Record Details
Selecting discriminant function models for predicting the expected richness of aquatic macroinvertebrates
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Selecting discriminant function models for predicting the expected richness of aquatic macroinvertebrates |
| Creator | Van Sickle, J. Huff, D. D. Hawkins, Charles P. |
| Description | 1. The predictive modelling approach to bioassessment estimates the macroinvertebrate assemblage expected at a stream site if it were in a minimally disturbed reference condition. The difference between expected and observed assemblages then measures the departure of the site from reference condition. 2. Most predictive models employ site classification, followed by discriminant function (DF) modelling, to predict the expected assemblage from a suite of environmental variables. Stepwise DF... |
| Date | 2006-01-01T08:00:00Z |
| Type | text |
| Identifier | https://digitalcommons.usu.edu/wats_facpub/794 info:doi/10.1111/j.1365-2427.2005.01487.x |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
| Source | Watershed Sciences Faculty Publications |
| Publisher | Hosted by Utah State University Libraries |
| Subject | richness aquatic macroinvertebrates discriminant function models |
