Inferring Causes of Biological Impairment In the Clear Fork Watershed, West Virginia (Final)
EPA announced the availability of the final report, Inferring Causes of Biological Impairment in the Clear Fork Watershed, West Virginia. This study illustrates a causal assessment in a watershed using the US EPA stressor identification process described on the www.epa.gov/caddis website. This case study demonstrates that a watershed-wide causal assessment has several advantages for making analysis practical, defensible, and showing the relationships among interconnected waterbodies.
The U.S. EPA’s Stressor Identification (SI) Guidance (U.S. EPA 2000) was used to identify and rank the probable physical, chemical, and biological stressors that have impaired the aquatic community in Clear Fork of Coal River, West Virginia. A conceptual model illustrated linkages between candidate causes and their biological effects based on general ecological knowledge. Stressor-response threshold values were based on statistical analyses of statewide data. Relative positions of sampling locations were mapped (from downstream to upstream), along each impaired stream and its tributaries, within a subwatershed. Two types of evidence were used to screen out candidate causes that did not co-occur with effects and those that had no source to enable occurrence using watershed characteristics such as land use and soils, point-source inventories, site observations, and other evidence. Remaining candidate causes were ranked according to the weight of evidence (strongest to weakest) within each watershed. Types of evidence included stressor-response threshold values from the statewide data analyses, and predictive models of specific biological changes associated with candidate causes. Field notes were also consulted for other evidence or explanations for any inconsistencies. These analyses and thresholds were used to assess whether the stressor occurred at a sufficient intensity to cause biological impairments in specific portions of the watershed. We plotted and analyzed quantitative data spatially using a “geo-order” format. Probable causes were different throughout the watershed and the combination of all these causes was evident in the mainstem, which exhibited some resiliency due to dilution and different geophysical attributes. In particular, causes included metal contamination and acidification from mine draining, aluminum toxicity in association with low pH, elevated conductivity, sediment deposition, organic enrichment from direct releases and from algal productivity enhanced by nutrients, and low dissolved oxygen.
The U.S. EPA’s Stressor Identification (SI) Guidance (U.S. EPA 2000) was used to identify and rank the probable physical, chemical, and biological stressors that have impaired the aquatic community in Clear Fork of Coal River, West Virginia. A conceptual model illustrated linkages between candidate causes and their biological effects based on general ecological knowledge. Stressor-response threshold values were based on statistical analyses of statewide data. Relative positions of sampling locations were mapped (from downstream to upstream), along each impaired stream and its tributaries, within a subwatershed. Two types of evidence were used to screen out candidate causes that did not co-occur with effects and those that had no source to enable occurrence using watershed characteristics such as land use and soils, point-source inventories, site observations, and other evidence. Remaining candidate causes were ranked according to the weight of evidence (strongest to weakest) within each watershed. Types of evidence included stressor-response threshold values from the statewide data analyses, and predictive models of specific biological changes associated with candidate causes. Field notes were also consulted for other evidence or explanations for any inconsistencies. These analyses and thresholds were used to assess whether the stressor occurred at a sufficient intensity to cause biological impairments in specific portions of the watershed. We plotted and analyzed quantitative data spatially using a “geo-order” format. Probable causes were different throughout the watershed and the combination of all these causes was evident in the mainstem, which exhibited some resiliency due to dilution and different geophysical attributes. In particular, causes included metal contamination and acidification from mine draining, aluminum toxicity in association with low pH, elevated conductivity, sediment deposition, organic enrichment from direct releases and from algal productivity enhanced by nutrients, and low dissolved oxygen.
Impact/Purpose
The Coal River, WV case study illustrates a causal assessment in a watershed using the USEPA stressor identification process described on www.epa.gov/caddis.Citation
U.S. EPA. Inferring Causes of Biological Impairment In the Clear Fork Watershed, West Virginia (Final). U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-08/146, 2010.History/Chronology
| Date | Description |
|---|---|
| 01- Sep 2007 | An external peer review was conducted by an independent contractor. |
| 03- Jun 2010 | EPA released the final report. |
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This document has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for publication. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.