基于GARP与CLIMEX模型的甜菜夜蛾在我国的适生区预测

    Potential Distribution Prediction of Spodoptera exigua(Hübner)in China Based on GARP and CLIMEX Models

    • 摘要: 甜菜夜蛾Spodoptera exigua Hübner作为全球性、杂食性、抗药性强的重大农业害虫,寄主涵盖170余种植物,对我国农业生产构成严重威胁。为明确其在我国的潜在分布格局,为监测预警与防控提供参考依据。通过整理我国甜菜夜蛾现有分布数据,结合温度、湿度、降水等关键气候因子,运用CLIMEX和GARP两种生态位模型开展适生区预测分析。结果表明:两种模型均证实我国南方地区适生性显著高于北方,核心高适生区集中于云南南部、广西、广东、川渝交界处及湖北中部等地;CLIMEX模型预测适生区包括华南、东南、华中及西南地区,非适生区主要为内蒙古北部、黑龙江北部等寒冷地区及新疆东部等干旱区域;GARP模型预测适生范围更广,除西藏、青海、海南等部分区域外,其余大部分地区为高适生区;两者差异主要体现在新疆北部、湖南、江西、浙江等区域的适生等级判定。研究表明,甜菜夜蛾在我国入侵风险极高,湖南、广西、广东、福建、江西等区域需重点强化监测防控。该研究通过两种模型的互补验证,提升了预测结果的可靠性,为甜菜夜蛾的区域化精准防控提供支撑。

       

      Abstract: Spodoptera exigua Hübner is a significant global agricultural pest characterized by polyphagy and strong insecticide resistance. With a host range exceeding 170 plant species, it poses a severe threat to agricultural production in China. To clarify its potential distribution pattern and provide a scientific basis for monitoring, early warning, and control, this study integrated existing distribution data of S. exigua in China with key climatic factors, including temperature, humidity, and precipitation. Potential suitable areas were predicted using CLIMEX and GARP ecological niche models. The results showed that both models confirmed significantly higher suitability in southern China compared to the north. Core highly suitable areas were concentrated in southern Yunnan, Guangxi, Guangdong, the Sichuan-Chongqing border, and central Hubei. The CLIMEX model predicted suitable areas across southern, southeastern, central, and southwestern China, while non-suitable areas included cold regions like northern Inner Mongolia and northern Heilongjiang, as well as arid zones like eastern Xinjiang. The GARP model predicted a broader suitable range, with most regions identified as highly suitable except for parts of Tibet, Qinghai, and Hainan. Discrepancies between the two models primarily occurred in the suitability level assessments for northern Xinjiang, Hunan, Jiangxi, and Zhejiang. The study indicates an extremely high invasion risk for S. exigua in China, necessitating intensified monitoring and control in regions such as Hunan, Guangxi, Guangdong, Fujian, and Jiangxi. Through complementary validation of the two models, this study enhances the reliability of prediction results and provides crucial theoretical support for regionalized precision control of S. exigua.

       

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