Age-Structured Model

Age-Structured Model

Demographics A mathematical model which divides a population into different age classes in order to evaluate the effects of age-dependent infection, morbidity or mortality rates or age-specific vaccination schedules, and other factors.
Epidemiology A mathematical model that stratifies a study population into different age classes. See Population.
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This comparison will shed light on the influence steepness has on the estimates MSY-based RPs when using a complex age-structured model.
ABSTRACT Exploitation rates for the Pacific geoduck commercial fishery in British Columbia are currently based on an age-structured model using geoduck age data derived from the ring-counting method.
Parameters for the logarithm of the adult female rate of demographic variation ofthe age-structured model FT1.
Epifil: The development of an age-structured model for describing the transmission dynamics and control of lymphatic filariasis.
We investigated the effectiveness of this measure by using a dynamic age-structured model.
We used Sherman and Runge's demographic information to to build a sex- and age-structured model with 6 age-classes: juvenile, 1-yr-old, 2-yr-old, 3-yr-old, 4-yr-old, and (5-yr-old (Fig.
Y], under the correction, will always tend to increase rather than decrease population growth rates (though this may again be violated in an age-structured model where parents may have higher reproductive values than new recruits).
This information is used to implement an age-structured model considering ages between 1 and 19 years and combined genders.
Historic recruitment patterns were back calculated using an age-structured model.
The value of M estimated by the age-structure model was likely to be more accurate than estimated by the method of catch curve analysis of age frequency distributions, because the age-structured model takes into account the temporal variations in recruitment and young geoduck not fully vulnerable to fishing.
A simple age-structured model (Appendix I) was set up to simulate a population for 20 years, starting from an unexploited population and generating catch, effort, and catch-at-age data.