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INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES

INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES. Scientific Steering Committee Meeting July 26, 2005. TOPICS FOR TODAY. Issues raised at last SSC meeting Approach to validating the MLOE framework A new issue associated with missing data

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INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES

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  1. INCORPORATING MULTIPLE LINES OF EVIDENCE INTO SEDIMENT QUALITY OBJECTIVES Scientific Steering Committee Meeting July 26, 2005

  2. TOPICS FOR TODAY • Issues raised at last SSC meeting • Approach to validating the MLOE framework • A new issue associated with missing data • Expansion of the MLOE framework to indirect effects

  3. BASICS OF THE MLOE FRAMEWORK • Three lines of evidence • Represent a continuum from exposure to effect • Four categories for each LOE • MLOE merged into a station assessment • Integration accomplished through classifying all possible combinations • 4x4x4 tables • Reference • Marginal deviation from reference • Moderate effect • Severe effect • Unimpacted • Likely unimpacted • Inconclusive • Possibly impacted • Likely impacted • Clearly impacted

  4. CHEMISTRY: Moderate Effect Toxicity Benthos

  5. ISSUES RAISED AT LAST SSC MEETING • Should LOE be weighted equally? • Chemistry is the stressor being regulated • Benthos are the endpoint of interest • Toxicity tests are the easiest to interpret • Ensure that there is a place for ancillary data in the assessment framework • Can you separate classification and uncertainty?

  6. STATION ASSESSMENT CATEGORIES • Unimpacted • Likely unimpacted • Inconclusive • Possibly impacted • Likely impacted • Clearly impacted

  7. SEPARATING CLASSIFICATIONAND UNCERTAINTY • Three types of uncertainty • Data quality for a particular data set • Confidence in particular indicators / thresholds • Level of agreement among individual LOE • Our feeling: Best dealt with as a narrative aspect of the implementation guidance

  8. CHEMISTRY: Minor Deviation Toxicity Benthos

  9. SEPARATING CLASSIFICATIONAND UNCERTAINTY • Three types of uncertainty • Data quality for a particular data set • Confidence in particular indicators / thresholds • Level of agreement among individual LOE • Our feeling: Best dealt with as a narrative aspect of the implementation guidance

  10. TOPICS FOR TODAY • Issues raised at last SSC meeting • Approach to validating the MLOE framework • A new issue associated with missing data • Expansion of the MLOE framework to indirect effects

  11. VALIDATION • Repeatability • Are replicate samples at a site classified the same? • Consistency in distribution among individual LOE • SQO application in water bodies of “known” condition

  12. KNOWN CONDITION • Use Bay Protection and Cleanup Program assessment to identify compromised water bodies • That program had targeted data collection to identify hot spots • Use chemistry and toxicity to identify cleanest waterbodies • Use data from sites where only part of the triad is available • Screen these waterbodies further based on land use • Confirm the list using Stakeholder Advisory Committee feedback

  13. TOPICS FOR TODAY • Issues raised at last SSC meeting • Approach to validating the MLOE framework • A new issue associated with missing data • Expansion of the MLOE framework to indirect effects

  14. NEW ISSUE • How should the MLOE framework be applied in habitats where we have not yet developed interpretational tools? • Differs from situation where data were not previously collected, but could be collected • When tools are available for two LOE, apply the modified assessment framework that was developed for the unavailable data situation • When tools are for only available for one LOE, use that LOE in a screening mode • Apply BPJ to other LOE when screening indicates the necessity • BPJ may require additional data collection to establish site-specific reference condition

  15. TOPICS FOR TODAY • Issues raised at last SSC meeting • Approach to validating the MLOE framework • A new issue associated with missing data • Expansion of the MLOE framework to indirect effects

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