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AN EPA SPONSORED LITERATURE REVIEW DATABASE TO SUPPORT STRESSOR IDENTIFICATION
Citation:
Jessup, B., C. Cresswell, P ShawAllen, B Subramanian, AND S M. Cormier. AN EPA SPONSORED LITERATURE REVIEW DATABASE TO SUPPORT STRESSOR IDENTIFICATION. Presented at New England Association of Environmental Biologists, Hancock, MA, March 17-19, 2004.
Impact/Purpose:
The purpose of this research project is to provide methods, tools and guidance to Regions, States and Tribes to support the TMDL program. This research will investigate new measurement methods and models to link stressors to biological responses and will use existing data and knowledge to develop strategies to determine the causes of biological impairment in rivers and streams. Research will be performed across multiple spatial scales, site, subwatershed, watershed, basin, ecoregion and regional/state.
Description:
The Causal Analysis/Diagnosis Decision Information System (CADDIS) is an EPA decision-support system currently under development for evaluating the biological impact of stressors on water bodies. In support of CADDIS, EPA is developing CADLIT, a searchable database of the scientific literature that will allow interactive searching of published relationships between sources, stressors, and responses. CADLIT is currently being populated with reviews of literature that include metals, clean sediment, and inorganic contaminants as stressors. When it is complete, investigators will be able to access and query the database through a CADDIS website. Evidence of consistent associations of exposures and responses, analogous experiments, stressor/response thresholds, and plausible mechanisms of stressor effects will be accessible for the investigator's source, stressor, response, and location of interest. Retrievable data and meta-data include study location, pollutant source, study design, sample collection methods, exposure characteristics, response type, response measurement, and response organism or taxa group. Reviewers summarize the contribution of each paper to stressor identification in a short paragraph and listing of applicable lines of evidence. This presentation will demonstrate the data input and querying capabilities of the CADLIT prototype.