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Accounting for large-scale factors in the study of understory vegetation using a conditional logistic model

S. Kuhlmann-Berenzon ; Urban Hjorth (Institutionen för matematiska vetenskaper)
Environmental and Ecological Statistics (1352-8505). Vol. 14 (2007), 2, p. 149-159.
[Artikel, refereegranskad vetenskaplig]

Local-scale and large-scale factors can affect the presence of a species of understory vegetation in the forest. Local-scale factors may be the influence of surrounding trees, while climate and latitude are typically considered large-scale factors. A model for the presence of a species needs to take into account both scales. A conditional logistic model is proposed for those studies where only the local-scale factors are of interest and that avoids estimating the large-scale parameters. Conditioning is carried out by the number of quadrats in the plot where the vegetation is found. As the latter is a sufficient statistic for the large-scale factors, a model free from these parameters is obtained. Data gathered in the permanent sample plots of the 1985-1986 National Forest Inventory of Finland is used for illustration, where the local-scale factor of interest is the influence of the trees, quantified by an index based on the size and location of the trees. The model fitted to Vaccinium vitis-idaea showed a significant and positive influence of Scots pine on the presence of this species, while for Calamagrostis arundinacea, a decrease in the odds ratio was observed due to the influence of Norway spruce.

Nyckelord: ecology, forestry, influence potential, local scale, logistic, regression, nuisance parameters, odds ratio, sufficient statistics, FINLAND, FOREST, STAND

Denna post skapades 2008-12-15.
CPL Pubid: 81485


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