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基于MaxEnt模型的五针松疱锈病在中国的潜在分布区预测

Potential distribution prediction of five needle pine blister rust in China based on MaxEnt model

  • 摘要: 探索五针松疱锈病在中国的潜在分布区及未来流行趋势,旨在为五针松疱锈病防控提供科学依据。收集我国94条五针松疱锈病的地理分布数据,结合73个环境因子指标,利用MaxEnt模型,分析ROC曲线与环境因子的贡献率,评估影响五针松疱锈病分布的主导环境因素,并绘制4种未来气候情景下适生区分布图和质心迁移路径。结果显示:在当前气候情景下,五针松疱锈病在我国四川、云南等西南部横断山脉至云贵高原一带、秦巴山区以及小兴安岭至长白山山区等东北部发生较为严重,并向临近区域逐步扩散;主导气候因子中11月份降水量因子贡献率最高,适宜范围11.0~30.0 mm;未来4种气候情景下,五针松疱锈病的高适生区面积增长率将在SSP585(2081—2100年)情境下达到最大,达96.83%,面积增至60.33×104 km2,且适生区增长速率与气候强迫强度呈正相关(SSP585 > SSP370 > SSP245 > SSP126);质心迁移方向多指向未来水热条件优化的区域,如高纬度湿润区或高海拔温凉带。气候变化可能通过重塑五针松疱锈病病原菌的生态位边界,加剧病害向原始林区扩散的风险,其中横断山区、秦巴山区及小兴安岭至长白山山区需加强检疫防控。

     

    Abstract: To explore the potential distribution and future developing trend of five needle pine blister rust disease (FNPBR) in China, and to provide scientific basis for its prevention and control. This study collected 94 geographic distribution records of FNPBR in China, combined with 73 environmental factor indicators, and used the MaxEnt model to predict the current suitable habitats of the disease, the ROC curve analysis and environmental factor contribution rates were evaluated to identify dominant environmental factors influencing its distribution, maps of suitable habitats and centroid migration trajectories under four future climate scenarios were generated. The results showed that under the current climate scenario, FNPBR is severely prevalent in southwestern China (Hengduan Mountains to Yunnan-Guizhou Plateau, including Sichuan and Yunnan), the Qinba Mountains, and northeastern regions (from Xiao Hinggan Mountains to Changbai Mountains), with gradual spread to adjacent regions; The precipitation in November shows the highest contribution rate among climatic factors, with an optimal range of 11.0~30.0 mm. Under the four future climate scenarios, the area of high suitability for FNPBR will increase by 96.83% under the SSP585 (2081—2100) scenario, reaching 60.33×104 km2. Habitat expansion correlates positively with climatic stress (SSP585 > SSP370 > SSP245 >SSP126); Centroid migration trajectories predominantly shift toward regions with optimized hydrothermal conditions (high-latitude and humid zones or high-altitude and cool temperate areas). Climate change may reshape the pathogen’s ecological niche boundaries, increasing its risk of spreading to primeval forests. Enhanced quarantine and control measures are urgently needed in the Hengduan Mountains, Qinba Mountains, and Xiaoxing’anling to Changbai Mountains.

     

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