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 ():
- Defined by the equation:
- For \lambda > 1, the population grows; for , 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 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 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:
- Where:
- is the rate of population change.
- is the intrinsic rate of natural increase.
- is the current population size.
- is the carrying capacity.
- As population approaches K, the growth rate decreases towards zero because the term 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.