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Unit 2Lesson 5 2 min read

Human Population Growth

11/18

Learning Objectives

Describe the historical trend of human population growth.
Distinguish between exponential and logistic growth models.
Define carrying capacity and its relevance to the human population.
Explain how factors like birth rates, death rates, and technology affect population growth.

The Human Population Explosion

For most of human history, our population grew very slowly. However, in the last 200 years, the global human population has experienced a period of unprecedented exponential growth. Understanding the dynamics of this growth is a key aspect of environmental science.

Growth Models

Exponential Growth (J-shaped curve): This occurs when a population grows at a fixed percentage rate each year. For a long time, the human population has followed this pattern, driven by a birth rate that consistently exceeded the death rate.
Logistic Growth (S-shaped curve): This is a more realistic model for most species, where population growth slows and levels off as it approaches the environment's carrying capacity.

Carrying Capacity (K)

Carrying capacity is the maximum population size that an environment can sustainably support over a long period. For other species, this is determined by limiting factors like food, water, and space.

The Human Question: What is the Earth's carrying capacity for humans? This is a complex and debated question. Unlike other species, humans can use technology to manipulate their environment and increase the carrying capacity. The development of agriculture, medicine, and sanitation has allowed our population to grow far beyond what would have been naturally possible. However, this has come at the cost of resource depletion and environmental degradation.

Factors Affecting Human Population Growth

The rate of population growth is determined by the interplay of several factors:

1.Birth Rate: The number of live births per 1,000 people in a year.
2.Death Rate: The number of deaths per 1,000 people in a year.
3.The Demographic Transition: This is a model describing the shift from high birth and death rates to low birth and death rates as a country develops economically.
Stage 1 (Pre-industrial): High birth and death rates, stable population.
Stage 2 (Developing): Death rates fall due to better medicine and sanitation, but birth rates remain high. This leads to rapid population growth.
Stage 3 (Industrial): Birth rates begin to fall as education and economic conditions improve. Growth slows.
Stage 4 (Post-industrial): Both birth and death rates are low, leading to a stable or even declining population.

The future of human population growth will depend on resource management, technological innovation, and societal choices that influence birth rates.

Key Terms

Exponential Growth
Growth whose rate becomes ever more rapid in proportion to the growing total number or size.
Logistic Growth
A pattern of population growth that slows and stabilizes as it approaches the carrying capacity.
Carrying Capacity (K)
The maximum population of a given species that a particular habitat can sustain indefinitely.
Birth Rate
The number of live births per thousand of population per year.
Death Rate
The number of deaths per thousand of population per year.
Demographic Transition
A model that describes population change over time, observing changes in birth and death rates in industrialized societies.

Check Your Understanding

1

For most of the last 200 years, the global human population has exhibited what type of growth pattern?

2

What is the primary reason that human population growth accelerated so dramatically after the Industrial Revolution?

3

What is the demographic transition model?