未来气候背景下茶蚜在中国的适生区预测OA
Potential Habiting Areas of Toxoptera aurantii in China under Forecast Climate
[目的]探究环境因子对茶蚜(Toxoptera aurantii)地理分布的影响,明确主导驱动变量,并预测其在当前及未来不同气候情景下的潜在适生区,为茶蚜精准监测与区域性防控提供科学依据.[方法]基于茶蚜在中国的有效分布记录及相关环境因子,采用 MaxEnt模型模拟其当前与未来(2041-2060年)气候条件下的潜在适生范围.[结果]MaxEnt模型曲线下面积(area under curve,AUC)均值为 0.872,表明模型拟合较好,预测结果可靠性较高.当前气候条件下,茶蚜总适生区面积约为 330.02万 km2,占全国陆地面积的 34.38%,主要集中于华东、华中、华南及西南大部分地区.影响其潜在分布的主导环境变量包括温度因子(年温变化范围、最冷月最低温)和降水因子(最干月份降水量、年平均降水量).[结论]预测显示,2041-2060年,茶蚜适生区面积在两种未来气候情景下均呈扩大趋势,主要向东北和西南方向扩张.茶蚜在我国适生范围广泛且未来扩散风险较高,明确其潜在分布格局对优化监测预警体系、制定精准防控策略及保障茶产业可持续发展具有重要意义.
[Objective]Key environmental factors shaping the geographic distribution and probable habiting areas in China under the forecast climatic conditions of Toxoptera aurantii Böyer de Fonscolombe were identified for better pest control management.[Methods]Using MaxEnt model and based on the past records on the spread of tea aphids and validated environmental variables,patterns of T.aurantii population distribution under current and two predicted climate scenarios for the period between 2041 and 2 060 were constructed.[Results]A satisfactory mean area under curve of 0.872 in predicting pest distribution was obtained on the MaxEnt model using the data from existing records.At present,the total area in China suitable for T.aurantii habitation was approximately 3.30×106 km2.It is primarily located in the east,central,south,and most of the southwest,accounting for 34.38%of the nation's terrestrial territory.The major environmental determinants for the infestation included temperature-related variables,e.g.,range of annual temperature and minimum temperature in the coldest month,and precipitation-related annual and precipitations in the driest month.[Conclusion]To date,T.aurantii already spread wide in the country.The coverage area was highly possible to further disperse in the years to come.By 2041-2 060,the projected total habitable area for the pest insects under two forecast climate scenarios was to expand,especially in northeastward and southwestward directions.Consequently,timely upgrading the early warning system and formulating an effective control strategy would be crucial to safeguard sustainable and healthy development of the nation's tea industry.
林昌进;钟文玉;贺思语;丁雅冰;杨永华;陈李林
福建农林大学植物保护学院/农林生物安全全国重点实验室,福建 福州 350002福建农林大学植物保护学院/农林生物安全全国重点实验室,福建 福州 350002福建农林大学资源与环境学院,福建 福州 350002福建农林大学植物保护学院/农林生物安全全国重点实验室,福建 福州 350002宁德市农业科学研究所,福建 福安 355000福建农林大学植物保护学院/农林生物安全全国重点实验室,福建 福州 350002
农业科技
茶蚜气候变化适生区预测最大熵模型潜在分布区
Toxoptera aurantiaclimate changepredicted infestation areaMaxEnt modelpotential distribution
《福建农业学报》 2026 (3)
365-373,9
福建省科技计划引导性项目(2024N0053)南平市科技特派员专项(N2023T011)福建农林大学大学生创新训练项目(202510389377)
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