Spatial Statistical Stream Temperature Model

This Stream Temperature Modeling and Monitoring approach uses thermograph data and predictor variables obtained from climatologic stations, remotely sensed riparian vegetation, and DEMs.  Spatial statistical models that account for network topology are used to predict stream temperature attributes with good success (R² ~ 0.90).

Peer-Reviewed Journal Article

2010. Effects of climate change and wildfire on stream temperatures and salmonid thermal habitat in a mountain river network. Ecological Applications. 20(5): 1350-1371.

Appendices

Methods and Metadata

Methods and processing steps used in this study.

Freeware software for fitting spatial statistical stream network models like those used in this study is available at the SSN & STARS website.

Boise Lab Briefing Paper

Focus: Stream Temperature Modeling and Monitoring

Data

Includes model inputs and GIS Layers (Data will be posted as they become available.)

Maps

Includes various maps of the Boise River basin

Presentations and Posters

Papers, Posters, Presentations, & Briefing Papers