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An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Quantifying stochastic introgression processes in random environments with hazard rates
Atiyo Ghosh1, Maria Conceição Serra2, Patsy Haccou1
1Institute of Environmental Sciences (CML), Leiden University, P.O. Box 9518, Leiden 2300 RA, The Netherlands.
Abstract:
Introgression is the permanent incorporation of genes from the genome of one population into another. Previous studies have found that stochasticity in number of offspring, hybridisation, and environment are important aspects of introgression risk, but these factors have been studied separately. In this paper we extend the use of the hazard rate which we previously used to study effects of demographic stochasticity with repeated invasion attempts, to incorporate temporal environmental stochasticity. We find that introgression risk varies much in time, and in some periods it can be much enhanced in such environments. Furthermore, effects of plant life history parameters, such as flowering and survival probabilities, on hazard rates depend on characteristics of the environmental variation.
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