We assume a discrete time process t = [0, 1, … ] where the fraction of available males to females may change throughout a male’s lifetime. It will change if there are MG males in the population, otherwise it will remain the same as initially determined in each time period. Thus without a significant number of Mate Guarding males (q ≈ 0) then Mt = M0 and Ft = F0, and the fitness of the strategies specified above simplifies greatly. If there are MG males in the population then Mt and Ft will change through time as females encountering MG males leave the mating pool. Once MG males are fully gone, then the sex ratio of available females to males is constant. Importantly, the effects MG males have on the operational sex ratio (i.e., those available to mate; OSR) varies both with the ASR and their frequency. In a male-biased ASR, when mate guarding males are common, they reduce the numbers of available females to near 0. However, the effect MG males have on the OSR is much different at female-biased ASRs. These males, by removing themselves from the population, increase the relative numbers of females available to, for example, MM males (see SI).
If there are Ft females and qtMt MG males in the population and Mt > Ft, then the probability of a female becoming newly guarded by a male is qt, making the average number of females being newly guarded by a male is qtFt. With Mt and Ft being the number of males and females in the mating pool at time t, and qt the frequency of non-paired MG males, then
In Figs 2 and and33 we investigate contrasting initial sex ratios that are female-biased (M0 = 100, F0 = 150) and male-biased (M0 = 150, F0 = 100). In Fig. 4 we vary the ASR along a continuous scale.
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