Ministry of Environment
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Report: Improving Statistical Methods for Modeling Species Sensitivity Distribution

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An investigation of different methods of modeling species sensitivity distributions to support water quality guideline derivation.

Author:  Carl J. Schwarz, Angeline R. Tillmanns

Date Published:  Sep 2019

Report ID:  57400

Audience:  Government and Public

The ENV is interested in developing new methods and software to fit species sensitivity distribution (SSD) models to support water quality guideline derivation. The purpose of this report, therefore, is to identify and propose new statistical methods for deriving a guideline and its associated uncertainty. Specifically, this report will discuss the limitations of using a non-linear least squares regression (NLLSR) approach to fit SSDs; investigate new approaches for calculating SSDs and estimating uncertainty; compare guideline values computed using NLLSR with those computed using a proposed new approach; and investigate statistical methods for including data point uncertainty such as within-species variability and measurement error.

Report Type
  Surface Water
  Water Information - Water Quality

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