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首页> 外文期刊>BMC Ecology >Bayesian salamanders: analysing the demography of an underground population of the European plethodontid Speleomantes strinatii with state-space modelling
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Bayesian salamanders: analysing the demography of an underground population of the European plethodontid Speleomantes strinatii with state-space modelling

机译:贝叶斯sal:使用状态空间模型分析欧洲食齿动物Speleomantes strinatii地下人口的人口统计

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Background It has been suggested that Plethodontid salamanders are excellent candidates for indicating ecosystem health. However, detailed, long-term data sets of their populations are rare, limiting our understanding of the demographic processes underlying their population fluctuations. Here we present a demographic analysis based on a 1996 - 2008 data set on an underground population of Speleomantes strinatii (Aellen) in NW Italy. We utilised a Bayesian state-space approach allowing us to parameterise a stage-structured Lefkovitch model. We used all the available population data from annual temporary removal experiments to provide us with the baseline data on the numbers of juveniles, subadults and adult males and females present at any given time. Results Sampling the posterior chains of the converged state-space model gives us the likelihood distributions of the state-specific demographic rates and the associated uncertainty of these estimates. Analysing the resulting parameterised Lefkovitch matrices shows that the population growth is very close to 1, and that at population equilibrium we expect half of the individuals present to be adults of reproductive age which is what we also observe in the data. Elasticity analysis shows that adult survival is the key determinant for population growth. Conclusion This analysis demonstrates how an understanding of population demography can be gained from structured population data even in a case where following marked individuals over their whole lifespan is not practical.
机译:背景有人建议斑节sal是指示生态系统健康的极佳候选者。但是,很少有详细,长期的人口数据集,这限制了我们对人口波动背后的人口统计过程的理解。在这里,我们根据1996年至2008年对意大利西北地区Speleomantes strinatii(Aellen)地下人口的数据进行了人口统计学分析。我们利用贝叶斯状态空间方法来参数化阶段结构的Lefkovitch模型。我们使用了年度临时清除实验中的所有可用人口数据,为我们提供了在任何给定时间存在的少年,亚成人以及成年男性和女性的数量的基线数据。结果对收敛的状态空间模型的后链进行采样,可以得出各州特定人口率的可能性分布以及这些估计的相关不确定性。分析所得参数化的莱夫科维奇矩阵后,我们发现种群增长非常接近1,并且在种群平衡时,我们预计现存的个体中有一半是育龄成年人,这也是我们在数据中观察到的。弹性分析表明,成年生存是人口增长的关键决定因素。结论该分析表明,即使在跟踪整个生命周期中的标记个体不切实际的情况下,也可以从结构化人口数据中获得对人口人口统计学的理解。

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