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Visualization of fish community distribution patterns using the self-organizing map: A case study of the Great Morava River system (Serbia)

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  • Stojkovic, Milica
  • Simic, Vladica
  • Milosevic, Djuradj
  • Mancev, Dejan
  • Penczak, Tadeusz

Abstract

There is little information on how fish communities are in accordance with landscape classification. In this study, we have chosen the Great Morava River system to characterize fish assemblages and to assess how well they correspond to the landscape classification. Fish assemblage data was collected during a period between 2003 and 2011 at 99 sampling sites. The sites were patterned using the self-organizing map (SOM) based on fish biomass data. The SOM analysis distinguished two main clusters of samples, X and Y. The Y concerns the downstream areas, while the X was subdivided to the sub-clusters X1 (mid-stream areas) and X2 (upstream areas). Generally, the classification of the fish assemblages derived by SOM is in accordance with the a priori landscape classification to a greater extent. The significant anthropogenic influence is responsible for the misclassification of some particular sites. The classification strength, derived from the fish community classification obtained by SOM, was higher than for a priori defined groups. Environmental parameters, which the landscape classification is based on, such as altitude and dominant substrate, are found to be very important for community structure. The results of this study reveal the spatial organization of fish communities which could help their implementation in rapid bioassessment programs.

Suggested Citation

  • Stojkovic, Milica & Simic, Vladica & Milosevic, Djuradj & Mancev, Dejan & Penczak, Tadeusz, 2013. "Visualization of fish community distribution patterns using the self-organizing map: A case study of the Great Morava River system (Serbia)," Ecological Modelling, Elsevier, vol. 248(C), pages 20-29.
    • Handle: RePEc:eee:ecomod:v:248:y:2013:i:c:p:20-29
    DOI: 10.1016/j.ecolmodel.2012.09.014
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    References listed on IDEAS

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    1. Penczak, T. & Głowacki, Ł. & Kruk, A. & Galicka, W., 2012. "Implementation of a self-organizing map for investigation of impoundment impact on fish assemblages in a large, lowland river: Long-term study," Ecological Modelling, Elsevier, vol. 227(C), pages 64-71.
    2. Penczak, T., 2009. "Fish assemblage compositions after implementation of the IndVal method on the Narew River system," Ecological Modelling, Elsevier, vol. 220(3), pages 419-423.
    3. Kruk, A. & Lek, S. & Park, Y.-S. & Penczak, T., 2007. "Fish assemblages in the large lowland Narew River system (Poland): Application of the self-organizing map algorithm," Ecological Modelling, Elsevier, vol. 203(1), pages 45-61.
    4. Penczak, Tadeusz, 2011. "Fish assemblages composition in a natural, then regulated, stream: A quantitative long-term study," Ecological Modelling, Elsevier, vol. 222(13), pages 2103-2118.
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    1. Milica Stojković & Djuradj Milošević & Snežana Simić & Vladica Simić, 2014. "Using a Fish-Based Model to Assess the Ecological Status of Lotic Systems in Serbia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4615-4629, October.

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