Chen Youhua
College of Life Sciences, Wuhan University, Wuhan City, China.
Integr Zool. 2008 Sep;3(3):166-75. doi: 10.1111/j.1749-4877.2008.00095.x.
Changes to the Earth's climate may affect the distribution of countless species. Understanding the potential distribution of known invasive species under an altered climate is vital to predicting impacts and developing management policy. The present study employs ecological niche modeling to construct the global potential distribution range of the yellow crazy ant (Anoplolepis gracilipes) using past, current and future climate scenarios. Three modeling algorithms, GARP, BioClim and Environmental Distance, were used in a comparative analysis. Output from the models suggest firstly that this insect originated from south Asia, expanded into Europe and then into Afrotropical regions, after which it formed its current distribution. Second, the invasive risk of A. gracilipes under future climatic change scenarios will become greater because of an extension of suitable environmental conditions in higher latitudes. Third, when compared to the GARP model, BioClim and Environmental Distance models were better at modeling a species' ancestral distribution. These findings are discussed in light of the predictive accuracy of these models.
地球气候的变化可能会影响无数物种的分布。了解已知入侵物种在气候变化情况下的潜在分布范围对于预测影响和制定管理政策至关重要。本研究采用生态位建模方法,利用过去、当前和未来的气候情景构建黄疯蚁(Anoplolepis gracilipes)的全球潜在分布范围。使用了三种建模算法,即GARP、BioClim和环境距离算法进行比较分析。模型输出结果首先表明,这种昆虫起源于南亚,扩展到欧洲,然后进入非洲热带地区,此后形成了其当前的分布。其次,由于高纬度地区适宜环境条件的扩展,未来气候变化情景下黄疯蚁的入侵风险将变得更大。第三,与GARP模型相比,BioClim和环境距离模型在模拟物种祖先分布方面表现更好。根据这些模型的预测准确性对这些发现进行了讨论。