Perez-Saez Javier, Mande Theophile, Ceperley Natalie, Bertuzzo Enrico, Mari Lorenzo, Gatto Marino, Rinaldo Andrea
Laboratory of Ecohydrology, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland;
Laboratory of Ecohydrology, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland; Hydrology Group, Institute of Earth Surface Dynamics, Faculty of Geosciences and Environment, University of Lausanne, CH-1015 Lausanne, Switzerland;
Proc Natl Acad Sci U S A. 2016 Jun 7;113(23):6427-32. doi: 10.1073/pnas.1602251113. Epub 2016 May 9.
We report about field and theoretical studies on the ecology of the aquatic snails (Bulinus spp. and Biomphalaria pfeifferi) that serve as obligate intermediate hosts in the complex life cycle of the parasites causing human schistosomiasis. Snail abundance fosters disease transmission, and thus the dynamics of snail populations are critically important for schistosomiasis modeling and control. Here, we single out hydrological drivers and density dependence (or lack of it) of ecological growth rates of local snail populations by contrasting novel ecological and environmental data with various models of host demography. Specifically, we study various natural and man-made habitats across Burkina Faso's highly seasonal climatic zones. Demographic models are ranked through formal model comparison and structural risk minimization. The latter allows us to evaluate the suitability of population models while clarifying the relevant covariates that explain empirical observations of snail abundance under the actual climatic forcings experienced by the various field sites. Our results link quantitatively hydrological drivers to distinct population dynamics through specific density feedbacks, and show that statistical methods based on model averaging provide reliable snail abundance projections. The consistency of our ranking results suggests the use of ad hoc models of snail demography depending on habitat type (e.g., natural vs. man-made) and hydrological characteristics (e.g., ephemeral vs. permanent). Implications for risk mapping and space-time allocation of control measures in schistosomiasis-endemic contexts are discussed.
我们报告了关于水生蜗牛(泡螺属和费氏双脐螺)生态学的实地和理论研究,这些蜗牛在导致人类血吸虫病的寄生虫复杂生命周期中作为专性中间宿主。蜗牛数量的增加会促进疾病传播,因此蜗牛种群动态对于血吸虫病建模和控制至关重要。在这里,我们通过将新的生态和环境数据与各种宿主种群统计学模型进行对比,找出当地蜗牛种群生态增长率的水文驱动因素和密度依赖性(或缺乏密度依赖性)。具体而言,我们研究了布基纳法索高度季节性气候区的各种自然和人工栖息地。通过正式的模型比较和结构风险最小化对种群统计学模型进行排序。后者使我们能够评估种群模型的适用性,同时明确在各个实地站点实际经历的气候强迫下解释蜗牛数量实证观测结果的相关协变量。我们的结果通过特定的密度反馈将水文驱动因素与不同的种群动态定量地联系起来,并表明基于模型平均的统计方法能够提供可靠的蜗牛数量预测。我们排序结果的一致性表明,应根据栖息地类型(如自然与人工)和水文特征(如短暂与永久)使用临时的蜗牛种群统计学模型。讨论了对血吸虫病流行地区风险地图绘制和控制措施时空分配的影响。