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🐇Honors Biology Unit 18 Review

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18.1 Population Dynamics and Growth Models

🐇Honors Biology
Unit 18 Review

18.1 Population Dynamics and Growth Models

Written by the Fiveable Content Team • Last updated September 2025
Written by the Fiveable Content Team • Last updated September 2025
🐇Honors Biology
Unit & Topic Study Guides
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Population dynamics explores how and why populations change over time. It's all about birth rates, death rates, and migration patterns. These factors determine whether a population grows, shrinks, or stays stable.

Growth models help predict population changes. The exponential model shows rapid growth in ideal conditions, while the logistic model accounts for real-world limits. Understanding these models is key to managing wildlife, controlling pests, and planning for human population needs.

Population Growth Models

Exponential Growth Model

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  • Populations can grow exponentially when resources are abundant and there are no limiting factors
  • Exponential growth occurs when the per capita rate of increase remains constant, resulting in a J-shaped curve
  • The exponential growth model is described by the equation $\frac{dN}{dt} = rN$, where $N$ is the population size, $r$ is the intrinsic growth rate, and $t$ is time
  • Exponential growth is unsustainable in the long term because resources eventually become limiting (nutrients, space)

Logistic Growth Model and Carrying Capacity

  • The logistic growth model accounts for the limiting factors that restrict population growth
  • As population size increases, the per capita rate of growth decreases due to competition for resources, resulting in an S-shaped curve
  • The logistic growth model is described by the equation $\frac{dN}{dt} = rN(\frac{K-N}{K})$, where $K$ is the carrying capacity
  • Carrying capacity is the maximum population size that an environment can sustain indefinitely, given the available resources (food, water, habitat)
  • When a population reaches its carrying capacity, the birth rate equals the death rate, resulting in a stable population size

Factors Affecting Population Growth

Density-Dependent Factors

  • Density-dependent factors are biological or environmental factors that have a greater impact on population growth as population density increases
  • Examples of density-dependent factors include competition for resources (food, water, space), predation, disease, and parasitism
  • As population density increases, these factors become more intense, slowing down population growth and potentially leading to population decline
  • Density-dependent factors are the primary regulators of population size and help maintain populations near their carrying capacity

Density-Independent Factors and Life History Strategies

  • Density-independent factors affect population growth regardless of population density
  • Examples of density-independent factors include natural disasters (earthquakes, hurricanes), severe weather conditions (droughts, floods), and human activities (habitat destruction, pollution)
  • r-selected species have a life history strategy characterized by rapid growth, early maturity, high fecundity, and short lifespan (bacteria, annual plants, insects)
  • K-selected species have a life history strategy characterized by slow growth, late maturity, low fecundity, and long lifespan (elephants, whales, humans)
  • r-selected species are better adapted to unstable environments and can quickly colonize new habitats, while K-selected species are better adapted to stable environments and invest more resources in fewer offspring

Population Characteristics

Age Structure and Survivorship Curves

  • Age structure refers to the proportion of individuals in different age groups within a population
  • Age structure diagrams (pyramids) can be used to visualize the distribution of individuals across age groups and predict future population growth
  • Three types of age structure diagrams: expanding (broad base, rapid growth), stationary (stable), and contracting (narrow base, declining growth)
  • Survivorship curves depict the proportion of individuals in a cohort (born at the same time) that survive to each age
  • Three types of survivorship curves: Type I (low mortality until old age, humans), Type II (constant mortality throughout life, birds), and Type III (high early mortality followed by low mortality, oysters)
  • Survivorship curves provide insights into the life history strategies and environmental pressures faced by different species