A spatially-explicit, individual-based demogenetic simulation framework for evaluating hybridization dynamics

Lucas R. Nathan, Nadya Mamoozadeh, Hayley R. Tumas, Samuel Gunselman, Keren Klass, Anya Metcalfe, Chris Edge, Lisette P. Waits, Paul Spruell, Erin Lowery, Ed Connor, Andrew R. Bearlin, Marie Josée Fortin, Erin Landguth

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Spatially-explicit individual-based simulation models provide a valuable tool for exploring complex ecological and evolutionary processes that are not easily empirically measured. Here, we present modifications of a spatially-explicit individual-based simulation model (CDMetaPOP) to accommodate a two-species system and simulations involving interspecific hybridization. We first describe how a hybrid (H) index is used to distinguish individuals of interspecific descent from those of either parental species. User-defined thresholds provide flexibility in the degree of admixture tolerated for classifying ‘pure’ individuals. We then detail relationships further informed by the H index, including individual growth, temperature-based fitness and selection, and mate preference behavior. Empirically derived species- and system-specific information can be incorporated into these relationships, for example, to produce differential growth among hybrids and parental species. Lastly, we demonstrate an application of this simulation framework by exploring the relative effects of temperature-based selection, mate preference behavior, and hybrid fitness on the rate and spatial extent of sympatric hybridization between two native riverine fish species, bull trout (Salvelinus confluentus) and Dolly Varden (Salvelinus malma), in the upper Skagit River system (United States and Canada). Results from this demonstration provide guidance for future empirical studies of bull trout, a federally threatened species. Understanding factors that contribute to the initiation and maintenance of hybridization, as well as the ecological and evolutionary consequences of this phenomenon, is of increasing importance given shifting species ranges due to large-scale landscape modification and a changing global climate. Our framework can be used to study a wide range of hybridization dynamics in any terrestrial or aquatic system, including comparisons of distinct environmental conditions or potential management responses.

Original languageEnglish
Pages (from-to)40-51
Number of pages12
JournalEcological Modelling
StatePublished - Jun 1 2019


We thank Seattle City Light for providing field data for this study. This research was supported in part by funds provided by Distributed Graduate Course in Landscape Genetics 2016, Seattle City Light and NASA grant NNX14AC91G .

FundersFunder number
Seattle City Light
National Aeronautics and Space AdministrationNNX14AC91G


    • Eco-evolutionary
    • Hybridization
    • IBM simulation
    • Landscape
    • Riverscape


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