READING AND INTERPRETING SYSTEMS DIAGRAMS. This diagram illustrates relationships between factors that influence erosion in agricultural systems Modified.

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Presentation transcript:

READING AND INTERPRETING SYSTEMS DIAGRAMS

This diagram illustrates relationships between factors that influence erosion in agricultural systems Modified from: Pruski, F. F., and M. A. Nearing, 2002, Climate-induced changes in erosion during the 21st century for eight U.S. locations, Water Resour. Res., 38(12), 1298, doi: /2001WR

The direction of the arrows indicates cause and effect relationships (diagram modified from Pruski and Nearing, 2002)

For example, this arrow tells us that changes in precipitation cause changes in runoff (diagram modified from Pruski and Nearing, 2002)

If it were pointing the other way, that would mean that changes in runoff cause changes in precipitation. This doesn’t make much sense! (diagram modified from Pruski and Nearing, 2002) X

But, the direction of the arrows doesn’t tell us how a factor impacts other factors. (diagram modified from Pruski and Nearing, 2002)

The + and – signs indicate what type of relationship exists between the factors. (diagram modified from Pruski and Nearing, 2002) = positive relationship - = negative relationship

A positive relationship means that a change in one factor causes an effect on another factor in the same direction. (diagram modified from Pruski and Nearing, 2002) + + +

For example, this arrow indicates that… an increase in precipitation causes an increase in runoff AND a decrease in precipitation causes a decrease in runoff (diagram modified from Pruski and Nearing, 2002) +

- - A negative relationship means that a change in one factor causes an effect on another factor in the opposite direction.

(diagram modified from Pruski and Nearing, 2002) - For example, this arrow indicates that… an increase in crop yield causes a decrease in erosion AND a decrease in crop yield causes an increase in erosion

So, we can use this diagram to describe relationships between factors that influence erosion in agricultural systems and predict how changes in one factor will influence other factors. (diagram modified from Pruski and Nearing, 2002)