首页> 外文期刊>Parasitology Research >Predicting species richness of ectoparasites of wild rodents from the Rio de la Plata coastal wetlands, Argentina
【24h】

Predicting species richness of ectoparasites of wild rodents from the Rio de la Plata coastal wetlands, Argentina

机译:从Rio de la Plata沿海湿地,阿根廷预测野生啮齿动物异位遗传癖的物种丰富性

获取原文
获取原文并翻译 | 示例
           

摘要

The richness of ectoparasite species associated with Sigmodontinae rodents (Cricetidae) from different sites located in the coastal wetlands of the Rio 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.
机译:通过三种组分的模型预测了与位于阿根廷里约热内卢地区沿海湿地的不同部位相关的异丙酸盐物种(Cricetidae)的丰富性:(1)栖息地,被认为是啮齿动物物种的栖息地; (2)每个啮齿动物物种的平均异丙酸盐物种丰富性,(3)每种异位酸盐物种寄生的平均啮齿动物物种数量。 该模型基于啮齿动物信息(捕获啮齿动物的物种数量和总数)和环境梯度,对观察到的数据以及来自不同地方的独立数据具有合理的合适。 该模型是预测性和稳健的,它可能是流行病学和生物多样性管理策略的有用工具。 此外,如果发现环境梯度的合适估计,该模型可以适应其他栖息地,并且还可以将其适应其他主宿主。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号