Evaluation of the Susceptibility of Forest Stands to Mountain Pine Beetle Infestation in Vanderhoof Forest District


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Introduction

Data Sources

Methodology

Manipulation

Figures

Conclusion

CONCLUSION

The final hazard assessment map (figure 9), shows areas of low, medium and high susceptibility to damage by MPB. As can be seen by the map, much of this part of the Vanderhoof forest region could be susceptible to MPB damage; thus preventative measures could be implemented in order to minimize the damage caused or completely forestall an advancement of MPB infestation. The hazard assessment is not an analysis of the risk but only a measure of the susceptibility of a given stand to an infestation; thus it does not indicate when or where an infestation may occur. A risk assessment would include the analysis of the proximity of each stand to an existing infestation. This would provide a clearer understanding of where the MPB may be moving next. A risk assessment was beyond the scope of this particular project.

SOURCES OF ERROR

One of the major sources of error in this analysis was the large amount of unknown data in all forestry datasets. Unknowns in the forest cover data are not unusual since often, as a result of accessibility, time or money constraints, not every stand can be ground truthed or surveyed. An improvement to this analysis may be the employment of some form of statistical interpolation analysis to estimate the values of the missing data, based on the theory of spatial autocorrelation. The main outcome of statistically manipulating the data would still be to provide a general overview of the susceptibility of stands in a given region, however, it would provide a more complete hazard assessment map. Having said this however, one would have to be wary of the outcomes as more data manipulation would be involved.

One other source of error could be with the elevation values used to calculate the location factor. The Trim data were contour lines and in ArcView these could not be converted to Grid. The only method available in ArcView was to convert the contours to Tin then convert the Tin to grid in IDRISI. Fortunately the accuracy of the elevation data was not imperitive as the location factor only provides a general idea of whether or not the Vanderhoof area is susceptible to Mountain Pine Beetle infestation. Since it is already understood that the North of BC is a susceptible area, this was not too much of a concern.

Other difficulties were encountered when joining tables in ArcView and subsequently attempting to import the files into IDRISI. It was quickly realized that the joined shapefile had to be either summarized to create a new shapefile or new fields from the joined table had to be created prior to exporting. This was a function of the join operation in ArcView.

Fortunately not many difficulties were encountered for this project. The major consumer of time was simply gathering the data. As can be seen from the data sources page, a variety of contacts were required to locate all the data necessary to complete the analysis.

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November 2002
Candace Low