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Pattern of variation in avian population growth rates

机译:鸟类人口增长率的变化模式

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摘要

A central question in population ecology is to understand why population growth rates differ over time. Here, we describe how the long-term growth of populations is not only influenced by parameters affecting the expected dynamics, for example form of density dependence and specific population growth rate, but is also affected by environmental and demographic stochasticity. Using long-term studies of fluctuations of bird populations, we show an interaction between the stochastic and the deterministic components of the population dynamics: high specific growth rates at small densities r(1) are typically positively correlated with the environmental variance sigma(e)(2). Furthermore, theta, a single parameter describing the form of the density regulation in the theta-logistic density-regulation model, is negatively correlated with r(1). These patterns are in turn correlated with interspecific differences in life-history characteristics. Higher specific growth rates, larger stochastic effects on the population dynamics and stronger density regulation at small densities are found in species with large clutch sizes or high adult mortality rates than in long-lived species. Unfortunately, large uncertainties in parameter estimates, as well as strong stochastic effects on the population dynamics, will often make even short-term population projections unreliable. We illustrate that the concept of population prediction interval can be useful in evaluating the consequences of these uncertainties in the population projections for the choice of management actions. [References: 64]
机译:人口生态学的中心问题是要了解人口增长率为何随时间变化。在这里,我们描述了人口的长期增长如何不仅受到影响预期动态的参数的影响,例如密度依赖性和特定人口增长率的形式,而且还受到环境和人口随机性的影响。使用鸟类种群波动的长期研究,我们显示了种群动态的随机性和确定性成分之间的相互作用:在小密度下高比生长率r(1)通常与环境方差sigma(e)正相关(2)。此外,theta是描述逻辑逻辑密度调节模型中密度调节形式的单个参数,与r(1)负相关。这些模式又与生活史特征的种间差异相关。与长寿物种相比,具有大离合器尺寸或成年死亡率高的物种具有更高的比增长率,对种群动态的更大随机影响以及在小密度下更强的密度调节。不幸的是,参数估计的巨大不确定性以及对人口动态的强烈随机影响,常常会使短期人口预测变得不可靠。我们说明,人口预测间隔的概念可用于评估人口预测中这些不确定因素对管理措施选择的影响。 [参考:64]

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