Human Population Raising Carrying Capacity

Human Population Objectives:

Explain how we (humans) have raised our carrying capacity and describe how this relates to trends in life expectancy, infant mortality, fertility rate, and overall growth.
Match different forms of data visualization with the information that is being conveyed.

Earlier in the term, we worked with this population size chart.

What if a species could dramatically raise its own carrying capacity? What would happen to the size of that population?

We are living this experiment right now.

This video provides as overview of the current state, and future predictions, related to our population size. Make note of the trends in life expectancy, infant mortality, fertility rate, and growth.

We have raised our own species’ carrying capacity significantly over the past 150 years.

Green Revolution

The mechanization of food production and distribution has improved human survival, although a great deal of food production still relies on human labor.

Modern Medicine

Sterile technique, vaccines, and antibiotics have increased human survival.

Along with agricultural and medical advances, other key research and engineering advances have included portable sanitation, community water treatment, and education. Services vary significantly worldwide.

This population growth figure shows four different stages. In the first stage, annual birth rate and death rate are high and similar, so the population is a constant size. In the second stage, something drops the death rate like more food or better medicine. Since the annual birth rate now exceeds death rate, the population size is increasing. In the third stage, birth rate is declining. In humans this happens when more infants survive and families start having fewer children. The population is still increasing because birth rate still exceeds death rate. In the fourth stage, birth rate and death rate are the same again and the population stays a constant size.

Countries with more people at younger ages will grow in size in the future as these individuals enter their reproductive years. So there will be a large population increase in Nigeria, but not the United States. These population pyramids are important in planning what resources will be needed in the future and whether there will be enough young people in the workforce.

Data Visualizations

Data visualization is the use of graphs, plots, infographics, and other figures to visually represent data.

You will be creating your own data visualization as one of this week’s media pieces.

Data visualization starts with a choice: selecting the correct format to represent the data accurately.

Advance through this slider to review eight common forms of data visualization, and what they represent.

Hover over the images to pause the scroll

Time Series

A single variable is captured over a period of time. A line is often used to connect the data, showing trends in the variable over time.

Correlation

This compares two variables (X,Y) and shows whether they move in the same or opposite directions. A scatterplot is often used for correlative data.

Ranking

The categories are ranked in an ascending or descending order. A bar chart is often used. This is not continuous data like a line chart, but data representing different collection intervals, with no assumption of linearity between the bars.

Part to a Whole

Divided parts are compared to a larger whole. A pie chart is frequently used to show percentages.

Deviation

A comparison of the actual data to a reference. Bar charts are often used to show the deviation of the real from expected data.

Frequency Distribution

Provides the number of a variable at an interval, typically a time interval. A histogram is often used for displaying this data.

Nominal Comparison

This represents categories that are not in a particular order. Bar charts are often used, and there is no assumed relationship between the different bars,

Geospatial

A variable is located on a map or layout, the visualization is called a cartogram.

Once you have selected a type of figure that accurately represents the data, it is time to add information to make sure the figure is clear and easy to read.

Labels provide critical information on what is included in a figure.

This typically includes a title, labeled axes, and a key of any lines, bars, dots, or other data represented in the chart in which the meaning is not obvious.

Line, colors, textures, and patterns can distinguish between different forms of data.

It is important to minimize information that may distract from the data or lead to misconceptions.

Now, the data visualization needs to be engaging: capturing and holding the viewer’s attention so they will read and think about the figure.

This video presents the idea of making data visualizations engaging to a reader.

People will not look for information within data, or convert that information into knowledge and usable wisdom, unless the data is presented in an accurate, clear, and compelling manner.

One of your media pieces this week is to make your own data visualization. This would be the perfect time to complete this assignment.

Data Visualization Media Piece

The next section introduces interactions between humans and the environment.

Check your knowledge. Can you:

Explain how we (humans) have raised our carrying capacity and describe how this relates to trends in life expectancy, infant mortality, fertility rate, and overall growth?
Match different forms of data visualization with the information that is being conveyed?

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Habitat Guide Contents

This guide’s material will be assessed on the weekly quiz.

Human Population - YOU ARE HERE