Ecology Oct. 7th

Population Dynamics and Human Impact

Overview of Population Growth
  • Continuous growth of human populations has significantly impacted natural resources and ecosystems.
  • Current global human population is over 8.1 billion and has doubled since the 1960s.
  • Rapid growth in energy consumption and resource use:
    • From the Industrial Revolution to present, human population has quadrupled.
    • Energy consumption has increased by nearly 100 times over the same period.
Historical Context
  • Human population growth has accelerated since the Industrial Revolution:
    • First billion reached in the 1800s.
    • Currently adding a billion people every 13 years.
    • Graphical representation shows technology's impact on growth rates, with noted periods of population decline due to events like the plague.
Future Projections
  • Population growth rate is slowing but remains around 1.18% per year.
  • Future estimates suggest a potential population of 9-10 billion in 25 years.
  • The concept of carrying capacity (the number of individuals an environment can sustain indefinitely) is crucial in discussing population limits. Exceeding K can lead to resource depletion and environmental degradation.
Ecological Footprint
  • Each individual has an ecological footprint, representing the amount of productive area required to support their resource use:
    • Food production requires land, transportation, processing, and can generate pollution.
    • Components typically include cropland, grazing land, forest land, fishing grounds, and built-up land, as well as carbon footprint for energy consumption.
  • Estimates suggest Earth can support 4.5 billion people indefinitely under current living conditions.
    • North America: Can support around 1 billion given its higher per capita resource consumption.
    • India: Higher carrying capacity of approximately 14 billion due to lower resource use and different lifestyle patterns.
Population Growth Dynamics
  • Population growth is influenced by:
    • Birth rates, death rates, immigration, and emigration.
  • Types of growth:
    • Exponential Growth: Continuous increase in population, overlapping generations (e.g., humans), often seen in unlimited resource environments.
    • Geometric Growth: Discrete time periods where populations reproduce (e.g., annual plants, insects with distinct breeding seasons).
Mathematical Representation of Growth
  • Geometric Growth Rate (λ\lambda):
    • Defined by the equation: Future Population=Current Population×λ\text{Future Population} = \text{Current Population} \times \lambda
    • For \lambda > 1, the population grows; for λ=1\lambda = 1, it remains stable; for \lambda < 1, the population declines.
    • The geometric growth rate measures the factor by which the population multiplies itself per discrete time interval.
Examples of Growth Rates
  • Reindeer in Alaska: Introduced population of 25 increased to over 2,000 in 27 years with a λ\lambda of approximately 1.18, demonstrating rapid initial growth in a new environment.
  • Bacteria: Can double every 30 minutes, highlighting exponential potential growth under ideal conditions, where λ=2\lambda = 2 for each 30-minute interval.
Density-Dependent vs. Density-Independent Factors
  • Density-Dependent Factors: Variables that affect population growth based on population density;
    • Increased competition leads to higher mortality and lower birth rates (e.g., song sparrow populations, where clutch size decreases with higher density).
    • Examples include food availability affecting young production, predation, disease, and territoriality.
  • Density-Independent Factors: Variables that affect population regardless of density;
    • Weather patterns, natural disasters (e.g., floods, fires), and habitat destruction.
    • Example: Thrips populations driven by weather conditions, where extreme temperatures or rainfall can reduce population size irrespective of how many thrips are present.
Logistic Growth Model
  • Introduces the concept of carrying capacity (K), which limits growth over time, leading to an S-shaped curve:
    • Equation: dNdt=rN(1NK)\frac{dN}{dt} = rN(1 - \frac{N}{K})
    • Where:
    • dNdt\frac{dN}{dt} is the rate of population change.
    • rr is the intrinsic rate of natural increase.
    • NN is the current population size.
    • KK is the carrying capacity.
    • As population approaches K, the growth rate decreases towards zero because the term (1NK)(1 - \frac{N}{K}) approaches zero.
Age Structure and Population Dynamics
  • Understanding the age structure of populations is critical for predicting growth:
    • Human populations have diverse age distributions affecting growth potential; a large proportion of young individuals indicates future growth potential.
    • Example: Nigeria (young population with a broad base in age pyramids, indicating high birth rates and future growth) vs. Japan (aging population with a narrow base, indicating low birth rates and potential population decline).
Survivorship Curves and Life Tables
  • Different organisms exhibit different survivorship curves:
    • Type I (K-selected): Long life span, rapid decline after a certain age due to senescence (e.g., humans, large mammals).
    • Type II (Intermediate): Constant survival rates throughout life (e.g., some birds, small mammals).
    • Type III (r-selected): High mortality early on, with few individuals surviving to old age (e.g., barnacles, plants, fish).
  • Life tables track survival and reproduction rates across ages, informing population projections and identifying vulnerable life stages.
Management Implications
  • Useful for managing endangered populations and pest species by focusing conservation efforts on critical life stages or controlling factors affecting growth:
    • Example: Sea turtles require focus on juvenile/adult survival rather than just hatchlings, as juvenile and adult survival has a greater impact on population recovery.
    • Conservation strategies should prioritize factors with the most significant impact on population growth, often identified through population modeling.
Midterm Exam Information
  • Format: 36 multiple-choice questions in 50 minutes.
  • Content will include use of examples to support concepts, equations, and understanding growth dynamics, particularly in human contexts.
  • Review studied concepts carefully in preparation, including previous lectures and tutorial discussions.