Demography and Population Structure

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These flashcards cover the core concepts of demography, population structure, population genetics (Hardy-Weinberg Equilibrium), and S-I-R disease modeling based on the Class 6 lecture notes.

Last updated 4:34 AM on 7/7/26
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36 Terms

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Population Structure

The static demographic makeup or composition of a population at a moment in time, including age, sex, geographic distribution, and allele frequencies.

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Population Dynamics

The underlying processes explaining how and why populations change in their distribution, abundance, and structure over time.

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Net Reproductive Rate (R0R_0)

The average number of female offspring produced by an individual female in her lifetime; it is calculated by summing the survival-adjusted fecundity column (lxbxl_x b_x) in a life table.

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Cohort

A group of individuals born during the same time period, such as larvae spawned in the same year.

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Cohort Life Table

A demographic tool containing data collected by tracking a specific cohort through time from birth to death.

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Static Life Table

A short-term snapshot recording the birth and death rates by age across an entire population at one time.

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Age Distribution

The current distribution of individuals categorized by age within a population.

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Proportion Surviving (lxl_x)

The fraction of a cohort surviving to a specific age xx, calculated as lx=NxN0l_x = \frac{N_x}{N_0}.

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Age-specific Mortality (qxq_x)

The proportion of individuals at age xx that die before reaching the next age class, calculated as qx=dxNxq_x = \frac{d_x}{N_x}.

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Age-specific Fecundity (bxb_x)

The average number of offspring produced by an individual of a specific age xx. (Note: Referred to as mxm_x in some textbooks).

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Type I Survivorship Curve

A pattern where individuals have high survival rates until old age, at which point mortality increases rapidly; characteristic of species like Humans and Elephants.

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Type II Survivorship Curve

A pattern where individuals have a constant probability of dying at any age; characteristic of species like Robins and Starlings.

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Type III Survivorship Curve

A pattern characterized by extremely high mortality in the juvenile stage, with stable survival rates for those reaching adulthood; characteristic of species like Barnacles and White Oak.

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Nodes

In life cycle graphs, these represent specific categories or classes of individuals, such as juveniles or mature adults.

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Transitions

The connections or arrows in a life cycle graph that show the probability of moving between life stages, such as maturation or survival.

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Population Genetics

The study of how genetic variation is distributed within a population and how that variation changes over time.

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Allele

Different versions of DNA that code for the same heritable trait.

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Genotype

The specific combination of alleles an individual inherited (e.g., homozygous BBBB or heterozygous BbBb).

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Phenotype

The physical expression of an individual's genotype.

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Hardy-Weinberg Equilibrium (HWE)

A null hypothesis stating that genotype frequencies will remain constant and proportional to allele frequencies (p2p^2, 2pq2pq, and q2q^2) in the absence of evolution.

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HWE Assumptions

The five conditions required for a population to remain in Hardy-Weinberg Equilibrium: random mating, no mutations, large population size, no gene flow, and no natural selection.

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S-I-R Model

A structured population model used to track disease spread through three classes: Susceptible (SS), Infected (II), and Recovered (RR).

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Beta (β\beta)

The parameter representing the infection rate in disease modeling.

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Gamma (γ\gamma)

The parameter representing the recovery rate in disease modeling.

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Disease Reproduction Number (R0R_0)

The number of new infections produced by one sick individual, calculated as R0=rate of infectionsrate of recoveryR_0 = \frac{\text{rate of infections}}{\text{rate of recovery}}. If R0>1R_0 > 1, the disease will spread.

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Herd Immunity

Indirect protection from an infectious disease that occurs when a sufficiently large percentage of a population becomes immune, making transmission unlikely.

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Vaccination Threshold (pp)

The proportion of a population that must be vaccinated to achieve herd immunity (R0<1R_0 < 1), calculated using the relationship R0×(1p)<1R_0 \times (1 - p) < 1.

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Harmonia axyridis

The scientific name for the Asian lady beetle, used as an example to demonstrate heritable color patterns and testing for Hardy-Weinberg Equilibrium.

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North Atlantic Right Whale

A species used as an example for life cycle graphs, categorized by stages: Calf, Immature Female, Mature Female, and Mature Female with Calf.

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Cohort Life Table

A demographic tool containing data collected by tracking a specific cohort through time from birth to death.

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Static Life Table

A short-term snapshot recording the birth and death rates by age across an entire population at one time.

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Life Cycle Graphs

Visual representations of the life stages and transitions of organisms, indicating the probabilities of moving between different life stages.

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S-I-R Model

A structured population model used to track disease spread through three classes: Susceptible (SS), Infected (II), and Recovered (RR). The rates of change for each group are represented by differential equations: dSdt=βSI\frac{dS}{dt} = -\beta SI, dIdt=βSIγI\frac{dI}{dt} = \beta SI - \gamma I, dRdt=γI\frac{dR}{dt} = \gamma I.

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Rate of Change for Susceptible (dSdt\frac{dS}{dt})

Represents the rate at which susceptible individuals become infected, calculated as dSdt=βSIN\frac{dS}{dt} = -\beta S\frac{I}{N}, where β\beta is the infection rate and II is the number of infected individuals. Change in S = Loss from class due to getting sick.

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Rate of Change for Infected (dIdt\frac{dI}{dt})

Represents the rate at which infected individuals change status, calculated as dIdt=βSIγI\frac{dI}{dt} = \beta SI - \gamma I, where γ\gamma is the recovery rate. Change in I = Gain from class due to getting sick - Loss from class due to recovery.

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Rate of Change for Recovered (dRdt\frac{dR}{dt})

Represents the rate at which infected individuals recover, calculated as dRdt=γI\frac{dR}{dt} = \gamma I, where γ\gamma is the recovery rate. Change in R = Gain from recovery.