Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
Interdisciplinary Center on Population Dynamics, University of Southern Denmark, Odense, Denmark.
J Anim Ecol. 2021 Jul;90(7):1701-1713. doi: 10.1111/1365-2656.13486. Epub 2021 Apr 21.
Theoretical and empirical research has shown that increased variability in demographic rates often results in a decline in the population growth rate. In order to reduce the adverse effects of increased variability, life-history theory predicts that demographic rates that contribute disproportionately to population growth should be buffered against environmental variation. To date, evidence of demographic buffering is still equivocal and limited to analyses on a reduced number of age classes (e.g. juveniles and adults), and on single sex models. Here we used Bayesian inference models for age-specific survival and fecundity on a long-term dataset of wild mountain gorillas. We used these estimates to parameterize two-sex, age-specific stochastic population projection models that accounted for the yearly covariation between demographic rates. We estimated the sensitivity of the long-run stochastic population growth rate to reductions in survival and fecundity on ages belonging to nine sex-age classes for survival and three age classes for female fecundity. We found a statistically significant negative linear relationship between the sensitivities and variances of demographic rates, with strong demographic buffering on young adult female survival and low buffering on older female and silverback survival and female fecundity. We found moderate buffering on all immature stages and on prime-age females. Previous research on long-lived slow species has found high buffering of prime-age female survival and low buffering on immature survival and fecundity. Our results suggest that the moderate buffering of the immature stages can be partially due to the mountain gorilla social system and the relative stability of their environment. Our results provide clear support for the demographic buffering hypothesis and its predicted effects on species at the slow end of the slow-fast life-history continuum, but with the surprising outcome of moderate social buffering on the survival of immature stages. We also demonstrate how increasing the number of sex-age classes can greatly improve the detection of demographic buffering in wild populations.
理论和实证研究表明,人口增长率的变化通常会导致人口增长率的下降。为了减少变异性增加的不利影响,生活史理论预测,对人口增长贡献不成比例的人口率应该缓冲环境变化。迄今为止,人口缓冲的证据仍然存在争议,并且仅限于对少数年龄组(例如青少年和成年人)和单一性别模型的分析。在这里,我们使用贝叶斯推断模型对野生山地大猩猩的长期数据集进行了特定年龄的生存和繁殖力分析。我们使用这些估计值来参数化两个性别,特定年龄的随机人口预测模型,这些模型考虑了人口率之间的年度协变。我们估计了生存和繁殖力的敏感性,以减少属于九个性别年龄组的生存和三个年龄组的雌性繁殖力的九个年龄组的长期随机人口增长率。我们发现,在生存和繁殖力方面,敏感性和变异性之间存在统计学上显著的负线性关系,年轻成年雌性的生存缓冲能力很强,而老年雌性和银背的生存和雌性繁殖力缓冲能力较低。我们发现所有未成年阶段和黄金年龄雌性的缓冲能力适中。对长寿缓慢物种的先前研究发现,黄金年龄雌性的生存缓冲能力较高,而未成年的生存和繁殖力缓冲能力较低。我们的研究结果表明,未成年阶段的适度缓冲部分归因于山地大猩猩的社会制度及其环境的相对稳定性。我们的研究结果为人口缓冲假说及其对缓慢-快速生活史连续体中缓慢物种的预测效应提供了明确的支持,但令人惊讶的是,未成年阶段的生存能力有适度的社会缓冲。我们还展示了如何通过增加性别年龄组的数量来大大提高对野生种群人口缓冲的检测能力。