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Exploratory Analysis and a Stochastic Model for Humusdisintegration
Authors:Roland Fried  Johannes Eichhorn  Uwe Paar
Institution:(1) Department of Statistics, University of Dortmund, Germany;(2) Forest Research and Forest Ecology, Hessian Agency of Forest Management Planning, Hannoversch Münden, Germany
Abstract:Ulrich (1981) supposes in the hypothesis of humusdisintegrationthat the balance between polymerisation and breakdown of organicmaterial may be disturbed in chemically well buffered Europeanforest soils. This new aspect of aluminium toxicity may causenitrogen exceedance in forest ecosystems and subsequent seasonalnitrate output (Eichhorn and Hütterman, 1999).In a research program the substances in the seepage water aremonitored in a small woodland in central Germany. We explorethese multivariate data for examining possible influences on theprocess of humusdisintegration and its temporal evolution. As aresult, a regression model for carbon is developed, whichincludes covariables, i.e., other substances, as well as spatialand temporal terms describing systematic variability. Especiallyiron and aluminium turn out to be very influential in the model.So far our work is a basic step for monitoring the seepage waterdata by means of stochastic modelling.
Keywords:forest damage  multivariate regression  spatial-temporal data  statistical modelling
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