Peterson A Townsend, Shaw Jeffrey
Natural History Museum, The University of Kansas, Lawrence, KS 66045, USA.
Int J Parasitol. 2003 Aug;33(9):919-31. doi: 10.1016/s0020-7519(03)00094-8.
Geographic and ecological distributions of three Lutzomyia sand flies that are cutaneous leishmaniasis vectors in South America were analysed using ecological niche modelling. This new tool provides a large-scale perspective on species' geographic distributions, ecological and historical factors determining them, and their potential for change with expected environmental changes. As a first step, the ability of this technique to predict geographic distributions of the three species was tested statistically using two subsampling techniques: a random-selection technique that simulates 50% data density, and a quadrant-based technique that challenges the method to predict into broad unsampled regions. Predictivity under both test schemes was highly statistically significant. Visualisation of ecological niches provided insights into the ecological basis for distributional differences among species. Projections of potential geographic distributions across scenarios of global climate change suggested that only Lutzomyia whitmani is likely to be experiencing dramatic improvements in conditions in south-eastern Brazil, where cutaneous leishmaniasis appears to be re-emerging; Lutzomyia intermedia and Lutzomyia migonei may be seeing more subtle improvements in climatic conditions, but the implications are not straightforward. More generally, this technique offers the possibility of new views into the distributional ecology of disease, vector, and reservoir species.
利用生态位建模分析了南美洲三种作为皮肤利什曼病媒介的白蛉的地理和生态分布。这种新工具提供了关于物种地理分布、决定其分布的生态和历史因素以及随着预期环境变化其变化潜力的大规模视角。作为第一步,使用两种子采样技术对该技术预测这三种物种地理分布的能力进行了统计测试:一种是模拟50%数据密度的随机选择技术,另一种是挑战该方法预测广阔未采样区域的基于象限的技术。在两种测试方案下的预测性在统计学上都具有高度显著性。生态位的可视化提供了对物种间分布差异的生态基础的见解。全球气候变化情景下潜在地理分布的预测表明,只有惠氏白蛉在巴西东南部的条件可能会有显著改善,而那里皮肤利什曼病似乎正在重新出现;中间白蛉和米氏白蛉在气候条件上可能会有更细微的改善,但其影响并不直接。更普遍地说,这种技术为疾病、媒介和宿主物种的分布生态学提供了新观点的可能性。