Wei Xinju, Xu Danping, Liu Quanwei, Wu Yuhan, Zhuo Zhihang
College of Life Science, China West Normal University, Nanchong 637002, China.
J Econ Entomol. 2024 Feb 12;117(1):187-198. doi: 10.1093/jee/toad209.
Batocera horsfieldi (Hope) (Coleoptera, Cerambycidae, Batocera) is an important wood-boring pest in China, mainly affecting natural forests, economic forests, urban gardens, and green landscapes. In this study, based on the MaxEnt model and ArcGIS, we combined 216 distribution records of B. horsfieldi with 11 selected key environmental variables to predict its potential suitable distribution under current climate data (1970-2000) and 3 climate emission scenarios from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6). The results showed that monthly mean diurnal temperature ranges (bio2), isothermality (bio3), temperature seasonality (bio4), minimum temperature of the coldest month (bio6), mean temperature of the wettest quarter (bio8), mean temperature of the driest quarter (bio9), annual precipitation (bio12), precipitation of the wettest month (bio13), precipitation of the driest month (bio14), precipitation seasonality (coefficient of variation) (bio15), and altitude were the key environmental variables influencing the potential distribution of B. horsfieldi. In the future scenarios of SSP1-2.6, SSP2-4.5, and SSP5-8.5, the areas of high, moderate, and low suitable distribution areas have varied to different extents. However, under the SSP2-4.5 scenario (2050s), there is an observable increase in the areas of high, moderate, and low suitability. The total area of the suitable area reaches 160.88 × 104 km2 and is also shifting toward higher latitudes and altitudes. This study provides scientific reference for future pest control by predicting B. horsfieldi's potential distribution. A "graded response" detection and early warning system and prevention and control strategies can be formulated based on the potential suitable areas to address this pest challenge effectively.
锈色粒肩天牛(Hope)(鞘翅目,天牛科,粒肩天牛属)是中国一种重要的蛀干害虫,主要危害天然林、经济林、城市园林和绿色景观。在本研究中,基于最大熵模型(MaxEnt)和ArcGIS,我们将216条锈色粒肩天牛的分布记录与11个选定的关键环境变量相结合,以预测其在当前气候数据(1970 - 2000年)和耦合模式比较计划第六阶段(CMIP6)的3种气候排放情景下的潜在适宜分布。结果表明,月平均昼夜温差(bio2)、等温性(bio3)、温度季节性(bio4)、最冷月最低温度(bio6)、最湿季度平均温度(bio8)、最干季度平均温度(bio9)、年降水量(bio12)、最湿月降水量(bio13)、最干月降水量(bio14)、降水季节性(变异系数)(bio15)和海拔是影响锈色粒肩天牛潜在分布的关键环境变量。在未来的SSP1 - 2.6、SSP2 - 4.5和SSP5 - 8.5情景下,高适生区、中适生区和低适生区的面积有不同程度的变化。然而,在SSP2 - 4.5情景(2050年代)下,高适生区、中适生区和低适生区的面积有明显增加。适宜区总面积达到160.88×104 km²,并且也在向更高纬度和海拔转移。本研究通过预测锈色粒肩天牛的潜在分布为未来害虫防治提供了科学参考。可以根据潜在适宜区制定“分级响应”检测预警系统和防治策略,以有效应对这种害虫挑战。