Multiple Regression Stream Temperature Model

This simple Stream Temperature Modeling and Monitoring approach uses thermograph data and geomorphic predictor variables from GIS software and digital elevation models (DEM). Multiple regression models are used to predict stream temperature metrics throughout a stream network with moderate accuracy (R² ~ 0.65). The models can provide basic descriptions of spatial patterns in stream temperatures, suitable habitat distributions for aquatic species, or be used to assess temporal trends related to climate or management activities if multiple years of temperature data are available.

A Watershed-Scale Monitoring Protocol for Bull Trout

This document describes: (1) using a geographic information system to stratify a river network into suitable and unsuitable habitats, (2) determining sample sizes and locations, (3) field sampling techniques, (4) basic trend analysis, and (5) an example application and cost estimates derived from a pilot project in Idaho. (RMRS-GTR-224).

Methods and Instructions

Includes procedures, relevant publications and links to the more detailed GIS instructions

Maps

Includes various maps of the Secesh River basin

Data

Includes example data

Related Publications

Publications