We are building a stochastic periodic matrix population model to explore the effects of migratory connectivity (patterns and strength of breeding populations mixing on wintering grounds) on population and species viability. We want to examine effects of the strength of migratory connectivity across a range of demographic parameter values. We want that range of values to include all migratory animals (from butterflies to birds to whales), but to not include impossible or very unlikely combinations. That is, we want to build in reasonable life history and other constraints when doing Monte Carlo selections of parameter values. I know there's a lot out there on these subjects, but wasn't sure where to start.

Details: The model includes density-dependence in both reproductive output and winter survival, and environmental stochasticity in reproductive output, migratory survival, winter survival, and breeding and winter carrying capacities. Demographic parameters include intercept and slope for reproductive output and the effect of density on it, young and adult summer survival, fall and spring migratory survival (constrained to equal), the intercept and slope of winter survival and the effect of density on it, and the levels of environmental stochasticity (SD) previously mentioned.

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