数字农科院2.0

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

文献类型： 外文期刊

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

作者机构：

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

期刊名称： Pakistan Journal of Agricultural Sciences

ISSN： 0552-9034

年卷期： 2025 年 63 卷 2 期

页码：

收录情况： SCIE（2025版）

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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