Title of article
Extracting knowledge on the links between the water body stressors and biotic integrity
Author/Authors
Elias Manolakos، نويسنده , , Hardik Virani، نويسنده , , Vladimir Novotny، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2007
Pages
10
From page
4041
To page
4050
Abstract
Multi-metric indices of biological integrity (IBIs) are most frequently created by examining single biological metrics along gradients of environmental degradation, and then combining multiple metrics using “best professional judgment” to characterize and calibrate stressor–response relationships. We aim to provide an efficient data analysis and visualization tool to assess the simultaneous effects of anthropogenic stressors on the fish population through the fish metrics and the associated Index of Biotic Integrity (IBI). Kohonenʹs self-organizing feature maps (SOM), unsupervised neural networks, are employed to pattern the sampling sites in the state of Ohio based on similar metrics characteristics. Canonical correspondence analysis (CCA) allows us then to draw conclusions about the role of the environmental variables in maintaining the perfect abode for fishes. Different visualizations superimposed with SOM clustering are realized to explore the complex interrelationships in the aquatic system and aid watershed managers to comprehend the effects of the environment on the fish.
Keywords
Index of biotic integrity (IBI)Self-organizing map (SOM)Watershed managementStressorsFish metricsCanonical correspondence analysis(CCA
Journal title
Water Research
Serial Year
2007
Journal title
Water Research
Record number
764607
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