Sweeney A W, Beebe N W, Cooper R D, Bauer J T, Peterson A T
Institute for the Biotechnology of Infectious Diseases, University of Technology Sydney, P.O. Box 123 Broadway, NSW 2007, Australia.
J Med Entomol. 2006 Sep;43(5):1068-75. doi: 10.1603/0022-2585(2006)43[1068:efawda]2.0.co;2.
Ecological factors associated with the narrow coastal distribution of Anopheles farauti Laveran s.s. were investigated using decision tree software and a recently developed software tool that permits analysis of environmental gradients across distributional boundaries. Significant variables identified by these procedures were then used to develop ecological niche models that permitted detailed--and improved--predictions of the species' overall distribution. These methods identified seven climatic factors (four of temperature factors and three atmospheric moisture factors) from among 40 environmental variables related to the range of this species. In addition, the gradient-analysis tool identified elevation as being particularly important. The distributional hypothesis predicted using ecological niche modeling of these factors included all of the record sites from which An. farauti s.s. was collected in northern Australia and successfully reconstructed its narrow limitation to coastal areas. Omission of elevation from analyses resulted in unrealistic predictions of potential distributional areas > 100 km inland, where the species has not been found.
利用决策树软件和一种最近开发的软件工具，对与费氏按蚊指名亚种狭窄的沿海分布相关的生态因素进行了调查，该软件工具允许分析跨分布边界的环境梯度。然后，将这些程序确定的显著变量用于开发生态位模型，从而对该物种的总体分布进行详细且改进的预测。这些方法从与该物种分布范围相关的40个环境变量中确定了7个气候因素（4个温度因素和3个大气湿度因素）。此外，梯度分析工具确定海拔尤为重要。利用这些因素进行生态位建模预测的分布假设包括在澳大利亚北部采集到费氏按蚊指名亚种的所有记录地点，并成功重建了其对沿海地区的狭窄限制。分析中忽略海拔会导致对内陆超过100公里潜在分布区域的不切实际预测，而该物种在内陆尚未被发现。
