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Gewählte Publikation:

Lexer, M.J., Hönninger, K., Englisch, M..
(1999): Schätzung von chemischen Bodenparametern für Waldstandorte am Beispiel der Österreichischen Waldinventur.
Forstw. Cbl., 118, 212-227

The spatially explicit application of ecosystem simulation models for large-scale scenario modelling is seriously hampered by a lack of quantitative site data for model initialization. In this contribution an approach based on the Bayesian probability theory is applied to estimate pH-value, organic carbon and nitrogen (total) pools of the upper mineral horizont (0-30 cm) for sample plots of the Austrian Forest Inventory The predictive models are calibrated from data of 481 sample plots of the Austrian Forest Soil Survey. In a preliminary validation attempt Cohen's kappa (for ordinal data), linear regression analysis, the modelling eficiency as well as confidence, prediction and tolerance intervals (for metric data) according to REYNOLDS (1984) are applied. It was shown that reliable estimates for chemical soil parameters are possible from quite general sire characteristics such as altitude, orientation, slope, topography, soil type and geology.
Autor*innen der BOKU Wien:
Lexer Manfred Josef

Find related publications in this database (Keywords)
Forest Inventory
ecosystem modelling
soil chemistry

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