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Sex-biased differences in the effects of host individual, host population and environmental traits driving tick parasitism in red deer

机译:导致马鹿tick寄生的寄主个体,寄主种群和环境特征的性别偏见差异

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摘要

The interactions between host individual, host population, and environmental factors modulate parasite abundance in a given host population. Since adult exophilic ticks are highly aggregated in red deer (Cervus elaphus) and this ungulate exhibits significant sexual size dimorphism, life history traits and segregation, we hypothesized that tick parasitism on males and hinds would be differentially influenced by each of these factors. To test the hypothesis, ticks from 306 red deer-182 males and 124 females-were collected during 7 years in a red deer population in south-central Spain. By using generalized linear models, with a negative binomial error distribution and a logarithmic link function, we modeled tick abundance on deer with 20 potential predictors. Three models were developed: one for red deer males, another for hinds, and one combining data for males and females and including >sex> as factor. Our rationale was that if tick burdens on males and hinds relate to the explanatory factors in a differential way, it is not possible to precisely and accurately predict the tick burden on one sex using the model fitted on the other sex, or with the model that combines data from both sexes. Our results showed that deer males were the primary target for ticks, the weight of each factor differed between sexes, and each sex specific model was not able to accurately predict burdens on the animals of the other sex. That is, results support for sex-biased differences. The higher weight of host individual and population factors in the model for males show that intrinsic deer factors more strongly explain tick burden than environmental host-seeking tick abundance. In contrast, environmental variables predominated in the models explaining tick burdens in hinds.
机译:寄主个体,寄主种群和环境因素之间的相互作用调节给定寄主种群中的寄生虫丰度。由于成年外来tick在马鹿中高度聚集,而这种有蹄类动物表现出明显的性别大小二态性,生活史特征和隔离,因此我们假设男性和后代的tick寄生会受到这些因素的不同影响。为了检验这一假设,在7年中,从西班牙中南部的一头马鹿种群中收集了306只马鹿182雄性和124雌鸟的tick。通过使用具有负二项式误差分布和对数链接函数的广义线性模型,我们对具有20个潜在预测变量的鹿的tick丰度进行了建模。开发了三种模型:一种用于雄性马鹿,另一种用于后代,并且一种模型结合了雄性和雌性数据,并且包括>性别>作为因子。我们的理由是,如果男性和后代的tick虱负担以差异的方式与解释因素相关,则无法使用适合另一种性别的模型或采用另一种性别的模型来准确准确地预测一种性别的the虱负担。合并来自两性的数据。我们的结果表明,雄性鹿是s的主要目标,性别之间每个因素的权重都不同,并且每个特定性别的模型都不能准确地预测另一只动物的负担。也就是说,结果支持性别偏见的差异。男性模型中寄主个体和种群因素的权重较高,表明与环境寄主寻求host的丰度相比,内在鹿因素更能解释tick的负担。相反,环境变量在模型中占主导地位,解释了后代的s虱负担。

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