Liljesthröm Gerardo G, Lareschi Marcela
Centro de Estudios Parasitológicos y de Vectores (CONICET-UNLP), Bv. 120 s/n e/ 60 y 64, 1900, La Plata, Argentina.
Parasitol Res. 2018 Aug;117(8):2507-2520. doi: 10.1007/s00436-018-5940-5. Epub 2018 Jun 13.
The richness of ectoparasite species associated with Sigmodontinae rodents (Cricetidae) from different sites located in the coastal wetlands of the Río de la Plata in Argentina was predicted by a model with three components: (1) habitat type, considered analogous to rodent species; (2) average ectoparasite species richness on each rodent species, and (3) average number of rodent species parasitized by each ectoparasite species. The model, based on rodent information (number of species and total number of captured rodents) and the environmental gradient, has a reasonably good fit for the observed data as well as independent data from different localities. The model is predictive and robust, and it could be a useful tool for epidemiological and biodiversity management strategies. Furthermore, the model could be adapted to other habitats if a suitable estimate of an environmental gradient is found, and it could be also possible to adapt it to other host taxa.
通过一个包含三个组成部分的模型预测了与阿根廷拉普拉塔河沿海湿地不同地点的稻鼠亚科啮齿动物（仓鼠科）相关的体外寄生虫物种丰富度：（1）栖息地类型，被认为类似于啮齿动物物种；（2）每种啮齿动物物种上的平均体外寄生虫物种丰富度，以及（3）每种体外寄生虫物种寄生的啮齿动物物种的平均数量。该模型基于啮齿动物信息（物种数量和捕获的啮齿动物总数）和环境梯度，对观测数据以及来自不同地点的独立数据具有较好的拟合度。该模型具有预测性和稳健性，可能是流行病学和生物多样性管理策略的有用工具。此外，如果找到合适的环境梯度估计值，该模型可以适用于其他栖息地，也有可能将其适用于其他宿主类群。
