2003
DOI: 10.1007/s00267-002-0036-4
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Integrating Bioassessment and Ecological Risk Assessment: An Approach to Developing Numerical Water-Quality Criteria

Abstract: / ioassessment is used worldwide to monitor aquatic health but is infrequently used with risk-assessment objectives, such as supporting the development of defensible, numerical water-quality criteria. To this end, we present a generalized approach for detecting potential ecological thresholds using assemblage-level attributes and a multimetric index (Index of Biological Integrity-IBI) as endpoints in response to numerical changes in water quality. To illustrate the approach, we used existing macroinvertebrate … Show more

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Cited by 139 publications
(74 citation statements)
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“…able streams, using specific regional features. This paper reinforces the idea that multimetric indices can be built at a watershed scale (KING & RICHARDSON 2003). In this study, twenty seven sites were sampled, which is a representative number of sites for rivers that belong to a typology defined by having a catchment area between 10-100 km 2 , granite geology and altitude ranging between 700-1200 m a.s.l,, within the Paquequer, Piabanha and Preto Basin.…”
Section: Discussionmentioning
confidence: 80%
“…able streams, using specific regional features. This paper reinforces the idea that multimetric indices can be built at a watershed scale (KING & RICHARDSON 2003). In this study, twenty seven sites were sampled, which is a representative number of sites for rivers that belong to a typology defined by having a catchment area between 10-100 km 2 , granite geology and altitude ranging between 700-1200 m a.s.l,, within the Paquequer, Piabanha and Preto Basin.…”
Section: Discussionmentioning
confidence: 80%
“…Change-point synchrony is well known along thermal (e.g., Wehrly et al 2003) and nutrient gradients (e.g., King and Richardson 2003) among others. In TITAN, synchronous change at the community level is identified by sharp peaks in sum(z) maxima with narrow confidence intervals, and corresponding alignment of change points for robust indicator taxa.…”
Section: Synchronicity and Community Changementioning
confidence: 99%
“…In the Upper Jordan River basin algae developed more actively during the rainy season (December-March). In order to make any conclusion regarding to the intensity of these processes, it was essential to determine the attributes of four general classes: (1) taxonomic composition, (2) species richness and diversity, (3) tolerance/intolerance, and (4) trophic structure (King and Richardson, 2003). Referring to the first three classes we previously assessed the algal diversity in the Upper Jordan River basin on the basis of our data base (Barinova et al, 2006).…”
Section: Introductionmentioning
confidence: 99%