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基于最大熵模型对(林奈,1758年)(鞘翅目:金龟科)全球适宜栖息地的预测与分析

Prediction and Analysis of the Global Suitable Habitat of the (Linnaeus, 1758) (Coleoptera: Scarabaeidae) Based on the MaxEnt Model.

作者信息

Fu Chun, Qian Qianqian, Deng Xinqi, Zhuo Zhihang, Xu Danping

机构信息

Key Laboratory of Sichuan Province for Bamboo Pests Control and Resource Development, Leshan Normal University, Leshan 614000, China.

College of Life Science, China West Normal University, Nanchong 637002, China.

出版信息

Insects. 2024 Oct 7;15(10):774. doi: 10.3390/insects15100774.

Abstract

The Asiatic rhinoceros beetle, (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 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 in the world based on occurrence data and related environmental variables and to speculate on the influence of environmental variables on the distribution of . The results showed that the suitable areas of 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 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 . This study can provide a theoretical basis for the prevention and control of and the development of relevant quarantine measures.

摘要

亚洲犀金龟(Linnaeus,1758年)(鞘翅目:金龟科)是一种具有破坏性的入侵物种,对棕榈树、油棕和其他植物构成严重威胁。确定亚洲犀金龟合适的分布区域对于制定适当的政策和预防措施至关重要。在这项工作中,利用最大熵生态位模型和ArcGIS软件,基于出现数据和相关环境变量预测亚洲犀金龟在世界范围内的潜在地理分布,并推测环境变量对其分布的影响。结果表明,亚洲犀金龟的适宜区域主要分布在北纬30°至南纬30°之间,高度适宜区域集中在南亚、东亚、东南亚和大洋洲北部。决定亚洲犀金龟分布位置的关键环境变量是最湿月降水量(bio13)、7月温度(tmin7)、11月最低温度(tmin11)和9月降水量(prec9)。最大熵模型的预测结果能够反映亚洲犀金龟的全球分布情况。本研究可为亚洲犀金龟的防控及相关检疫措施的制定提供理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ea6/11508917/46d79c65ad30/insects-15-00774-g001.jpg

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