Am Nat. 2023 Nov;202(5):616-629. doi: 10.1086/726220. Epub 2023 Oct 19.
AbstractMortality is considered one of the main costs of dispersal. A reliable evaluation of mortality, however, is often hindered by a lack of information about the fate of individuals that disappear under unexplained circumstances (i.e., missing individuals). Here, we addressed this uncertainty by applying a Bayesian mortality analysis that inferred the fate of missing individuals according to information from individuals with known fate. Specifically, we tested the hypothesis that mortality during dispersal is higher than mortality among nondispersers using 32 years of mark-resighting data from a free-ranging population of the endangered African wild dog () in northern Botswana. Contrary to expectations, we found that mortality during dispersal was lower than mortality among nondispersers, indicating that higher mortality is not a universal cost of dispersal. Our findings suggest that group living can incur costs for certain age classes, such as limited access to resources as group density increases, that exceed the mortality costs associated with dispersal. By challenging the accepted expectation of higher mortality during dispersal, we urge for further investigations of this key life history trait and propose a robust statistical approach to reduce bias in mortality estimates.
摘要
死亡率被认为是扩散的主要成本之一。然而,由于缺乏对不明原因消失的个体(即失踪个体)命运的信息,死亡率的可靠评估往往受到阻碍。在这里,我们通过应用贝叶斯死亡率分析来解决这一不确定性,根据具有已知命运的个体的信息来推断失踪个体的命运。具体来说,我们使用来自博茨瓦纳北部濒危的非洲野狗()的一个自由放养种群的 32 年的标记重捕数据,检验了扩散期间死亡率高于非扩散者的假设。与预期相反,我们发现扩散期间的死亡率低于非扩散者,这表明更高的死亡率不是扩散的普遍代价。我们的研究结果表明,群体生活可能会给某些年龄段的个体带来成本,例如随着群体密度的增加,对资源的获取受限,这超过了与扩散相关的死亡率成本。通过挑战扩散期间死亡率更高的公认预期,我们敦促进一步研究这一关键的生活史特征,并提出一种稳健的统计方法来减少死亡率估计中的偏差。