edoc

Use of objective criteria for the assessment of biogeochemical ecosystem models

Alewell, C. and Manderscheid, B.. (1998) Use of objective criteria for the assessment of biogeochemical ecosystem models. Ecological modelling, Vol. 107, No. 2/3. pp. 213-224.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A5251185

Downloads: Statistics Overview

Abstract

Ecosystem modeling is confronted with complex biological systems and changing environmental conditions. A model which describes ecosystem behavior under all conditions has not been found yet and there does not exist one 'true' model for a specific ecosystem. Often ecosystem models describe the measured data more or less well, but most judging criteria for model performance are rather subjective. Furthermore. from a mathematical view point the calibrations of ecosystem models are hardly ever unique. The aim of this stud; was to develop and use criteria which permit an objective comparison of different models to the observed field data and to each other. A given model which describes a specific system significantly better will be declared the 'valid' model while the other will be rejected. The term 'valid' is used here in a sense that any model that could not be proven invalid would be a valid model for the system. We used the biogeochemical soil models MAGIC (Cosby, B.J., Hornberger, G.M., Wright, R.F., 1985. Modelling the effects of acid deposition: assessment of a lumped-parameter model of soil water and stream water chemistry. Water Resour. Res. 21, 51-63) and the SO-Model (derived from the Batch Equilibrium Model (BEM; Prenzel, J., 1991. Introduction to BEM (Batch Equilibrium Model), vol 28. Berichte des Forschungszentrums Waldokosysteme/Waldsterben, Gottingen, 51 pp.). The data set used was the soil solution chemistry in a forest ecosystem of the Selling area (North-West Germany). To test the performance of the models four criteria were used: the efficiency (Martinec, J., Range, A., 1989. Merits of statistical criteria for the performance of hydrologic models. Water Resour. Bull. 25 (2), 421-432; Hinzman, L.D., Kane, D.L., 1991. Snow hydrology of a headwater artic basin; 2. Conceptual analysis and computer modelling. Water Resour. Res. 27, 1111-1121), the Normalized Mean Absolute Error (NMAE, given by Janssen, P.H.M., Heuberger, P.S.C., 1995. Calibration
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Umweltgeowissenschaften > Umweltgeowissenschaften (Alewell)
UniBasel Contributors:Alewell, Christine
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Elsevier
ISSN:0304-3800
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:22 Mar 2012 14:28
Deposited On:22 Mar 2012 14:05

Repository Staff Only: item control page