6 Agronomy, Vol 10, Iss 875, p 875 (2020) |
ISSN: | 2073-4395 |
Popis: | In this study, we analyzed the potential distribution of red imported fire ant, Solenopsis invicta Buren (Hymenoptera: Formicidae), in response to climate change in South Korea using CLIMEX, a species distribution model. We further attempted to evaluate the risk of the distribution/invasion and subsequent dispersion by considering climatic suitability, and functional characteristics of cities and covered cultivated areas. The climatic suitability has extended from the southern and coastal regions to inland regions due to climate change. The number of areas with EI (Ecoclimatic Index) values of more than 20 was 9 (12%) in the current climate the value was assumed to increase to 23% (2040), 24% (2060), 42% (2080), and 62% (2100) from the South Korea coast to inland. We predicted that May to October would be the most active period in seven domestic high-habitation areas. We also analyzed the invasive risk of the red imported fire ant into covered domestic cultivation areas. Considering climatic suitability, we determined that Jeju, Pohang, Busan, Ulsan, Mokpo, and Gosan would be the most affected areas. This study can provide baseline data for the management of invasive species nationally and for regional control through predictions of the probability of settlement and direction of spread. |
Databáze: | OpenAIRE |
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