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The effects of demographic stochasticity and parameter uncertainty on predicting the establishment of introduced species

机译:人口随机性和参数不确定性对预测引进物种建立的影响

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摘要

Invasive species are a serious threat to biodiversity worldwide and predicting whether an introduced species will first establish and then become invasive can be useful to preserve ecosystem services. Establishment is influenced by multiple factors, such as the interactions between the introduced individuals and the resident community, and demographic and environmental stochasticity. Field observations are often incomplete or biased. This, together with an imperfect knowledge of the ecological traits of the introduced species, makes the prediction of establishment challenging. Methods that consider the combined effects of these factors on our ability to predict the establishment of an introduced species are currently lacking. We develop an inference framework to assess the combined effects of demographic stochasticity and parameter uncertainty on our ability to predict the probability of establishment following the introduction of a small number of individuals. We find that even moderate levels of demographic stochasticity influence both the probability of establishment, and, crucially, our ability to correctly predict that probability. We also find that estimation of the demographic parameters of an introduced species is fundamental to obtain precise estimates of the interaction parameters. For typical values of demographic stochasticity, the drop in our ability to predict an establishment can be 30% when having priors on the demographic parameters compared to having their accurate values. The results from our study illustrate how demographic stochasticity may bias the prediction of the probability of establishment. Our method can be applied to estimate probability of establishment of introduced species in field scenarios, where time series data and prior information on the demographic traits of the introduced species are available.
机译:外来入侵物种是对全球生物多样性的严重威胁,预测引入的物种是否会首先建立并随后成为入侵物种可能对保护生态系统服务有用。建立受到多种因素的影响,例如被介绍的个人与居民社区之间的互动以及人口和环境的随机性。实地观察通常不完整或有偏见。这,加上对所引入物种生态特征的不完全了解,使得对建立的预测具有挑战性。当前缺乏考虑这些因素对我们预测引进物种建立能力的综合影响的方法。我们建立了一个推断框架,以评估人口随机性和参数不确定性对我们在引入少量个体后预测成立可能性的能力的综合影响。我们发现,即使是中等程度的人口统计随机性也会影响建立的可能性,并且至关重要的是,影响我们正确预测该可能性的能力。我们还发现,对引入物种的人口统计学参数的估计对于获得相互作用参数的精确估计至关重要。对于人口统计随机性的典型值,与人口统计参数的准确值相比,具有人口统计参数的先验值时,我们预测机构的能力下降了30%。我们研究的结果说明了人口统计的随机性可能如何对成立概率的预测产生偏差。我们的方法可以用于估计在外地情景中建立引进物种的可能性,在这种情况下,时间序列数据和有关引进物种人口统计特征的先验信息可用。

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