Modelling the Sigmoid Population Growth Curve
- Populations do not grow indefinitely. Instead, they follow an S-shaped (sigmoid) growth curve under natural conditions, which reflects the impact of resource availability, competition, and environmental limitations.
- This curve shows how populations increase rapidly at first, slow as resources become limited, and eventually stabilize near the carrying capacity.
- The sigmoid growth curve models real-world population dynamics.
- It explains why populations don’t grow infinitely and how resource availability, competition, and carrying capacity interact to shape growth patterns.
- Always mention the three phases (exponential, transitional, plateau) when explaining the sigmoid curve in exams.
The Sigmoid Growth Curve: Three Phases
- Exponential Growth Phase – Rapid population increase due to:
- Abundant resources (e.g., food, space, nutrients).
- Minimal limiting factors like predators or competition.
- Transitional Phase – Growth slows as:
- Competition for resources intensifies (e.g., food shortages, lack of space).
- Waste accumulation increases environmental stress.
- Predation and disease start having a larger impact.
- Plateau Phase – Population stabilizes because:
- Birth and death rates equalize.
- Carrying capacity (K) is reached, the environment can no longer support further growth.
- Competition and predation prevent unchecked expansion.
The carrying capacity is not fixed. It can change due to environmental factors like climate, availability of resources, or human intervention.
Modelling Duckweed Growth
Duckweed (Lemna spp.) is a floating aquatic plant, that reproduces rapidly and is ideal for observing population dynamics in a controlled environment.
Steps to Model Duckweed Growth:
- Set Up the Experiment:
- Fill a container (e.g., a tank or jar) with water and add nutrients like fertilizer to support duckweed growth.
- Introduce a small number of duckweed fronds into the container.
2. Monitor Growth:
- Count the number of fronds at regular intervals (e.g., daily or every two days).
- Record data on population size over time.
3. Analyze the Data:
- Plot a graph with time on the x-axis and population size on the y-axis.


