FOREST BIOMETRICS UPDATED ACTUAL
QUESTIONS AND CORRECT ANSWERS FULL
SOLUTION VIEW
●● Sampling is
Answer: 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?
Answer: Measuring an entire population is time consuming and in most
cases cost prohibitive
●● Sampling, if done correctly, can provide a
Answer: cost effective and accurate method for effective decision
making for natural resource managers
●● there is a direct correlation between costs and
Answer: information quality
●● To determine the quality of sampling and estimation we will use
Answer: statistics for validation
,●● For a forester, the sampling and estimation process is called
Answer: forest inventory
●● 2 most common reasons to do a forest inventory
Answer: gather info for
-management
-timber sales
●● The intensity of a forest inventory results in an estimation of the
Answer: -whats out there
-how much is out there
-where is it
●● the higher the intensity of an inventory, the greater the
Answer: accuracy
●● Inventory Objectives can include
Answer: 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:
Answer: Subjective and Probability
●● subjective sampling
Answer: can be implemented with or without preconceived bias
●● what does biased sampling mean
Answer: 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
Answer: 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:
Answer: • 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
QUESTIONS AND CORRECT ANSWERS FULL
SOLUTION VIEW
●● Sampling is
Answer: 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?
Answer: Measuring an entire population is time consuming and in most
cases cost prohibitive
●● Sampling, if done correctly, can provide a
Answer: cost effective and accurate method for effective decision
making for natural resource managers
●● there is a direct correlation between costs and
Answer: information quality
●● To determine the quality of sampling and estimation we will use
Answer: statistics for validation
,●● For a forester, the sampling and estimation process is called
Answer: forest inventory
●● 2 most common reasons to do a forest inventory
Answer: gather info for
-management
-timber sales
●● The intensity of a forest inventory results in an estimation of the
Answer: -whats out there
-how much is out there
-where is it
●● the higher the intensity of an inventory, the greater the
Answer: accuracy
●● Inventory Objectives can include
Answer: 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:
Answer: Subjective and Probability
●● subjective sampling
Answer: can be implemented with or without preconceived bias
●● what does biased sampling mean
Answer: 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
Answer: 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:
Answer: • 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
