A novel dispersal algorithm in individual-based, spatially-explicit Population Viability Analysis: A new role for genetic measures in model testing?

Mark Lethbridge, Jessica Strauss

    Research output: Contribution to journalArticle

    5 Citations (Scopus)

    Abstract

    We describe a new population viability tool: Spatial PVA. Spatial PVA is an individual-based spatially-explicit PVA application which employs a novel stochastic dispersal algorithm that models how animals move through habitat patches. It also includes a non-random breeding algorithm that simulates pedigrees and inbreeding depression. The model repeatedly steps through annual cycles of chance environmental, dispersal and demographic events for a specified time period. We provide a case study to demonstrate how one can compare simulated kinship coefficients with sampled genetic data to test model assumptions and inputs. We also provide a translocation example for an Australian rangelands species, the Yellow-footed Rock-wallaby (Petrogale xanthopus xanthopus).

    Original languageEnglish
    Pages (from-to)83-97
    Number of pages15
    JournalEnvironmental Modelling and Software
    Volume68
    DOIs
    Publication statusPublished - 1 Jun 2015

    Keywords

    • Agent-Based Modelling
    • Inbreeding
    • Individual-based spatially-explicit Population Viability Analysis
    • Modelling dispersal
    • Modelling pedigrees
    • Petrogale xanthopus xanthopus
    • Risk assessment
    • Simulated kinship coefficients

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