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Combination of a Stressor-Response Model with a Conditional Probability Analysis Approach for Developing Candidate Criteria from MBSS

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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.

URLs/Downloads:

JP PRESENTATION.PDF  (PDF, NA pp,  245  KB,  about PDF)

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