Assessing the Potential Global Distribution of Monolepta spp. (Coleoptera: Chrysomelidae) using the MaxEnt Model

文献类型： 外文期刊

第一作者： Ramzan, Muhammad

作者： Ramzan, Muhammad;Sial, Muhammad Umair;Khan, Rashad Rasool;Hanif, Mahreen;Hanif, Mahreen;Waqas, Muhammad;Bourhia, Mohammed;Almaary, Khalid S.

作者机构：

关键词： Species distribution modelling; MaxEnt; Monolepta quadriguttata; Monolepta hieroglyphica; Monolepta signata; Climate change

期刊名称：PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES （ 影响因子：0.6； 五年影响因子：0.7 ）

ISSN： 0552-9034

年卷期： 2025 年 62 卷 2 期

页码：

收录情况： SCI

摘要： Monolepta species (Monolepta quadriguttata, M. hieroglyphica, M. signata) pose a significant threat to crop production in many regions. However, there is limited information on studies assessing the habitat suitability of these pests. This study evaluates the potential global distribution of these pests using the Maximum Entropy (MaxEnt) model and ArcMap GIS software. Our predictive maps show that East Asian countries, particularly North and South Korea, have high suitability, while Russia and South-Southeast Asian regions have low suitability for M. quadriguttata. The model predicts habitat suitability in parts of the United Kingdom, while Western Asia, Europe, and Africa are considered unsuitable for M. quadriguttata. East Asian regions have very high suitability (0.8-1.0) for M. hieroglyphica, and some Southeast Asian countries, including Indonesia, Myanmar, Cambodia, and the Philippines, have optimal suitability. Similarly, optimal habitat suitability for M. signata occurs in Southeast Asian countries, with marginal suitability in parts of Africa and Brazil. The niche analysis show that the Monolepta spp. share similar environment requirements. Our study provides a theoretical basis for developing proactive surveillance and management strategies to reduce the potential spread of Monolepta spp. and emphasizes the need for international cooperation in addressing the challenges that climate change poses to the spread of agricultural pests.

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