CH. 1.7 - Understanding Feedback Dynamics and Thresholds

Oct 2, 2024

Feedback Processes

Types of Feedback

  • Positive Feedback
    • Cause and effect move in the same direction.
    • Examples:
      • Increase leads to increase.
      • Decrease leads to decrease.
  • Negative Feedback
    • Cause and effect move in opposite directions.
    • Examples:
      • Increase leads to decrease.
      • Decrease leads to increase.

Deer and Grass Example

  • Less grass → Less deer
    • Positive Feedback: Decrease leads to a decrease.
  • Fewer deer → More grass
    • Negative Feedback: Decrease leads to an increase.
  • More grass → More deer
    • Positive Feedback: Increase leads to an increase.
  • More deer → Less grass
    • Negative Feedback: Increase leads to a decrease.
  • Importance: Negative feedback maintains system equilibrium.

Example of Positive Feedback Without Negative Feedback

The Water Cycle and Ice Ages

  • Process:
    • Water evaporates, forms clouds, precipitates (rain/snow).
    • Snow is white, reflects sunlight, cools Earth.
  • Positive Feedback Cycle:
    • Cooling → More snow → More reflection → More cooling.
    • Leads to rapid ice ages (decades, not thousands of years).
  • Threshold Concept: Critical to break positive-only feedback loop.

Threshold in Ice Ages

  • Initial Cooling
    • Snow expands, Earth gets colder.
  • Ocean's Role
    • Takes longer to cool than land; contains more heat.
    • Gradual cooling leads to reduced evaporation and snowfall.
  • End of Ice Age
    • Snow reduces through sublimation (solid to gas).
    • Ground changes from white to dark, absorbs heat, warms planet.

Threshold Concept

  • Definition: Point where a different process interrupts feedback cycle.
  • Pot Plant Example
    • Fertilizer initially helps growth.
    • Over-fertilization kills plant, demonstrating threshold.

Key Takeaways

  • Positive feedback can lead to rapid changes when unchecked by negative feedback.
  • Thresholds are crucial in breaking feedback cycles and restoring balance.
  • Understanding feedback dynamics is vital for predicting and managing ecological and environmental changes.