@article {Hazard:1986:0015-749X:447,
author = "Hazard, John W. and Pickford, Stewart G.",
title = "Simulation Studies on Line Intersect Sampling of Forest Residue, Part II",
journal = "Forest Science",
volume = "32",
number = "2",
year = "1986",
publication date ="1986-06-01T00:00:00",
abstract = "A simulation study was conducted to establish the statistical properties of line intersect sampling of forest residue on cable-logged and tractor-logged populations. These two distinctly patterned populations were described and reproduced in the computer by mathematical functions. Systematic grid sampling of clusters of one, two, and three lines with random and systematic orientation was performed. Three sampling allocation strategies were used to compare systematic grid sampling with random sampling; one-, two-, and three-line clusters; and systematic orientation with random orientation. The strategies studied were maximum precision for fixed total cost, fixed total length of transect, and fixed number of sample points (line clusters). The authors recommend systematic grid sampling of forest residues from cable logging. Either two- or three-line clusters at each grid point (line orientations of 90 or 120 degrees, respectively) axe most efficient: two-line clusters for controlling precision when total cost and total transect length are fixed; three-line clusters when the number of grid points is fixed. For sampling tractor-logged residues with a fixed total length of transect, we recommend sampling with one randomly located and oriented transect line per sample point. Otherwise, we recommend systematic sampling with two or three lines (at 90 and 120 degrees, respectively). Lines should be randomly oriented. Three lines are recommended for a strategy of fixed number of sample points, and two lines for a fixed cost strategy. Forest Sci. 32:447-470.",
pages = "447-470",
itemtype = "ARTICLE",
parent_itemid = "infobike://saf/fs",
issn = "0015-749X",
publishercode ="saf",
url = "http://www.ingentaconnect.com/content/saf/fs/1986/00000032/00000002/art00021",
keyword = "computer simulation, forest mensuration, Forest residue estimation, sampling methods"
}