1. Prediction and Analysis of the Global Suitable Habitat of the Oryctes rhinoceros (Linnaeus, 1758) (Coleoptera: Scarabaeidae) Based on the MaxEnt Model.
- Author
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Fu, Chun, Qian, Qianqian, Deng, Xinqi, Zhuo, Zhihang, and Xu, Danping
- Abstract
Simple Summary: Biological invasions, such as those by the Asiatic rhinoceros beetle (Oryctes rhinoceros), threaten biodiversity, ecosystems, economies, and human health. This study used the MaxEnt model and ArcGIS software to predict the global distribution of this invasive beetle. The model identified areas with high suitability for the beetle mainly between 30° N and 30° S, particularly in South Asia, East Asia, Southeast Asia, and northern Oceania. Key environmental factors influencing its distribution include the amount of precipitation in the wettest month, temperatures in July and November, and precipitation in September. These findings can guide efforts to prevent and control the spread of this beetle and inform quarantine measures. The Asiatic rhinoceros beetle, Oryctes rhinoceros (Linnaeus, 1758) (Coleoptera: Scarabaeidae), is a destructive invasive species that poses a serious threat to palms, oil palms, and other plants. Defining a suitable area for the distribution of O. rhinoceros is essential for the development of appropriate policies and preventive measures. In this work, the MaxEnt niche model and ArcGIS software were used to predict the potential geographic distribution of O. rhinoceros in the world based on occurrence data and related environmental variables and to speculate on the influence of environmental variables on the distribution of O. rhinoceros. The results showed that the suitable areas of O. rhinoceros beetle were mainly distributed in 30° N–30° S, and the highly suitable areas were concentrated in South Asia, East Asia, Southeast Asia, and northern Oceania. The key environmental variables that determine the distribution location of O. rhinoceros are Precipitation of Wettest Month (bio13), Temperature of July (tmin7), Minimum Temperature of November (tmin11), and Precipitation of September (prec9). The prediction results of the MaxEnt model can reflect the global distribution of O. rhinoceros. This study can provide a theoretical basis for the prevention and control of O. rhinoceros and the development of relevant quarantine measures. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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