relative error transmission and detection in strategic forest management model
abstract
the relative error (term error in the thesis always stands for relative error) transmission
from forest resource inventory (fri) data to strategic forest management model
(sfmm) outputs based on different fri data to sfmm outputs bases on fri survey
factors such as age, stocking, height, and their combination, and species was studied. a
basic input file from the fort william forest management unit was used to produce
different experimental data sets which were entered into sfmmtool kit to generate
sfmm input files. each experimental data set was produced through modifying the basic
data to make a given error rate inherent within. through running sfmm input files of the
experimental data sets, various sfmm outputs inherent error were produced, and were
compared using statistical analysis technology and other analysis. it was concluded that
fri data errors such as the errors of species, age, stock, and combined errors of them
could be transformed into sfmm outputs at different rates depending on the different
survey factors.
the results from the study indicated that species errors caused large and various sfmm
output errors, depending on the original forest conditions. age errors could cause small
sfmm output errors except for the case with the age error of more than 15%. stock
errors can be transmitted into sfmm outputs at the same rate as the stock error value.
combination error can be transmitted to sfmm outputs at the same rate as the
combination errors, but with a sharp increase of the rate when the combination error
surpassed 20%. age had an additive effect and interacting effect on the sfmm output
errors when the combination error was equal to or greater than 20%.
based on the study, some suggestions to deal with the problems associated with fri and
sfmm application were made.
collections
- retrospective theses [1604]