An attempt at modelling the periphyton dynamics with artificial neural networks exemplified by the oxbow lake reopening study (The Slupia River, Northern Poland

• Autorzy: Obolewski K. , Strzelczak A.
• Języki publikacji: EN

Abstrakty

EN

An experiment was performed in the Osokowy Staw oxbow lake (the Słupia River, northern Poland). The old riverbed was reconnected with the riverine system and periphyton communities on nylon artificial substrate were surveyed before and after engineering works. Then, ANN (Artificial Neural Network) architectures were designed and trained in order to create models of interactions between 18 macrozooperiphyton, microzooperiphyton and phytoperiphyton taxa in the changing ecosystem. Calculations were performed using StatSoft Software Statistica 6.1 with the implemented neural network module.Neural network models allowed a quantitative insight into periphyton dynamics and indicated trophic relationships, both predatoryprey and competitive. Thus, we see ANN as a good technique for modelling multidimensional, nonlinear relations between epiphytic organisms and as a promising method for creating overall models.

Słowa kluczowe

EN

modelling; periphyton dynamics; artificial neural network; oxbow lake; Slupia River; Northern Poland; Poland; periphyton density; ecoengineering zob.ecological engineering; ecological engineering; eco-engineering zob.ecological engineering; artificial substratum; Pomeranian region

• Wydawca: -
• Czasopismo: Ecological Questions
• Rocznik: 2008
• Tom: 10
• Opis fizyczny: p.31-40,fig.,ref.

Twórcy

autor

Obolewski K.

• Department of Land Reclamation and Environmental Menagement, University of Warmia and Mazury, Plac Lodzki 2, 10-756 Olsztyn, Poland

autor

Strzelczak A.

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