Which graph best represents logistic growth approaching carrying capacity?

Which graph best represents logistic growth approaching carrying capacity?

• A. Exponential growth curve.
• B. A flat line indicating no growth.
• C. An S-shaped curve.
• D. A downward trend.

Answer: (C)

Logistic growth reflects how a population expands when resources are limited and competition increases as numbers rise. When the population is small, growth is rapid because there’s plenty of resources. As it grows, resources become scarcer and the growth rate slows, eventually leveling off near the carrying capacity, where births balance deaths and the population stabilizes. That pattern creates an S-shaped (sigmoidal) curve, which is why this option best represents logistic growth approaching carrying capacity. The other graphs don’t fit: exponential growth would keep rising without leveling off, a flat line shows no change, and a downward trend shows a shrinking population.

Logistic growth reflects how a population expands when resources are limited and competition increases as numbers rise. When the population is small, growth is rapid because there’s plenty of resources. As it grows, resources become scarcer and the growth rate slows, eventually leveling off near the carrying capacity, where births balance deaths and the population stabilizes. That pattern creates an S-shaped (sigmoidal) curve, which is why this option best represents logistic growth approaching carrying capacity. The other graphs don’t fit: exponential growth would keep rising without leveling off, a flat line shows no change, and a downward trend shows a shrinking population.