Principles of Vegetation Measurement
and Assessment
(REM 410)

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Nested Frequency Techniques

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Measuring Frequency

Overcoming Quadrat Size Issues

One of the greatest shortcomings of assessing vegetation with frequency is that this measurement is completely depended on quadrat size. Challenges with quadrat size include:

  • You can't really know until after a pilot study or after collecting data what an appropriate size will be.  You need a plot that samples a frequency between 20% and 80%.
  • Even if you select a quadrat size that works this year, the quadrat may become too big or too small as the vegetation community changes.
  • A quadrat that is "just" right for one plant may be too big or too small for another species of interest. (Sounds a bit like Goldilocks searching for the right chair).

To overcome this "right size" problem, rangeland scientists, (Smith, Bunting, and Hironaka 1986), proposed a Nested Frequency plot where 3 plots were nested within one another.

With a nested quadrat, all plants recorded in the smallest section of the quadrat would automatically be known to occur in the larger quadrat. Each new plant occurring in successively larger quadrats, in the nested quadrate frame, is recorded. In the example below, the first section of the quadrat in which a plant occurs (1 = smallest, 2= medium, 3= largest) is recorded.

Sample 1:
Sample 2:
Sample 3:
DATA:       Frequency Count (of 3 Plots)
  Sample 1 Sample 2 Sample 3 Quad 1 (sm) Quad 2 (med) Quad 3 (lrg)
 Red Flower 1 1 1 3 3 3
 Blue Flower 1 3 3 1 1 3
 Yellow Flower 2 2 1 1 3 3
Grass  3 1  1 2 2 3
** record the quadrat in which the plant first occurs:  1 = smallest, 2= medium, 3= largest ** note, frequency count is cumulative, if plant occur in 1 it also occurs in 2, etc.

Nested Frequency Method

  • Create a quadrat that is a series of 3 to 5 quadrats nested within each other. A common frame size for herbaceous plants is 50 x 50cm, with four smaller quadrat sizes nested within the frame (5x5cm, 25x25cm, 25x50cm, and 50x50cm).
  • Record all plants in smallest quadrat, then in each successively larger quadrats
  • Presence of a plant in smaller quadrat = presence in larger quadrat. Only need to record species in larger quadrats that did not occur in smaller quadrats.
  • Estimate Frequency for each nested quadrat (small to large) separately.

  • Look at data to see which plot size most appropriately estimates each important species. Recall that a good plot size would yield a frequency between 20 and 80%. The advantage of this technique is that one does not need to determine in advance which plot size is going to best represent each species.

In the following example, Bottlebrush Squirreltail (SIHY) would be best sampled with a plot size 1 or 2. For Cheatgrass (BRTE), plot size 1 is the only size that is small enough.  For Hoods Phlox (PHHO), none of plot is big enough. Even plot size 4 yields only 5% frequency.

Summary Questions

  1. What is the advantage of using a nested-quadrat approach for estimating frequency over a single plot frame?

Advanced Questions:

  1. In the example data sheet above, calculate the frequency of each nested quadrats for:
    ►POSE (Poa secunda) or Sandberg Bluegrass
    ►PHLO2 (Phlox longifolia) or Longleaf Phlox
    ►ARTR2 (Aretmisia trdentata) or Big Sagebrush

    Click here for answers

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