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Can temporal covariation and autocorrelation in demographic rates affect population dynamics in a raptor species?

机译:人口统计学的时间协变和自相关会影响猛禽物种的种群动态吗?

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摘要

Theoretical studies suggest that temporal covariation among and temporal autocorrelation within demographic rates are important features of population dynamics. Yet, empirical studies have rarely focused on temporal covariation and autocorrelation limiting our understanding of these patterns in natural populations. This lack of knowledge restrains our ability to fully understand population dynamics and to make reliable population forecasts. In order to fill this gap, we used a long‐term monitoring (15 years) of a kestrel population to investigate covariation and autocorrelation in survival and reproduction at the population level and their impact on population dynamics. Using Bayesian joint analyses, we found support for positive covariation between survival and reproduction, but weak autocorrelation through time. This positive covariation was stronger in juveniles compared with adults. As expected for a specialized predator, we found that the reproductive performance was strongly related to an index of vole abundance explaining 86% of the temporal variation. This very strong relationship suggests that the temporally variable prey abundance may drive the positive covariation between survival and reproduction in this kestrel population. Simulations suggested that the observed effect size of covariation could be strong enough to affect population dynamics. More generally, positive covariation and autocorrelation have a destabilizing effect increasing substantially the temporal variability of population size.
机译:理论研究表明,人口统计率之间的时间协变和时间自相关是人口动态的重要特征。然而,实证研究很少关注时间协变和自相关,这限制了我们对自然种群中这些模式的理解。缺乏知识限制了我们充分了解人口动态并做出可靠的人口预测的能力。为了填补这一空白,我们对红est种群进行了长期监测(15年),以研究种群水平上生存和繁殖的协变和自相关及其对种群动态的影响。使用贝叶斯联合分析,我们发现生存与繁殖之间存在正协变,但随着时间的推移自相关性较弱。与成年人相比,这种正协变在青少年中更强。正如专业捕食者所期望的那样,我们发现生殖性能与田鼠丰度指数密切相关,解释了86%的时间变化。这种非常紧密的关系表明,随时间变化的猎物丰度可能会推动该茶est种群的生存与繁殖之间发生正协变。模拟表明,观察到的协变效应大小可能足以影响种群动态。更一般而言,正协变和自相关具有破坏稳定的作用,从而大大增加了人口规模随时间的变化。

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