Demography Lecture Notes

Population Ecology

  • Population Ecology: Studies factors affecting the number of individuals of a species in a location over time.
  • Population: A group of interacting individuals of a single species in a single location.

Factors Influencing Populations

  • Biotic Factors: Living components (e.g., lions, tigers, human poaching).
  • Abiotic Factors: Non-living components (e.g., temperature, rainfall).
  • Dispersion: Pattern of individuals in space.
    • Random: Unpredictable spacing.
    • Uniform: Even spacing due to interactions like chemical inhibition or territoriality.
    • Clumped: Clustering due to resource distribution, social groups, or reproductive behavior.

Population Size and Density

  • Population Density: Number of individuals in a defined area.
  • Population Size: Total number of individuals in a population across all areas.
  • population:size=density×areapopulation : size = density \times area

Measuring Populations

  • Full Census: Counting all individuals (feasible in some cases).
  • Sample Plots (Quadrats): Count individuals in randomly selected areas, average density, and extrapolate.
  • Mark-Recapture: Capture, mark, release, and recapture individuals to estimate population size.
  • Population Genetics: Using DNA to identify individuals.
Sample Plots
  • Divide the study area into subunits (quadrats) and count individuals in selected plots.
  • Calculate population density: Population:Density=Total:individuals:in:all:sample:plotsTotal:area:of:plotsPopulation : Density = \frac{Total : individuals : in : all : sample : plots}{Total : area : of : plots}
  • Extrapolate total population size from density:
    • Estimated:Population:Size=Population:Density×Total:Habitat:SizeEstimated : Population : Size = Population : Density \times Total : Habitat : Size
  • Limitations: Non-uniform distributions can lead to inaccurate estimates.
Mark-Recapture
  • Estimate population size using the proportion of marked animals in the recapture sample.
  • Formula: MN=rn\frac{M}{N} = \frac{r}{n}, where:
    • MM = number marked and released in sample 1,
    • nn = total captured in sample 2,
    • rr = number of recaptures,
    • NN = estimated population size.
  • Solve for N: N=MnrN = \frac{Mn}{r}
  • Assumptions:
    • Marked and unmarked individuals have an equal probability of sampling.
    • No birth, death, immigration, or emigration during resampling.
    • The population mixes thoroughly between samples.
  • If many are recaptured in the second sample, the population size is relatively small. If few are recaptured, the population size is relatively large.
  • Violations of Assumptions: Can lead to over or under-estimation of population size.
    • Animals avoid recapture: population size inflated.
    • Animals prefer recapture: population size underestimated.
DNA Sampling
  • Genetic Profiling: Using DNA to identify individuals, especially useful for elusive species.
  • Create genetic profiles from samples.
  • Compare eggshell samples to databases of adult females.

Demography

  • Demography: The study of populations and how they change over time.
  • Populations are described by age and sex structure, survivorship, and life history.

Age & Sex Structure

  • Age Structure: Distribution of individuals at different ages in a population.
  • Sex Structure: Ratio of males to females.
  • Relative proportions impact population stability and growth.
  • Age structure predicts population growth or decline.
    • Many young, few old: Rapidly Expanding
    • Few young, many middle aged: Contracting
  • Population increases if births > deaths, decreases if births < deaths.
    *Differential survival skews sex ratio.
    *Many species tend towards 1:1 sex ratio (M:F)
    *Skewed sex ratios impact reproduction & population growth. Strong skews in either sex decrease mating opportunities & increase inbreeding

Survivorship

  • Life Tables: Summarize mortality, survival, and reproduction in a population by age group.
  • Cohort Life Table: Tracks a group (cohort) from birth to death.
  • Static Life Table: Records the number of individuals of each age at a single time point.
  • Survivorship Curves: Summarize life table data, showing deaths over time.
  • Can compare intervention strategies for diseases using survivorship curves.
Types of Survivorship Curves
  • Type I: Low death rates early and middle life, steep increase in old age.
  • Type II: Constant death rate over lifespan.
  • Type III: High death rates for the young, low death rates for survivors.

Life History

  • Natural selection shapes traits related to reproduction and survival.
  • Key components:
    • Reproductive Onset: When reproduction begins.
    • Reproductive Frequency: How often to reproduce.
    • Reproductive Output: How many offspring each time.
Tradeoffs
  • Tradeoffs determine fecundity (reproductive capacity).
  • Caring for more young can lower parental survival.
  • High current reproductive investment reduces future reproductive success, and vice-versa.
  • Reproductive Onset: Early reproduction risks death without offspring, while later reproduction risks not surviving to reproduce.
  • Reproductive Frequency: Semelparous (reproduce once) vs. Iteroparous (reproduce repeatedly) species.
  • Reproductive Output: Number of offspring reflects parental investment.
Semelparity vs. Iteroparity
  • Semelparous: Invest all resources in one reproductive event.
  • Iteroparous: Balance investment in each reproductive event.
r/K Selection Theory
  • Parental investment balances demands in habitats varying in stability.
  • Reproductive strategies produce the most surviving offspring over an individual’s lifetime.