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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.
Maps - Includes various maps of the Secesh River Basin.
Includes example data (Excel spreadsheet format).
Watershed-Scale Monitoring Protocol for Bull Trout- Bull trout are a charr species native to streams
of the Pacific Northwest that require extremely cold stream
temperatures and relatively pristine habitat conditions to persist.
Population declines during the 20th century prompted listing under
the Endangered Species Act and several national forests have also
designated bull trout as a Management Indicator Species. Such
designations require monitoring the status and trends of populations
across extensive tracts of US Forest Service lands, but limited
budgets often make this a daunting task. Researchers at the Boise Aquatic Sciences Laboratory have developed a watershed-scale monitoring protocol for bull trout
designed to address these needs. Rather than relying on intensive
and costly monitoring of abundance at a few sites, the protocol
focuses on temporal patterns of occurrence within suitable habitat
patches, thereby requiring less intense sampling at individual sites
and making it possible to sample larger areas more relevant to land
managers. As initial data are collected, models of detection
efficiency and species occurrence can be developed and used to
refine future sampling efforts based on desired levels of
statistical certainty and habitat conditions.
Measuring Stream Temperature with Digital Data Loggers
- Thermal regimes are a fundamental attribute of stream ecosystems and the ability to monitor and model these regimes are rapidly advancing. With a simple protocol that uses underwater epoxy to attach sensors, more than 500 new monitoring sites were established from 2010 to 2012 in rivers and streams across the Rocky Mountains.