Application of artificial neural network models to analyse the relationships between Gammarus pulex L. (Crustacea, Amphipoda) and river characteristics
| Autor: | Peter Goethals, Niels De Pauw, Sovan Lek, Andy Dedecker, Tom D'Heygere, Muriel Gevrey |
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| Rok vydání: | 2004 |
| Předmět: |
Management
Monitoring Policy and Law Environment Stability (probability) Belgium Rivers Abundance (ecology) Statistics Water Movements Animals Amphipoda General Environmental Science Mathematics Hydrology Population Density Artificial neural network biology Phosphorus General Medicine biology.organism_classification Pollution Backpropagation Quaternary Ammonium Compounds Variable (computer science) Gammarus pulex Partial derivative Neural Networks Computer Constant (mathematics) Water Pollutants Chemical Environmental Monitoring |
| Zdroj: | Environmental monitoring and assessment. 111(1-3) |
| ISSN: | 0167-6369 |
| Popis: | This study aimed at analysing the relationship between river characteristics and abundance of Gammarus pulex. To this end, four methods which can identify the relative contribution and/or the contribution profile of the input variables in neural networks describing the habitat preferences of this species were compared: (i) the "PaD" ("Partial Derivatives") method consists of a calculation of the partial derivatives of the output in relation to the input variables; (ii) the "Weights" method is a computation using the connection weights of the backpropagation Artificial Neural Networks; (iii) the "Perturb" method analyses the effect of a perturbation of the input variables on the output variable; (iv) the "Profile" method is a successive variation of one input variable while the others are kept constant at a fixed set of values. The dataset consisted of 179 samples, collected over a three-year period in the Zwalm river basin in Flanders, Belgium. Twenty-four environmental variables as well as the log-transformed abundance of Gammarus pulex were used in this study. The different contribution methods gave similar results concerning the order of importance of the input variables. Moreover, the stability of the methods was confirmed by gradually removing variables. Only in a limited number of cases a shift in the relative importance of the remaining input variables could be observed. Nevertheless, differences in sensitivity and stability of the methods were detected, probably as a result of the different calculation procedures. In this respect, the "PaD" method made a more severe discrimination between minor and major contributing environmental variables in comparison to the "Weights", "Profile" and "Perturb" methods. From an ecological point of view, the input variables "Ammonium" and to a smaller extent "COD", were selected by these methods as dominant river characteristics for the prediction of the abundance of Gammarus pulex in this study area. |
| Databáze: | OpenAIRE |
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