Abstract
Generalised linear models (GLMs) were used to estimate the alpha diversity of the ground vegetation of boreal managed forests. Alpha diversity was described using Simpson's reciprocal, which was employed as a response variable in modelling, the explanatory variables being the tree and site characteristics. The data were from Northern Karelia, Eastern Finland. Several combinations of error and link functions were used to examine the patterns in the data, the best results being obtained with a model containing the normal error and identity link function, and the second power of the explanatory variable and one containing the gamma error and reciprocal link function. Site type, the presence of pubescent birch and the basal area of the stand were the significant variables in these models.It was concluded that GLMs are suitable tools for estimating biodiversity within the scope of the present data. In addition, it was found that the highest ground vegetation diversity exists within fertile stands with a mixture of birch and a low stand basal area. Models of this kind would be useful in forest management planning in order to study the effect of management on vegetational diversity using the values of different tree stand and site variables before and after treatment.
Published Version
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