A fish-based assessment tool for the ecological quality of the brackish Schelde estuary in Flanders (Belgium) View Full Text


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Article Info

DATE

2006-09-25

AUTHORS

Jan J. Breine, Joachim Maes, Paul Quataert, Ericia Van den Bergh, Ilse Simoens, Gerlinde Van Thuyne, Claude Belpaire

ABSTRACT

This paper presents a new approach which was developed to find an optimal combination of candidate metrics for creating a fish-based estuarine biotic index (EBI) for defining the quality status of an estuarine area. The key idea was that a powerful index should minimise two prediction errors simultaneously: falsely declaring the status of a site as disturbed while it is not (Type I error) and the reverse, falsely declaring a disturbed site as undisturbed (Type II error). The balance between both errors is an inherent characteristic of an index and can be displayed as a curve. The area under this curve (AUC) is a measure of the misclassification rate (smaller = better). This criterion was the basis for a stepwise approach whereby in each step a metric resulting in the highest reduction of AUC was added. Five metrics were selected and the distribution of their average was the basis to derive the thresholds for the classes of the EBI. This paper presents the fish-based index (EBI) for the brackish Schelde estuary in Flanders (Belgium). The index was calibrated against fyke net data from five sites during the period from 1995 to 2004. The sites ranged in quality from moderately impacted to very disturbed, classes 3 to 5 respectively. Despite there being neither of the highest classes 1 (high) and 2 (good), the EBI presented can serve as an evaluation tool in the highly impacted situation in Flanders as it discriminates well between moderate and highly impacted sites. In addition, its definition complies with the biological status classes of the European Water Framework Directive (WFD). More... »

PAGES

141

References to SciGraph publications

  • 2001-04. Fish assemblage structure in relation to environmental variation in a Texas Gulf coastal wetland in ESTUARIES AND COASTS
  • 1997-03. An estuarine benthic index of biotic integrity (B-IBI) for Chesapeake Bay in ESTUARIES AND COASTS
  • 2005-05. Spatial and temporal patterns of water quality along the estuarine salinity gradient of the Scheldt estuary (Belgium and The Netherlands): results of an integrated monitoring approach in HYDROBIOLOGIA
  • 2002-04. Regional application of an index of estuarine biotic integrity based on fish communities in ESTUARIES AND COASTS
  • 1990-04. The forth estuary: a nursery and overwintering area for North Sea fishes in HYDROBIOLOGIA
  • 1999-09. Fish assemblage composition in constructed and natural tidal marshes of San Diego Bay: Relative influence of channel morphology and restoration history in ESTUARIES AND COASTS
  • 2002-06. Exploration of spatial and temporal patterns of fish diversity and composition in a tropical estuarine system of Mexico in REVIEWS IN FISH BIOLOGY AND FISHERIES
  • 2001-03. An integrated exploratory approach to examining the relationships of environmental stressors and fish responses in JOURNAL OF AQUATIC ECOSYSTEM STRESS AND RECOVERY
  • 1999-10. Changes in the Tagus nursery function for commercial fish species: some perspectives for management in AQUATIC ECOLOGY
  • 1989-09. Monitoring the fish fauna in the Wadden Sea with special reference to different fishing methods and effects of wind and light on catches in HELGOLAND MARINE RESEARCH
  • 1997-09. Development and validation of an estuarine biotic integrity index in ESTUARIES AND COASTS
  • 2004-07. A fish-based index of biotic integrity for upstream brooks in Flanders (Belgium) in HYDROBIOLOGIA
  • 2001-03. The ichthyofaunal composition of the Elbe Estuary: an analysis in space and time in MARINE BIOLOGY
  • 2000-06. Habitat use by early life-history stages of fishes and crustaceans along a changing estuarine landscape: differences between natural and altered shoreline sites in WETLANDS ECOLOGY AND MANAGEMENT
  • 1997-05. The value of the world's ecosystem services and natural capital in NATURE
  • <error retrieving object. in <ERROR RETRIEVING OBJECT
  • 1994-05. Changes in the fish fauna of the Oosterschelde estuary — a ten-year time series of fyke catches in HYDROBIOLOGIA
  • 1998-09. Development of community metrics to evaluate recovery of Minnesota wetlands in JOURNAL OF AQUATIC ECOSYSTEM STRESS AND RECOVERY
  • 1995-12. The structure and components of European estuarine fish assemblages in AQUATIC ECOLOGY
  • 2000-06. Fish assemblages as indicators of water quality in the middle Thames estuary, England (1980–1989) in ESTUARIES AND COASTS
  • 2002-12. An estuarine benthic index of biotic integrity for the Mid-Atlantic region of the United States. II. Index development in ESTUARIES AND COASTS
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