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Roadside Revegetation

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MONITORING PROCEDURES<br />

◾◾<br />

Columns I and J – If fewer than 20 transects were taken, the equations in the cells of<br />

column I and J that do not have data must be cleared for the spreadsheet to work (see<br />

highlighted cells in Figure 12-19).<br />

Calculating Confidence Intervals for Rectilinear Sampling Designs<br />

Figure 12-20 shows how to calculate confidence intervals for rectilinear sampling areas (see<br />

Section 12.7.2, Rectilinear Sampling Areas). Copy the equations exactly as they are shown<br />

in Figure 12-20 into the spreadsheet. Once the spreadsheet has been created, check the<br />

confidence limits in the spreadsheet. They should match those shown in Figure 12-20. If they<br />

do not, then review the spreadsheet for errors. To obtain a number for “T” (cell C28), the Excel<br />

ToolPak must be installed. To do this, go to the toolbar and select “Tools, Add-Ins,” and check<br />

the box next to “Analysis ToolPak.”<br />

The essential data needed to complete the spreadsheet is as follows:<br />

◾◾<br />

Parameters (Cell C2) – The parameter to be evaluated should be stated at the top<br />

of the quadrat columns. In this example, total cover for “seeded” native species was<br />

obtained from Figure 12-7, but any number of site attributes can be analyzed. Copying<br />

column C and pasting it in the columns to the right allows for multiple attributes to be<br />

analyzed in one spreadsheet.<br />

◾◾<br />

Field Data (Columns C through H) – The data collected at each quadrat for the parameter<br />

of interest is typed into these cells. This information comes from the spreadsheets<br />

developed for each procedure (Figure 12-4 Soil cover procedure, Figure 12-7 Species<br />

cover procedure, Figure 12-8 Species presence procedure, Figure 12-9 Plant density<br />

procedure, and Figure 12-10 Plant attributes procedure).<br />

1<br />

2<br />

B34<br />

A<br />

fx<br />

B<br />

Quadrat<br />

C<br />

Parameter:<br />

1<br />

2<br />

F16<br />

A<br />

fx<br />

B<br />

Quadrat<br />

C<br />

Parameter:<br />

Native Species Cover<br />

Figure 12-20 | Confidence intervals<br />

for rectilinear sampling designs<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

11<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

19<br />

20<br />

21<br />

22<br />

Field Data<br />

3<br />

4<br />

5<br />

6<br />

7<br />

8<br />

9<br />

10<br />

11<br />

12<br />

13<br />

14<br />

15<br />

16<br />

17<br />

18<br />

19<br />

20<br />

21<br />

22<br />

T1<br />

T2<br />

T3<br />

T4<br />

T5<br />

T6<br />

T7<br />

T8<br />

T9<br />

T10<br />

T11<br />

T12<br />

T13<br />

T14<br />

T15<br />

T16<br />

T17<br />

T18<br />

T19<br />

T20<br />

80<br />

90<br />

75<br />

60<br />

45<br />

32<br />

67<br />

50<br />

80<br />

50<br />

30<br />

50<br />

70<br />

90<br />

100<br />

80<br />

70<br />

65<br />

75<br />

25<br />

This figure shows how confidence intervals<br />

are obtained from a spreadsheet developed<br />

for rectilinear sampling designs.<br />

23<br />

24<br />

25<br />

26<br />

27<br />

28<br />

29<br />

30<br />

Mean<br />

Variance<br />

Standard Error<br />

Degrees of Freedom<br />

90% Lower Confidence Limit:<br />

90% Upper Confidence Limit:<br />

T<br />

= AVERAGE (C3:C22)<br />

= VAR(C3:C22)<br />

= SQRT(C25/COUNT(C3:C22))<br />

= COUNT(C3:C22)-1<br />

= TINV(0.1,C27)<br />

= C24-C28*C26<br />

= C24+C26*N28<br />

23<br />

24<br />

25<br />

26<br />

27<br />

28<br />

29<br />

30<br />

Mean<br />

Variance<br />

Standard Error<br />

Degrees of Freedom<br />

T<br />

90% Lower Confidence Limit:<br />

90% Upper Confidence Limit:<br />

= 64.2<br />

= 442.4<br />

= 4.7<br />

= 19<br />

= 1.7<br />

= 56.1<br />

= 64.2<br />

31<br />

31<br />

<strong>Roadside</strong> <strong>Revegetation</strong>: An Integrated Approach to Establishing Native Plants and Pollinator Habitat<br />

406

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