Ecology Department, Montana State University, Bozeman, Montana, USA.
Northern Rocky Mountain Science Center, U.S. Geological Survey, Bozeman, Montana, USA.
J Anim Ecol. 2023 Sep;92(9):1828-1839. doi: 10.1111/1365-2656.13975. Epub 2023 Jul 3.
Identifying and accounting for unobserved individual heterogeneity in vital rates in demographic models is important for estimating population-level vital rates and identifying diverse life-history strategies, but much less is known about how this individual heterogeneity influences population dynamics. We aimed to understand how the distribution of individual heterogeneity in reproductive and survival rates influenced population dynamics using vital rates from a Weddell seal population by altering the distribution of individual heterogeneity in reproduction, which also altered the distribution of individual survival rates through the incorporation of our estimate of the correlation between the two rates and assessing resulting changes in population growth. We constructed an integral projection model (IPM) structured by age and reproductive state using estimates of vital rates for a long-lived mammal that has recently been shown to exhibit large individual heterogeneity in reproduction. Using output from the IPM, we evaluated how population dynamics changed with different underlying distributions of unobserved individual heterogeneity in reproduction. Results indicate that the changes to the underlying distribution of individual heterogeneity in reproduction cause very small changes in the population growth rate and other population metrics. The largest difference in the estimated population growth rate resulting from changes to the underlying distribution of individual heterogeneity was less than 1%. Our work highlights the differing importance of individual heterogeneity at the population level compared to the individual level. Although individual heterogeneity in reproduction may result in large differences in the lifetime fitness of individuals, changing the proportion of above- or below-average breeders in the population results in much smaller differences in annual population growth rate. For a long-lived mammal with stable and high adult-survival that gives birth to a single offspring, individual heterogeneity in reproduction has a limited effect on population dynamics. We posit that the limited effect of individual heterogeneity on population dynamics may be due to canalization of life-history traits.
识别和说明生命表中未被观察到的个体异质性对于估计人口水平的生命表至关重要,也有助于识别不同的生活史策略,但对于个体异质性如何影响种群动态,我们的了解要少得多。我们旨在通过改变繁殖个体异质性的分布来了解繁殖和存活率个体异质性的分布如何影响种群动态,这也通过纳入我们对这两个速率之间相关性的估计来改变个体存活率的分布,并评估种群增长的结果变化。我们构建了一个积分投影模型(IPM),该模型按年龄和繁殖状态进行结构划分,使用对最近表现出繁殖个体异质性很大的长寿哺乳动物的生命表估计值进行构建。使用 IPM 的输出,我们评估了不同的繁殖个体异质性未被观察到的潜在分布如何改变种群动态。结果表明,繁殖个体异质性的潜在分布的变化导致种群增长率和其他种群指标的变化很小。由于繁殖个体异质性的潜在分布发生变化而导致的估计种群增长率的最大差异小于 1%。我们的工作强调了个体异质性在种群水平与个体水平上的重要性不同。尽管繁殖个体异质性可能导致个体终生适应度的巨大差异,但改变种群中高于或低于平均繁殖者的比例,导致年度种群增长率的差异要小得多。对于具有稳定和高成年存活率且仅产一仔的长寿哺乳动物,繁殖个体异质性对种群动态的影响有限。我们假设,个体异质性对种群动态的有限影响可能是由于生活史特征的 canalization 所致。