Predicting the potential distribution range of Batocera horsfieldi under CMIP6 climate change using the MaxEnt model

Abstract

Abstract 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.