Implications of dispersal in Atlantic salmon: lessons from a demo-genetic agent-based model

• Published in: Canadian Journal of Fisheries and Aquatic Sciences
• Main Authors: Lamarins, Amaïa, Hugon, Florèn, Piou, Cyril, Papaïx, Julien, Prévost, Etienne, Carlson, Stephanie M., Buoro, Mathieu
• Format: Article in Journal/Newspaper
• Language: English
• Published: Canadian Science Publishing 2022
• Subjects: Atlantic salmon; Salmo salar
• Online Access: http://dx.doi.org/10.1139/cjfas-2021-0342; https://cdnsciencepub.com/doi/full-xml/10.1139/cjfas-2021-0342; https://cdnsciencepub.com/doi/pdf/10.1139/cjfas-2021-0342

Despite growing evidence of spatial dispersal and gene flow between salmonid populations, the implications of connectivity for adaptation, conservation, and management are still poorly appreciated. Here, we explore the influence of a gradient of dispersal rates on portfolio strength and eco-evolutionary dynamics in a simulated population network of Atlantic salmon ( Salmo salar) by extending a demo-genetic agent-based model to a spatially explicit framework. Our model results highlight a nonlinear relationship between dispersal rates and the stability of the metapopulation, resulting in an optimal portfolio effect for dispersal rates around 20%. At local population scale, we also demonstrate phenotypic changes induced by density-dependent effects modulated by dispersal, and a dispersal-induced increase in genetic diversity. We conclude that it is critical to account for complex interactions between dispersal and eco-evolutionary processes and discuss future avenues of research that could be addressed by such modeling approaches to more fully appreciate responses of Atlantic salmon to environmental changes and investigate management actions accordingly.