期刊
JOURNAL OF ASIA-PACIFIC ENTOMOLOGY
卷 24, 期 2, 页码 279-287出版社
KOREAN SOC APPLIED ENTOMOLOGY
DOI: 10.1016/j.aspen.2021.01.007
关键词
CLIMEX; Ensemble modeling; Invasion risk; Maxent; Longhorn crazy ant
类别
资金
- Research of Animal and Plant Quarantine Agency, South Korea [PQ20204A017]
- Institute of Planning & Evaluation for Technology in Food, Agriculture, Forestry & Fisheries (iPET), Republic of Korea [PQ20204A017] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [5120200213620] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
This study utilized CLIMEX and Maxent models to predict the potential distribution of longhorn crazy ants in response to climate change, identifying temperature-related variables as the main factors influencing their habitat. High-risk areas were found to be mainly located along the coasts in South Korea, with expectations of expansion due to climate change.
The longhorn crazy ant (Paratrechina longicornis) is a globally distributed ant species with a high invasion risk, suggesting the need to use species distribution modeling to evaluate its potential distribution. Therefore, this study aimed to predict the potential distribution of longhorn crazy ants in response to climate change by using CLIMEX and Maxent and identifying the climatic factors that influence their habitat. Then, the model outcomes were used to construct an ensemble map to evaluate invasion risk in South Korea. The results indicated that temperature-related variables mainly affect the distribution of the longhorn crazy ant, and the two models showed consensus regions in South America, Africa, Australia, and Southeast Asia. Due to climate change, it was expected that the northern limit would somewhat rise. In South Korea, high-risk areas were predicted to be located along the coasts, but they would expand as a consequence of climate change. Since the invasion of longhorn crazy ants has occurred via commercial trades, a relatively high risk in coastal areas demands a high level of attention. We expect that this study will provide initial insight into selecting areas for longhorn crazy ant quarantine with ensemble species distribution modeling.
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