Question

Why would a point-quarter method work best for sampling trees in a forest instead of getting a total count random count?

Answer 1

The point-quarter technique is perhaps the most popular of the plotless sampling

techniques. Each sample is taken at a random location in the area to be sampled. This is

frequently done by choosing random points along a transect, but any randomization

technique may be used. The area near each random point (sample point) is divided into

four imaginary quadrants as indicated below. Within each quadrant, the nearest tree is

included in the field sample. There are four quadrants, so you will measure a total of four

trees at each sample point. In the diagram below, point A represents a random point

(sample point) and the letters b through h represent trees. The tees b, d, e and h would be

included as the four nearest trees within each quadrant that are nearest to A.

C 대 d e f 나.