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首页> 外文期刊>Ecology: A Publication of the Ecological Society of America >Female elk contacts are neither frequency nor density dependent
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Female elk contacts are neither frequency nor density dependent

机译:母麋接触不依赖于频率也不依赖于密度

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摘要

Identifying drivers of contact rates among individuals is critical to understanding disease dynamics and implementing targeted control measures. We studied the interaction patterns of 149 female elk (Cervus canadensis) distributed across five different regions of western Wyoming over three years, defining a contact as an approach within one body length (;2 m). Using hierarchical models that account for correlations within individuals, pairs, and groups, we found that pairwise contact rates within a group declined by a factor of three as group sizes increased 33-fold. Per capita contact rates, however, increased with group size according to a power function, such that female elk contact rates fell in between the predictions of density- or frequency-dependent disease models. We found similar patterns for the duration of contacts. Our results suggest that larger elk groups are likely to play a disproportionate role in the disease dynamics of directly transmitted infections in elk. Supplemental feeding of elk had a limited impact on pairwise interaction rates and durations, but per capita rates were more than two times higher on feeding grounds. Our statistical approach decomposes the variation in contact rate into individual, dyadic, and environmental effects, and provides insight into factors that may be targeted by disease control programs. In particular, female elk contact patterns were driven more by environmental factors such as group size than by either individual or dyad effects.
机译:确定个体之间接触率的驱动因素对于理解疾病动态和实施有针对性的控制措施至关重要。我们研究了三年内分布于怀俄明州西部五个不同地区的149只雌性麋鹿(加拿大鹿)的相互作用模式,并将接触定义为一种体长(; 2 m)之内的接触方式。使用解释个体,对和组内相关性的层次模型,我们发现随着组的大小增加33倍,组内的成对接触率下降了三倍。然而,人均接触率随群体函数的幂函数而增加,使得雌性麋鹿接触率介于密度或频率依赖性疾病模型的预测之间。我们在联系期间发现了类似的模式。我们的研究结果表明,较大的麋鹿群可能在麋鹿直接传播感染的疾病动态中起不成比例的作用。补充饲喂麋鹿对成对的互动率和持续时间影响有限,但在饲喂场上,人均占有率却高出两倍以上。我们的统计方法将接触率的变化分解为个体效应,二元效应和环境效应,并深入了解疾病控制计划可能针对的因素。尤其是,雌性麋鹿的接触方式更多地是受环境因素(例如群体规模)的驱动,而不是受个体或偶合效应的驱动。

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