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Population Ecology: Factors Affecting Population Size and Dynamics

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Population Ecology

Introduction to Population Ecology

Population ecology is the study of the factors that affect the size of populations and how these populations change over time. It is a central field in biology, providing insights into the dynamics of species in their environments and the mechanisms that regulate population growth and decline.

Biotic and Abiotic Factors Affecting Population Density, Dispersion, and Demographics

Population Definition and Boundaries

  • Population: A group of individuals of a single species living in the same general area.

  • Boundaries: Can be natural (e.g., lakes, islands) or arbitrarily defined by researchers (e.g., counties).

Density and Dispersion

  • Density: The number of individuals per unit area or volume (e.g., oak trees per square kilometer).

  • Dispersion: The pattern of spacing among individuals within the population boundaries.

Estimating Population Density

  • Direct counts in randomly located plots and extrapolation to the entire area.

  • Indicators such as nests, burrows, tracks, or fecal droppings.

  • Mark-recapture method for mobile or elusive species.

Dynamic Nature of Density

  • Density increases through births and immigration (influx from other areas).

  • Density decreases through deaths and emigration (movement out of the population).

Patterns of Dispersion

The spatial arrangement of individuals within a population provides insight into ecological and behavioral processes.

  • Clumped Dispersion: Individuals aggregate in patches, often due to resource availability or social behavior.

Clumped dispersion of sea stars and mussels

  • Uniform Dispersion: Individuals are evenly spaced, often due to territoriality or competition.

Uniform dispersion of penguins

  • Random Dispersion: The position of each individual is independent of others, occurring in the absence of strong attractions or repulsions.

Random dispersion of dandelions

Demographics

  • Demography: The study of vital statistics (birth, death, migration rates) and their changes over time.

Life Tables and Survivorship Curves

  • Life Table: An age-specific summary of survival and reproductive rates, often following a cohort from birth to death.

  • Survivorship Curve: A plot showing the proportion or number of individuals surviving at each age.

Survivorship curve for Belding’s ground squirrels

  • Three general types of survivorship curves:

    • Type I: Low death rates early and middle life, high death rates in older age (e.g., humans, elephants).

    • Type II: Constant death rate over the lifespan (e.g., rodents, lizards).

    • Type III: High death rates for young, lower for survivors (e.g., oysters, many fish, plants).

Three types of survivorship curves

Reproductive Rates

  • Measured as the average number of female offspring produced by females in each age group.

  • Varies widely among species (e.g., squirrels vs. oak trees).

Population Growth Models

Exponential Growth Model

Describes population growth under ideal, unlimited conditions. The population increases by a constant proportion at each instant.

  • Equation for change in population size (ignoring immigration and emigration):

  • Exponential growth equation:

  • r: Per capita rate of increase.

  • Results in a J-shaped curve when plotted over time.

Exponential growth curves

  • Characteristic of populations introduced to new environments or rebounding from drastic reductions.

Exponential growth of elephants in Kruger National Park

Logistic Growth Model

Incorporates the concept of carrying capacity (K), the maximum population size an environment can sustain. Growth slows as the population approaches K.

  • Logistic growth equation:

  • Produces an S-shaped (sigmoid) curve.

Exponential vs. logistic growth curves

  • Laboratory populations (e.g., Paramecium, Daphnia) often fit the logistic model under controlled conditions.

Logistic growth in ParameciumLogistic growth in Daphnia

  • Some populations overshoot K before stabilizing; others fluctuate greatly, making K difficult to define.

  • Applications: Conservation biology, sustainable harvest rates, extinction risk assessment.

Applications of logistic growth model

Life History Traits and Natural Selection

Life History Traits

Life history traits are evolutionary outcomes that affect an organism’s schedule of reproduction and survival. They include:

  • Age at first reproduction (maturity)

  • How often reproduction occurs

  • Number of offspring per reproductive episode

  • Semelparity: One-time, big-bang reproduction (e.g., agave plant).

  • Iteroparity: Repeated reproduction throughout life (e.g., oak tree).

Semelparity and iteroparity

  • Number of offspring varies widely (e.g., white rhinoceros vs. insects/plants).

White rhinoceros with calf

Trade-offs in Life Histories

Organisms face trade-offs because resources are limited. Investment in one function (e.g., reproduction) can reduce resources for another (e.g., survival).

  • Example: Larger brood sizes can reduce parental survival in Eurasian kestrels.

Trade-off between brood size and parental survival in kestrels

  • Selective pressures influence the number and size of offspring.

  • Species with low offspring survival produce many small offspring (e.g., dandelions).

Dandelion seeds

  • Species with high parental investment produce fewer, larger offspring (e.g., Brazil nut tree).

Brazil nut tree and seeds

  • K-selection: Traits favored at high density, near carrying capacity (few, well-provisioned offspring).

  • r-selection: Traits favored at low density, maximizing reproductive success (many, small offspring).

Density-Dependent Regulation of Population Growth

Population Regulation

  • Density-independent factors: Affect birth/death rates regardless of population density (e.g., weather events).

  • Density-dependent factors: Birth/death rates change with population density, regulating population size via negative feedback.

Density-dependent and density-independent regulation

  • Example: Kelp perch death rate increases as hiding spaces become scarce at high density.

Kelp perch death rate and density

Mechanisms of Density-Dependent Regulation

  • Competition for Resources: Increased density intensifies competition, reducing birth rates.

Competition for resources in crops

  • Disease: Transmission rates increase with density (e.g., influenza in cities).

Disease transmission in crowded populations

  • Territoriality: Competition for space limits population size (e.g., cheetahs marking territory).

Territoriality in cheetahs

  • Intrinsic Factors: Physiological changes (e.g., hormonal) can reduce reproduction at high density (e.g., white-footed mice).

Intrinsic factors in mice

  • Toxic Wastes: Accumulation of waste products can limit population size (e.g., ethanol in yeast cultures).

Toxic wastes in yeast

Population Dynamics

Stability and Fluctuation

  • Population sizes can fluctuate due to complex interactions between biotic and abiotic factors.

  • Examples include predator-prey cycles and environmental variability (e.g., moose and wolf populations on Isle Royale).

Immigration and Emigration

  • Along with births and deaths, immigration and emigration influence population size and structure.

  • Emigration often increases when populations become crowded and competition intensifies.

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