Based on the arithmetic mean temperature filed estimated by the temperature fields from June to August in recent 50 years,the suitable probability field of climate of B. xylophilus was assessed and the suitable distribution was mapped at 1 km*1 km. By the future warming modes predicted by Chinese scientists,the climatic suitability of B. xylophilus was estimated when the temperatures were increased by 1.1℃,1.5℃,2.1℃,2.3℃,2.8℃ and 3.3℃,and finally the forecasted distribution was mapped with different warming modes. At present,the zones with high probabilities of climate suitability of B. xylophilus related to Shandong, Jiangsu, Shanghai,Zhejiang,Anhui,Henan,Hubei,Hunan,Fujian, Chongqing,Guizhou,Eastern Sichuan,Eastern Guizhou,Southern Yunnan,Northern Guangxi and Guangdong. After overlaying the data of epidemic areas,vector insects and human disturbance,the suitability of B. xylophilus was belt-like distributed,which was gradually transited from the highest suitability to unsuitability as the area spanned from the eastern coast to the West China. The highest suitability focused on the ten provinces of Liaoning,Shandong,Jiangsu,Shanghai, Zhejiang,Fujian,Hunan,Guangdong,Chongqing and Guizhou. As the warming was increased,the potential suitable regions of B. xylophilus would shift to the north and the southwest of our country,and the area of high suitable zones was decreased gradually. However,these zones would greatly expand in the provinces of Shanxi,Yunnan,Liaoning,Gansu,and Shananxi. The moderate suitable area fluctuated upward and downward. The suitable area showed an upward trend,and was decreased with the enlargement and increased with the reducing of moderate suitable area. The unsuitable area had the highest scales in all temperature increase modes and changed smallest. The way of suitability assessment and prediction of B. xylophilus could be specific to the pixel scale in 1 km*1 km spatial unit and make the same provinces or cities had different suitable classes,which changed the former assessing way in administrative units,and would scientifically support the spatial forecast and control of B. xylophilus disease.