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# Fixed Plot Sampling - PowerPoint PPT Presentation

Fixed Plot Sampling. Cruise Design Measurement Computations. Sampling Intensity. Determined by Value of product(s) Variability within the stand Budget limitations. Application. Trees in the population are selected with equal probability

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## PowerPoint Slideshow about ' Fixed Plot Sampling' - darin

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Presentation Transcript

Cruise Design

Measurement

Computations

• Determined by

• Value of product(s)

• Variability within the stand

• Budget limitations

• Trees in the population are selected with equal probability

• Normally plot locations are allocated on an unbiased grid pattern

• Works best for large areas with relatively uniform density and species distribution

• If highly variable stand, large plots and/or large numbers of plots may be needed to get accurate estimates.

• USFS Way

Sample Selection – from Precruise data

• Determine the sampling error for the sale as a whole. (set to 10%)

• Subdivide (or stratify) the sale population into sampling components as needed to reduce the variability within the sampling strata.

• Calculate the coefficient of variation (CV) by stratum and a weighted CV over all strata. (this will be covered more later in the statistics lectures)

• Calculate number of plots for the sale as a whole and then distribute by stratum.

Value of t is assumed to be 2

Error is set at 10%

• For each stratum, the calculation would look like this:

• n1 = (17.6 * 185) / 67.9 = 48 plots

• n2 = (7.7 * 185) / 67.9 = 21 plots

• n3 = (7.2 * 185) / 67.9 = 20 plots

• n4 = (35.4 * 185) / 67.9 = 96 plots

• Which totals to the 185 plots for the sale.

• 1 divided by the fixed plot size times the number of plots

Sample Error - step 1 (Calculate Standard Error)

36.2% is a bit larger than the level we set to begin with (10%) – Implications?

• Without Precruise data (cheaper)

• Assumes fairly uniform distribution of species, sizes and grades

• Can work for even-aged or uneven-aged stands if assumptions are met

Plot Cruising

Plot cruise planning:

160 acre tract

10% cruise (sample)

1/5 acre plots

Given

1. Area to be sampled:

Plot Cruising

Plot cruise planning:

160 acre tract

10% cruise (sample)

1/5 acre plots (0.2 ac.plots)

area sampled = 16.0 ac.

2. No. of plots needed:.

Plot Cruising

Plot cruise planning:

160 acre tract

10% cruise (sample)

1/5 acre plots

area sampled = 16.0 ac.

80 plots needed

3. Samples represent how much area?

Plot Cruising

Plot cruise planning:

160 acre tract each represents 2 acres (20 sq. chains)

10% cruise (sample)

1/5 acre plots

area sampled = 16.0 ac.

80 plots needed

4. Plot spacing?

Distance between plots

Plot Cruising

Plot cruise planning:

160 acre tract each represents 2 acres (20 sq. chains)

10% cruise (sample) 5 chain spacing between lines

1/5 acre plots

area sampled = 16.0 ac.

80 plots needed

5. Plot spacing?

Distance between lines

Office Procedures

• Tract size times percentage sampling intensity gives you total sample area needed

• Example: 23 acre tract X 10 percent sample = 2.3 acres

• Area needed times plot area gives plots needed.

• Goal: Select plot size that yields around 4 to 8 trees per plot

• Example 1: 2.3 acres X 5 (fifth acre plots per acre) = 11.5 plots (make it 12)

• each represents 2 acres

• Example 2: 2.3 acres X 10 (tenth acre plots per acre) = 23 plots

• each represents 1 acre

• Plot center is marked

• Often 10 percent sampled

• Unless huge forest with limited budget

• Or highly variable forest

• Or high valued forest

Can be unbiased yet systematic by randomizing location of start point and bearing of sample lines.

Fixed Plot Cruising

• Mark plot center

• Start checking trees for tally clockwise from the North for consistency

• Mark each finished tree to prevent tallying the same tree twice

• If entire plot doesn’t fall within the survey area, don’t simply shift the plot center so it fits into the tract. This results in fewer edge trees sampled.

• If entire plot doesn’t fall within the survey area, double count the half that does.

• can be used in corners where all tally trees are counted 4 times.

Imagine folding the plot back on itself

If a line the same distance from the plot center to the tree, when projected through the tree crosses the boundary, count it twice.

• Date = 8/19/2013 Size = 1/10th acre Forest Cover Type =

• Stand Size and Condition = Stand Age = Stocking or Density Class =

• Site Index = Slope = Soil Classification =

• Understory Vegetation = Treatments needed =

• Plot = 1

• Tree Species DBH Form Class Height Grade Crown Class Notes

• 1 RO 14 78 1.5 2

• 2 SP 16 80 2 2

• 3 YP 18 82 2.5 1

• Plot = 2

• Etc.

• Can be preformed by hand, in Excel or in Two Dog

• Trees per acre – by species and/or by size

• Basal Area per acre – by species and/or by grade

• Expansion Factor equals percent area sampled

• No. of trees Cubic-foot volumes------------------------------------ ---------------------------------DBH Per acre Per acre(in.) Tract total average Tract total average------------------------------------------------------------------------------------------- 5 1195.5 11.2 1730.4 16.1 6 1432.6 13.4 3767.6 35.1 7 1455.1 13.6 5667.8 52.9 8 1150.6 10.7 6294.4 58.7 9 1128.0 10.5 8379.0 78.2 10 1082.9 10.1 10622.4 99.1 11 823.4 7.7 11142.7 103.9 -------- ----- ---------- -------Total 8268.1 77.2 47604.3 444.0

Stand table gives estimated number of stems by size (in this case) and per acre

Stock table gives total volume and per acre volume (could be board foot or cubic foot)

107.2 acre tract of small mixed hardwoods