Forest Ecosystem Classification in Manitoba : an analysis of a GIS alternative

dc.contributor.authorVan De Vooren, Jennifer Louise Chapmanen_US Resources Instituteen_US of Natural Resources Management (M.N.R.M.)en_US
dc.description.abstractThe purpose of this study was to evaluate the systems available in Manitoba for forest inventory and ecosystem classification and to investigate the viability of linking the Manitoba Forest Resource Inventory (FRI) with the Forest Ecosystem Classification (FEC) for Manitoba using a GIS algorithm. The algorithm used information from the FRI to reinterpret an FEC vegetation type for each of the FRI tree stands (or polygons). The FRI is the standard forest inventory tool that is widely used in Manitoba, but primarily contains information that is useful to the forestry industry (such as timber volumes). The FEC is a classification system that contains more comprehensive information regarding the forest ecosystem but has not been mapped across Manitoba. The algorithm did link the FEC vegetation type descriptions with the FRI polygons but only a weak agreement (16.03%) existed between the vegetation types derived by the algorithm and vegetation types classified on the ground in the field study. The Common Understory Species that are listed in the FEC for each vegetation type identified in the study area were assessed for utility in classifying ecosystem types. The results indicated that Boreal forest species are common across a wide variety of forest ecosystem types in the study area and the species listed as "Common" in the FEC were not good indicators of FEC vegetation type. The main conclusion from the study was that all of the options available in Manitoba for classifying forest ecosystems, including the FEC and FRI, do not fulfill the need for a spatially-broad, comprehensive, classification of forest ecosystems at the stand level.en_US
dc.format.extentix, 171 leaves :en_US
dc.identifier(Sirsi) AQC-6632en_US
dc.rightsopen accessen_US
dc.titleForest Ecosystem Classification in Manitoba : an analysis of a GIS alternativeen_US
dc.typemaster thesisen_US
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