1
Forest Biometrics exam 1 Questions with
Correct Answers for Specific Exam Mail
This course will concentrate on two areas:
Ans: Sampling and Estimation
Growth and Yield
Sampling is
Ans: a method or process that allows an estimation to be generated to
describe a population
why dont we measure all the trees in an area?
Ans: Measuring an entire population is time consuming and in most cases
cost prohibitive
Sampling, if done correctly, can provide a
Ans: cost effective and accurate method for effective decision making for
natural resource managers
there is a direct correlation between costs and
Ans: information quality
To determine the quality of sampling and estimation we will use
Ans: statistics for validation
Pretest - Stuvia US
,2
For a forester, the sampling and estimation process is called
Ans: forest inventory
2 most common reasons to do a forest inventory
Ans: gather info for
-management
-timber sales
The intensity of a forest inventory results in an estimation of the
Ans: -whats out there
-how much is out there
-where is it
the higher the intensity of an inventory, the greater the
Ans: accuracy
Inventory Objectives can include
Ans: Volume or value or both of timber in a defined spatial extent
Number of deer per spatial unit
Habitat quality for a wildlife species
Occurrences of other species (vegetative or animal)
Fuel Load Modeling
Road characteristics and integrity
Soil analysis
Two types of Sampling:
Pretest - Stuvia US
, 3
Ans: Subjective and Probability
subjective sampling
Ans: can be implemented with or without preconceived bias
what does biased sampling mean
Ans: conscious avoidance of forest stand nonconformities i.e. only pick plots
that seem to represent the entire stand that can leave out nonaverage
characteristics
what does non-biased sampling mean
Ans: inclusion of forest conditions that include areas considered extremes
(min/max) of the population i.e. small/large DBH
Subjective sampling Can be justified when:
Ans: • Extreme high cost of sampling and large variations between sample
variables i.e. inaccessible spatial extents with large ranges for DBH and #
Trees
• Estimations are time sensitive and decisions are not related to bias
estimates
• Low funding to complete inventory
• Precision estimates are not needed
• Results are not going to be contested
probabilty sampling
Pretest - Stuvia US
Forest Biometrics exam 1 Questions with
Correct Answers for Specific Exam Mail
This course will concentrate on two areas:
Ans: Sampling and Estimation
Growth and Yield
Sampling is
Ans: a method or process that allows an estimation to be generated to
describe a population
why dont we measure all the trees in an area?
Ans: Measuring an entire population is time consuming and in most cases
cost prohibitive
Sampling, if done correctly, can provide a
Ans: cost effective and accurate method for effective decision making for
natural resource managers
there is a direct correlation between costs and
Ans: information quality
To determine the quality of sampling and estimation we will use
Ans: statistics for validation
Pretest - Stuvia US
,2
For a forester, the sampling and estimation process is called
Ans: forest inventory
2 most common reasons to do a forest inventory
Ans: gather info for
-management
-timber sales
The intensity of a forest inventory results in an estimation of the
Ans: -whats out there
-how much is out there
-where is it
the higher the intensity of an inventory, the greater the
Ans: accuracy
Inventory Objectives can include
Ans: Volume or value or both of timber in a defined spatial extent
Number of deer per spatial unit
Habitat quality for a wildlife species
Occurrences of other species (vegetative or animal)
Fuel Load Modeling
Road characteristics and integrity
Soil analysis
Two types of Sampling:
Pretest - Stuvia US
, 3
Ans: Subjective and Probability
subjective sampling
Ans: can be implemented with or without preconceived bias
what does biased sampling mean
Ans: conscious avoidance of forest stand nonconformities i.e. only pick plots
that seem to represent the entire stand that can leave out nonaverage
characteristics
what does non-biased sampling mean
Ans: inclusion of forest conditions that include areas considered extremes
(min/max) of the population i.e. small/large DBH
Subjective sampling Can be justified when:
Ans: • Extreme high cost of sampling and large variations between sample
variables i.e. inaccessible spatial extents with large ranges for DBH and #
Trees
• Estimations are time sensitive and decisions are not related to bias
estimates
• Low funding to complete inventory
• Precision estimates are not needed
• Results are not going to be contested
probabilty sampling
Pretest - Stuvia US
