A large-scale approach can help detect general processes driving the dynamics of brown trout populations in extensive areas (original) (raw)

Understanding the mechanisms underlying the spatiotemporal variation of abundance and demographic variables is crucial in population dynamics research, particularly among salmonids. This study highlights that previous research has often focused on local scales, potentially overlooking broader influencing factors. The authors constructed two models using data from 60 sampling stations over 18 years to reveal significant insights into brown trout populations. Findings include the unified description of population growth rates across independent populations, climatic influences on recruitment, and substantial cohort effects, leading to predictive models with high accuracy for regional population densities.