Download USER MANUAL - Computational Ecology Laboratory
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C D P O P u s e r m a n u a l | 21 Mutation Rate Mutation Model muterate ‘0.0005’ mutationtype ‘random’ – the KAM model. second subpopulation and disperses to the fourth subpopulation it has a 60% chance of surviving there. If it stays in its own subpopulation, then it would have no differential mortality consequences. This parameter is very similar to cdevolve offspring viability, but applied to subpopulations instead of individuals spatial locations. The mutation rate. The type of mutation model: ‘random’ – This is the kthallele mutation model. ‘forward’ – This is a step-wise mutation in which an allele can mutate forwards only (i.e., to the right). ‘backward’ – This is a stepwise mutation in which an allele can mutate backwards only (i.e., to the left). ‘forwardbackward’ – This is a step-wise mutation in which an allele can mutate forward or backwards only (i.e., to the left or right with equal probability). Loci loci ‘10’ Initialize Genotypes intgenesans ‘random’ ‘forwardAbackwardBrandomN’ – This is a special case for the 2-loci selection model. The first locus under selection can only go forward (A -> a) and the second locus under selection can only go backward (b -> B). The rest of the neutral loci are random mutations. The number of loci (microsatellites). The choice for how to initialize the genotype for