Stahl Leigha M, Snead Anthony A, Olson Julie B
Department of Biological Sciences, The University of Alabama, Tuscaloosa, AL, USA.
Department of Biology, New York University, New York, NY, USA.
Water Res. 2025 Oct 1;285:124018. doi: 10.1016/j.watres.2025.124018. Epub 2025 Jun 13.
Habitat suitability for the freshwater pathogen Naegleria fowleri, commonly known as the brain-eating amoebae, was assessed through ecological niche modeling. Using the machine learning algorithm Maxent and occurrence data from three datasets, present-day habitat suitability maps for the contiguous United States (US) were created, and the averaged models were used to project future habitat suitability for N. fowleri in 2021-2040 and 2041-2060 across three shared socioeconomic pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5). The highest percent contributor for averaged present-day models was land cover followed by a different temperature-related variable for each dataset (mean diurnal range, isothermality, and mean temperature of the coldest quarter). Present-day maps of N. fowleri habitat suitability showed the highest values in the southern portion of the US, where hotspots of highly suitable habitat were observed, especially in states such as Florida and Texas. Large areas of highly unsuitable habitat were also noted within the US, suggesting that the distribution of N. fowleri is not uniform. Habitat suitability predictions also revealed that suitable habitat for N. fowleri varied significantly by watershed and state. Future habitat suitability was nuanced, with some areas experiencing increases and others decreases in habitat suitability. Although N. fowleri generally persist at elevated water temperatures and primary amoebic meningoencephalitis cases are predicted to increase in the future due to climate variability, future habitat suitability values decreased across many areas in the US for all three datasets, especially in areas that are considered current hotspots. Differences between future and present-day predictions showed that increases in habitat suitability for some geographic regions, especially in northern states, suggested a potential northward expansion of N. fowleri. Future research should experimentally test associations between environmental variables and the presence, survival, and proliferation of N. fowleri to further refine ecological niche models for these pathogenic amoebae.
通过生态位建模评估了淡水病原体福氏耐格里阿米巴(俗称食脑变形虫)的栖息地适宜性。利用机器学习算法Maxent和来自三个数据集的出现数据,创建了美国本土目前的栖息地适宜性地图,并使用平均模型预测了2021 - 2040年和2041 - 2060年福氏耐格里阿米巴在三种共享社会经济路径(SSP1 - 2.6、SSP2 - 4.5、SSP5 - 8.5)下的未来栖息地适宜性。目前平均模型中贡献百分比最高的是土地覆盖,其次是每个数据集不同的与温度相关的变量(平均日较差、等温性和最冷月平均温度)。福氏耐格里阿米巴栖息地适宜性的当前地图显示,美国南部的值最高,在那里观察到高度适宜栖息地的热点地区,特别是在佛罗里达州和得克萨斯州等州。在美国境内也发现了大片极不适宜的栖息地,这表明福氏耐格里阿米巴的分布并不均匀。栖息地适宜性预测还表明,福氏耐格里阿米巴的适宜栖息地在流域和州之间差异显著。未来的栖息地适宜性情况较为微妙,一些地区的栖息地适宜性增加,而另一些地区则减少。尽管福氏耐格里阿米巴通常在水温升高时存活,并且由于气候变异性预计未来原发性阿米巴脑膜脑炎病例会增加,但对于所有三个数据集,美国许多地区的未来栖息地适宜性值都下降了,特别是在被认为是当前热点的地区。未来和当前预测之间的差异表明,一些地理区域,特别是北部各州的栖息地适宜性增加,表明福氏耐格里阿米巴可能向北扩张。未来的研究应该通过实验测试环境变量与福氏耐格里阿米巴的存在、存活和增殖之间的关联,以进一步完善这些致病变形虫的生态位模型。