S6 SUPPLEMENT 2
on the Hubbard Brook experiment in which sci-
entists measured changes over time in the pres-
ence of soil nutrients in a forest (the dependent
variable) in response to removal of trees from
the forest (the independent variable).
On a line graph, the range of values for
the independent variable is usually placed
on the x-axis, while range of values for the
independent variable usually appears on the
y-axis (for example, see Figure 17-14, p. 455).
However, another way to represent changes
Finally, but no less important, a common
scientifi c use of the line graph is to show experi-
mental results. Usually, such graphs represent
variables, which are factors or values that can
change. Experimenters measure changes to a
dependent variable—a variable that changes in re-
sponse to changes in another variable called the
independent variable. The latter may be manipu-
lated by experimenters in order to cause changes
in the dependent variable. For example, in the
Core Case Study of Chapter 2 (p. 28), we report
representing the same data can look quite differ-
ent. For example, in Figure 6, the upper graph
shows the growth of the human population
from 8000 B.C. to the present, while the lower
graph shows human population growth between
1950 and 2010. The latter would be only a small
segment on the right end of the curve in the
upper graph.
Questions
- What would be your overall impression
of human population growth if you saw
only the upper graph? What would be your
overall impression if you saw only the lower
graph? - On the upper graph, mark what you would
estimate to be the left and right ends of
the segment of the curve that fall between
1950 and 2007. Why do you think the slope
(steepness) of this segment varies so much
from the slope of the curve in the lower
graph? Describe the differences between the
two graphs that might explain this difference
in slopes. - You can see from these graphs that by ad-
justing a graph’s time span and the height of
its y-axis, you can change the slope of the
curve. This can give the reader a different
first impression of the data. Does this make
the changed graph inaccurate or somehow
wrong? Explain. What does this tell you
about what you need to look for when read-
ing a graph?
It is also important to consider what aspect of
a data set is being displayed on a graph. The cre-
ator of a graph can take two different aspects of
one data set and create two very different look-
ing graphs that would give two different impres-
sions of the same phenomenon. For example,
we must be careful when talking about any type
of growth to distinguish the question of whether
something is growing from the question of how
fast it is growing. While a quantity can keep
growing continuously, its rate of growth can go
up and down.
One of many important examples of growth
used in this book is human population growth.
Look again at Figure 6. The two graphs in this
fi gure give you the impression that human
population growth has been continuous and
uninterrupted, for the most part. However con-
sider Figure 7, which plots the rate of growth of
the human population since 1950. Note that all
of the numbers on the y-axis, even the smallest
ones, represent growth. The lower end of the
scale represents slower growth, the higher end,
faster growth.
Questions
- If this graph were presented to you as
a picture of human population growth,
what would be your first impression? Do
you think that reaching a growth rate of
0.5% would relieve those who are con-
cerned about overpopulation? Why or why
not? - As the curve in Figure 7 proceeds to the right
and downward, what do you think will hap-
pen to the curve in the lower graph in Fig-
ure 6? Explain.
A
0
1
2
3
4
5
6
7
8
9
10
11
12
13
2–5 million
years
8000 6000 4000 2000
A. D.
2000 2100
Time
Billions of people
Black Death—the Plague
Industrial revolution
B. C.
Hunting and
gathering
Agricultural revolution Industrial
revolution
?
Billions of people
B
0
1
2
3
4
5
6
7
8
1950 1960 1970 1980 1990 2000 2010
Figure 6 Two graphs show-
ing human population growth.
The upper graph spans the time
between 8000 B.C. and 2100
A.D. The lower graph runs from
1950 A.D. to 2010.
0.0
0.5
1.0
1.5
Average annual global growth rate (percent)
2.0
2.5
1950 1970 1990
Year
2010 2030 2050
Figure 7 Annual growth rate in
world population, 1950–2007,
with projections to 2050. (Data
from U.N. Population Division and
U.S. Census Bureau)