Should damaged trees be clear cut and replanted or allowed to
recover naturally? Is the deer herd large enough to survive hunting
pressure? Managing forest resources entails numerous decisions.
Making these decisions intelligently requires sound information
about the resource in question. Ideally, assessments should be
based on the entire population involved. However, the costs in time
and money often prevent this, and evaluations - or sampling - are
done on a small portion of the whole. The most complete treatment
of systematic sampling in one volume, Forest Sampling Desk
Reference explains the uses and limitations of individual sampling
designs in forest inventory operations. This text contains detailed
derivations of the most commonly used statistical methods in
forestry. It provides examples that highlight the statistical
methods. The author covers probability and probability
distributions and the development of logical regression models. The
text discusses systematic sampling, describing its benefits and
shortcomings in detail. It provides an in depth examination of the
controversial 3-P sampling procedure. The validity and strength of
sampling results vary from option to option, along with their costs
in terms of money and time. Before selecting a sampling procedure
you need to know their strengths and weaknesses in relation to
their expense. Forest Sampling Desk Reference supplies the
background necessary for making these decisions.
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