Département de Biologie, Université de Sherbrooke, 2500 Boulevard de l'Université, Sherbrooke, QC, J1K 2R1, Canada.
Oecologia. 2022 Aug;199(4):809-817. doi: 10.1007/s00442-022-05231-7. Epub 2022 Aug 14.
Anthropogenic climate change and habitat alterations increase the importance of understanding the causes and consequences of variation in phenological traits. Although the timing of phenological events may vary in response to both direct and mediated effects, methods to measure and distinguish direct and mediated effects have seldom been used. We used a Bayesian structural equation model (SEM) to evaluate potential direct and mediated effects of intrinsic individual and environmental factors on the timing and progression of spring molt in bighorn sheep. The SEM showed that molt phenology varied across years, was earlier in prime-aged and in heavier individuals, slower in males, and later in lactating ewes, especially if they were light. These results highlight how individual variation in intrinsic traits and life-history leads to substantial variation in a phenological trait. Indirect effects in the SEM predicted a delay in sheep molt phenology at high population density mediated through negative density effects on body mass and lactation probability. Cooler temperatures in late spring were also predicted to delay molt phenology via a negative effect on body mass. Finally, lactation reduced ewe mass which was predicted to delay molt phenology. This mediated effect thus increased the total delay (sum of direct and mediated effects) in molt phenology experience by lactating ewes. Our results underline the importance of estimating direct and indirect effects when modeling phenological traits. Because indirect effects could substantially affect estimates of total plasticity, they should be critically important to accurately predict phenological mismatches and demographic consequences of environmental change.
人为引起的气候变化和栖息地的改变增加了理解物候特征变化原因和结果的重要性。尽管物候事件的时间可能会因直接和间接效应而发生变化,但测量和区分直接和间接效应的方法很少被使用。我们使用贝叶斯结构方程模型(SEM)来评估内在个体和环境因素对绵羊春季换毛时间和进程的潜在直接和间接影响。SEM 显示,换毛物候在不同年份存在差异,在壮年和体重较大的个体中较早,在雄性中较慢,在哺乳期母羊中较晚,尤其是在体重较轻的母羊中。这些结果突出了内在特征和生活史的个体差异如何导致物候特征的大量变化。SEM 中的间接效应预测,由于对体重和泌乳概率的负密度效应,在高种群密度下,绵羊换毛物候会延迟。此外,晚春较冷的温度也会通过对体重的负效应来延迟换毛物候。最后,哺乳期会降低母羊的体重,这预计会延迟换毛物候。因此,哺乳期母羊的换毛物候经历的总延迟(直接和间接效应之和)增加了。我们的研究结果强调了在模拟物候特征时估计直接和间接效应的重要性。因为间接效应可能会对总可塑性的估计产生重大影响,所以对于准确预测物候不匹配和环境变化的人口后果,它们应该是至关重要的。