Zhao Cai-Yun, Li Jun-Sheng, Xu Jing, Liu Xiao-Yan
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, P.R. China.
J Insect Sci. 2017 May 1;17(3). doi: 10.1093/jisesa/iex042.
Globalization increases the opportunities for unintentionally introduced invasive alien species, especially for insects, and most of these species could damage ecosystems and cause economic loss in China. In this study, we analyzed drivers of the distribution of unintentionally introduced invasive alien insects. Based on the number of unintentionally introduced invasive alien insects and their presence/absence records in each province in mainland China, regression trees were built to elucidate the roles of environmental and anthropogenic factors on the number distribution and similarity of species composition of these insects. Classification and regression trees indicated climatic suitability (the mean temperature in January) and human economic activity (sum of total freight) are primary drivers for the number distribution pattern of unintentionally introduced invasive alien insects at provincial scale, while only environmental factors (the mean January temperature, the annual precipitation and the areas of provinces) significantly affect the similarity of them based on the multivariate regression trees.
全球化增加了无意间引入外来入侵物种的机会，尤其是昆虫，而这些物种中的大多数会破坏中国的生态系统并造成经济损失。在本研究中，我们分析了无意间引入的外来入侵昆虫分布的驱动因素。基于中国大陆各省无意间引入的外来入侵昆虫数量及其存在/不存在记录，构建回归树以阐明环境和人为因素对这些昆虫数量分布和物种组成相似性的作用。分类和回归树表明，气候适宜性（1月平均温度）和人类经济活动（货运总量之和）是省级尺度上无意间引入的外来入侵昆虫数量分布模式的主要驱动因素，而基于多元回归树，只有环境因素（1月平均温度、年降水量和省份面积）对它们的相似性有显著影响。
