Data from: Integrating genetic analysis of mixed populations with a spatially-explicit population dynamics model ...

• Main Authors: Whitlock, Rebecca, Mäntyniemi, Samu, Palm, Stefan, Koljenen, Marja-Liisa, Dannewitz, Johan, Östergren, Johan, Koljonen, Marja-Liisa
• Format: Dataset
• Language: English
• Published: Dryad 2018
• Subjects: Baltic salmon; 2014; Salmo salar; Bayesian; spatial model; mixed fisheries
• Online Access: https://dx.doi.org/10.5061/dryad.4pg37; https://datadryad.org/stash/dataset/doi:10.5061/dryad.4pg37

Inferring the dynamics of populations in time and space is a central challenge in ecology. Intra-specific structure (for example genetically distinct sub-populations or meta-populations) may require methods that can jointly infer the dynamics of multiple populations. This is of particular importance for harvested species, for which management must balance utilization of productive populations with protection of weak ones. Here we present a novel method for simultaneous learning about the spatio-temporal dynamics of multiple populations that combines genetic data with prior information about abundance and movement in an integrated population modelling approach. We apply the Bayesian genetic mixed stock analysis to 17 wild and 10 hatchery-reared Baltic salmon (S. salar) stocks, quantifying uncertainty in stock composition in time and space, and in population dynamics parameters such as migration timing and speed. Our results indicate that the commonly used “equal prior probabilities” assumption may not be ... : Baltic_salmon_baseline_dataBaseline genotypes (17 microsatellite loci) for Baltic salmon from 27 stocks (3593 individuals of known stock of origin).Baltic_salmon_mixture_dataBaltic salmon mixture data: Genotypes (17 microsatellite loci) for 2058 Baltic salmon individuals sampled from Swedish and Finnish coastal trap net fisheries in 2014. ...