Ge Xuezhen, He Shanyong, Wang Tao, Yan Wei, Zong Shixiang
Key Laboratory of Beijing for the Control of Forest Pests, Beijing Forestry University, Beijing, China.
Mentougou Forestry Station, Beijing, China.
PLoS One. 2015 Oct 23;10(10):e0141111. doi: 10.1371/journal.pone.0141111. eCollection 2015.
As the primary pest of palm trees, Rhynchophorus ferrugineus (Olivier) (Coleoptera: Curculionidae) has caused serious harm to palms since it first invaded China. The present study used CLIMEX 1.1 to predict the potential distribution of R. ferrugineus in China according to both current climate data (1981-2010) and future climate warming estimates based on simulated climate data for the 2020s (2011-2040) provided by the Tyndall Center for Climate Change Research (TYN SC 2.0). Additionally, the Ecoclimatic Index (EI) values calculated for different climatic conditions (current and future, as simulated by the B2 scenario) were compared. Areas with a suitable climate for R. ferrugineus distribution were located primarily in central China according to the current climate data, with the northern boundary of the distribution reaching to 40.1°N and including Tibet, north Sichuan, central Shaanxi, south Shanxi, and east Hebei. There was little difference in the potential distribution predicted by the four emission scenarios according to future climate warming estimates. The primary prediction under future climate warming models was that, compared with the current climate model, the number of highly favorable habitats would increase significantly and expand into northern China, whereas the number of both favorable and marginally favorable habitats would decrease. Contrast analysis of EI values suggested that climate change and the density of site distribution were the main effectors of the changes in EI values. These results will help to improve control measures, prevent the spread of this pest, and revise the targeted quarantine areas.
红棕象甲(Rhynchophorus ferrugineus (Olivier),鞘翅目:象甲科)作为棕榈树的主要害虫,自首次入侵中国以来,已对棕榈树造成了严重危害。本研究使用CLIMEX 1.1,根据当前气候数据(1981 - 2010年)以及廷德尔气候变化研究中心(TYN SC 2.0)提供的基于2020年代(2011 - 2040年)模拟气候数据的未来气候变暖预估,来预测红棕象甲在中国的潜在分布。此外,还比较了在不同气候条件下(当前和未来,由B2情景模拟)计算得出的生态气候指数(EI)值。根据当前气候数据,适合红棕象甲分布的气候区域主要位于中国中部,分布的北界达到北纬40.1°,包括西藏、四川北部、陕西中部、山西南部和河北东部。根据未来气候变暖预估,四种排放情景预测的潜在分布差异不大。未来气候变暖模型的主要预测结果是,与当前气候模型相比,高度适宜栖息地的数量将显著增加并扩展到中国北方,而适宜和边缘适宜栖息地的数量将减少。EI值的对比分析表明,气候变化和地点分布密度是EI值变化的主要影响因素。这些结果将有助于改进防控措施、防止该害虫扩散以及修订目标检疫区域。