Vegetation and Deer Habitat Relations in Southern Ontario: Classification of Habitat Types

Stocker M, Gilbert F, Smith DW. 1977. Vegetation and Deer Habitat Relations in Southern Ontario: Classification of Habitat Types. Journal of Applied Ecology. 14(2):419-432

A functional habitat classification was derived using the parametric land classification approach. Construction of a habitat map was based on photo-ecological techniques, vegetation sampling and analysis. Cluster analysis of a similarity matrix derived from stand data summaries in the form of importance values of 580 sampling points in thirty-two stands located throughout the study area produced the habitat classification of nine cluster types at a similarity coefficient of c. forty-four (Ward's method of hierarchical grouping). The indicator species of the overstory, sapling, shrub and groundcover strata defined for each of the nine vegetative cluster types were: Cluster 1, grasses/Phleum pratense/Trifolium spp.; Cluster 2, Myrica gale/Alnus rugosa-Carex spp; Cluster 3, Alnus rugosa/Spiraea spp.-grasses; Cluster 4, Thuja occidentalis/Picea mariana-Alnus rugosa-Sphagnum spp.; Cluster 5, Abies balsamea/Populus spp.-Corylus cornuta-ferns; Cluster 6, Abies balsamea/Picea glauca-Nemopanthus mucronatus-ferns; Cluster 7, Acer saccharum/Betula lutea-Acer saccharum-A. saccharum; Cluster 8, Acer saccharum/Abies balsamea-Acer saccharum-ferns; Cluster 9, Betula papyrifera/Acer saccharum-Corylus cornuta-ferns. A large proportion of the area (57·1%) was mature forest vegetation, represented by Clusters 7 and 8. The hardwoods (Cluster 9) and mixedwoods (Cluster 5), which represented early successional stages, were well represented (13·4%). Softwoods (Cluster 6), comprised 12·5% of the study area. The lowland softwoods (Cluster 4) occurred in isolated patches throughout the area (7·2%). The remaining cluster types comprised 9·8% of the study area. It is concluded that the classification scheme presented provides a useful framework for habitat evaluation related to wildlife populations, and in this respect would be considered a useful wildlife management tool.

Type
Journal Article
Authors
Stocker, M; Gilbert, F F; Smith, D
Units
SODN
Keywords
Ecology (Animal), Ecology (Plant), Forestry, Statistics (Biometry Descriptive Mathematics), Wildlife Management

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