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Combination of a Stressor-Response Model with a Conditional Probability Analysis Approach for Developing Candidate Criteria from MBSS
Citation:
PAUL, J. F. Combination of a Stressor-Response Model with a Conditional Probability Analysis Approach for Developing Candidate Criteria from MBSS. Presented at Maryland Streams Symposium, Westminster, MD, August 10 - 13, 2011.
Impact/Purpose:
This approach is also able to incorporate multiple stressors that can be observed from the data. The issue of nutrient (N and P) co-limitation in Maryland streams will be used to demonstrate this capability.
Description:
I show that a conditional probability analysis using a stressor-response model based on a logistic regression provides a useful approach for developing candidate water quality criteria from empirical data, such as the Maryland Biological Streams Survey (MBSS) data.
Record Details:
Record Type:DOCUMENT( PRESENTATION/ ABSTRACT)
Product Published Date:08/13/2011
Record Last Revised:03/12/2012
OMB Category:Other
Record ID:
237910